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2021/2022  KAN-CCMVV2410U  Managing Work in the Digital Age: Algorithms, Collaborations, and Innovations

English Title
Managing Work in the Digital Age: Algorithms, Collaborations, and Innovations

Course information

Language English
Course ECTS 7.5 ECTS
Type Elective
Level Full Degree Master
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 80
Study board
Study Board for MSc in Economics and Business Administration
Course coordinator
  • Chee-Wee Tan - Department of Digitalisation
  • Liana Razmerita - Department of Management, Society and Communication (MSC)
Main academic disciplines
  • Information technology
  • Innovation
  • Management
Teaching methods
  • Blended learning
Last updated on 15-02-2021

Relevant links

Learning objectives
Process of managing knowledge work in the digital age
  • Opportunities and challenges associated with the management of digital work practices involving novel forms of collaboration and innovation
  • Dynamics of managing digital work practices for knowledge creation within collectives
  • Role of algorithms or software agents in managing work
  • Relationship among digital work practices, collaboration, and innovation
  • Influence of cultural conditions on digital work practices
Managing Work in the Digital Age: Algorithms, Collaborations, and Innovations:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Group exam
Please note the rules in the Programme Regulations about identification of individual contributions.
Number of people in the group 2
Size of written product Max. 25 pages
Groups of 2 students.
A project of 25 A4-pages.
The project must be submitted at the end of the teaching term.
Assignment type Project
Duration 2 weeks to prepare
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content, structure and pedagogical approach

Recent technological advances in the likes of Artificial Intelligence (AI), autonomous agents, and digital platforms, have transformed business work practices, giving rise to novel forms of collaboration and/or innovation (crowdsourcing, gig economy, and remote work). Through these novel digitally-enabled forms of collaboration and innovation, conventional modes of value co-creation are being challenged and it is unclear as to what the future holds for business work practices in the digital age.


The course focuses on how digital technologies (e.g., AI and digital platforms) can be harnessed to support knowledge work processes, collaboration, and innovation within institutional and cultural contexts as well as the consequences associated with their usage.


The course will draw on an extensive body of research in organizational behavior to discuss how digital work practices should be managed, paying special attention to novel forms of collaboration and innovation that have been enabled by digital technologies.

Description of the teaching methods
The course will draw on a substantial body of research, present cases, give examples of real-life practices and involve areas of knowledge relevant to students. Teaching methods will include lectures, discussions of case studies, and hands-on project work as well as oral presentations by students.

During the course, students are expected to identify, read, and discuss at least 1-2 research articles that pertain to the management of digital work practices, but are not included in the reading list. Students will share their insights into these articles through in-class oral presentations.

For the project report, group work, virtual or otherwise, is encouraged for data collection and preliminary research on selected case(s) involving digital work practices. Students are expected to present their selected case(s) prior to the exam. More details will be provided during the course
Feedback during the teaching period
Students will receive feedback in relation to their assignments and group work during the course. Students are expected to participate actively in class discussions during the course. Students will also be required to give an oral presentation on the interim progress of their project report towards the end of the course and receive further feedback on it.
Student workload
Lectures and workshops 30 hours
Group work and assignments 40 hours
Preparation for lectures and workshops 60 hours
Preparation for exam 76 hours
Expected literature

extracts from:


Cusumano, M. A., Gawer, A., and Yoffie, D. B. The Business of Platforms: Strategy in the Age of Digital Competition, Innovation, and PowerHarper Business, 2019.

Lusch, R. F., and Nambisan, S. “Service Innovation: A Service-Dominant Logic Perspective,” MIS Quarterly (39:1), 2015, pp. 155-175.https:/​/​doi.org/​10.25300/​MISQ/​2015/​39.1.07

Majchrzak, A., and Malhotra, A. Unleashing the crowd: Collaborative solutions to wicked business and societal problemsUnleashing the Crowd: Collaborative Solutions to Wicked Business and Societal Problems, 2019.  https:/​/​doi.org/​10.1007/​978-3-030-25557-2

Möhlmann, M., Zalmanson, L., Henfridsson, O., and Gregory, R.W. ”Algorithmic Management of Work on Online Labor Platforms: When Matching Meets Control,” MIS Quarterly, 2020. (Forthcoming)  https:/​/​misq.org/​skin/​frontend/​default/​misq/​pdf/​Abstracts/​15333_RA_MohlmannHenfridssonAbstract.pdf

Newell, S., Robertson, M., Scarbrough, H., and Swan, J. (eds.): Managing Knowledge Work and Innovation, Palgrave Macmillan, 2009.

Razmerita, L., Wren, G., and Jain, L. (Eds.). Innovations in Knowledge Management: The Impact of Social Media,  Semantic Web and Cloud Computing, Springer, 2016.

Vargo, S. L., and Lusch, R. F. “Institutions and Axioms: An Extension and Update of Service-Dominant Logic,” Journal of the Academy of Marketing Science (44), 2016, pp. 5-23. https:/​/​doi.org/​10.1007/​s11747-015-0456-3 .

Last updated on 15-02-2021