Digital Transformation in the Service Industries (BDS100)
This course gives an introduction and overview over successful and less successful digital transformation processes in the service industries. The course will give insights and understandings that are present in the development of an integrated and phased approach to digital transformation. It provides a framework for how service companies continually build the competencies, capabilities and momentum required to establish and sustain as a digital business actor.
The course will focus how digital transformation is helpful in managing the organizational transformations in the form of people and processes. Thereby how to define and recognize disruption in its various forms with the most common disruption strategies. Further, it will introduce the legal and ethical considerations that surround digital business practices like privacy and data protection. Finally, this course intends to give the students a clear understanding of how machine learning algorithms can contribute to make better decisions that involve complex and incomplete data by engaging students in peer discussions that will be moderated by the teacher and industry facilitators.
Course description for study year 2024-2025. Please note that changes may occur.
Course code
BDS100
Version
1
Credits (ECTS)
10
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
Norwegian
Content
Module 1: Introduction and overview
Module 2: Opportunities and challenges for digital transformation
Module 3: The role of data and data ownership
Module 4: The process of digital transformation
Module 5: Digital business models in the service industries.
Module 6: People and the organization
Module 7: Technology and policy
Module 8: Conclusion and future developments.
Learning outcome
Knowledge
The candidate
a. Has broad knowledge on how digital transformation may be helpful in managing the organizational
transformations in the form of people and processes
b. Knows how to define and recognize disruption in its various forms by the most common disruption strategies
c. Has knowledge of how to navigate the legal and ethical considerations that surround digital business practices, especially privacy and data protection
Skills
The candidate
a. Can explain how machine learning algorithms can contribute to make better decisions that involve complex and incomplete data.
b. Can recognize challenges associated with digital service business platforms and strategic thinking behind such platforms.
General competences
The candidates will
a. Learn to differentiate between successful and unsuccessful digital platforms, and why some incumbents are unable to adapt to disruption.
b. can exchange opinions and experiences with others with a background in the field, thereby contributing to the development of good practice.
c. is familiar with new thinking and innovation processes in the field of digital service development.
Required prerequisite knowledge
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Final closed book exam | 1/1 | 4 Hours | Letter grades |
Coursework requirements
Participation in peer discussions that will be moderated by course facilitators, and solidify concepts via case studies, assignments, and quizzes.
Complete a capstone project at the end of the course that will address you to a real-world challenge.