2024/2025 KAN-CDSCV2401U Innovation and Strategy in the Digital Economy
English Title | |
Innovation and Strategy in the Digital Economy |
Course information |
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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 |
Max. participants | 120 |
Study board |
Master of Science (MSc) in Business Administration and Data
Science
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Course coordinator | |
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Teaching methods | |
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Last updated on 23-01-2024 |
Relevant links |
Learning objectives | ||||||||||||||||||||||
After successfully completing the course, the
student should be able to:
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Examination | ||||||||||||||||||||||
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Course content, structure and pedagogical approach | ||||||||||||||||||||||
This course will give students an introduction to central issues of innovation and strategy in the digital economy. It forms the background for the study of data in the business context. The growth of the digital economy is predicting a data rich future and a transformation of the business landscape with implications for existing firm, entrepreneurial ventures, and individual workers. In some of the most dynamic sectors of the modern economy, such as, apps for smartphones, video games, scientific and technical problems solving, Internet of Things, artificial intellegence (AI) technologies, companies’ overall performance already rely on data, setting requiring a whole new set of skills and organizational capabilities. The course will develop the conceptual foundations, frameworks and methods for analyzing the relationships between firms, crowds, AI, platforms and data. It introduces student to the process of digital transformation. The course gives students a systematic basis for assessing the economic potential of different sorts of data and organizational imperatives to unlocking this potential. The first part of the course introduces business models of the digital economy. The latter part will focus on organizing for innovation in a data rich business context. From this point of departure, the course will develop the conceptual foundations, frameworks, and methods for analyzing the relationships between innovation, strategy, and data in a digital context. The focus will be on how to manage and strategize, how existing organizations adapt to increasing digitization of business and development models. Topics will include:
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Description of the teaching methods | ||||||||||||||||||||||
The course will employ a variety of teaching forms, including lectures, interactive case based sessions, hands-on exercises, and guest lectures by practitioners. Some sessions will be face-to-face and some will be online. | ||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||
During sessions there will be an opportunity for feedback from professors and peers. | ||||||||||||||||||||||
Student workload | ||||||||||||||||||||||
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Further Information | ||||||||||||||||||||||
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Expected literature | ||||||||||||||||||||||
The literature can be changed before the semester starts. Students are advised to find the final literature on canvas before they buy any material.
Boudreau K., Jeppesen, LB., 2015, Unpaid Crowd Complementors: The Platform Network Effect Mirage, Strategic Management Journal
Boudreau, K., & Lakhani, K. (2009). How to manage outside innovation. MIT Sloan management review, 50(4), 69.
Chesbrough, H. W., & Appleyard, M. M. (2007). Open innovation and strategy. California Management review, 50(1), 57-76.
Dahlander Jeppesen Piezunka 2019 Define, Broadcast, Attract and Select: A Framework for Crowdsourcing, INSEAD Knowledge
Davenport, T. H. (2009). How to design smart business experiments. Harvard business review, 87(2), 68-76.
Goldfarb, Avi and Tucker, Catherine E., Digital Economics (August 2017). NBER Working Paper No. w23684.
Hagui, Andrei & Julian Wright (2020): When data creates competitive advantage… and when it doesn’t. Harvard Business Review, January-February 2020, pp. 94-101.
Iansiti, M., & Lakhani, K. (2020): Competing in the Age of AI. Harvard Business Review. January-February 2020, pp. 3-9.
Lambrecht, A. & Tucker, C. (2015): Can Big Data Protect a Firm from Competition? Available at SSRN: https://ssrn.com/abstract=2705530
Laursen, K., & Salter, A. (2006). Open for innovation: the role of openness in explaining innovation performance among UK manufacturing firms. Strategic management journal, 27(2), 131-150.
Mazzei, M. J., & Noble, D. (2017). Big data dreams: A framework for corporate strategy. Business Horizons, 60(3), 405-414.
Parker, van Alstyne and Choudary, 2016, Platform Revolution. Norton &Company, pp: 1-34
Thomke, Stefan, and Jim Manzi. "The Discipline of Business Experimentation." Harvard Business Review 92, no. 12 (December 2014): 70–79.
von Hippel, E. (2005) Democratizing Innovation Chapter 1. MIT Press, Introduction and Overview, in Democratizing Innovation, Cambridge MA: MIT Press: 1-18
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.
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