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.
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.
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
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
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
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
The internal auditing professional.
The internal auditing activities and results.
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
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
The internal auditing professional.
The internal auditing activities and results.
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.
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
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 questions to ascertain 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 and the evaluation and management criteria of non-conformities.
The project work of attending students aims to ascertain a fundamental understanding of a quality system implemented in an honest company.
books
Iso 9001:2015 standard and slides provided by the Teachers
mode
The course includes lectures, case studies and seminars
classRoomMode
Attendance is not mandatory but required for participation in project activities
13899 - OPTIONAL SUBJECT
First Semester
8
119035 - PROFESSIONAL ACTIVITY
First Semester
4
120409 - DIGITAL SKILLS LAB: DATA ANALYTICS WITH R
FILIPPO 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
THEORETICAL PART
-Introduction to statistics, basic concepts (sample, statistical unit, modality), descriptive statistics, frequency distribution (absolute frequencies, relative frequencies, cumulative frequency, percentage, cumulative percentage, amplitude, density);
-Measures of central tendency (mean, median, mode, quartiles, percentiles), measures of variability (variance, standard deviation, coefficient of variation, interquartile range);
-Basic graphs (histograms, bar charts, box plots, pie charts).
-Random variables, introduction to probability distributions, confidence intervals.
-Introduction to hypothesis testing (one-tailed, two-tailed, with known variance), understanding test results, concept of p-value.
PRACTICAL PART
-Introduction to R, installation of R and RStudio, using the console (dynamic programming with basic operations, creating vectors, simple operations between vectors).
-Loading data, visualizing data, concept of a dataset, row, column, basic R functions, data cleaning and organization.
-Using R to calculate frequency distributions and plot histograms.
-Using R to calculate measures of central tendency and measures of variability.
-Using R for graphical representation of data.
-Using R to calculate confidence intervals and perform preliminary tests on data distribution.
-Using R to perform hypothesis testing.
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:
-6 on the theoretical part
-4 on R functionality.
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
13880 - STATISTICS IN MARKET RESEARCHS
FEDERICO CRESCENZI
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"
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
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.
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.
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.
- 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
MODULE II
-
-
-
-
COMPORTAMENTO D'ACQUISTO DEL CONSUMATORE
ELISA IANDIORIO
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.
Module 1 – Introduction to Marketing 4.0
-Definition and key principles of Marketing 4.0;
The evolution from one-way communication to consumer dialogue;
The role of digital technologies in marketing innovation;
Integration of online and offline customer experiences.
Module 2 – The New Consumer Behavior
-The central role of connectivity in customer experience;
-Emerging decision-making models: from the AIDA model to the 5A framework (Aware, Appeal, Ask, Act, Advocate);
-The influence of digital communities and online word-of-mouth.
Module 3 – In-Depth Study of Consumer Behavior
-Buying behaviors and factors influencing decision-making in digital environments;
-The hybrid consumer: multichannel and omnichannel behaviors;
-Emotions, cognitive biases, and unconscious motivations in purchasing decisions;
-Personalization and consumer expectations: shifting perceptions of value;
-Case study analysis and review of recent market research.
Module 4 – Lessons in Human-Centric Marketing
-Brand humanization: empathy, authenticity, and values;
-The use of storytelling to build emotional connections with audiences;
-Intergenerational consumer analysis: Baby Boomers, Generation X, Millennials, Generation Z.
Module 5 – Metrics and KPIs in Digital Marketing
-Measuring loyalty, engagement, and advocacy;
-Defining and monitoring performance indicators along the digital customer journey;
-The strategic importance of data and analytics tools in decision-making.
examMode
The exam will consist of a written test (3 open-ended questions) with a duration of 1 hour and 30 minutes.
Through the written test, students can achieve a maximum score of 30/30 with honors, to which additional points from the project work (ranging from 0 to 3 points) will be added.
books
Kotler, P. (2017). Marketing 4.0: dal tradizionale al digitale.
Supplementary materials available on Moodle
classRoomMode
Attendance is recommended but not compulsory.
bibliography
See Texts
120410 - PROFESSIONAL ENGLISH FOR MARKETING AND BUSINESS
FELICETTA RIPAFELICETTA 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.
Contents:
Text genre, types and Discourse Analysis. The text as a cultural, polysemic and multimodal communication tool. The course will offer an overview of current and controversial issues debated in the field of international politics and their macro-economic elements, examined from a social, philosophic and linguistic perspective. Students will be required to practice writing video reviews, analytical summaries, critiques and a short essay.
examMode
Exam format:
Critical Writing Task. Use of a bilingual dictionary is allowed. Students failing the test and scoring less than 14 out of 30 will not be allowed to repeat the test in the following exam session.
books
Teaching Material:
Handouts from EAP handbooks and specialized journals, and online material uploaded with assignments on Moodle. Students who will not attend the course are encouraged to consult any handbook on academic writing, such as Writing Academic English, available in the Resources section of the Moodle page.
