Research-based digitalization

The course will give insight into the most important areas within empirical research methods in IT (Information Technologies) and digitalization. Approaches to empirical research, research design, data generation and analysis will be covered. The course gives insight in the most used empirical research methods: Case studies, design science, surveys, and experiments. The course introduces research ethics and managing user data, writing and reviewing research articles, and doing peer reviews.

Knowledge: The candidate will acquire knowledge of:

• Empirical research in digitalization.
• The main principles for designing empirical research studies.
• The main principles for selecting and applying data generation and analysis methods.
• Ethical issues related to empirical research in digitalization, and how to address them.
• Best practices for reporting research results.

Skills: The candidate will acquire skilled on:

• Planning empirical research projects.
• Ethically conducting empirical research projects.
• Evaluating empirical research.
• Reporting, presenting, and otherwise disseminating research results.

General competence: The candidate will get competence on:

• Critically evaluate the quality of research studies in digitalization.
• Conduct empirical research studies.

Seminars, self-study, group-based and individual assignments.

Student groups will conduct a complete cycle of research, including planning, data generation and analysis, paper writing and revision, and dissemination.

Some of the activities happen in predefined dates and require personal attendance by students (compulsory assignments). See Canvas for information on specific dates for these.