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2020/2021  KAN-CCMVV3017U  Competing on Social Networks

English Title
Competing on Social Networks

Course information

Language English
Course ECTS 7.5 ECTS
Type Elective
Level Full Degree Master
Duration One Quarter
Start time of the course Fourth Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 100
Study board
Study Board for MSc in Economics and Business Administration
Course coordinator
  • Marie Louise Mors - Department of Strategy and Innovation (SI)
Main academic disciplines
  • Information technology
  • Organisation
  • Strategy
Teaching methods
  • Blended learning
Last updated on 05-10-2020

Relevant links

Learning objectives
  • The student should be able to explain the main theoretical concepts of the course
  • The student should be able to apply the correct concept to a given problem
  • The student should be able to discuss how the theory relates to a given issue
  • The student should be able to describe the strengths and weaknesses of the different theories
Competing on Social Networks:
Exam ECTS 7,5
Examination form Oral exam based on written product

In order to participate in the oral exam, the written product must be handed in before the oral exam; by the set deadline. The grade is based on an overall assessment of the written product and the individual oral performance.
Individual or group exam Individual exam
Size of written product Max. 5 pages
Assignment type Synopsis
Written product to be submitted on specified date and time.
20 min. per student, including examiners' discussion of grade, and informing plus explaining the grade
Grading scale 7-point grading scale
Examiner(s) Internal examiner and second internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content, structure and pedagogical approach

This course aims at giving the students an introduction to the basic concepts and principles of social network theory and analysis. The course will also focus on the practical application and use of these concepts. The course is therefore organized according to four main themes:


  1. Introduction to the basic theory and concepts of network theory
  2. Introduction to basic network analysis
  3. Practical application in a firm setting: How can firms utilize and manage their networks?
  4. Practical application for the individual: How can you manage and utilize your professional network?



The course will take place over 10 sessions of three hours and the pedagogical method includes:

  • Lecturing
  • Case-based analysis
  • 1 or 2 Guest speakers from industry
  • In-class network exercises
  • Individual and group assignments
Description of the teaching methods
Case-based analysis
1 or 2 Guest speakers from industry
In-class network exercises
Individual and group assignments
Feedback during the teaching period
Office hours
Student workload
Teaching 30 hours
Preparation 116 hours
Exam 60 hours
Expected literature

Baker and Schumm (1992): Introduction to network analysis for managers


Baker (2000) Chapter 1 in Achieving Success Through Social Capital


Krackhardt and Hanson (1993): The Company Behind the Charts


Nohria (1994): Is a network perspective a useful way of studying organizations


Granovetter (1994): Problems of explanation in economic sociology


Lynch, S. E., Mors, M. L. 2019. Strategy implementation and organizational change: How formal reorganization affects professional networks. Long Range Planning, 52: 255-270.


Karim, S., Kaul, A. 2015. Structural recombination and innovation: Unlocking intra-organizational knowledge synergy through structural change. Organization Science, 26: 439-455.


Tasselli, S., Kilduff, M. 2018. When brokerage between friendship cliques endangers trust: A personality-network fit perspective. Academy of Management Journal, 61: 802-825.


Tröster, C., et al. 2019. The co-evolution of social networks and thoughts of quitting. Academy of Management Journal, 62: 22-43.


Brands, R. A., Menges, J. I., Kilduff, M. 2015. The leader-in-social-network schema: Perceptions of network structure affect gendered attributions of charisma. Organization Science, 26: 1210-1225.

Last updated on 05-10-2020