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.
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
Slides and material provided by the professor
mode
The course includes lectures, case studies and seminars
classRoomMode
frequency is not obligatory
bibliography
see textbooks
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.
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 satisfaction / 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 (12h)
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, (6h)
3.Introduzione al CRM, definizione e tipologie (acquisizione di nuovi clienti, retention, creazione di valore per il cliente) (30h)
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 of professor.
mode
The course includes lectures, case studies and seminars
classRoomMode
Attendance is not mandatory but required for participation in project activities
MODULE II
-
-
-
-
DIGITAL BUSINESS ORGANIZATION
ALESSIO MARIA BRACCINI
Second Semester
8
SECS-P/10
Learning objectives
The 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.
The syllabus of the course is divided in two parts: a first theoretical part and a second practical part.
The theoretical part of the course deepens the topic of digital transformation and the impact that it has on organisations. The syllabus deepens the main changes introduced by the digital transformation process, the main development trends currently in action, and their future developments.
The students will also learn the main information systems used by companies to manage the digital transformation initiatives, to analyse the business processes, to re-engineer them, and to identify the information needs of organizations.
The theoretical concepts included in the course syllabus cover the following areas:
- Changes and trends of the digital transformation process
- The socio-technical systems theory
- The fundamental organizational processes: sense making, decision making, and knowing
- The enterprise information systems: ERP, CRM, KMS, and DSS
- The business intelligence systems for data mining: big data, datawarehouse and artificial intelligence
- Cloud computing, privacy and cyber security
- Planning and managing digital transformation processes
- Analysing and re-engineering business processes
The practical part of the course concerns the development of actionable skills to control and govern the digital transformation process in organisations. The practical skills learned during the course cover three aspects:
- Management of digital innovation projects: identification of objectives of a digital transformation process, identification of the necessary resources, planning and management of a project through the work breakdown structure, the RACI matrix, the PERT, the critical path method analysis, and the GANTT diagram
- Digital transformation of business processes: modelling and analysis of both inter- and intra-organisational processes through the Business Process Modelling Notation (BPMN)
- Business intelligence: analysis of the information need, map of information sources with information needs, design and development of data presentation and analysis dashboard with Microsoft Power BI
examMode
The exam will verify whether the students acquired the theoretical concepts in the syllabus of the course and are able to apply them into real life organizational contexts, in processes, and in project management.
For students attending the course, the exam will be composed by the discussion of the project work and an oral exam.
For students not attending the course, the exam will be composed by five questions spanning over the different topics in the syllabus, including business process management and project management techniques.
books
To study for the exam students must refer to:
- Management of Information Systems - Course compendium written by Braccini Alessio Maria
- 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
mode
Face to face teaching in classroom with real-time broadcasting on Zoom
classRoomMode
A teaching methodology aimed at stimulating active student participation will be used. The students will be divided into groups and will engage in a project-based activity focused on process analysis, information needs analysis for decision-making processes, and the design and development of interactive dashboards for data analysis.
Each group of students will work on their project in parallel with the course lessons. The final work produced by the groups will be graded.
Students non attending the course will not work on a group project work activity.
During the course, the instructor may provide materials and bibliographic references (supplementary handouts, texts, and web addresses).
bibliography
To study for the exam students must refer to:
- Management of Information Systems - Course compendium written by Braccini Alessio Maria
- 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
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
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
119057 - THESIS
Second Semester
9
119230 - ENTERPRISE COMPETITION AND MARKET
RAFFAELE CROCE
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.
In the age of digital transformation, an important part of information that can be used by companies can be derived from unstructured data stored in business documents (word, power point, and pdf), on the web (websites, blogs, and online communities), or on social media. These data constitute an important information pool for understanding the environmental phenomena and dynamics affecting the life of organizations. However, it is mostly textual information, and in an unstructured format. Moreover, it is information that has all the characteristics of speed, variety, and quantity that characterize big data.
This course addresses the technical challenges for organizations and the application tools to automatically identify, collect, extract, and analyze unstructured data sources from Web pages and social media.
The course theoretically introduces the fundamental organizational processes-sense making, decision making, and knowing-and the fundamentals of qualitative analysis and automatic text analysis. The course also provides theoretical knowledge about the mechanisms of operation of web technologies including: web and html protocols and standards, main mechanisms of operation of social media, APIs for accessing data on social media platforms, main technologies of data interchange between different platforms (csv, json).
For application purposes in the course, students will perform hands-on activities of extracting, manipulating and analyzing data taken from social media or websites. The knowledge, techniques, and tools learned during the course can also be used for the analysis of other types of unstructured data such as reports, documents, or document sources from databases.
