General Info

SUBJECT	SEMESTER	CFU	SSD	LANGUAGE
13873 - MARKETING BARBARA AQUILANI	First Semester	8	SECS-P/08		Learning objectives A) FORMATION OBJECTIVES The aim of the course is to provide a general framework of marketing activities carried out by companies, with a focus on their integration with corporate strategies. b) EXPECTED LEARNING RESULTS 1) Knowledge and understanding Being aware of the strategic and operative marketing both in its strategies and tools to successfully carried out a marketing plan. 2) Applying knowledge and understanding To know and to understand marketing strategies and policies as well as the tools in their peculiarities and characteristics. To acquire the ability to apply the above mentioned strategies and tools to a real firm case. 3) Making judgements Be able to identify the marketing problems relating to a product and/or a service and propose some improvement and/or changes to be realized in line with the brand image and the firm objectives. 4) Communication Skills Riuscire a spiegare sia la situazione attuale dell’impresa sia quella prospettata per alcune aree e/o prodotti e/o servizi anche attraverso l’utilizzo di software per le presentazione. 5) Learning skills To be successful in the learning output it is necessary to be able to read the actual firm situation from a marketing point of view and to be able to identify some areas of improvement. It is also necessary to be able to propose marketing strategies and practical solutions to the problems identified in line with the firm and/or brand image and the business goals. Therefore, students should be able to formulate a right marketing strategy and to identify the most deemed tools to implement it being aware of how marketing operations should be carried out. Teacher's Profile courseProgram The course, after having framed the marketing management in the firm general goals and activities, develops both the strategic marketing (consumer behaviour, segmentation, marketing research general concepts, market strategies, SWOT analysis, etc.) and the operations (product, price, place, promotion) subject matters. The second part of the course focuses on the international marketing basic insights (markets selection, entry strategies and modes, international positioning). The aim of the course is to provide students with all knowledge necessary to understand and develop a marketing plan. To operationalize the acquired knowledge, students will be invited to develop, divided into groups, a project work focusing on a selected product/service. The project would be initiate at half course (more or less) and the work done would be checked by the teacher at half work (3/4 of the course) to make sure it is correctly carried out. The presentation of the project work will take place just at the end of the course in front of the commission which will evaluate the exam. examMode The written test is made up of three open questions related to the course program and aimed at understanding the learning degree achieved about marketing strategies and operations. The written test has to be completed in 1 hour. To pass the oral test can be chosen by the student to integrate the mark obtained which comes from the sum between the written test obtained mark and the points obtained through the project work (see below). The option to pass the oral test is made by the students after the professor has communicated the written test mark and the whole mark obtained at this stage – summing up the project work points. The practical part of the exam is the project work prepared and presented by the students divided in groups at the end of the course relating to a product and/or service of a real firm. The marketing plan prepared by students is presented at the end of the course in front of the exam commission in a date decided with students participating to the project works and marks to be obtained range from 0 to 5. The points obtained with the project work are summed up to the written test mark (see above). The exam is passed successfully when the written test mark is at least equal to 18/30 corresponding to a sufficient knowledge acquired in the subject. If this minimal mark is not obtained the student has to repeat the whole exam and cannot add the points obtained with the project work to the exam evaluation. books J. Paul Peter, James H. jr. Donnelly, Carlo Alberto Pratesi, L. Principato (eds), Marketing, McGraw-Hill, V or VI edition. For this book chapters 9, 13, 15 e 16 are not included in the program of the exam. G. Bertoli , E. Valdani, Marketing Internazionale - III Ed., Egea All this second book has to be studied to pass the exam. Students willing to pass the exam in English can found lessons registrations for the national marketing part of the course in the Moodle platform. In this case the text is the following: Kotler P. and Armstrong G. (2020), Principles of Marketing, Global Edition, Pearson Education Limited; 18° ed. (2020, May, 22), and to pass the exam only the first 16 chapters have to be studied. mode The course will be held in presence. Students will have the opportunity to make the project work in groups. The course will have this time organization: frontal lessons (48 hours), Checks of the project works made in groups (3 hours), presentations of the project works by students (3 hours). Apart for the lessons registrations in Italian, from the academic year 2020-2021, in the Moodle platform also lesson registrations in English are available for students. They cover all the first part of the program held in Italian and correspond to the first 16 Chapters of the text in English (Kotler P. and Armstrong G., 2020, please see the relative section for more details). For each chapter, apart the 14th, two registrations have been prepared in order to make sure that none of them exceed 45 minutes, they length is an average about 33 minutes. classRoomMode Attendance to the course is optional. bibliography J. Paul Peter, James H. jr. Donnelly, Carlo Alberto Pratesi, L. Principato (eds), Marketing, McGraw-Hill, V or VI edition. For this book chapters 9, 13, 15 e 16 are not included in the program of the exam. G. Bertoli , E. Valdani, Marketing Internazionale - III Ed., Egea All this second book has to be studied to pass the exam. Students willing to pass the exam in English can found lessons registrations for the national marketing part of the course in the Moodle platform. In this case the text is the following: Kotler P. and Armstrong G. (2020), Principles of Marketing, Global Edition, Pearson Education Limited; 18° ed. (2020, May, 22), and to pass the exam only the first 16 chapters have to be studied.
13883 - INTERNAL AUDITING FABRIZIO ROSSIANASTASIO RECCHIA	First Semester	8	SECS-P/07		Learning objectives The course aims to provide the student with the theoretical and practical notions aimed at: - Understand the definition and analysis models of the internal control and risk management system of companies; - Know corporate governance rules regarding the internal control and risk management system. - Know international standards of the internal auditing profession - Develop critical analytical skills to improve corporate controls Teacher's Profile courseProgram Module 1 - The governance of internal controls Basic concept and definition Responsibilities, functions and deliverables of the actors of the ICS in corporate governance. Internal auditing in control governance International models of understanding, evaluation and analysis of ICS Methods and techniques for analyzing business processes and risks Module 2 - Internal auditing activities International professional standards for conducting internal auditing The internal auditing process Methodologies and operational tools of the activity Case study examMode Oral interview and possible evaluation of projects developed during the lessons The student must demonstrate that he has understood the scope of the internal control and risk management system as well as the main internal auditing techniques. The evaluation of the oral interview is out of thirty books The teaching material of the course is represented by the handouts made available by the teachers at the beginning of the course and available online on the course page mode Lectures 60%, Other 40% (Exercises, Seminars, Individual or group work, Discussion of theories and / or cases). classRoomMode Attendance is NOT OBLIGATORY, but it is recommended to consolidate concepts and techniques also through practical examples bibliography For further information CoSO Report - Internal Control - Integrated Framework (2013) CoSO Framework - Reading guide - ASSIREVI (2019) Corporate governance code - Borsa Italia (2020) International Professional Practices Framework (IPPF) - Internal Auditors Association Teacher's Profile courseProgram Module 1 - The governance of internal controls Basic concept and definition Responsibilities, functions and deliverables of the actors of the ICS in corporate governance. Internal auditing in control governance International models of understanding, evaluation and analysis of ICS Methods and techniques for analyzing business processes and risks Module 2 - Enterprise Risk Management and Internal Auditing The Global Internal Audit Standards Methodologies and operational tools of the internal auditing activity. Case study. examMode Oral interview and possible evaluation of projects developed during the lessons. The student must demonstrate that he has understood the scope of the internal control and risk management system as well as the main internal auditing techniques. The evaluation of the oral interview is out of thirty. books The teaching material of the course is represented by the handouts made available by the teachers at the beginning of the course and available online on the course page. mode Lectures and seminars classRoomMode Attendance is NOT OBLIGATORY, but it is recommended to consolidate concepts and techniques also through practical examples. bibliography For further information CoSO Report - Internal Control - Integrated Framework (2013) CoSO Framework - Reading guide - ASSIREVI (2019) Corporate governance code - Borsa Italia (2020) International Professional Practices Framework (IPPF) - Internal Auditors Association
13874 - QUALITY MANAGEMENT AND CERTIFICATION ALESSANDRO RUGGIERICECILIA SILVESTRI	First Semester	8	SECS-P/13		Learning objectives 1 - Principles of quality management: models and applications : the customer relationship :customer needs analysis and techniques for the customer satisfaction ; suppliers evaluation ; human resources management : leadership , involvement , motivation, empowerment, training, open organization ; process control into the production - 2 - The quality management: Tools and methods : statistical tools and managerial techniques , the statistical control card ; design for quality ; principles of statistical control for advanced processes 3 –The Quality Management System and the certification process : the application of ISO 9001 ; the quality system implementation ; guidance for the quality audit ; the technical audit process; the non-compliance management ; the evaluation process ; Certified Quality Auditors : training and certification ; The Quality Management Systems for the agro-food food industry 4 - quality management and business management integration: quality control and management control methods in comparison ; the balanced scorecard methodology ; performance indicators in quality management; quality costs Expected learning outcomes 1)Knowledge and understanding skills. Know the statistical and managerial tools to be applied in a quality management system. Know the organization of a quality-oriented firm. 2) Ability to apply knowledge and understanding. Learn the tools needed to properly and efficiently implement a Quality Management System. 3) Autonomy of judgment. Know how to identify non-conformities of a quality management system and know how to identify and apply effective corrective actions. 4) Communication Skills. Ability to transfer the data obtained from an audit in Audit Report 5) Learning Skills. Ability to know how to analyze data from the application of statistical / managerial tools and audits to enable a correct and effective application of a Quality Management System. Teacher's Profile courseProgram 1) General principles: definition of quality; approaches to quality; management models: TQM, ISO 9000, EFQM (Prof. Ruggieri 6h; Prof.ssa Silvestri 6h)). 2) Principles of quality management: quality and business strategy; process management; role of top management; leadership; relationship with customers and customer satisfaction; relationship with suppliers; human resources management; just in time; data analysis and management; statistical tools; continuous improvement; principles of performance measurement (Prof. Ruggieri 6h; Prof.ssa Silvestri 6h)); 3) Quality certification: definition of certification; standardization and accreditation; quality systems; ISO 9001 standard; terminology and concepts; certification purpose; certification process; requirements of the ISO 9001 standard; audits; corrective actions; professional figures; environmental certification; the security; ethical certification and social report; ; the integrated quality-environment system (Prof. Ruggieri 6h; Prof.ssa Silvestri 6h). 