Haste Makes Waste: How Faster Responses after Data Collection Trigger Consumer Privacy Concerns and Reduce Positive Reactions

Empowered by advances in artificial intelligence (AI) and data technologies, service personnel can deliver highly personalized communication using automatically acquired consumer data. However, as firms increasingly rely on such data to enhance service efficiency, consumers’ privacy concerns have become more salient. Drawing on the persuasion knowledge model, this research integrates field data with four controlled experiments to examine how response speed following data acquisition influences consumer reactions. We find that faster (vs. slower) responses, defined as those delivered moderately earlier (vs. later) than consumers’ normative expectations in comparable service contexts, attenuate consumers’ positive reactions to marketing communications. This effect is driven by a serial mediation involving perceived firm eagerness to use information and privacy concerns, highlighting privacy concerns as one of the key psychological mechanisms shaping consumer reactions. Importantly, this negative effect is attenuated when firms provide prewarning messages about upcoming data-based communication, when service involvement is low, or in service recovery contexts. These findings suggest that response speed should be managed strategically. While overly fast responses may backfire in high-involvement or routine services, combining fast responses with prewarning strategies can help firms balance efficiency and privacy perceptions in digital service environments.

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Publication Details

Journal
Journal of Service Research
Published
2026-06-12
DOI
https://doi.org/10.1177/10946705261447627
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
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article

Haste Makes Waste: How Faster Responses after Data Collection Trigger Consumer Privacy Concerns and Reduce Positive Reactions

H Wang, Linxiang Lv, Tao He, Lingpiao Wang
Journal of Service Research
Privacy, Security, and Data Protection
article

Haste Makes Waste: How Faster Responses after Data Collection Trigger Consumer Privacy Concerns and Reduce Positive Reactions

H Wang, Linxiang Lv, Tao He, Lingpiao Wang
article en

Abstract

Empowered by advances in artificial intelligence (AI) and data technologies, service personnel can deliver highly personalized communication using automatically acquired consumer data. However, as firms increasingly rely on such data to enhance service efficiency, consumers’ privacy concerns have become more salient. Drawing on the persuasion knowledge model, this research integrates field data with four controlled experiments to examine how response speed following data acquisition influences consumer reactions. We find that faster (vs. slower) responses, defined as those delivered moderately earlier (vs. later) than consumers’ normative expectations in comparable service contexts, attenuate consumers’ positive reactions to marketing communications. This effect is driven by a serial mediation involving perceived firm eagerness to use information and privacy concerns, highlighting privacy concerns as one of the key psychological mechanisms shaping consumer reactions. Importantly, this negative effect is attenuated when firms provide prewarning messages about upcoming data-based communication, when service involvement is low, or in service recovery contexts. These findings suggest that response speed should be managed strategically. While overly fast responses may backfire in high-involvement or routine services, combining fast responses with prewarning strategies can help firms balance efficiency and privacy perceptions in digital service environments.

Journal of Service Research
Changsha University of Science and Technology (CN), Virginia Tech (US), Northeastern University (CN)
Openalex Percentile: Top 3%
Privacy, Security, and Data Protection
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Haste Makes Waste: How Faster Responses after Data Collection Trigger Consumer Privacy Concerns and Reduce Positive Reactions — H Wang, Linxiang Lv, et al. · Journal of Service Research (2026) | TGRS Research Map | TGRS