Micro-randomized trials in Information Systems research: An experimental method for advancing knowledge about our dynamic and digitalized world

The increasing ubiquity of individualized digital devices expands the scope of Information Systems (IS) research and offers novel opportunities for investigating and influencing individuals’ intentions, cognitions, and behavior. Based on these technological advancements, behavioral science researchers have started to develop experimental methods that allow for rigorously investigating dynamic phenomena in our digitalized world. We introduce an experimental design, called a micro-randomized trial (MRT), and propose that it is widely applicable in IS research for examining complex and dynamic IS research phenomena. MRTs allow for analyzing causalities and testing theories with dynamic components by considering how time-varying personal and contextual factors influence an experimental treatment’s efficacy over time. The resulting insights can be leveraged to refine theories, improve IS design, influence users’ cognitions and intentions, and steer user behavior. This paper motivates the relevance of the MRT experimental design for IS research, equips interested IS researchers with the required knowledge to conduct MRTs, and demonstrates how MRTs can be deployed to advance IS knowledge by achieving research goals that until now, given the standard IS method assortment, could not be properly addressed.

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Publication Details

Journal
Journal of Information Technology
Published
2024-08-20
DOI
https://doi.org/10.1177/02683962241280287
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53

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article

Micro-randomized trials in Information Systems research: An experimental method for advancing knowledge about our dynamic and digitalized world

Armin Heinzl, Mechthild Pieper, Monica Fallon
1 citations
Journal of Information Technology
Big Data and Business Intelligence
0.53
article

Micro-randomized trials in Information Systems research: An experimental method for advancing knowledge about our dynamic and digitalized world

Armin Heinzl, Mechthild Pieper, Monica Fallon
article en
1 citations

Abstract

The increasing ubiquity of individualized digital devices expands the scope of Information Systems (IS) research and offers novel opportunities for investigating and influencing individuals’ intentions, cognitions, and behavior. Based on these technological advancements, behavioral science researchers have started to develop experimental methods that allow for rigorously investigating dynamic phenomena in our digitalized world. We introduce an experimental design, called a micro-randomized trial (MRT), and propose that it is widely applicable in IS research for examining complex and dynamic IS research phenomena. MRTs allow for analyzing causalities and testing theories with dynamic components by considering how time-varying personal and contextual factors influence an experimental treatment’s efficacy over time. The resulting insights can be leveraged to refine theories, improve IS design, influence users’ cognitions and intentions, and steer user behavior. This paper motivates the relevance of the MRT experimental design for IS research, equips interested IS researchers with the required knowledge to conduct MRTs, and demonstrates how MRTs can be deployed to advance IS knowledge by achieving research goals that until now, given the standard IS method assortment, could not be properly addressed.

Journal of Information TechnologyVol. 40(2)
University of Mannheim (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 27%
Big Data and Business Intelligence
0.53
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