4) Quality certification methodologies and techniques: the application of the ISO 9001 standard; the implementation of a quality system; the legislation for quality audit; audit techniques; the management of non-conformities; the evaluation of quality management systems; the training and certification of quality auditors, statistical and managerial tools for quality (Prof. Ruggieri 6h; prof. Silvestri 6h). examMode The oral exam will contain a series of questions aimed at ascertaining both theoretical and practical knowledge of the theories and models illustrated and explained in class. The written test aims to verify the practical knowledge of the statistical tools explained in class, as well as the evaluation and management criteria of non-conformities. The project work of attending students aims to ascertain the real understanding of a quality system implemented in a real company. books Iso 9001:2015 standard and slides provided by the Teachers mode The course includes lectures, case studies and seminars classRoomMode Attendance to the course is optional bibliography Iso 9001:2015 standard and slides provided by the Teachers Teacher's Profile courseProgram The course studies the principles of quality. In particular, the course studies the evolution of the concept of quality which has gone from a technical approach to a management approach, based on the customer. The course also provides knowledge about the different models of excellence: ISO and TQM. SYNTHESIS OF TOPICS 1) General principles: definition of quality; approaches to quality; management models: TQM, ISO 9000, EFQM (Prof. Ruggieri 6h; Prof.ssa Silvestri 6h)). 2) Principles of quality management: quality and business strategy; process management; role of top management; leadership; relationship with customers and customer satisfaction; relationship with suppliers; human resources management; just in time; data analysis and management; statistical tools; continuous improvement; principles of performance measurement (Prof. Ruggieri 6h; Prof.ssa Silvestri 6h)); 3) Quality certification: definition of certification; standardization and accreditation; quality systems; ISO 9001 standard; terminology and concepts; certification purpose; certification process; requirements of the ISO 9001 standard; audits; corrective actions; professional figures; environmental certification; the security; ethical certification and social report; ; the integrated quality-environment system (Prof. Ruggieri 6h; Prof.ssa Silvestri 6h). 4) Quality certification methodologies and techniques: the application of the ISO 9001 standard; the implementation of a quality system; the legislation for quality audit; audit techniques; the management of non-conformities; the evaluation of quality management systems; the training and certification of quality auditors, statistical and managerial tools for quality (Prof. Ruggieri 6h; prof. Silvestri 6h). examMode The oral exam will contain a series of questions aimed at ascertaining both theoretical and practical knowledge of the theories and models illustrated and explained in class. The written test aims to verify the practical knowledge of the statistical tools explained in class, as well as the evaluation and management criteria of non-conformities. The project work of attending students aims to ascertain the real understanding of a quality system implemented in a real company. books Iso 9001:2015 standard and slides provided by the Teachers classRoomMode Attendance is not mandatory to pass the exam but is required if you want to participate in the projects.
13899 - OPTIONAL SUBJECT	First Semester	8
119035 - PROFESSIONAL ACTIVITY	First Semester	4
120409 - DIGITAL SKILLS LAB: DATA ANALYTICS WITH R FILIPPO BIANCHINIFILIPPO BIANCHINI	First Semester	4	ING-INF/05		Learning objectives "The course introduces students tho the fundamentals of R language and of the data analysis environments for R. The laboratory is designed for students who have no, or limited, previous knowledge on R. During the laboratory the students will familiarise with the basic features of the R language, the R and RStudio working environment, and the basic operations for data management and manipulation. Knowledge and understanding Know the capabilities and the potential application domains of R Know how to use R together with other data analysis software (Excel and Stata) for data import and export Know the basic data objects managed by R and be able to manipulate them Be able to perform basic math and logical operations on data in R, basic data manipulation activities, and basic descriptive statistics analysis Know how to graphically represent data in R Applying knowledge and understanding Be able to recognise the application domain of the features of R Starting from a dataset, be able to identify the possible analysis and data manipulation that can be performed on it Making judgements Be able to interpret the results of the main data manipulation and analysis activities Be able to interpret the meaning of error messages provided by the R environment and be able to fix the problems autonomously Communication skills Be able to present data in the form of reports or presentations automatically generated by R scripts combining textual descriptive parts, data tables, charts, and results of data analysis Learning skills Be able to learn in an autonomous and self-managed way Teacher's Profile courseProgram -Course introduction and lesson organization (learning objectives, course structure, schedule, teaching approach, and exam criteria); -Introduction to statistics and core concepts (population and sample, statistical units, categories/variables, significance), descriptive statistics and frequency distributions (absolute/relative/cumulative frequencies, percentages, class width, density); -Basic computing concepts for data analysis (fundamental calculation logic, handling files and digital data); -Introduction to R and RStudio (installation, interface: console and script editor, essential commands, data types, variable assignment, print function); -Basic programming in R (arithmetic and logical operations, AND/OR operators, data type checking with class/mode/str); -Data structures in R: vectors and factors (creation, editing, indexing, subset extraction, generation with seq and rep, ordering and category management); -Data structures in R: dataframes, matrices, and lists (creation and editing, differences among structures, main manipulation functions); -Package management in R (installing, loading, and using libraries to extend R); -Loading and building datasets in R (importing CSV/TXT files, dataset concept, rows and columns, core exploration functions); -Data exploration, filtering, and cleaning (subset selection, adding rows/columns, handling missing values NA); -Data aggregation and integration (using aggregate() and tapply(), introduction to merging datasets, writing/exporting results); -Data visualization in R (basic plots, frequency distributions and histograms, graphical representations for descriptive analysis). examMode The student’s knowledge will be assessed through two methods: 1) Written exam: multiple-choice questions covering the theoretical part and fundamental concepts of R. There will be a total of 10 questions. Each correct answer is worth 1 point, while incorrect or unanswered questions receive 0 points. 2) Practical project: the student must submit a project that includes both descriptive and inferential analysis of a dataset. This project should be presented in a brief report, showcasing and commenting on the results obtained and the R functions used. The practical project will be evaluated according to the following criteria, each graded from 1 to 5: -Accuracy of results -Accuracy of code -Clarity of writing -Completeness The student will pass the course if they score at least 6/10 on the written exam and a minimum of 12/20 on the practical project. books The slides and materials provided during the lectures will be more than sufficient for completing the course. classRoomMode Students can attend either synchronously, (preferably) in person or online, or asynchronously through the recorded sessions. Teacher's Profile
13880 - STATISTICS IN MARKET RESEARCHS TIZIANA LAURETI	Second Semester	8	SECS-S/03		Learning objectives 1) The objective is to provide the student with theoretical knowledge of statistics applied to business decisions and market research. The fundamental concepts of statistics will be recalled (e.g. descriptive statistics, regression, inference), which will be complemented by multivariate statistical techniques, i.e. data analysis that takes into account multiple variables at the same time (e.g. estimation of utility, or willingness to pay, shadow prices, etc.). Particular emphasis will also be given to graphical analysis and data visualization. 2) Starting from the theoretical knowledge acquired, the student will be asked to apply what he has learned in the analysis of real or simulated data sets. Particular emphasis is placed on comparing the methods that can be used to respond to the same data analysis objective in order to identify the most appropriate one. To this end, the student will be asked to master the R programming software at a basic/intermediate level. 3) On the basis of what has been learned in the theory and verified in its application, the student will have to formulate a judgment on the quality of the data analysis carried out, particular emphasis is placed on highlighting the limits of the data analysis carried out and its critical issues, always keeping in mind that the data analysis objective set has actually been achieved (if possible). Particular attention will be given to the statistical validity of the conclusions drawn on a population starting from a non-probability sample (for example, a survey). 4) The student is asked to communicate what has been learned in theory and discovered empirically through data analysis through an oral presentation of the results. The exposure must first and foremost be effective and communicate directly when discovered through data analysis. Having a limited time available, the student must be able to communicate the main result achieved, eliminating redundancies and superfluous technical information, but always taking care to give the right context. 5) The student's ability to learn is tested by the data analysis itself. The analyzes carried out in class on which the student will have the opportunity to learn the theory and test it will always be analyzes necessarily for educational purposes, for example with data sets already selected ad-hoc and pre-processed. The data analysis on real data to which the student is subjected will necessarily put him in the position of having to apply what he has learned in an innovative way and learn new techniques. In general, the course will provide the student with all the elements necessary to learn new concepts independently" Teacher's Profile courseProgram Missing data and anomalous values Preliminary analysis and data cleaning is essential before proceeding with any statistical analysis. The student will learn the basics to reconstruct missing values and identify anomalous values Choice models Building models that are able to predict a consumer's choice, for example choosing between two brands of products Principal component analysis The objective is to build summary indices that are potentially not directly measurable as customer satisfaction indices Elements of group analysis Having data collected on a certain type of clientele, the student will learn the most common techniques for segmenting them based on the characteristics detected Market basket analysis and association rules Starting from the analysis of transactions in a point of sale (i.e. receipts) or e-commerce site, the student will learn to identify purchasing patterns. For example, which products are sold together more frequently. This type of analysis is historically used in supermarkets for a more accurate display of goods Conjoint Analysis examMode Discussion of a paper prepared by the student on real or simulated data that deals with one or more topics among those presented in class. The paper must be presented during the exam with a presentation in a format at the student's discretion. books STATISTICA PER L'ANALISI DI MERCATO METODI E MODELLI, 2022 Salvatore Ingrassia Francesca Bassi https://he.pearson.it/bundle/515 classRoomMode frequency is not obligatory bibliography Zani, S., & Cerioli, A. (2007). Analisi dei dati e data mining per le decisioni aziendali. Giuffrè editore. Azzalini, A., & Scarpa, B. (2009). Analisi dei dati e data mining. Springer Science & Business Media.
