Self-quantification and consumer well-being: A meta-analytic review

被引:2
作者
Jain, Anuj [1 ]
Pradhan, Debasis [1 ]
Kuanr, Abhisek [2 ]
Singh, Shiwangi [3 ]
机构
[1] XLRI Xavier Sch Management, Circuit House Area East, Jamshedpur, India
[2] Univ Essex, Essex Business Sch, Wivenhoe Pk, Colchester, England
[3] Indian Inst Management, Ranchi, India
关键词
body image; consumer well-being; meta-analysis; responsible marketing; self-esteem; self-quantification; self-tracking; USER ACCEPTANCE; INFORMATION-TECHNOLOGY; FITNESS TECHNOLOGY; COLLEGE-STUDENTS; BODY-IMAGE; HEALTH; SERVICE; PERCEPTIONS; EXPERIENCES; ATTITUDE;
D O I
10.1002/mar.22141
中图分类号
F [经济];
学科分类号
02 ;
摘要
Self-quantification technology is increasingly and irrevocably transforming consumers' relationships with their own minds and bodies. However, existing research findings on the contribution of self-quantification to consumer well-being are disparate. Given the popularity of self-quantification technology among consumers in the post-pandemic era and its inherent transformative nature, it is surprising that this gap remains unaddressed. To resolve this inconsistency and to examine how and when self-quantification influences consumer well-being, we conduct a meta-analysis of consumer well-being in the context of self-quantification technology. Our findings reveal that self-quantification positively influences consumer well-being. However, self-quantification also negatively affects consumer well-being through body image and self-esteem. The systematic moderation effects of cultural dimensions (e.g., uncertainty avoidance and individualism), prior experience, data sharing, and sample characteristics on the relationship between self-quantification and consumer well-being are also confirmed. While uncertainty avoidance, prior experience, and data sharing accentuate the positive effects of self-quantification on consumer well-being, an individualistic culture attenuates this influence. This study contributes to the consumer well-being literature and extends objectification theory in the context of self-quantification. These findings will guide practitioners and policymakers in devising strategies and policies to allow self-quantification technology to be used in a way that enhances consumers' health and well-being.
引用
收藏
页码:514 / 538
页数:25
相关论文
共 129 条
[11]  
Berg M, 2017, DIGIT HEALTH, V3, DOI 10.1177/2055207617699767
[12]   Outperforming iBodies: A Conceptual Framework Integrating Body Performance Self-Tracking Technologies with Body Image and Eating Concerns [J].
Berry, Rachel A. ;
Rodgers, Rachel F. ;
Campagna, Jenna .
SEX ROLES, 2021, 85 (1-2) :1-12
[13]   Effectiveness of engagement initiatives across engagement platforms: A meta-analysis [J].
Blut, Markus ;
Kulikovskaja, Viktorija ;
Hubert, Marco ;
Brock, Christian ;
Grewal, Dhruv .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2023, 51 (05) :941-965
[14]   Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage [J].
Blut, Markus ;
Wang, Cheng .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2020, 48 (04) :649-669
[15]   Emotion tracking (vs. reporting) increases the persistence of positive (vs. negative) emotions [J].
Boghrati, Reihane ;
Sharif, Marissa A. ;
Yousefi, Siavash ;
Heydarian, Arsalan .
JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY, 2024, 110
[16]   ATTITUDE, SOCIAL INFLUENCE, PERSONAL NORM, AND INTENTION INTERACTIONS AS RELATED TO BRAND PURCHASE BEHAVIOR [J].
BONFIELD, EH .
JOURNAL OF MARKETING RESEARCH, 1974, 11 (04) :379-389
[17]  
Borenstein M., 2009, Introduction to meta-analysis
[18]   A basic introduction to fixed-effect and random-effects models for meta-analysis [J].
Borenstein, Michael ;
Hedges, Larry V. ;
Higgins, Julian P. T. ;
Rothstein, Hannah R. .
RESEARCH SYNTHESIS METHODS, 2010, 1 (02) :97-111
[19]   Advertising in a Quantified World: A Proposed Model of Consumer Trust, Attitude Toward Personalized Advertising And Outcome Expectancies [J].
Brinson, Nancy H. ;
Eastin, Matthew S. ;
Bright, Laura F. .
JOURNAL OF CURRENT ISSUES AND RESEARCH IN ADVERTISING, 2019, 40 (01) :54-71
[20]   Meta-analytic structural equation modeling: A two-stage approach [J].
Cheung, MWL ;
Chan, W .
PSYCHOLOGICAL METHODS, 2005, 10 (01) :40-64