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  4. Next-generation IS research methods – towards a better understanding of complex and dynamic phenomena … and generative AI as the elephant in the room
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Next-generation IS research methods – towards a better understanding of complex and dynamic phenomena … and generative AI as the elephant in the room

Journal
Journal of Information Technology (JIT)
Type
journal article
Date Issued
2025-05-19
Author(s)
Ivo Blohm  
;
Miranda, Shaila
;
Ho Shuk Ying
;
Jan Marco Leimeister  
DOI
10.1177/02683962251340699
Research Team
IWI6
Abstract
Emerging phenomena like the increasing volume and variety of available data, machine learning techniques, and, most recently, Generative AI are reshaping our research practices, affording new research methods for testing and developing theory. In this editorial, we discuss our two major observations from running the ‘Next-generation IS Research Methods’ Special Issue: (1) the need for research methods that enhance our understanding of complex and dynamic phenomena and (2) Generative AI as (potential) productivity enhancer. We compile these observations into an organizing framework and discuss possibilities for applying Generative AI in the fields of qualitative, quantitative, and engaged research. We highlight challenges that might occur when applying Generative AI in research and shed light on the changing role of researchers in such settings of human–AI collaboration.
Language
English
Keywords
Qualitative research
quantitative research
engaged research
research methods
generative artificial intelligence
computational theory construction
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
SAGE Publications
Volume
40
Number
2
Start page
102
End page
121
Pages
20
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/124371
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

File(s)
Thumbnail Image
Name

JML_1047.pdf

Size

1.17 MB

Format

Adobe PDF

Checksum (MD5)

7e5b027a15954a77cfddf991ffe41477

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