17910 - BEHAVIOURAL ECONOMICS AND CONSUMPTION THEORY LUCA CACCHIARELLI	Second Semester	8	SECS-P/02		Learning objectives The course focuses on topics linked to consume behavior which, in the light of the most recent analysis methodologies, is characterized by poor rationality, errors (bias) and a "heuristic" approach to solving problems. These behaviors together with the close relationship between emotion and purchase decision are used in the marketing sector to increase the purchase of products. 1. KNOWLEDGE AND UNDERSTANDING The course aims to provide basic theoretical and empirical knowledge in order to allow the student to independently understand consumer behavior and marketing strategies. This knowledge will be acquired mainly through lectures, reading targeted texts and participating in in-depth thematic seminars. 2. ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING The student must be able to apply the methodological and theoretical knowledge acquired in the interpretation of consumer behavior. These specific skills will be developed mainly through the study of case studies, the realization of the project work and the debate in the classroom. 3. AUTONOMY OF JUDGMENT The autonomy of judgment will derive from the understanding and knowledge of theoretical and empirical analysis methodologies. This is built through lessons that encourage reasoned discussion and that stimulate confrontation. 4. COMMUNICATION SKILLS The student should acquire the ability to expose and present with mastery of language and adequate analytical skills the problems and topics covered by the course. The realization and presentation of the project work will aim precisely to implement this skill Nessuna propedeuticità. Tuttavia, è necessaria una conoscenza di base sull'analisi microeconomica della teoria neoclassica del consumatore è utile per comprendere le lezioni sul comportamento del consumatore No prerequisites. However, a basic knowledge of microeconomic analysis of neoclassical consumer theory is necessary to understand the lessons on consumer behaviour. Teacher's Profile courseProgram The course is divided into two parts. In the first part, our purpose is to study microeconomic theories related to demand (consumer preferences, revealed preferences and choice under uncertainty) and the most relevant topics of behavioural economics (paradoxes of rational choice theory, probability weighting, loss aversion, behavioural biases). In the second part, the course is devoted to focus on the main psychological models used to analyze consumer decision-making processes. Specifically, the role of cognitive and emotional factors affecting consumer choice. This first part (which takes up 60% of the lessons), also accompanied by the analysis of case studies during the lessons, is aimed at enabling students to acquire both theoretical knowledge and a methodology of analysis preparatory to the realisation of project work. The last part of the course will cover relations between communication and consumer choice, the role of cognitive psychology in unfair trade practises analysis and the psychological bases of the context effects on consumer choice. The last short section of the course will cover the changes in the food consumption, in which consumers look for quality, food safety and environmental protection examMode For attending students: Realisation and presentation of a project work and oral test. The teacher will assign each group a topic for the project work. The students will have to produce a project work and present the results. The oral test will focus on the topics addressed during the course. For non-attending students: Written test and (possibly) oral test to complete the written test. The written test consists of three open questions to be answered in an hour and a half. After the paper has been corrected, the student can decide whether to take the oral test, which will be assessed on completion of the written paper books 1. Varian H. R. (2014). Intermediate Microeconomics (qualsiasi edizione). W. W. Norton & Company. I seguenti capitoli: Budget Constraint (Cap 2), Preferences (Cap 3), Utility (Cap 4), Choice (Capitolo 5 fino all’esempio di perfetti sostituti); Demand (Cap 6); Uncertainty (par. 12.2, 12.3 e 12.4); Consumers’ surplus (cap 14). 2. Guéguen, N. (2009). Psicologia del consumatore, Bologna: Il Mulino, 2010. 3.Bonini N., Del Missier F. & Rumiati R. (2008). Psicologia del giudizio e della decisione, Il Mulino: Bologna. Cap 1, 2, 5 e 8 mode 48 hours The course consists of lectures (36 hours), assignment and how to carry out the group project (2 hours), seminars and discussion on methodologies for estimating consumers' preferences and willingness to pay to be replicated in group work (8 hours), presentation of group work (2 hours) classRoomMode Elective bibliography Tversky and Kahneman “Rational Choice and the framing of decisions” The Journal of Business, vol.59, n.4 pp. 251-278 Plous, S. (1993). The psychology of judgment and decision making. Mcgraw-Hill Book Company.
119050 - WEB MARKETING LABORATORY ELISA IANDIORIO	Second Semester	3	SECS-P/08		Learning objectives This training provides the students all the information and the useful techniques to use the web and the social network in business. The firms, the public institutions and every organism have an urgent need to communicate in a clear and transparent way, not only offering some efficient services, but also a system of relationships that guarantees a full assistance and a complete information framework and perfectly comprehensible by everybody. To this purpose Internet and the web are fundamental channels of communication, in the way they create a direct and immediate dialogue with every consumer. The training, structured in the form of laboratory, illustrates the principal opportunities of communication offered by Internet to the firms. Besides it illustrates and clarifies the methods, the tools and the techniques to communicate on the web correctly exploiting and with the maximum effectiveness the characteristics and the tools for the creation and management of the web sites and the most important social networks. Shortly the lab will allow the student: • to understand the characteristics and the potentialities of the web and the online services; • to update, improve and modernize the communication toward the public; • to actively involve the consumers in the proposal of ideas, projects and activities and in the signalling of demands and suggestions to improve the products and the services; • to increase the clarity, the completeness and the personalization of the messages establishing a more direct and individual relationship with every consumer. Teacher's Profile courseProgram - Web and websites • Marketing Automation: all the useful instruments for an Inbound Marketing Campaign • Google Analytics, SEO and SERP: the useful tools for the analysis, the indexing and the positioning on the main search engines • Writing for the web: the main writing techniques for the web and particularly the differences among writing for a blog, for a website and for the socials - Social Media Marketing: the opportunities for the firms offered by the several available socials, their identification and usage. For each Social Media the characteristics, the functionalities, the peculiarities and the differences will be individualized, in particular: Facebook; Twitter; Instagram; Pinterest; Google+; LinkedIn and YouTube. Finally we will illustrate the software useful to the optimization and the integrated management of the different social channels. examMode The suitability exam will be assessed through group project work carried out in the classroom books Slide Teacher Supplementary text. - "Social Media Manager Profession: Strategies, tactics and tools for social media marketing professionals" Veronica Gentili. Hoelpli - "Inside Digital Marketing: The Manual for becoming digital marketing experts" Claudio Venezia. mode The course will be held in presence. Students will have the opportunity to make the project work in groups classRoomMode Attendance to the course is optional and can take place both face to face and online, if the University guidelines allow to do so bibliography In addition to the above-indicated books, further teaching material can be found on Moodle
GRUPPO OPZIONALE SECS-P/08 24-25	-	-	-	-
COMPORTAMENTO D'ACQUISTO DEL CONSUMATORE MICHELA PICCAROZZI	First Semester	8	SECS-P/08		Learning objectives The course involves the analysis and understanding of the phenomena that regulate and influence consumer behaviour in their purchasing decisions. 1) Knowledge and understanding: to know and understand consumer dynamics, influences and patterns of consumer behaviour and its influence on marketing policies; 2) Applying knowledge and understanding: to practically apply the acquired knowledge to elaborate marketing strategies useful to respond to consumer needs and behaviour; 3) Autonomy of judgement (making judgments): having autonomy of judgement and the ability to independently and originally apply marketing methodologies and tools in directing consumer choices; 4) Communication skills: to be able to communicate the knowledge acquired also through exercises and project work for comparison with other colleagues, to be able to communicate consumer data and interpret them for the marketing function; 5) Learning skills: to learn a method of critical analysis and application of marketing tools to the consumer's decision-making process and its influences to predict and monitor its effect on the company's strategies and results. Teacher's Profile courseProgram The course involves analysing and understanding the phenomena that regulate and influence consumer behaviour in purchasing decisions. 1) Knowledge and understanding: knowing and understanding consumer dynamics, influences and behaviour patterns and their influence on marketing policies; 2) Applying knowledge and understanding: applying the knowledge acquired in practice to develop marketing strategies that respond to consumer needs and behaviour; 3) Making judgements: exercising independent judgement and applying marketing methodologies and tools in an independent and original manner to guide consumer choices; 4) Communication skills: knowing how to communicate the knowledge acquired, including through exercises and project work involving discussion with other colleagues, knowing how to communicate consumer data and interpret it for marketing purposes; 5) Learning skills: learning a method of critical analysis and application of marketing tools to the consumer's decision-making process and its influences in order to predict and monitor its effect on business strategies and results. Programme: Introduction to the course - The consumer Purchases and consumption: introduction to consumer behaviour analysis + Macroenvironment and Microenvironment The consumer as decision maker Perception in consumption processes Learning processes and behaviour Neuromarketing Identity construction and brand communication Consumer attitudes Consumers and prices Consumers and retail distribution Consumers and advertising examMode The final exam is written and will contain three questions designed to assess the student's theoretical knowledge of the purchasing process and consumer behaviour in relation to the course programme. The three questions will be open-ended, allowing students to demonstrate their extensive knowledge of the topics covered, including examples and practical applications. Project work carried out in class by students will be assessed and added to the exam mark. books Textbook: Introduction: • Peter J.P., Donelly J., Pratesi C.A. (2024) Marketing, 8th Edition McGrawHill (limited to Chapter 2). • D. Dalli, S. Romani, 2016, Consumer Behaviour. Purchasing and Consumption from a Marketing Perspective, New Edition, Franco Angeli (limited to Chapters 1, 8 and 9). Part I: • Nadia Olivero, Vincenzo Russo (2022) PSICOLOGIA DEI CONSUMI 3/ED – McGraw Hill https://www.mheducation.it/psicologia-dei-consumi-3-ed-9788838654817-italy#tab-label-product-description-title (Chapters 1-8) Part II: • East, Wright, Vanhuele (2009) Consumer Behaviour - Applications for MKT - Maggioli Editore (Chapters 9, 10 and 12) classRoomMode Attendance is not mandatory. bibliography Per approfondimenti: Petruzzellis, L., & Chebat, J. C. (2010). Comportamento del consumatore. Teoria e casi di studio. Pearson Education.
120410 - PROFESSIONAL ENGLISH FOR MARKETING AND BUSINESS FELICETTA RIPA	Second Semester	4	L-LIN/12		Learning objectives This course aims to prepare to know and use the English language with the aim of progressively achieving a level B eligibility. The comprehension and expression of oral language is privileged, without neglecting the linguistic competence required for a clear and correct written expression. For this purpose, the adopted text allows students to personalize what is highlighted in the classroom through further revision and self-learning systems. The technical linguistic area of exercise will concern marketing and administration, with appropriate formal lexical insights and drafting of special glossaries useful to the profession. Presentations of scientific topics, conversations, debates, analysis of experiences and personal research: all this converges to form and stimulate creative skills, inspired by the most current issues. Teacher's Profile courseProgram Introducing Your Company Professional Interaction Business Socialising Professional Communication Finance and Banking Basics Comparing and Suggesting Meetings & Presentations Time, Work & Productivity Startups & Business Success Workplace Psychology Modern Work Trends Business Reports Final Simulation & Assessment examMode Assessment will be structured as a combination of continuous assessment, a group project, and a final simulation in order to evaluate students’ written and oral communication skills in professional contexts in a balanced way. The evaluation will take into account the clarity of the presentation, the appropriate use of professional language, and the ability to respond to questions. In this way, it will be possible to assess not only linguistic accuracy but also students’ interaction skills, problem-solving abilities, and their capacity to communicate effectively in professional environments. books The course does not adopt a specific reference textbook. Teaching materials will be selected by the instructor according to the learning objectives and topics addressed during the course and will include articles, authentic business-related materials, and multimedia resources aimed at developing language skills in real professional contexts. Teaching activities will also be supported by the use of interactive digital platforms, including Wooclap, in order to encourage active student participation, stimulate discussion, and support collaborative learning dynamics during the lessons. classRoomMode Attendance is not mandatory but recommended. bibliography Cotton, D., Falvey, D., Kent, S. (2020). Market Leader. Intermediate / Upper Intermediate. Pearson Education. Buller, R. (2024). Real Business English B2. Ernst Klett. Mascull, B. (2017). Business Vocabulary in Use: Intermediate. Cambridge University Press.

