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2020/2021  KAN-CINTO1017U  Advanced Strategic Information Management

English Title
Advanced Strategic Information Management

Course information
Language English
Course ECTS 7.5 ECTS
Type Mandatory offered as elective
Level Full Degree Master
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc/MSc in Business Administration and Information Systems, MSc
Course coordinator
  • Attila Marton - Department of Digitalisation
Main academic disciplines
  • Information technology
  • Organisation
  • Strategy
Teaching methods
  • Online teaching
Last updated on 22-06-2020

Relevant links
Learning objectives
By the end of the course students should demonstrate an ability to
  • describe concepts of digital ecosystems
  • elaborate on strategic approaches to digital ecosystems orchestration and illustrate them with examples
  • apply ecosystemic concepts to challenges of strategic information management
  • compare and contrast theories and concepts
  • assess and criticize the scope of theories and concepts as well as their relevance for practice
Examination
Advanced Strategic Information Management:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Written assignment
Duration Written product to be submitted on specified date and time.
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
Students can submit the same assignment or they can choose to submit a revised assignment.
Course content, structure and pedagogical approach

In today’s digital economy, information management has evolved into a strategic necessity for orchestrating radically complex and wide-reaching digital ecosystems. Hence, this course is not about how to program or manage databases for purposes of operational efficiency. Rather, we focus on alternative viewpoints on digital strategizing that are more appropriate for the challenges posed by an emerging digital world. To this effect, we focus on the notion of digital ecosystems by combining ecological and systemic thinking (e.g. resilience, self-organization) with key concepts of digitalization (e.g. platforms, digital innovation) into a contemporary framework of strategic information management. As a result, students will learn new approaches to digital strategizing in the 21st century and how they, as information ecologists, can orchestrate digital ecosystems in favour of sustainable growth and adaptive capacities rather than reckless blitzscaling.
Description of the teaching methods
Based on the principles of student-centred learning, the methods will be primarily geared towards self-directed learning, mixing pre-recorded mini-lectures with interactive discussions, quizzes, collaborative exercises and live podcasts.
Feedback during the teaching period
Students receive continuous feedback by attending online discussion fora held by the teacher and by solving quizzes to check their own progression. At the end, the course offers a series of workshops, in which students get feedback on their projects. Finally, the teacher is also approachable in their office hours.
Student workload
Lectures 24 hours
Workshops 6 hours
Preparation for Lectures 48 hours
Preparation for Workshops 14 hours
Preparation of Project Report 90 hours
Preparation of Exam 24 hours
Total 206 hours
Expected literature

This is just a suggestive list for inspiraton. Students are advised to find the final literature list on Canvas.

 

Benbya et al. (2020) Complexity and information systems research in the emerging digital world. MIS Quarterly 44(1): 1-17.

 

Holling (2001) Understanding the complexity of economic, ecological, and social systems. Ecosystems 4(5): 390-405.

 

Jacobides et al. (2018) Towards a theory of ecosystems. Strategic Management Journal 39(8): 2255-2276.

 

Kallinikos et al. (2013) The ambivalent ontology of digital artefacts. MIS Quarterly 37(2): 357-370.
Last updated on 22-06-2020