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2024/2025  KAN-CCMVV2451U  Digital Strategy and Innovation

English Title
Digital Strategy and Innovation

Course information
Language English
Course ECTS 7.5 ECTS
Type Elective
Level Full Degree Master
Duration One Quarter
Start time of the course Second Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for cand.merc. and GMA (CM)
Course coordinator
  • Lars Bo Jeppesen - Department of Strategy and Innovation (SI)
Main academic disciplines
  • Information technology
  • Innovation
  • Strategy
Teaching methods
  • Blended learning
Last updated on 13-02-2024

Relevant links
Learning objectives
After successfully completing the course, the student should be able to:
  • Explain how digital changes, the availability of data, and artificial intellegence transform the business landscape.
  • Discuss relevant theories and explain their assumptions, as well as empirical evidence from the literature and their causal dynamics and processes.
  • Assess the role of digital innovation and strategy in organizations and specify success and failure factors
  • Discuss ethical issues of the digital economy as it applies to organizations and management of innovation and strategy.
Examination
Digital Strategy and Innovation:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 15 pages
Assignment type Written assignment
Release of assignment The Assignment is released in Digital Exam (DE) at exam start
Duration 48 hours to prepare
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Winter
Make-up exam/re-exam
Same examination form as the ordinary exam
*if the student fails the ordinary exam the course coordinator chooses whether the student will have to hand in a revised product for the re- take or a new project.
Course content, structure and pedagogical approach

This course will give students an introduction to central issues of strategy and innovation in the digital economy. It forms the background for the study of digital platforms, crowd-based innovation, artificial intelligence (AI) in the business context. The growth of the digital economy is predicting an AI and data-rich future, transforming the business landscape with implications for existing organization, entrepreneurial ventures, and individual workers.

 

In most sectors of the modern economy performance is increasingly reliant not only on data but also on the strategic use of AI, crowds and experimentation. This shift necessitates a new set of skills and organizational capabilities strategies and innovation approaches. The course will develop the conceptual foundations, frameworks, and methods for analyzing the relationships between firms, crowds, AI, and data. It introduces students to the process of digital transformation, emphasizing the role of AI, digital platforms, and crowd-based innovation.

 

The course then provides a basis for assessing the economic potential of different sorts of data, AI applications, innovation approaches and the organizational imperatives to unlocking this potential. The course explores strategies for organizing in this business context.

 
Description of the teaching methods
The course employs a blend of various teaching forms: lectures, interactive case-based sessions, hands-on exercises, and guest lectures. The course will consist of lectures and interactive cases aimed at decision-making and innovation strategy around challenges faced by companies in digital transformation, strategy, innovation, and AI.
Feedback during the teaching period
In in-class discussion of course literature and cases, which take up the bulk of the course, feedback is provided continuously during the literature and case analysis
Student workload
Teaching 30 hours
Preparation and exam 176 hours
Further Information
  • There may be an overlap between Digital Strategy and Innovation and the course Innovation and Strategy in the Digital Economy
Expected literature

Articles and Book Chapters.

 

Boudreau K., & Jeppesen, LB.,  2015, Unpaid Crowd Complementors: The Platform Network Effect Mirage, Strategic Management Journal

 

Iansiti,M., & Lakhani, K. (2020): Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Boston: Harvard Business Review Press, 2020

 

Lambrecht, A. & Tucker, C. (2015): Can Big Data Protect a Firm from Competition? Available at SSRN: https:/​/​ssrn.com/​abstract=2705530

 

Parker, van Alstyne & Choudary, 2016, Platform Revolution. Norton & Company

 

von Hippel, E., & Kaulartz, S. (2021). Next-generation consumer innovation search: Identifying early-stage need-solution pairs on the web. Research Policy, 50(8), 104056.

 

Zhu, F., and M. Iansiti. 2019 "Why Some Platforms Thrive and Others Don’t." Harvard Business Review

 

Cases:

Greenstein, Shane, Daniel Yue, Kerry Herman, and Sarah Gulick. "Hugging Face: Serving AI on a Platform." Harvard Business School Case 623-026, November 2022.

 

Iansiti, Marco, Karim R. Lakhani, Hannah Mayer, and Kerry Herman. "Moderna (A)." Harvard Business School Case 621-032, September 2020

 

Lakhani, Karim R., and Amy Klopfenstein. "VideaHealth: Building the AI Factory." Harvard Business School Case 621-021, March 2021.

 

 

 

 
Last updated on 13-02-2024