SUBJECT	SEMESTER	CFU	SSD	LANGUAGE
GRUPPO OPZIONALE SECS-P/08 24-25	-	-	-	-
MARKETING AND BIG DATA ANALYTICS MICHELA PICCAROZZI	Second Semester	8	SECS-P/08		Learning objectives The course of Marketing & Big Data Analytics aims to make students understand how Marketing is a field in which data and data analytics play a critical role. Market and customer insights provide recommendations for marketing decision-makers, and they must be handled regularly due to the dynamism of today’s market climate. As part of their marketing plan, organizations and decision-makers must consider data generated by customers and markets. For marketing decision-making, data must be used as a critical component of the marketing strategy. Organizations are now applying big data analytics to understand their customers better and achieve optimum customer engagement. Big data are, however, not a solution but just raw material. The challenge remains to transform the data into knowledge that managers can use to solve challenges and achieve improved performance. Teacher's Profile courseProgram The programme includes a first part of study and an in-depth examination of marketing preparatory to the introduction of data analysis and then Big Data. In the second part, the focus will be on the characteristics of Big Data, its analysis, representation and use in marketing strategies. Finally, the third part of the course involves the application of the knowledge acquired through the development of a project work and seminars with company managers ENG The course covers the study of the marketing management process and the analysis of the role, importance and analysis of Big Data for setting marketing strategies. 1) Knowledge and understanding: to know and understand marketing, data analysis and in particular the role of Big Data in decision-making processes; 2) Applying knowledge and understanding: practically apply the knowledge acquired in data analysis and Big Data to elaborate marketing strategies useful to respond to consumer needs; 3) Making judgments: having autonomy of judgement and ability to apply in an independent and original way methodologies and tools of data analysis in directing business choices; 4) Communication skills: to be able to communicate the knowledge acquired also through exercises and project work for comparison with other colleagues, to be able to communicate company data and interpret them for the marketing function; 5) Learning skills: to learn a method of critical analysis and application of data and their analysis to the decision-making process in order to predict and monitor their effect on company strategies and results. examMode Examination for attending students Students who have attended the majority of the course lectures may complete a project as their final assessment, which will be started and assessed during the last four lectures of the course and presented in class. Examination for non-attending students Non-attending students will take a written examination consisting of ten multiple-choice questions and two open-ended questions. books First part: • Kotler/Armstrong - Principles of Marketing (17 o 18 edizione - disponibile free online) https://opac.atmaluhur.ac.id/uploaded_files/temporary/DigitalCollection/ODljY2E4ODIyODViZjFkODgzNDUxYWZlNWFhZmY2MGE5MDc0ZDVmYw==.pdf Second Part: • Chaudhary, K., & Alam, M. (2022). Big data analytics: applications in business and marketing. Auerbach Publications. • Other material provided by the teacher and uploaded to the Moodle platform • Lecture slides classRoomMode Attendance is not mandatory. bibliography Kotler/Armstrong - Principles of Marketing (edition 17 or 18) Chaudhary, K., & Alam, M. (2022). Big data analytics: applications in business and marketing. Auerbach Publications.
GRUPPO OZPIONALE SECS-P/13	-	-	-	-
SUSTAINABILITY AND CIRCULAR ECONOMY CECILIA SILVESTRI	Second Semester	8	SECS-P/13		Learning objectives The learning objective of the course is to transfer, to the students, the knowledge on the principles, concepts and tools for managing sustainability and the environment. Within the course, topics related to the management of the new circular paradigm are widely disseminated, with attention to resources, product / process, business models, and consumer behavior, together with other enabling factors, such as policies, role of technology, and stimulus tools. Therefore, the expected learning outcomes are the following: Knowledge and understanding: The student will have acquired the knowledge and the ability to understand the reference framework for sustainable development and the Circular economy and the tools for managing environmental sustainability. Application of knowledge The student will be able to face the most recurring problems regarding sustainability and the Circular economy and understand the main organizational aspects and to identify the critical context variables. Ability to draw conclusions The student will be able to evaluate the circular contexts and the applicability of the Circular Economy models Communication skills The student will have acquired an appropriate language to express in a clear and correct way what he has learned from the study of the topics addressed. Ability to learn The student will be able to adequately use the acquired knowledge, methodologies and tools necessary for correct environmental management. Teacher's Profile courseProgram The course aims to transfer the knowledge of principles, concepts and tools for managing sustainability. 1. Sustainability in the international context: principles and policies. 2. The role of the European Union in managing sustainability: Environmental Action Programs, the emissions trading system, the European Green Deal and the New Action Plan for the Circular Economy. 3. The Circular Economy: principles, key success factors and Circular Business models and flows. 4. Framework and guidance for organizations to implement the principles of the circular economy: BS 8001 5. The tools for managing sustainability: evolution and application of the EMAS regulation, the ISO 14001 standard, environmental labels, Certified B Corporations. The Audit. 6. Case studies and practical applications: during the course can be organized seminars, guided tours, participation in conferences, study days or practical exercises. examMode The assessment test for NON-attending students is written and will contain three open-ended questions designed to ascertain the student's theoretical knowledge of the theories related to the customer Satisfiction model (gap and disconfirmation model), customer loyalty model (dynamic model) and strategic CRM presented in class. The time available for conducting the test is 1h. The objective of the oral test is to check the learning of the concepts explained in the classroom and the ability to understand the best strategies to implement to develop a relationship with potential customers. Each question is assigned a maximum score of 10 points for a total of 30 points. The assessment test for those attending is written and will contain three open-ended questions designed to ascertain the student's theoretical knowledge of the theories related to the customer Satisfiction model (gap and disconfirmation model), customer loyalty (dynamic model) and strategic CRM presented in class. The time available for the performance of the test is 1h. The objective of the test is to check the learning of the concepts explained in the classroom and the ability to understand the best strategies to implement to develop a relationship with potential customers. Each question is assigned a maximum score of 10 points for a total of 30 points. However, attending students have the option of developing a project work, the grade of which will supplement the written paper grade. The project work is intended to test learning in practical terms of the concepts explained in the classroom. The maximum grade for the project work is 5 points. books Slide of professor classRoomMode Attendance is not mandatory to pass the exam but is required if you want to participate in the projects. bibliography Slide of professor
CUSTOMERS RELATIONSHIP MANAGEMENT AND QUALITY CECILIA SILVESTRI	Second Semester	8	SECS-P/13		Learning objectives Learning objectives The course studies (1) consumer behavior, (2) consumer decision process, (3) customer satisfaction, (4) and customer loyalty (5) perceived quality. The understanding of these dimensions is important and useful for enterprises and institutions which operate in the market. The course studies also : (1) CRM, (2) Customer experience and (3) manage networks to improve customer relationship management performance. Synthesis of the course 1. Relationship between quality / customer satisfcation / loyalty and analysis of consumer behavior: Expected Quality and perceived quality: ISO 9001 and customer, customer satisfaction and customer loyalty; Consumer behavior different approaches; Quality and customer satisfaction in the services - Servqual; Dynamic Model of Customer Loyalty 2. Tools for measuring quality, satisfaction, loyalty and analysis tools in consumers' behavior: Tools Quantitative / Qualitative; the questionnaire, the focus groups; Regression models; correlation; Cluster Analysis, AID, QFD 1) Knowledge and understanding skills. Understand the quality factors which influence consumer behavior and contribute to their satisfaction. 2) Ability to apply knowledge and understanding. Learning the basic tools, both quantitative and qualitative, necessary for customer satisfaction / customer loyalty analysis. 3) Autonomy of judgment. Know how identify the key quality factors which influence consumer behavior, their satisfaction, and know how to implement this factors in all firms, both product and service sectors. 4) Communication Skills. Ability to transfer data obtained from the application of measurement tools to reports. 5) Learning Skills. Ability to know how to analyze the data obtained from both the relevant studies and the practical application of measuring tools, and transfer the results in strategic planning for the firms. Teacher's Profile courseProgram Learning objectives The course studies (1) consumer behavior, (2) consumer decision process, (3) customer satisfaction, (4) and customer loyalty (5) perceived quality. The understanding of these dimensions is important and useful for enterprises and institutions which operate in the market. The course studies also : (1) CRM, (2) Customer experience and (3) manage networks to improve customer relationship management performance. Synthesis of the course 1. Relationship between quality / customer satisfcation / loyalty and analysis of consumer behavior: Expected Quality and perceived quality: ISO 9001 and customer, customer satisfaction and customer loyalty; Consumer behavior different approaches; Quality and customer satisfaction in the services - Servqual; Dynamic Model of Customer Loyalty 2. Tools for measuring quality, satisfaction, loyalty and analysis tools in consumers' behavior: Tools Quantitative / Qualitative; the questionnaire, the focus groups; Regression models; correlation; Cluster Analysis, AID, QFD 1) Knowledge and understanding skills. Understand the quality factors which influence consumer behavior and contribute to their satisfaction. 2) Ability to apply knowledge and understanding. Learning the basic tools, both quantitative and qualitative, necessary for customer satisfaction / customer loyalty analysis. 3) Autonomy of judgment. Know how identify the key quality factors which influence consumer behavior, their satisfaction, and know how to implement this factors in all firms, both product and service sectors. 4) Communication Skills. Ability to transfer data obtained from the application of measurement tools to reports. 5) Learning Skills. Ability to know how to analyze the data obtained from both the relevant studies and the practical application of measuring tools, and transfer the results in strategic planning for the firms. examMode The assessment test for NON-attending students is written and will contain three open-ended questions designed to ascertain the student's theoretical knowledge of the theories related to the customer Satisfiction model (gap and disconfirmation model), customer loyalty model (dynamic model) and strategic CRM presented in class. The time available for conducting the test is 1h. The objective of the oral test is to check the learning of the concepts explained in the classroom and the ability to understand the best strategies to implement to develop a relationship with potential customers. Each question is assigned a maximum score of 10 points for a total of 30 points. The assessment test for those attending is written and will contain three open-ended questions designed to ascertain the student's theoretical knowledge of the theories related to the customer Satisfiction model (gap and disconfirmation model), customer loyalty (dynamic model) and strategic CRM presented in class. The time available for the performance of the test is 1h. The objective of the test is to check the learning of the concepts explained in the classroom and the ability to understand the best strategies to implement to develop a relationship with potential customers. Each question is assigned a maximum score of 10 points for a total of 30 points. However, attending students have the option of developing a project work, the grade of which will supplement the written paper grade. The project work is intended to test learning in practical terms of the concepts explained in the classroom. The maximum grade for the project work is 5 points. books Buttle, F. (2012) Customer relationship management. Teorie e tecnologie. FrancoAngeli Slide del docente. classRoomMode Attendance is not mandatory to pass the exam but is required if you want to participate in the projects. bibliography Buttle, F. (2012) Customer relationship management. Teorie e tecnologie. FrancoAngeli Slide del docente.
118636 - INDUSTRIAL AND NETWORK ECONOMICS LUCA CORREANI	First Semester	8	SECS-P/06		Learning objectives knowledge and understanding: Industrial organization is concerned with the workings of markets and industries, in particular the way firms compete with each other. Interactions between firms strategies and pubic policy (antitrust) are also analysed. Applying knowledge and understanding: The aim of this course is to provide students the ability to manage simple mathematical models about firm's strategic behavior. Making Judgements: Students will be able to analyse markets in an autonomous and critical way. Communication skills: Students will be able to represents formally and with mathematical rigor real strategic contexts Learning skills: At the end of the course, students will be able to develop simple games to study markets and the strategic behavior of firms Teacher's Profile courseProgram Elements of microeconomics: firms and consumers, profit maximisation, utility maximisation Perfect competition, monopoly, monopolistic competition Market power Game theory Static games with complete information Dynamic games with complete information Oligopolistic competition Cournot Bertrand Stackelberg Hotelling Salop Firm's strategic behaviour Pricing and market segmentation Product differentiation Advertising Collusion Vertically related markets and vertical restraints Mergers Entry and exit Technological innovation R&D spillovers, absorptive capacity Oligopoly and R\&D Networks Industrial policy: Regulation, antitrust and privatization examMode The written test consists of a minimum of three questions (theory and exercises). During the course we will carry out simulations of the exam. The oral test is optional. books Main text Industrial economics: 1. - Cabral L. (2018) Economia Industriale. Carocci editore. 2. - Belleflamme P., Peitz M. (2015) Industrial Organization: Markets and Strategies. Cambridge University Press. From text 1. the main topics of the course are studied. The more technical text 2. delves into the main mathematical models Game Theory: - Robert Gibbons (2005) Teoria dei giochi. Il Mulino Other useful reference texts: - Motta M., Polo M. (2005) Antitrust: politiche per la concorrenza. Il Mulino mode Lectures. Exercises are carried out during the lectures classRoomMode Lectures will be face-to-face. It will be possible to follow the lectures via streaming but the lectures will not be recorded bibliography Main text Industrial economics: 1. - Cabral L. (2018) Economia Industriale. Carocci editore. 2. - Belleflamme P., Peitz M. (2015) Industrial Organization: Markets and Strategies. Cambridge University Press. From text 1. the main topics of the course are studied. The more technical text 2. delves into the main mathematical models Game Theory: - Robert Gibbons (2005) Teoria dei giochi. Il Mulino Other useful reference texts: - Motta M., Polo M. (2005) Antitrust: politiche per la concorrenza. Il Mulino
GRUPPO OPZIONALE AFFINI 24-25	-	-	-	-