During the course, students will be engaged in learning activities (both theoretical and applied) individually and in groups. Participation in the course is intended to stimulate in students the development of the following knowledge and skills.
Knowledge and understanding skills
Understand opportunities and limitations of big data, unstructured data, and automatic text analysis.
Know the basic organizational processes and the role that information plays within them.
Know the theoretical foundations and techniques required for the automatic extraction and analysis of data from unstructured text sources.
Applied knowledge and understanding skills
Recognize areas of practical applications of techniques for extracting, manipulating, and analyzing unstructured data.
Recognize opportunities and risks of using information from unstructured data sources, the Web, and social media.
Autonomy of judgment.
Understand whether and what data from unstructured sources (web and social media) can meet the information needs of individuals or organizations.
Understand which structured and unstructured information sources to integrate to meet the information need.
Know how to evaluate the information content-and any biases that may be present-within unstructured data. Know how to objectively interpret information obtained from automatic text analysis.
Communication skills.
During the course, students will train the ability to present, argue and discuss in public automatic text analysis tools and the interpretation of the results of the analysis performed.
Learning skills
Ability to approach the learning process in a fully autonomous and self-managed manner.
"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."
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
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
MODULE II
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-
-
-
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.
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"
CHOICE GROUPS
YEAR/SEMESTER
CFU
SSD
LANGUAGE
MODULE II
-
8
-
-
120394 - COMPORTAMENTO D'ACQUISTO DEL CONSUMATORE
ELISA IANDIORIO
First Year / Second 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.
Module 1 – Introduction to Marketing 4.0
-Definition and key principles of Marketing 4.0;
The evolution from one-way communication to consumer dialogue;
The role of digital technologies in marketing innovation;
Integration of online and offline customer experiences.
Module 2 – The New Consumer Behavior
-The central role of connectivity in customer experience;
-Emerging decision-making models: from the AIDA model to the 5A framework (Aware, Appeal, Ask, Act, Advocate);
-The influence of digital communities and online word-of-mouth.
Module 3 – In-Depth Study of Consumer Behavior
-Buying behaviors and factors influencing decision-making in digital environments;
-The hybrid consumer: multichannel and omnichannel behaviors;
-Emotions, cognitive biases, and unconscious motivations in purchasing decisions;
-Personalization and consumer expectations: shifting perceptions of value;
-Case study analysis and review of recent market research.
Module 4 – Lessons in Human-Centric Marketing
-Brand humanization: empathy, authenticity, and values;
-The use of storytelling to build emotional connections with audiences;
-Intergenerational consumer analysis: Baby Boomers, Generation X, Millennials, Generation Z.
Module 5 – Metrics and KPIs in Digital Marketing
-Measuring loyalty, engagement, and advocacy;
-Defining and monitoring performance indicators along the digital customer journey;
-The strategic importance of data and analytics tools in decision-making.
examMode
The exam will consist of a written test (3 open-ended questions) with a duration of 1 hour and 30 minutes.
Through the written test, students can achieve a maximum score of 30/30 with honors, to which additional points from the project work (ranging from 0 to 3 points) will be added.
books
Kotler, P. (2017). Marketing 4.0: dal tradizionale al digitale.
Supplementary materials available on Moodle
classRoomMode
Attendance is recommended but not compulsory.
bibliography
See Texts
MODULE II
-
8
-
-
119028 - SUSTAINABILITY AND CIRCULAR ECONOMY
CECILIA SILVESTRI
Second Year / First 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.
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
Slides and material provided by the professor
mode
The course includes lectures, case studies and seminars
classRoomMode
frequency is not obligatory
bibliography
see textbooks
13886 - CUSTOMERS RELATIONSHIP MANAGEMENT AND QUALITY
CECILIA SILVESTRI
Second Year / First 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.
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 satisfaction / 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 (12h)
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, (6h)
3.Introduzione al CRM, definizione e tipologie (acquisizione di nuovi clienti, retention, creazione di valore per il cliente) (30h)
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 of professor.
mode
The course includes lectures, case studies and seminars
classRoomMode
Attendance is not mandatory but required for participation in project activities
MODULE II
-
8
-
-
119030 - DIGITAL BUSINESS ORGANIZATION
ALESSIO MARIA BRACCINI
Second Year / First Semester
8
SECS-P/10
Learning objectives
The 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.
The syllabus of the course is divided in two parts: a first theoretical part and a second practical part.
The theoretical part of the course deepens the topic of digital transformation and the impact that it has on organisations. The syllabus deepens the main changes introduced by the digital transformation process, the main development trends currently in action, and their future developments.
The students will also learn the main information systems used by companies to manage the digital transformation initiatives, to analyse the business processes, to re-engineer them, and to identify the information needs of organizations.
