Author
Listed:
- Tanya Singh
(Information Systems, Lally School of Management, Rensselaer Polytechnic Institute, Troy, New York 12180)
- Jui Ramaprasad
(Decision, Operations, and Information Technologies, Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)
- Kartik K. Ganju
(Department of Information and Decision Sciences, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota 55455)
Abstract
We examine if performing a programming task alters a decision maker’s response to a well-known moral dilemma: the trolley problem. In the problem, the decision maker must choose between inaction that sacrifices multiple lives or a deliberate action that changes the course of events and sacrifices a different life. We argue that computer programming requires structured, rule-based cognition, resulting in a deliberative mindset. This mindset leads decision makers to prefer sacrificing a single life to save multiple lives, known as the utilitarian choice to the moral dilemma. Through a series of experiments, we find that performing a programming task (i) increases the prevalence of utilitarian choices on the trolley problem and (ii) this shift is exclusive to novice programmers. We validate this effect with more complex programming tasks. We examine two interventions (a simple nudge and a time delay between programming and the moral dilemma) that mitigate this effect. These results contribute to our understanding of how performing programming tasks impact ethical decision making. We discuss the implications of our results for organizations and society.
Suggested Citation
Tanya Singh & Jui Ramaprasad & Kartik K. Ganju, 2026.
"Programming Tasks Impact Responses to Moral Dilemmas for Novice Programmers,"
Information Systems Research, INFORMS, vol. 37(2), pages 948-962, June.
Handle:
RePEc:inm:orisre:v:37:y:2026:i:2:p:948-962
DOI: 10.1287/isre.2022.0376
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