MANAGEMENT OF INFORMATION SYSTEMS MARCO SMACCHIA	Second Semester	8	SECS-P/10		Learning objectives "he course addresses the topic of digital transformation of organisations, and the consequent impacts on the way modern organisations work and operate. The course invites students to reflect on the changes, opportunities, risks, and consequences on the use of digital technologies in organisational design and change processes, and on the implications for organisational decision making and operational processes. The course aims at transferring to the students theoretical knowledge and practical skills on the role of digital technologies in organisations, and on the competences and the processes necessary by individuals and organisations to govern this process. During the course the students will be engaged in learning activities, both theoretical and practical ones, as individuals and in groups. The participation to the course will stimulate in students the development of the following capabilities. Knowledge and comprehension Understand the nature and impact of organisational change produced by the introduction of digital technologies in individual and groups behaviour. Know the main information systems used in organisations. Know the tools to analyse processes and guide the transformation processes through digital technologies. Know the tools and the processes for analysing the information needs and for the design of or data analysis and presentation. Applied knowledge Being able to identify potential areas of application of digital technologies to solve organisational problems. Being able to understand and govern the analysis of business processes and their re-engineering in the digital transformation. Know how to identify and analyse the information needs of an organisation and how to design data analytics tools to satisfy such needs. Know how to manage a digital transformation process through planning activities and estimating the effort, and know how to control the process using project management tools and techniques Judgement capabilities Know the main variables influencing the digital transformation process, know how to analyse them, and be able to judge if and when digital technologies can be used for organisational innovation and change. Communication capabilities During the course the students will practice the capabilities of presenting and discussing their ideas on the role of digital technologies in the transformation process of organisations. Know how to learn Being able to learn in an autonomous and self-management way. Teacher's Profile courseProgram The course program is structured into two parts: a theoretical part and an applied/practical part. Theoretical Part In the theoretical part, students will explore the topic of digital transformation, the main theoretical perspectives used to study related phenomena, and its impact on organizations. The course examines the key changes introduced by the diffusion of digital technologies, current trends, and their expected future developments. It also introduces the main information systems adopted by organizations and their areas of application, as well as tools for planning and managing digital transformation initiatives, analyzing and reengineering processes for digitalization, and assessing organizational information needs. The theoretical topics covered in the course include: • The digital transformation process: changes and trends • Theoretical perspectives on digital transformation: socio-technical systems theory, structuration theory, affordances, and sociomateriality • Core enterprise information systems: ERP, CRM, KMS, DSS • Business intelligence and data mining: big data, data warehouses, and artificial intelligence • Cloud computing, privacy, and cybersecurity • Management of digital transformation projects • Process analysis and reengineering Applied / Practical Part The applied part of the course is designed to develop practical skills for understanding, designing, and managing digital transformation processes in organizations. Practical activities focus on three main areas: Digital innovation project management: defining project objectives, identifying required resources, and planning and managing projects using work breakdown structures, RACI matrices, PERT, critical path analysis, and Gantt charts. Digital transformation of processes: mapping and analyzing business and inter-organizational processes, process modeling and analysis using Business Process Modeling Notation (BPMN). Business intelligence tools: analysis of organizational information needs, mapping data sources to information requirements, and design and development of interactive data dashboards, shared via the web using Microsoft Power BI. examMode The assessment aims to verify students’ understanding of the core theoretical concepts of the course, with particular reference to information systems and their application in organizational contexts, process modeling, and project planning. For attending students, the assessment is based on a group project and an oral examination. The oral examination consists of three questions focusing on the application of process analysis and modeling techniques and on the theoretical concepts of digital transformation. For non-attending students, the assessment consists of an oral examination with five questions covering all theoretical topics of the course, as well as project management and process modeling tools and techniques. books To study for the exam students must refer to: - Management of Information Systems - Course slides written by the teacher - Piccoli, G., & Pigni, F. (2016). Information Systems for Managers with Cases Slides and cases used by the professor during classes are available on the http://moodle.unitus.it e-learning platform classRoomMode The course adopts a teaching methodology aimed at fostering active student participation. Students will work in groups on a project focused on process analysis, analysis of information needs supporting decision-making processes, and the design and development of interactive dashboards for data analysis. The project work will be carried out in parallel with the lectures, and the final deliverable will be subject to evaluation. Non-attending students are not required to complete the group project. During the course, the instructor may provide teaching materials and bibliographic references, including handouts, textbooks, and online resources.
119057 - THESIS	Second Semester	9
119230 - ENTERPRISE COMPETITION AND MARKET PRISCILLA PETTITI	Second Semester	8	IUS/04		Learning objectives Knowledge and Understanding: Students will gain a thorough understanding of industrial law, with a focus on antitrust regulations, competition, distinctive signs, misleading advertising, and consumer protection. Applied Knowledge and Understanding: Students will be able to apply the learned regulations to analyze and resolve practical cases related to competition, distinctive sign protection, and consumer rights. Autonomy in Judgment: The course fosters autonomy in judgment, enabling students to critically evaluate market situations and make informed decisions in complex competition and consumer protection contexts. Communication Skills: Students will develop the ability to clearly and effectively communicate complex legal issues concerning competition, advertising, and consumer protection. Learning Ability: Students will acquire skills for continuous learning, essential for staying updated on developments in industrial and antitrust regulations. Teacher's Profile courseProgram The course will deal with the issues of the entrepreneur and the entrepreneur's statute with particular reference to competition (antitrust and unfair competition), distinctive signs, consumer protection issues, industrial inventions and coy rights. examMode The students will be presented with some Judicial Cases which we will discuss together. Finally, an oral exam will take place on the entire program/items discussed. books Ferri, Manuale di diritto commerciale, Torino, 2023 Judicial Cases submitted in class classRoomMode Attendance is considered appropriate/necessary, particularly given the necessary presentation of practical cases.
GRUPPO OPZIONALE AFFINI 24-25	-	-	-	-
PRODUCT INNOVATION AND CERTIFICATION ALESSANDRO RUGGIERI	Second Semester	8	SECS-P/13		Learning objectives "Expected learning outcomes 1) Knowledge and understanding. Knowing the impact of innovation on production processes and new technologies 2) Ability to apply knowledge and understanding. Learning of the necessary tools to correctly and efficiently implement the innovation tools in the production chains in the light of new technologies. 3) Autonomy of judgment. Knowing how to identify what new technologies are and what are the effects of innovation in processes, especially production ones. 4) Communication skills. Ability to transfer the acquired knowledge 5) Learning skills. Ability to be able to analyze the effects of innovation and define strategic actions." Teacher's Profile courseProgram 1. Technological innovation: process and product innovation; the concept of 'innovative product'; sources of innovation; the matching between research and innovation; startups and spinoffs. (6h) 2. Types of process and product: intermediate and final products; consumer products and industrial products; machinery and equipment; the international context; production chains: plastics; chemical industry; pharmaceutical; fashion system (clothing, textile industry, footwear), steel products; mechanical Engineering; automotive sector; agri-food; digital industry and consumer electronics. (6h) 3. Impact of innovation on products and processes: digitization and automation (industry 4.0); new factory and production models; 'digital' products; new materials: green chemistry materials, bioplastics and biosensors; biotechnology; use of innovative processes and materials for 'traditional' products; (6h) 4. Product certification: types of certification; product certification; environmental product certification; the CE marking; supply chain production regulations; sector and supply chain certifications; the international framework; certification and export of products to non-EU markets; (6h) examMode The oral exam consists in verifying the learning of the concepts and principles of quality-oriented management models. For attending students there is also a project work aimed at deepening a case study of a company and analyzing the effects of innovation on products / production processes The oral exam will contain a series of questions aimed at ascertaining both theoretical and practical knowledge of the theories and models illustrated and explained in class. The project work of attending students aims to ascertain the real understanding of innovation in products / processes. books Iso 9001:2015 standard and slides provided by the Teachers mode Frontal lessons and seminars classRoomMode Course attendance is optional bibliography Iso 9001:2015 standard and slides provided by the Teachers Teacher's Profile courseProgram 1. Technological innovation: process and product innovation; the concept of ‘innovative product’; sources of innovation; matching research and innovation; start-ups and spinoffs 2. Process and product types; intermediate and final products; consumer and industrial products; machinery and equipment; the international context; production chains; plastics; chemical industry; pharmaceuticals; fashion system; steel products; mechanical industry; automotive; agri-food industry; digital industry and consumer electronics 3. Impact of innovation on products and processes: digitalisation and automation (Industry 4.0); new factory and production models; ‘digital’ products; new materials: green chemistry materials, bioplastics and biosensors; biotechnologies; use of innovative processes and materials for ‘traditional’ products. 4. Product certification: types of certification; product certification; environmental product certification; CE marking; supply chain production specifications; the international framework; certification and export of products to non-EU markets examMode The oral test consists of verifying learning of the concepts and principles of quality-oriented management models. For the attending students, a project work is then foreseen to deepen a case study of a company and the analysis of the effects of innovation on products/production processes. The oral test will contain a series of questions aimed at ascertaining both theoretical and practical knowledge of the theories and models illustrated and explained in class. The project work of the attending students aims to ascertain the real understanding of innovation in products/processes. books ISO 9001:2015 standard and slides provided by the teacher classRoomMode Course attendance is optional bibliography ISO 9001:2015 standard and slides provided by the teacher
ECONOMICS AND MARKETING OF AGRI-FOOD PRODUCTS SILVIO FRANCO	Second Semester	8	AGR/01		Learning objectives The course aims to provide the theoretical and methodological tools: (i) to understand the structure of the economic system, with particular reference to the agri-food sector; (ii) to identify the characteristics of the production and consumption processes of agri-food products and their implications on the environmental and social dimension; (iii) to analyse the determinants of food consumers' choices and how these choices can drive the marketing strategies. Teacher's Profile courseProgram Part 1 - The paradigm 1.1 - Introduction to the course 1.2 - Environment and society in the history of economic thought 1.3 - Relations between environment and economy 1.4 - Discussion on the topics Part 2 - Economic processes: the case of the agri-food sector 2.1 - The nature of the economic process and its environmental and social implications 2.2 - The structure of agri-food production processes 2.3 - The structure of food consumption processes 2.4 - Discussion on the topics Part 3 - Sustainability in the agri-food sector 3.1 - The concepts of weak sustainability and strong sustainability 3.2 - Examples of assessment of the sustainability in the agri-food systems 3.3 - Discussion on the topics Part 4 - Consumers' behaviour and agri-food marketing 4.1 - The decision-making process of the consumer of agri-food products 4.2 - Perception of the quality and value of food 4.3 - The implications on agro-food marketing (evidences and examples) 4.4 - The implications on territorial marketing (evidences and examples) 4.5 - Discussion on the topics examMode The contents of the final exam are defined together with the students during the course books - Silvio Franco, "Appunti dalle Lezioni di Economia e Marketing del Prodotti Agroalimentari", 2019 - Supplementary readings and insights mode The course is based on: lectures organized in seminar form; presentation of case studies; discussions between the teacher and the students classRoomMode The course is not recommended for non-attending students bibliography References suggested in the lectures notes "Appunti dalle Lezioni di Economia e Marketing del Prodotti Agroalimentari"
QUALITY MANAGEMNT IN INDUSTRY 4.0 MARIAGRAZIA PROVENZANO	Second Semester	8	SECS-P/13		Learning objectives "Knowledge and comprehension skills - Know the managerial tools to be applied in a quality management system integrated with I4.0. To know the organization of a quality- and innovation-oriented enterprise. Ability to apply knowledge and understanding - Learning the tools needed to properly and efficiently implement a Quality Management System and the tools of I4.0. Autonomy of judgment - Know how to identify nonconformities in a quality management system and how to identify and apply I4.0 tools Communication skills - Through group activities in the classroom at the end of the teaching, communicative activities capable of presenting and describing changes in the management of a specific organization through the presentation of project work will be refined Learning ability - The various teaching methods used will enable the student to develop a practical approach to implementing I4.0 tools integrated with a quality system. The student will accrue a critical appreciation of his or her understanding of key concepts, theoretical frameworks, and practices through the high level of classroom interactions" Teacher's Profile courseProgram The Quality Management in Industry 4.0 course introduces students to a managerial perspective on quality in digital and complex contexts, integrating the fundamentals of TQM with principles of continuous improvement, data-driven decision-making (even when data is imperfect) and quality management in services and platforms. examMode The course assessment is mainly based on a project work, through which attending students analyse or develop an application of Quality Management principles in the context of Industry 4.0. The project requires the integration of digital tools, continuous improvement methodologies and advanced quality concepts, demonstrating the ability to interpret the transformations introduced by intelligent technologies in production processes. The presentation and discussion of the work constitute the main test for attending students. Non-attending students, on the other hand, are required to take a written test to assess their knowledge of the theoretical content, quality models and technologies typical of Industry 4.0, as well as their ability to apply these concepts to operational situations and critical evaluation. books Teacher's material classRoomMode Attendance at lectures is not compulsory, but it is strongly recommended. The interdisciplinary nature of the course and the practical approach adopted during the sessions make participation a fundamental element in fully acquiring the interpretative tools and skills necessary to pass the exam. The lectures offer opportunities for discussion, analysis of real cases and guided discussions that are difficult to replicate through the study of materials alone.
INNOVATION AND PRODUCTSUSTAINABLE DEVELOPMENT MARIAGRAZIA PROVENZANO	Second Semester	8	SECS-P/13		Learning objectives "The course provides the tools to understand the dynamics of innovation and product certification for the competitiveness of companies, with particular reference to international markets. Expected learning outcomes: Knowledge and understanding: understand the impact of innovation on production processes and new technologies. Ability to apply knowledge and understanding: learn the necessary tools to correctly and efficiently implement innovation tools in production chains in light of new technologies. Autonomy of judgment:bBe able to identify what the new technologies are and what the effects of innovation are in processes, particularly in production. Communication skills: ability to transfer acquired knowledge. Learning ability: ability to analyze the effects of innovation and define strategic actions." Teacher's Profile courseProgram This course examines how firms design and manage innovation under sustainability constraints. It integrates innovation strategy, product/process innovation, technology trajectories, business model design examMode The course assessment is mainly based on a project work, through which attending students develop a proposal for sustainable innovation applied to a product or service, demonstrating their ability to integrate eco-design principles, life cycle analysis and sustainable marketing strategies. The work is presented and discussed, and constitutes the main test for the examination. Non-attending students, on the other hand, are required to take a written exam to test their understanding of the theoretical and regulatory content covered in the course and their ability to apply it critically. books Teacher's material classRoomMode Attendance at lectures is not compulsory, but it is strongly recommended. The interdisciplinary nature of the course and the practical approach adopted during the sessions make participation essential in order to fully acquire the interpretative tools and skills necessary to pass the exam. The lectures offer opportunities for discussion, analysis of real cases and guided debates that are difficult to replicate through the study of materials alone.

