The duality of science: Knowledge in information systems research

2020 ◽  
pp. 026839622094571
Author(s):  
Alan R Hevner

Rigorous research in Information Systems requires an understanding of how scientific foundations drive both the process and outcome. This science duality addresses the effective application of the scientific method (process) as well as the advance of knowledge (outcome) from the research project. This commentary responds to Siponen and Klaavuniemi’s paper with a focus on the uses of knowledge in Information Systems research.

Author(s):  
Slinger Jansen

Even though information systems is a maturing research area, information systems case study reports generally lack extensive method descriptions, validity defense, and are rarely conducted within a multicase research project. This reduces the ability to build theory in information systems research using case study reports. In this chapter we offer guidelines, examples, and improvements for multicase studies. If information system researchers stick to these guidelines, case study reports and papers will get published more often, improving the rapidly maturing research area of information systems.


Author(s):  
Tanya McGill

This chapter reports on an approach to getting information systems research students started. The approach involves beginning research students undertaking a structured group research project in which the instructor is an active participant. The major purpose of this group project is to provide a gentle, supportive, structured introduction to information systems research. This approach benefits students by ensuring that they have participated in a complete research project before they have to assume complete responsibility for their first large individual project. The chapter discusses the use of this approach at an Australian university. In general, students have participated well, learning from their own experiences and the experiences of others in the group.


Author(s):  
Charlotte P. Lee ◽  
Kjeld Schmidt

The study of computing infrastructures has grown significantly due to the rapid proliferation and ubiquity of large-scale IT-based installations. At the same time, recognition has also grown of the usefulness of such studies as a means for understanding computing infrastructures as material complements of practical action. Subsequently the concept of “infrastructure” (or “information infrastructures,” “cyberinfrastructures,” and “infrastructuring”) has gained increasing importance in the area of Computer-Supported Cooperative Work (CSCW) as well as in neighboring areas such as Information Systems research (IS) and Science and Technology Studies (STS). However, as such studies have unfolded, the very concept of “infrastructure” is being applied in different discourses, for different purposes, in myriad different senses. Consequently, the concept of “infrastructure” has become increasingly muddled and needs clarification. The chapter presents a critical investigation of the vicissitudes of the concept of “infrastructure” over the last 35 years.


1997 ◽  
Vol 26 (4) ◽  
pp. 69-74
Author(s):  
Sushil Jajodia ◽  
Daniel Barbará ◽  
Alex Brodsky ◽  
Larry Kerschberg ◽  
Ami Motro ◽  
...  

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