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Paper Type
Complete
Description
Feedback on task performance is a key component for improvements and learning for many behaviors. Although the IS literature has provided relevant individual contributions on the design, outcomes, and mechanisms of performance feedback, there exists no overarching conceptual framework or theory to integrate those results for a holistic explanation of behavior change through IS-enabled feedback. Further, an overview of the existing literature to facilitate theory development is still missing. This paper presents a systematic literature review on performance feedback in the IS discipline by reviewing 23 articles from high-quality journals. The review provides an overview on the research landscape by coding characteristics of feedback systems and outcomes of the research. It highlights four behavioral mechanisms that performance feedback influences to improve task performance (attention, behavioral control, personal norms, and perceived social norms) and concludes by presenting possible directions for future research.
Paper Number
1367
Recommended Citation
Stingl, Carlo, "Using Digital Performance Feedback for Behavior Change: A Review" (2023). AMCIS 2023 Proceedings. 5.
https://aisel.aisnet.org/amcis2023/meta_res/meta_res/5
Using Digital Performance Feedback for Behavior Change: A Review
Feedback on task performance is a key component for improvements and learning for many behaviors. Although the IS literature has provided relevant individual contributions on the design, outcomes, and mechanisms of performance feedback, there exists no overarching conceptual framework or theory to integrate those results for a holistic explanation of behavior change through IS-enabled feedback. Further, an overview of the existing literature to facilitate theory development is still missing. This paper presents a systematic literature review on performance feedback in the IS discipline by reviewing 23 articles from high-quality journals. The review provides an overview on the research landscape by coding characteristics of feedback systems and outcomes of the research. It highlights four behavioral mechanisms that performance feedback influences to improve task performance (attention, behavioral control, personal norms, and perceived social norms) and concludes by presenting possible directions for future research.
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