Information management
Introduction
This track is about information technology in the corporate context and the IT industry.
For the corporate context, business processes are highly dependent on the effective use of information technology. This results in high demands for availability, reliability, interoperability, flexibility and maintainability of information technology applications in organizational contexts. Consequently, the questions arise like: How to manage information systems development projects as organizational change and improvement processes; What is the strategic and operational value of new technological opportunities, like block chain, big data and data mining, for achieving business goals? How can we identify and prevent business risks of information system security failures?
The subjects of this track are organized along the strategic, process, and infrastructure layers of a business enterprise, and can have an intra-organizational (e.g., impact in management and work), inter-organizational (e.g., impact on organizational relations and networks), and extra-organizational (e.g., impact on markets and the IT industry) domain focus.
Member of the BMS High-tech Business and Entrepreneurship department, especially the Business Information Systems research group, offer multiple projects at these different business enterprise layers and domains where students can choose among on the first day of this module. The student will be allocated to one supervisor and one project by the track coordinator, and the student will work in an apprentice companion relationship with the supervisor and via this learn to deliver a contribution to the supervisor’s current research project.
The management of IT in corporate contexts and management in the IT industry require a careful balance of information technological and business management knowledge that is the core of especially the Business & IT-program. The research that students can do in this track can be theoretical, empirical, experimental, design science, and policy-oriented, although given the short time for this study empirical and experimental studies are less likely to be done.
Suggested Topics
Example research topics are the following:
Strategy:
Information value for disruption management in Supply chains
Serious game against obesities and diabetes
Business processes:
AI ethics in business processes
Drug trafficking on the dark web
Data usage in logistics
E-sports decision support systems
Collaborative learning in action
Infrastructure:
Green datamining
E-waste (databerg, decision, hardware, blockchain)
Data catalogue platforms
The topics are supervised by the (IE)BIS group of BMS. For further information on the content of this track, you may contact the track chair: Fons Wijnhoven