 Self-Quantification of Services: Cost of Real-Time FeedbackKyoung Tae Huh, Youseok Lee and Sang-Hoon Kim Journal of Business Research, 2023, vol. 164, issue C Abstract: Self-quantification (i.e., the process of tracking personal data) is increasingly becoming a prevalent feature in consumer products and services. This research aims to contribute to the understanding of self-quantification by revealing that some of its potentially negative effects can be attributed to its nature to constantly provide real-time feedback (i.e., measurement) of the activity’s progress. Despite the intuitive reasoning that more feedback is generally better, findings show that real-time (vs. delayed) feedback can undermine the experience of flow, subsequently reducing the perceived effectiveness of the service. Furthermore, the results demonstrate that the holistic manner in which individuals attend to contextual information plays a crucial role in determining the effect of feedback frequency. Thus, the current research compares two forms of self-quantification with different feedback frequencies (delayed vs. real-time) to demonstrate its significance on the perception of service’s effectiveness via flow depending on the individual’s cognitive styles. Keywords: Self-quantification; Feedback frequency; Flow; Perceived effectiveness (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:164:y:2023:i:c:s0148296323003053 DOI: 10.1016/j.jbusres.2023.113947 Access Statistics for this article Journal of Business Research is currently edited by A. G. Woodside More articles in Journal of Business Research from Elsevier |
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