SUBJECT	SEMESTER	CFU	SSD	LANGUAGE

Learning objectives

The course involves the analysis and understanding of the phenomena that regulate and influence consumer behaviour in their purchasing decisions.
1) Knowledge and understanding: to know and understand consumer dynamics, influences and patterns of consumer behaviour and its influence on marketing policies;
2) Applying knowledge and understanding: to practically apply the acquired knowledge to elaborate marketing strategies useful to respond to consumer needs and behaviour;
3) Autonomy of judgement (making judgments): having autonomy of judgement and the ability to independently and originally apply marketing methodologies and tools in directing consumer choices;
4) Communication skills: to be able to communicate the knowledge acquired also through exercises and project work for comparison with other colleagues, to be able to communicate consumer data and interpret them for the marketing function;
5) Learning skills: to learn a method of critical analysis and application of marketing tools to the consumer's decision-making process and its influences to predict and monitor its effect on the company's strategies and results.

Teacher's Profile

courseProgram

The course involves analysing and understanding the phenomena that regulate and influence consumer behaviour in purchasing decisions.

1) Knowledge and understanding: knowing and understanding consumer dynamics, influences and behaviour patterns and their influence on marketing policies;
2) Applying knowledge and understanding: applying the knowledge acquired in practice to develop marketing strategies that respond to consumer needs and behaviour;
3) Making judgements: exercising independent judgement and applying marketing methodologies and tools in an independent and original manner to guide consumer choices;
4) Communication skills: knowing how to communicate the knowledge acquired, including through exercises and project work involving discussion with other colleagues, knowing how to communicate consumer data and interpret it for marketing purposes;
5) Learning skills: learning a method of critical analysis and application of marketing tools to the consumer's decision-making process and its influences in order to predict and monitor its effect on business strategies and results.

Programme:
Introduction to the course - The consumer
Purchases and consumption: introduction to consumer behaviour analysis + Macroenvironment and Microenvironment
The consumer as decision maker
Perception in consumption processes
Learning processes and behaviour
Neuromarketing
Identity construction and brand communication
Consumer attitudes
Consumers and prices
Consumers and retail distribution
Consumers and advertising

examMode

The final exam is written and will contain three questions designed to assess the student's theoretical knowledge of the purchasing process and consumer behaviour in relation to the course programme.
The three questions will be open-ended, allowing students to demonstrate their extensive knowledge of the topics covered, including examples and practical applications.
Project work carried out in class by students will be assessed and added to the exam mark.

books

Textbook:
Introduction:
• Peter J.P., Donelly J., Pratesi C.A. (2024) Marketing, 8th Edition McGrawHill (limited to Chapter 2).
• D. Dalli, S. Romani, 2016, Consumer Behaviour. Purchasing and Consumption from a Marketing Perspective, New Edition, Franco Angeli (limited to Chapters 1, 8 and 9).
Part I:
• Nadia Olivero, Vincenzo Russo (2022) PSICOLOGIA DEI CONSUMI 3/ED – McGraw Hill https://www.mheducation.it/psicologia-dei-consumi-3-ed-9788838654817-italy#tab-label-product-description-title (Chapters 1-8)
Part II:
• East, Wright, Vanhuele (2009) Consumer Behaviour - Applications for MKT - Maggioli Editore (Chapters 9, 10 and 12)

classRoomMode

Attendance is not mandatory.

bibliography

Per approfondimenti:
Petruzzellis, L., & Chebat, J. C. (2010). Comportamento del consumatore. Teoria e casi di studio. Pearson Education.

Learning objectives

The course of Marketing & Big Data Analytics aims to make students understand how Marketing is a field in which data and data analytics play a critical role. Market and customer insights provide recommendations for marketing decision-makers, and they must be handled regularly due to the dynamism of today’s market climate. As part of their marketing plan, organizations and decision-makers must consider data generated by customers and markets. For marketing decision-making, data must be used as a critical component of the marketing strategy.
Organizations are now applying big data analytics to understand their customers better and achieve optimum customer engagement. Big data are, however, not a solution but just raw material.
The challenge remains to transform the data into knowledge that managers can use to solve challenges and achieve improved performance.

Teacher's Profile

courseProgram

The programme includes a first part of study and an in-depth examination of marketing preparatory to the introduction of data analysis and then Big Data.
In the second part, the focus will be on the characteristics of Big Data, its analysis, representation and use in marketing strategies.
Finally, the third part of the course involves the application of the knowledge acquired through the development of a project work and seminars with company managers

ENG
The course covers the study of the marketing management process and the analysis of the role, importance and analysis of Big Data for setting marketing strategies.
1) Knowledge and understanding: to know and understand marketing, data analysis and in particular the role of Big Data in decision-making processes;
2) Applying knowledge and understanding: practically apply the knowledge acquired in data analysis and Big Data to elaborate marketing strategies useful to respond to consumer needs;
3) Making judgments: having autonomy of judgement and ability to apply in an independent and original way methodologies and tools of data analysis in directing business choices;
4) Communication skills: to be able to communicate the knowledge acquired also through exercises and project work for comparison with other colleagues, to be able to communicate company data and interpret them for the marketing function;
5) Learning skills: to learn a method of critical analysis and application of data and their analysis to the decision-making process in order to predict and monitor their effect on company strategies and results.

examMode

Examination for attending students
Students who have attended the majority of the course lectures may complete a project as their final assessment, which will be started and assessed during the last four lectures of the course and presented in class.

Examination for non-attending students
Non-attending students will take a written examination consisting of ten multiple-choice questions and two open-ended questions.

books

First part:
• Kotler/Armstrong - Principles of Marketing (17 o 18 edizione - disponibile free online)
https://opac.atmaluhur.ac.id/uploaded_files/temporary/DigitalCollection/ODljY2E4ODIyODViZjFkODgzNDUxYWZlNWFhZmY2MGE5MDc0ZDVmYw==.pdf
Second Part:
• Chaudhary, K., & Alam, M. (2022). Big data analytics: applications in business and marketing. Auerbach Publications.
• Other material provided by the teacher and uploaded to the Moodle platform
• Lecture slides

classRoomMode

Attendance is not mandatory.

bibliography

Kotler/Armstrong - Principles of Marketing (edition 17 or 18)

Chaudhary, K., & Alam, M. (2022). Big data analytics: applications in business and marketing. Auerbach Publications.

Learning objectives

The learning objective of the course is to transfer, to the students, the knowledge on the principles, concepts and tools for managing sustainability and the environment.

Within the course, topics related to the management of the new circular paradigm are widely disseminated, with attention to resources, product / process, business models, and consumer behavior, together with other enabling factors, such as policies, role of technology, and stimulus tools.

