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A power-responsibility equilibrium framework for fairness: Understanding consumers' implicit privacy concerns for location-based services

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  • Krishen, Anjala S.
  • Raschke, Robyn L.
  • Close, Angeline G.
  • Kachroo, Pushkin

Abstract

Location-based services rely on geospatial technologies that involve data that offer information of a prosocial nature – such as a nearby highway closure. The objective of this mixed method research is to examine consumers' concerns about privacy and fairness that pertain to these services. The basis for this research is the theory on the power-responsibility equilibrium. Study 1 qualitatively examines 332 comments; Study 2 uses a quantitative structural equation model with a sample of 291 non-students. Our findings indicate that fairness perceptions of privacy-related policies are enhanced when a consumer has a higher internal locus of control, higher attitude toward the communication, and lower level of privacy concern.

Suggested Citation

  • Krishen, Anjala S. & Raschke, Robyn L. & Close, Angeline G. & Kachroo, Pushkin, 2017. "A power-responsibility equilibrium framework for fairness: Understanding consumers' implicit privacy concerns for location-based services," Journal of Business Research, Elsevier, vol. 73(C), pages 20-29.
    • Handle: RePEc:eee:jbrese:v:73:y:2017:i:c:p:20-29
    DOI: 10.1016/j.jbusres.2016.12.002
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    7. Mwesiumo, Deodat & Halpern, Nigel & Budd, Thomas & Suau-Sanchez, Pere & Bråthen, Svein, 2021. "An exploratory and confirmatory composite analysis of a scale for measuring privacy concerns," Journal of Business Research, Elsevier, vol. 136(C), pages 63-75.
    8. Zia Ur Rehman & Bazid Khan & Kamran Shehzad & Shuja-Ul-Islam & Rudsada Kaewsaeng-On & Marina Kirilchuk, 2020. "The Moderating Role of Brand Reputation in Relationship of Individuals Privacy and Attitude towards Mobile Behavioral Advertisement: Case of Young Adult Consumers of Twin Cities," International Journal of Business and Economic Affairs (IJBEA), Sana N. Maswadeh, vol. 5(5), pages 218-230.
    9. Maria Petrescu & Anjala S. Krishen, 2018. "Novel retail technologies and marketing analytics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(3), pages 69-71, September.
    10. Fehrenbach, David & Herrando, Carolina, 2021. "The effect of customer-perceived value when paying for a product with personal data: A real-life experimental study," Journal of Business Research, Elsevier, vol. 137(C), pages 222-232.
    11. Rodríguez-Priego, Nuria & Porcu, Lucia & Kitchen, Philip J., 2022. "Sharing but caring: Location based mobile applications (LBMA) and privacy protection motivation," Journal of Business Research, Elsevier, vol. 140(C), pages 546-555.
    12. Maria Petrescu & Anjala S. Krishen, 2018. "Analyzing the analytics: data privacy concerns," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(2), pages 41-43, June.
    13. Jean Pfiffelmann & Nathalie Dens & Sébastien Soulez, 2020. "Personalized advertisements with integration of names and photographs: An eye-tracking experiment," Post-Print hal-02004907, HAL.
    14. Slepchuk, Alec N. & Milne, George R. & Swani, Kunal, 2022. "Overcoming privacy concerns in consumers’ use of health information technologies: A justice framework," Journal of Business Research, Elsevier, vol. 141(C), pages 782-793.
    15. Wang, Zi & Yuan, Ruizhi & Luo, Jun & Liu, Martin J. & Yannopoulou, Natalia, 2023. "Does personalized advertising have their best interests at heart? A quantitative study of narcissists’ SNS use among Generation Z consumers," Journal of Business Research, Elsevier, vol. 165(C).
    16. Kim, Yeolib & Kim, Seung Hyun & Peterson, Robert A. & Choi, Jeonghye, 2023. "Privacy concern and its consequences: A meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    17. Anjala S. Krishen & Maria Petrescu, 2018. "Analytics from our scholarly closets: the connections between data, information, and knowledge," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(1), pages 1-5, March.

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