The theoretical concepts included in the course syllabus cover the following areas:
- Changes and trends of the digital transformation process
- The socio-technical systems theory
- The fundamental organizational processes: sense making, decision making, and knowing
- The enterprise information systems: ERP, CRM, KMS, and DSS
- The business intelligence systems for data mining: big data, datawarehouse and artificial intelligence
- Cloud computing, privacy and cyber security
- Planning and managing digital transformation processes
- Analysing and re-engineering business processes
The practical part of the course concerns the development of actionable skills to control and govern the digital transformation process in organisations. The practical skills learned during the course cover three aspects:
- Management of digital innovation projects: identification of objectives of a digital transformation process, identification of the necessary resources, planning and management of a project through the work breakdown structure, the RACI matrix, the PERT, the critical path method analysis, and the GANTT diagram
- Digital transformation of business processes: modelling and analysis of both inter- and intra-organisational processes through the Business Process Modelling Notation (BPMN)
- Business intelligence: analysis of the information need, map of information sources with information needs, design and development of data presentation and analysis dashboard with Microsoft Power BI
examMode
The exam will verify whether the students acquired the theoretical concepts in the syllabus of the course and are able to apply them into real life organizational contexts, in processes, and in project management.
For students attending the course, the exam will be composed by the discussion of the project work and an oral exam.
For students not attending the course, the exam will be composed by five questions spanning over the different topics in the syllabus, including business process management and project management techniques.
books
To study for the exam students must refer to:
- Management of Information Systems - Course compendium written by Braccini Alessio Maria
- 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
mode
Face to face teaching in classroom with real-time broadcasting on Zoom
classRoomMode
A teaching methodology aimed at stimulating active student participation will be used. The students will be divided into groups and will engage in a project-based activity focused on process analysis, information needs analysis for decision-making processes, and the design and development of interactive dashboards for data analysis.
Each group of students will work on their project in parallel with the course lessons. The final work produced by the groups will be graded.
Students non attending the course will not work on a group project work activity.
During the course, the instructor may provide materials and bibliographic references (supplementary handouts, texts, and web addresses).
bibliography
To study for the exam students must refer to:
- Management of Information Systems - Course compendium written by Braccini Alessio Maria
- 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
119036 - ECONOMICS AND MARKETING OF AGRI-FOOD PRODUCTS
SILVIO FRANCO
Second Year / 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.
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"
MODULE II
-
8
-
-
119031 - SOCIAL MEDIA MINING
ALESSIO MARIA BRACCINI
Second Year / Second Semester
8
SECS-P/10
Learning objectives
In the age of digital transformation, an important part of information that can be used by companies can be derived from unstructured data stored in business documents (word, power point, and pdf), on the web (websites, blogs, and online communities), or on social media. These data constitute an important information pool for understanding the environmental phenomena and dynamics affecting the life of organizations. However, it is mostly textual information, and in an unstructured format. Moreover, it is information that has all the characteristics of speed, variety, and quantity that characterize big data.
This course addresses the technical challenges for organizations and the application tools to automatically identify, collect, extract, and analyze unstructured data sources from Web pages and social media.
The course theoretically introduces the fundamental organizational processes-sense making, decision making, and knowing-and the fundamentals of qualitative analysis and automatic text analysis. The course also provides theoretical knowledge about the mechanisms of operation of web technologies including: web and html protocols and standards, main mechanisms of operation of social media, APIs for accessing data on social media platforms, main technologies of data interchange between different platforms (csv, json).
For application purposes in the course, students will perform hands-on activities of extracting, manipulating and analyzing data taken from social media or websites. The knowledge, techniques, and tools learned during the course can also be used for the analysis of other types of unstructured data such as reports, documents, or document sources from databases.
During the course, students will be engaged in learning activities (both theoretical and applied) individually and in groups. Participation in the course is intended to stimulate in students the development of the following knowledge and skills.
Knowledge and understanding skills
Understand opportunities and limitations of big data, unstructured data, and automatic text analysis.
Know the basic organizational processes and the role that information plays within them.
Know the theoretical foundations and techniques required for the automatic extraction and analysis of data from unstructured text sources.
Applied knowledge and understanding skills
Recognize areas of practical applications of techniques for extracting, manipulating, and analyzing unstructured data.
Recognize opportunities and risks of using information from unstructured data sources, the Web, and social media.
Autonomy of judgment.
Understand whether and what data from unstructured sources (web and social media) can meet the information needs of individuals or organizations.
Understand which structured and unstructured information sources to integrate to meet the information need.
Know how to evaluate the information content-and any biases that may be present-within unstructured data. Know how to objectively interpret information obtained from automatic text analysis.
Communication skills.
During the course, students will train the ability to present, argue and discuss in public automatic text analysis tools and the interpretation of the results of the analysis performed.
Learning skills
Ability to approach the learning process in a fully autonomous and self-managed manner.
"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."
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
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
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