Therefore, the expected learning outcomes are the following:

Knowledge and understanding:

The student will have acquired the knowledge and the ability to understand the reference framework for sustainable development and the Circular economy and the tools for managing environmental sustainability.

Application of knowledge

The student will be able to face the most recurring problems regarding sustainability and the Circular economy and understand the main organizational aspects and to identify the critical context variables.

Ability to draw conclusions

The student will be able to evaluate the circular contexts and the applicability of the Circular Economy models

Communication skills

The student will have acquired an appropriate language to express in a clear and correct way what he has learned from the study of the topics addressed.

Ability to learn

The student will be able to adequately use the acquired knowledge, methodologies and tools necessary for correct environmental management.

Teacher's Profile

courseProgram

The course aims to transfer the knowledge of principles, concepts and tools for managing sustainability.
1. Sustainability in the international context: principles and policies.
2. The role of the European Union in managing sustainability: Environmental Action Programs, the emissions trading system, the European Green Deal and the New Action Plan for the Circular Economy.
3. The Circular Economy: principles, key success factors and Circular Business models and flows.
4. Framework and guidance for organizations to implement the principles of the circular economy: BS 8001
5. The tools for managing sustainability: evolution and application of the EMAS regulation, the ISO 14001 standard, environmental labels, Certified B Corporations. The Audit.
6. Case studies and practical applications: during the course can be organized seminars, guided tours, participation in conferences, study days or practical exercises.

examMode

The assessment test for NON-attending students is written and will contain three open-ended questions designed to ascertain the student's theoretical knowledge of the theories related to the customer Satisfiction model (gap and disconfirmation model), customer loyalty model (dynamic model) and strategic CRM presented in class. The time available for conducting the test is 1h.
The objective of the oral test is to check the learning of the concepts explained in the classroom and the ability to understand the best strategies to implement to develop a relationship with potential customers.
Each question is assigned a maximum score of 10 points for a total of 30 points.
The assessment test for those attending is written and will contain three open-ended questions designed to ascertain the student's theoretical knowledge of the theories related to the customer Satisfiction model (gap and disconfirmation model), customer loyalty (dynamic model) and strategic CRM presented in class. The time available for the performance of the test is 1h.
The objective of the test is to check the learning of the concepts explained in the classroom and the ability to understand the best strategies to implement to develop a relationship with potential customers.
Each question is assigned a maximum score of 10 points for a total of 30 points.
However, attending students have the option of developing a project work, the grade of which will supplement the written paper grade. The project work is intended to test learning in practical terms of the concepts explained in the classroom. The maximum grade for the project work is 5 points.

books

Slide of professor

classRoomMode

Attendance is not mandatory to pass the exam but is required if you want to participate in the projects.

bibliography

Slide of professor

Learning objectives

Learning objectives
The course studies (1) consumer behavior, (2) consumer decision process, (3) customer satisfaction, (4) and customer loyalty (5) perceived quality. The understanding of these dimensions is important and useful for enterprises and institutions which operate in the market. The course studies also : (1) CRM, (2) Customer experience and (3) manage networks to improve customer relationship management performance.
Synthesis of the course
1. Relationship between quality / customer satisfcation / loyalty and analysis of consumer behavior: Expected Quality and perceived quality: ISO 9001 and customer, customer satisfaction and customer loyalty; Consumer behavior different approaches; Quality and customer satisfaction in the services - Servqual; Dynamic Model of Customer Loyalty
2. Tools for measuring quality, satisfaction, loyalty and analysis tools in consumers' behavior: Tools Quantitative / Qualitative; the questionnaire, the focus groups; Regression models; correlation; Cluster Analysis, AID, QFD
1) Knowledge and understanding skills.
Understand the quality factors which influence consumer behavior and contribute to their satisfaction.
2) Ability to apply knowledge and understanding.
Learning the basic tools, both quantitative and qualitative, necessary for customer satisfaction / customer loyalty analysis.
3) Autonomy of judgment.
Know how identify the key quality factors which influence consumer behavior, their satisfaction, and know how to implement this factors in all firms, both product and service sectors.
4) Communication Skills.
Ability to transfer data obtained from the application of measurement tools to reports.
5) Learning Skills.
Ability to know how to analyze the data obtained from both the relevant studies and the practical application of measuring tools, and transfer the results in strategic planning for the firms.

Teacher's Profile

courseProgram

examMode

books

Buttle, F. (2012) Customer relationship management. Teorie e tecnologie. FrancoAngeli
Slide del docente.

classRoomMode

Attendance is not mandatory to pass the exam but is required if you want to participate in the projects.

bibliography

Buttle, F. (2012) Customer relationship management. Teorie e tecnologie. FrancoAngeli
Slide del docente.

Learning objectives

"he course addresses the topic of digital transformation of organisations, and the consequent impacts on the way modern organisations work and operate. The course invites students to reflect on the changes, opportunities, risks, and consequences on the use of digital technologies in organisational design and change processes, and on the implications for organisational decision making and operational processes.

The course aims at transferring to the students theoretical knowledge and practical skills on the role of digital technologies in organisations, and on the competences and the processes necessary by individuals and organisations to govern this process.

During the course the students will be engaged in learning activities, both theoretical and practical ones, as individuals and in groups. The participation to the course will stimulate in students the development of the following capabilities.

Knowledge and comprehension
Understand the nature and impact of organisational change produced by the introduction of digital technologies in individual and groups behaviour.
Know the main information systems used in organisations.
Know the tools to analyse processes and guide the transformation processes through digital technologies.
Know the tools and the processes for analysing the information needs and for the design of or data analysis and presentation.

Applied knowledge
Being able to identify potential areas of application of digital technologies to solve organisational problems.
Being able to understand and govern the analysis of business processes and their re-engineering in the digital transformation.
Know how to identify and analyse the information needs of an organisation and how to design data analytics tools to satisfy such needs.
Know how to manage a digital transformation process through planning activities and estimating the effort, and know how to control the process using project management tools and techniques

Judgement capabilities
Know the main variables influencing the digital transformation process, know how to analyse them, and be able to judge if and when digital technologies can be used for organisational innovation and change.

Communication capabilities
During the course the students will practice the capabilities of presenting and discussing their ideas on the role of digital technologies in the transformation process of organisations.

Know how to learn
Being able to learn in an autonomous and self-management way.

Teacher's Profile

courseProgram

The course program is structured into two parts: a theoretical part and an applied/practical part.

Theoretical Part

In the theoretical part, students will explore the topic of digital transformation, the main theoretical perspectives used to study related phenomena, and its impact on organizations. The course examines the key changes introduced by the diffusion of digital technologies, current trends, and their expected future developments. It also introduces the main information systems adopted by organizations and their areas of application, as well as tools for planning and managing digital transformation initiatives, analyzing and reengineering processes for digitalization, and assessing organizational information needs.

The theoretical topics covered in the course include:
• The digital transformation process: changes and trends
• Theoretical perspectives on digital transformation: socio-technical systems theory, structuration theory, affordances, and sociomateriality
• Core enterprise information systems: ERP, CRM, KMS, DSS
• Business intelligence and data mining: big data, data warehouses, and artificial intelligence
• Cloud computing, privacy, and cybersecurity
• Management of digital transformation projects
• Process analysis and reengineering

Applied / Practical Part

The applied part of the course is designed to develop practical skills for understanding, designing, and managing digital transformation processes in organizations. Practical activities focus on three main areas:

Digital innovation project management: defining project objectives, identifying required resources, and planning and managing projects using work breakdown structures, RACI matrices, PERT, critical path analysis, and Gantt charts.

Digital transformation of processes: mapping and analyzing business and inter-organizational processes, process modeling and analysis using Business Process Modeling Notation (BPMN).

Business intelligence tools: analysis of organizational information needs, mapping data sources to information requirements, and design and development of interactive data dashboards, shared via the web using Microsoft Power BI.

examMode

The assessment aims to verify students’ understanding of the core theoretical concepts of the course, with particular reference to information systems and their application in organizational contexts, process modeling, and project planning.

For attending students, the assessment is based on a group project and an oral examination. The oral examination consists of three questions focusing on the application of process analysis and modeling techniques and on the theoretical concepts of digital transformation.

For non-attending students, the assessment consists of an oral examination with five questions covering all theoretical topics of the course, as well as project management and process modeling tools and techniques.

books

To study for the exam students must refer to:
- Management of Information Systems - Course slides written by the teacher
- Piccoli, G., & Pigni, F. (2016). Information Systems for Managers with Cases

Slides and cases used by the professor during classes are available on the http://moodle.unitus.it e-learning platform

classRoomMode

The course adopts a teaching methodology aimed at fostering active student participation. Students will work in groups on a project focused on process analysis, analysis of information needs supporting decision-making processes, and the design and development of interactive dashboards for data analysis.

The project work will be carried out in parallel with the lectures, and the final deliverable will be subject to evaluation. Non-attending students are not required to complete the group project.

During the course, the instructor may provide teaching materials and bibliographic references, including handouts, textbooks, and online resources.

Learning objectives

"Expected learning outcomes
1) Knowledge and understanding.
Knowing the impact of innovation on production processes and new technologies
2) Ability to apply knowledge and understanding.
Learning of the necessary tools to correctly and efficiently implement the innovation tools in the production chains in the light of new technologies.
3) Autonomy of judgment.
Knowing how to identify what new technologies are and what are the effects of innovation in processes, especially production ones.
4) Communication skills.
Ability to transfer the acquired knowledge
5) Learning skills.
Ability to be able to analyze the effects of innovation and define strategic actions."

Teacher's Profile

courseProgram

1. Technological innovation: process and product innovation; the concept of 'innovative product'; sources of innovation; the matching between research and innovation; startups and spinoffs. (6h)
2. Types of process and product: intermediate and final products; consumer products and industrial products; machinery and equipment; the international context; production chains: plastics; chemical industry; pharmaceutical; fashion system (clothing, textile industry, footwear), steel products; mechanical Engineering; automotive sector; agri-food; digital industry and consumer electronics. (6h)
3. Impact of innovation on products and processes: digitization and automation (industry 4.0); new factory and production models; 'digital' products; new materials: green chemistry materials, bioplastics and biosensors; biotechnology; use of innovative processes and materials for 'traditional' products; (6h)
4. Product certification: types of certification; product certification; environmental product certification; the CE marking; supply chain production regulations; sector and supply chain certifications; the international framework; certification and export of products to non-EU markets; (6h)

examMode

The oral exam consists in verifying the learning of the concepts and principles of quality-oriented management models.
For attending students there is also a project work aimed at deepening a case study of a company and analyzing the effects of innovation on products / production processes

The oral exam will contain a series of questions aimed at ascertaining both theoretical and practical knowledge of the theories and models illustrated and explained in class.
The project work of attending students aims to ascertain the real understanding of innovation in products / processes.

books

Iso 9001:2015 standard and slides provided by the Teachers

mode

Frontal lessons and seminars

classRoomMode

Course attendance is optional

bibliography

Iso 9001:2015 standard and slides provided by the Teachers

Teacher's Profile

courseProgram

1. Technological innovation: process and product innovation; the concept of ‘innovative product’; sources of innovation; matching research and innovation; start-ups and spinoffs
2. Process and product types; intermediate and final products; consumer and industrial products; machinery and equipment; the international context; production chains; plastics; chemical industry; pharmaceuticals; fashion system; steel products; mechanical industry; automotive; agri-food industry; digital industry and consumer electronics
3. Impact of innovation on products and processes: digitalisation and automation (Industry 4.0); new factory and production models; ‘digital’ products; new materials: green chemistry materials, bioplastics and biosensors; biotechnologies; use of innovative processes and materials for ‘traditional’ products.
4. Product certification: types of certification; product certification; environmental product certification; CE marking; supply chain production specifications; the international framework; certification and export of products to non-EU markets

examMode

The oral test consists of verifying learning of the concepts and principles of quality-oriented management models. For the attending students, a project work is then foreseen to deepen a case study of a company and the analysis of the effects of innovation on products/production processes.

