2021/2022 KAN-CCMVI2116U The Changing Nature of Work: Towards a Digital Future
English Title | |
The Changing Nature of Work: Towards a Digital Future |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Elective |
Level | Full Degree Master |
Duration | Summer |
Start time of the course | Summer |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Max. participants | 60 |
Study board |
Study Board for MSc in Economics and Business
Administration
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Course coordinator | |
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Chee-Wee Tan and Thomas Rousing are also involved in the course. For academic questions related to the course, please contact course responsible Liana Razmerita (lra.msc@cbs.dk). | |
Main academic disciplines | |
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Teaching methods | |
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Last updated on 01/12/2021 |
Relevant links |
Learning objectives | ||||||||||||||||||||||||
Throughout the course, students are expected to
critically reflect on the changing nature of work, both in terms of
the opportunities and challenges accompanying digital work
practices as well as the potential consequences brought about by
such work practices at different levels of analyses (e.g.,
individual, organizational or
societal). In order to achieve the grade 12, the students should be able to:
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Course prerequisites | ||||||||||||||||||||||||
Completed Bachelor degree or equivalent | ||||||||||||||||||||||||
Examination | ||||||||||||||||||||||||
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||
Knowledge work continues to develop and evolve as we have witnessed recently through the emergence of remote or hybrid workplaces, the advent of the gig economy, as well as the surge in digital nomads. The pandemic has further accelerated the transition to digital work practices due to a compelling need to continue organisations’ businesses operations and sustain employees’ livelihood. By harnessing the capabilities of digital technologies, digital work practices allow for more dynamic and fluid work arrangements regarding where and when work is done. This is especially relevant for high-skilled knowledge workers in different fields of activity including creative, financial, and service industries.
This course is targeted at students interested in learning about the opportunities and callenges associated with the changing nature of work empowered by digital technologies. The course focuses on how digital technologies (e.g., artificial intelligence, data analytics, digital platforms, and social media) are leveraged to support collaboration and innovation within cultural and institutional contexts as well as the consequences, intended or otherwise, stemming from their usage. Additionally, we will deliberate on the role of leadership and its associated strategies for managing the changing nature of work alongside the Sustainable Development Goals (SDGs) being implemented by organizations. To comprehend the changing nature of work, we will draw on several management theories (e.g., paradox, self-determinantion and social dilemma theories) to uncover the strategic considerations underlying organizations’ transition to novel, digital forms of working and innovating.
The course will offer a fundamental coverage of the following topics:
Students will participate in group work that is aimed at synthesizing knowledge to produce solutions for addressing contemporary issues with digital work practices in actual case companies. |
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Description of the teaching methods | ||||||||||||||||||||||||
This course embraces a blended learning structure that comprises a mix of in-class lectures and workshops combined with online activities. Students, in groups or individually, will build on theoretical concepts and case studies covered during in-class lectures and workshops to construct a mini project for the examination. | ||||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||||
Students will receive instructors’ and peer
feedback during assignements and workshops.
Students will have the opportunity to present their work in progress in relation with their project exam and receive developmental feedback on it. |
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Student workload | ||||||||||||||||||||||||
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Further Information | ||||||||||||||||||||||||
Short 3 weeks course that cannot be combined with any other course.
Preliminary Assignment : The course coordinator uploads Preliminary Assignment on Canvas at the end of May. It is expected that students participate as it will be included in the final exam, but the assignment is without independent assessment&grading.
Course and exam timetable is/will be available on https://www.cbs.dk/uddannelse/international-summer-university-programme-isup/courses-and-exams
We reserve the right to cancel the course if we do not get enough applications. This will be communicated on https://www.cbs.dk/uddannelse/international-summer-university-programme-isup/courses-and-exams in start March. |
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Expected literature | ||||||||||||||||||||||||
Some references for the course. The full list of readings will be available on Canvas.
Barley, S. R., Bechky, B. A., & Milliken, F. J. (2017). The Changing Nature of Work: Careers, Identities, and Work Lives in the 21st Century. Academy of Management Discoveries, 3(2), 111–115. https://doi.org/10.5465/amd.2017.0034
Dery, K., Sebastian, I. M., & van der Meulen, N. (2017). The Digital Workplace is Key to Digital Innovation. MIS Quarterly Executive, 16(2), 135–152.
Gal, U., Jensen, T. B., & Stein, M. K. (2020). Breaking the Vicious Cycle of Algorithmic Management: A Virtue Ethics Approach to People Analytics. Information and Organization, 30(2), 100301.
Newell, S., Morton, J., Marabelli, M., & Galliers, R. (2020). Managing Digital innovation. Springer Nature.
Razmerita, L., Brun, A., & Nabeth, T. (2021). Collaboration in the Machine Age: Trustworthy Human-AI Collaboration. forthcoming in M. Virvou, G. Tsihrintzis, & J. Lakhmi (Eds.), Advances in Selected Artificial Intelligence Areas - World Outstanding Women in Artificial Intelligence (p. 23). Springer Nature.
Schildt, H. (2017). Big Data and Organizational Design – The Brave New World of Algorithmic Management and Computer Augmented Transparency. Innovation, 19(1), 23-30.
Smith, W., & Lewis, M. (2011). Toward A Theory of Paradox: A Dynamic Equilibrium Model of Organizing. The Academy of Management Review, 36(2), 381–403. https://doi.org/10.5465/AMR.2011.59330958
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