2025/2026 BA-BSEMO2583U Managing Coding in Service Management
English Title | |
Managing Coding in Service Management |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Mandatory |
Level | Bachelor |
Duration | One Quarter |
Start time of the course | Third Quarter |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Study Board for Service and Markets
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Course coordinator | |
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Main academic disciplines | |
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Teaching methods | |
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Last updated on 26-06-2025 |
Relevant links |
Learning objectives | ||||||||||||||||||||||||
After completing this course, students should be
able to:
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Examination | ||||||||||||||||||||||||
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Description of activities | ||||||||||||||||||||||||
A combination of
assignment and presentation: The students will prepare and
present an assignment in class. The presentation will form the
basis of a class discussion and students will receive critique and
feedback from the teacher.
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||
All digital services originate in coding. Understanding coding and what it does is central to managing digital services. This course provides an overview of the most used coding languages (e.g., Python, Java and JavaScript, C/C++) and how and where coding is used in creating digital services. We will look into the history of coding, recent developments, and the challenges in both creating and managing coding to make it flexible and protect it from competitors and hacking. The idea is for the students to understand the basics of coding and how it affects managing digital services, not to become experts in coding. While some hands-on coding will be a part of the course, emphasis is on the managerial aspects of coding.
The course will cover:
By the end of the course, students will:
Understand the importance of coding in creating and managing digital services |
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Research-based teaching | ||||||||||||||||||||||||
CBS’ programmes and teaching are research-based. The following
types of research-based knowledge and research-like activities are
included in this course:
Research-based knowledge
Research-like activities
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Description of the teaching methods | ||||||||||||||||||||||||
The course includes lectures, case discussions,
presentations and exercises.
• Lectures, physical or pre-recorded will cover coding fundamentals, historical context, and theoretical models. • Exercises will focus on discussions, case studies, and applications of coding in digital service management. • Students will work in groups to analyze coding-related case studies and receive feedback. • Group activities will encourage participation and real-world problem-solving. |
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Feedback during the teaching period | ||||||||||||||||||||||||
Feedback During the Teaching Period:
Students will receive feedback in multiple ways: • During lectures, through interaction with the teacher. • During exercises, including Q&A sessions about the lecture. • From case presentation feedback during exercises. |
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Student workload | ||||||||||||||||||||||||
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Expected literature | ||||||||||||||||||||||||
Wirtz, J., Kunz, W. H., & Paluch, S. (2021). "The far-reaching impact of transformative technologies on service management: The role of AI and robotics." Journal of Service Research, 24(4), 514–532.
Holmlund, M., Van Vaerenbergh, Y., Ciuchita, R., & Yrjölä, M. (2020). "Digital platforms as service ecosystems: A relational view." Journal of Business Research, 115, 278–288.
Rha, J. S., & Lee, J. (2022). "Digital transformation trends in service industries." Service Business, 16(4), 1105–1137.
Sjödin, D., Parida, V., Kohtamäki, M., & Wincent, J. (2020). "An agile co-creation process for digital servitization: A micro-service innovation approach." Journal of Business Research, 112, 478–491.
Boudreau, K. J., & Lakhani, K. R. (2016). Innovation experiments: Researching technical advance, knowledge production, and the design of supporting institutions. Management Science, 62(6), 1505–1518.
Mithas, S., Tafti, A., & Mitchell, W. (2015). How a firm’s competitive environment and digital strategic posture influence digital business strategy. MIS Quarterly, 39(2), 511–536.
Lee, G., & Xia, W. (2016). Toward agile: An integrated analysis of quantitative and qualitative field data on software development agility. MIS Quarterly, 40(1), 87–114.
Gemino, A., Reich, B. H., & Sauer, C. (2015). A temporal model of information technology project performance. Journal of Management Information Systems, 32(3), 174–207.
Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234–246.
Wirtz, B. W., Weyerer, J. C., & Sturm, B. J. (2020). The impact of digital transformation on service management: Insights from the public sector. Journal of Service Management, 31(4), 637–657.
Piccarozzi, M., Aquilani, B., & Gatti, C. (2018). Industry 4.0 in management studies: A systematic literature review. Sustainability, 10(10), 3821.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1–21. |