New ways of working and the emergence of new organizational dynamics
New ways of working (e.g. freelancing, digital nomadism, coworking), new organizational dynamics (e.g. collaborative economy, gig economy, flat-hierarchy, etc.) and new technologies (e.g. artificial intelligence, automation, etc.) are changing the way not only the way we collaborate but the role and status of work as well. This course also introduces some trends about work and organization and analyses the main stakes. It is specially designed for students trying to understand major evolutions at work.
Degree: Master and MBA
This course firstly introduces the classic organization theories, questions their core assumptions and highlights their limits to understand the current evolutions. Then, this course deals with recent theories considering the organization as an open phenomenon (practice-based view, process view, sociomateriality, etc.) and questions the relevance of such approaches to understanding the current emergence of new organization phenomena.
Degree: Bachelor, Master
Innovative project and organizational change
Most of the jobs are nowadays project-based oriented, while the organization is defined from the projects in which people are involved. Agile methods, design thinking, Jugaad innovation, open innovation, lean startup are thus the new methods people work with. This course aims at providing students with the fundamentals to understand this “projectification” of work and the socio-economic context in which it has emerged. This course is also an opportunity to discover new methods and tools and question their core assumptions.
Qualitative research methods
Following and understanding the emergence of new forms of organization, work practices and management requires not only that one spend time in the proximity of workers, but that employ appropriate methods and tools. As qualitative research requires that one study people in live, this course is mainly about ethnography, case study, netnography, photography, observation, interview and data analysis. Through this course, the aim is to develop knowledge and practice methods for doing qualitative studies.
Degree: Master, EDBA