DATA DRIVEN COMPETITIVE STRATEGY AND TECHNOLOGY ANALYSIS

Academic year
2021/2022 Syllabus of previous years
Official course title
DATA DRIVEN COMPETITIVE STRATEGY AND TECHNOLOGY ANALYSIS
Course code
EM1418 (AF:339280 AR:181540)
Modality
On campus classes
ECTS credits
6
Degree level
Master's Degree Programme (DM270)
Educational sector code
SECS-P/08
Period
2nd Term
Course year
2
Where
VENEZIA
Moodle
Go to Moodle page
The course is part of the program in Data Analytics for Business and Society. Within this progam, the course aims to familiarize students with the concept of business strategies in turbulent environments, with a particular focus on strategies relating to technologies, and among these on those aimed at extract value from data analytics
Starting from strategic management in turbulent environments, with particular reference to technologies, and therefore to organizational management and data enhancement, students will learn how to support the decision-making processes of the company's top figures. They will learn to apply the point of view of their interlocutors and to refine the tools at their disposal to respond to the requests that this could make.
This course requires no prerequisites
Structure:
1. strategies for turbolence
2. innovation & network strategy
3. data-based value chains
4. taking data-driven strategic decisions
5. causality vs. correlation: logics & tools
6. data-driven strategies and ethical decision-making
For each session, the reference material will be indicated, together with a series of scientific articles and readings that will be placed on Moodle
The final acquisition of competences by the students will be tested with reference to:
1) Groupwork developed and presented during the course. In this case the evaluation will be centered around the capability of the student to connect theories seen in class with the chosen case.
2) The written exam, lasting 1 hour and comprising open and multiple-choice questions. In this case the aim is to test students’ understanding of the course concepts and capability to connect them to cases seen during the course and to the real cases presented in class.
3) One or more exercise session to be developed in class or as homework. These will be explained in class, together with the related evaluation criteria.
4) Class participation, resulting in a possible bonus when students behave proactively.
Students not attending classes will be evaluated only on the basis of the written exam.
Due to Covid emergency, the exam procedure may be subject to modifications.
The course comprises some initial lectures aimed at providing the basic knowledge relative to digital markets. Some lecture will be frontal lectures, and will be centered on specific theoretical themes. Others will be based on case presentation and discussion with the students. Moreover, some operators active in digital markets will be called to share their experience with the students.
At the same time, students can participate in groupwork sessions aimed at matching the theoretical concepts seen in class to the real case chosen by their group. The groupwork has the central function of bridging theory and reality, and is thus key. Students’ groups will be able to choose the cases that are mostly interesting to them, of course within the limits of the course’s main themes.
Due to Covid emergency, the course delivery may be subject to modifications.
English
Support to students with disabilities is assured by Ca' Foscari. In case, please write an inquiry to disabilita@unive.it.
written

This subject deals with topics related to the macro-area "Circular economy, innovation, work" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development

Definitive programme.
Last update of the programme: 01/10/2021