The oral test will contain a series of questions aimed at ascertaining both theoretical and practical knowledge of the theories and models illustrated and explained in class.
The project work of the attending students aims to ascertain the real understanding of innovation in products/processes.

books

ISO 9001:2015 standard and slides provided by the teacher

classRoomMode

Course attendance is optional

bibliography

ISO 9001:2015 standard and slides provided by the teacher

Learning objectives

The course aims to provide the theoretical and methodological tools:
(i) to understand the structure of the economic system, with particular reference to the agri-food sector;
(ii) to identify the characteristics of the production and consumption processes of agri-food products and their implications on the environmental and social dimension;
(iii) to analyse the determinants of food consumers' choices and how these choices can drive the marketing strategies.

Teacher's Profile

courseProgram

Part 1 - The paradigm
1.1 - Introduction to the course
1.2 - Environment and society in the history of economic thought
1.3 - Relations between environment and economy
1.4 - Discussion on the topics
Part 2 - Economic processes: the case of the agri-food sector
2.1 - The nature of the economic process and its environmental and social implications
2.2 - The structure of agri-food production processes
2.3 - The structure of food consumption processes
2.4 - Discussion on the topics
Part 3 - Sustainability in the agri-food sector
3.1 - The concepts of weak sustainability and strong sustainability
3.2 - Examples of assessment of the sustainability in the agri-food systems
3.3 - Discussion on the topics
Part 4 - Consumers' behaviour and agri-food marketing
4.1 - The decision-making process of the consumer of agri-food products
4.2 - Perception of the quality and value of food
4.3 - The implications on agro-food marketing (evidences and examples)
4.4 - The implications on territorial marketing (evidences and examples)
4.5 - Discussion on the topics

examMode

The contents of the final exam are defined together with the students during the course

books

- Silvio Franco, "Appunti dalle Lezioni di Economia e Marketing del Prodotti Agroalimentari", 2019

- Supplementary readings and insights

mode

The course is based on: lectures organized in seminar form; presentation of case studies; discussions between the teacher and the students

classRoomMode

The course is not recommended for non-attending students

bibliography

References suggested in the lectures notes "Appunti dalle Lezioni di Economia e Marketing del Prodotti Agroalimentari"

Learning objectives

"Knowledge and comprehension skills
- Know the managerial tools to be applied in a quality management system integrated with I4.0. To know the organization of a quality- and innovation-oriented enterprise.
Ability to apply knowledge and understanding
- Learning the tools needed to properly and efficiently implement a Quality Management System and the tools of I4.0.
Autonomy of judgment
- Know how to identify nonconformities in a quality management system and how to identify and apply I4.0 tools
Communication skills
- Through group activities in the classroom at the end of the teaching, communicative activities capable of presenting and describing changes in the management of a specific organization through the presentation of project work will be refined
Learning ability
- The various teaching methods used will enable the student to develop a practical approach to implementing I4.0 tools integrated with a quality system. The student will accrue a critical appreciation of his or her understanding of key concepts, theoretical frameworks, and practices through the high level of classroom interactions"

Teacher's Profile

courseProgram

The Quality Management in Industry 4.0 course introduces students to a managerial perspective on quality in digital and complex contexts, integrating the fundamentals of TQM with principles of continuous improvement, data-driven decision-making (even when data is imperfect) and quality management in services and platforms.

examMode

The course assessment is mainly based on a project work, through which attending students analyse or develop an application of Quality Management principles in the context of Industry 4.0. The project requires the integration of digital tools, continuous improvement methodologies and advanced quality concepts, demonstrating the ability to interpret the transformations introduced by intelligent technologies in production processes. The presentation and discussion of the work constitute the main test for attending students.

Non-attending students, on the other hand, are required to take a written test to assess their knowledge of the theoretical content, quality models and technologies typical of Industry 4.0, as well as their ability to apply these concepts to operational situations and critical evaluation.

books

Teacher's material

classRoomMode

Attendance at lectures is not compulsory, but it is strongly recommended. The interdisciplinary nature of the course and the practical approach adopted during the sessions make participation a fundamental element in fully acquiring the interpretative tools and skills necessary to pass the exam. The lectures offer opportunities for discussion, analysis of real cases and guided discussions that are difficult to replicate through the study of materials alone.

Learning objectives

"The course provides the tools to understand the dynamics of innovation and product certification for the competitiveness of companies, with particular reference to international markets.
Expected learning outcomes:
Knowledge and understanding: understand the impact of innovation on production processes and new technologies.
Ability to apply knowledge and understanding: learn the necessary tools to correctly and efficiently implement innovation tools in production chains in light of new technologies.
Autonomy of judgment:bBe able to identify what the new technologies are and what the effects of innovation are in processes, particularly in production.
Communication skills: ability to transfer acquired knowledge.
Learning ability: ability to analyze the effects of innovation and define strategic actions."

Teacher's Profile

courseProgram

This course examines how firms design and manage innovation under sustainability constraints. It
integrates innovation strategy, product/process innovation, technology trajectories, business model
design

examMode

The course assessment is mainly based on a project work, through which attending students develop a proposal for sustainable innovation applied to a product or service, demonstrating their ability to integrate eco-design principles, life cycle analysis and sustainable marketing strategies. The work is presented and discussed, and constitutes the main test for the examination.

Non-attending students, on the other hand, are required to take a written exam to test their understanding of the theoretical and regulatory content covered in the course and their ability to apply it critically.

books

Teacher's material

classRoomMode

Attendance at lectures is not compulsory, but it is strongly recommended. The interdisciplinary nature of the course and the practical approach adopted during the sessions make participation essential in order to fully acquire the interpretative tools and skills necessary to pass the exam. The lectures offer opportunities for discussion, analysis of real cases and guided debates that are difficult to replicate through the study of materials alone.

CHOICE GROUPS	YEAR/SEMESTER	CFU	SSD	LANGUAGE
GRUPPO OPZIONALE SECS-P/08 24-25	-	8	-	-
120394 - COMPORTAMENTO D'ACQUISTO DEL CONSUMATORE MICHELA PICCAROZZI	First Year / Second Semester	8	SECS-P/08
GRUPPO OPZIONALE SECS-P/08 24-25	-	8	-	-
119588 - MARKETING AND BIG DATA ANALYTICS MICHELA PICCAROZZI	Second Year / First Semester	8	SECS-P/08
GRUPPO OZPIONALE SECS-P/13	-	8	-	-
119028 - SUSTAINABILITY AND CIRCULAR ECONOMY CECILIA SILVESTRI	Second Year / First Semester	8	SECS-P/13
13886 - CUSTOMERS RELATIONSHIP MANAGEMENT AND QUALITY CECILIA SILVESTRI	Second Year / First Semester	8	SECS-P/13
GRUPPO OPZIONALE AFFINI 24-25	-	16	-	-
120396 - MANAGEMENT OF INFORMATION SYSTEMS MARCO SMACCHIA	Second Year / First Semester	8	SECS-P/10
119032 - PRODUCT INNOVATION AND CERTIFICATION ALESSANDRO RUGGIERI	Second Year / Second Semester	8	SECS-P/13
119036 - ECONOMICS AND MARKETING OF AGRI-FOOD PRODUCTS SILVIO FRANCO	Second Year / Second Semester	8	AGR/01
120453 - QUALITY MANAGEMNT IN INDUSTRY 4.0 MARIAGRAZIA PROVENZANO	Second Year / Second Semester	8	SECS-P/13
120395 - INNOVATION AND PRODUCTSUSTAINABLE DEVELOPMENT MARIAGRAZIA PROVENZANO	Second Year / Second Semester	8	SECS-P/13

Cookie	Duration	Description
ASP.NET_SessionId	session	Issued by Microsoft's ASP.NET Application, this cookie stores session data during a user's website visit.
cookielawinfo-checkbox-advertisement	1 year	Set by the GDPR Cookie Consent plugin, this cookie records the user consent for the cookies in the "Advertisement" category.
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
CookieLawInfoConsent	1 year	CookieYes sets this cookie to record the default button state of the corresponding category and the status of CCPA. It works only in coordination with the primary cookie.
csrftoken	1 year	This cookie is associated with Django web development platform for python. Used to help protect the website against Cross-Site Request Forgery attacks
wpEmojiSettingsSupports	session	WordPress sets this cookie when a user interacts with emojis on a WordPress site. It helps determine if the user's browser can display emojis properly.

Cookie	Duration	Description
NID	6 months	Google sets the cookie for advertising purposes; to limit the number of times the user sees an ad, to unwanted mute ads, and to measure the effectiveness of ads.
VISITOR_INFO1_LIVE	6 months	YouTube sets this cookie to measure bandwidth, determining whether the user gets the new or old player interface.
VISITOR_PRIVACY_METADATA	6 months	YouTube sets this cookie to store the user's cookie consent state for the current domain.
YSC	session	Youtube sets this cookie to track the views of embedded videos on Youtube pages.
yt-remote-connected-devices	never	YouTube sets this cookie to store the user's video preferences using embedded YouTube videos.
yt-remote-device-id	never	YouTube sets this cookie to store the user's video preferences using embedded YouTube videos.
yt.innertube::nextId	never	YouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.
yt.innertube::requests	never	YouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.

Cookie	Duration	Description
_ga	1 year 1 month 4 days	Google Analytics sets this cookie to calculate visitor, session and campaign data and track site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors.
_ga_*	1 year 1 month 4 days	Google Analytics sets this cookie to store and count page views.

#WEUNITUS

Learning objectives

courseProgram

examMode

books

mode

classRoomMode

bibliography

Learning objectives

courseProgram

examMode

books

mode

classRoomMode

bibliography

courseProgram

examMode

books

mode

classRoomMode

bibliography

Learning objectives

courseProgram

examMode

books

mode

classRoomMode

bibliography

courseProgram

examMode

books

classRoomMode

Learning objectives

courseProgram

examMode

books

classRoomMode

Learning objectives

courseProgram

examMode

books

classRoomMode

bibliography

Learning objectives

courseProgram

examMode

books

mode

classRoomMode

bibliography

Learning objectives

courseProgram

examMode

books

mode

classRoomMode

bibliography

Learning objectives

courseProgram

examMode

books

classRoomMode

bibliography

Learning objectives

courseProgram

examMode

books

classRoomMode

bibliography

Learning objectives

courseProgram

examMode

books

classRoomMode

bibliography

Learning objectives

courseProgram

examMode

books