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Sharing but caring: Location based mobile applications (LBMA) and privacy protection motivation

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  • Rodríguez-Priego, Nuria
  • Porcu, Lucia
  • Kitchen, Philip J.

Abstract

Location based mobile applications (LBMA) are developing rapidly with the increasing adoption of smartphones. These applications advantage userś location to provide products or services based on information obtained from their smart devices. However, implementation and execution of these services may raise userś privacy concerns related to sensitive information being handled. In this context, this paper examines the factors that motivate users and lead them to protect their privacy while using LBMA. It also considers potential benefits they could encounter and thus enable their privacy trade. The model proposed is based on Protection Motivation Theory (PMT) and tested through a variance-based Structural Equations Modelling approach. Data were obtained through an online survey with 820 participants. Findings reveal that perceived severity, perceived vulnerability and self-efficacy exert a positive effect on the intention of privacy protection, which in turn is found to be positively related to the behavior of protecting privacy.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jbrese:v:140:y:2022:i:c:p:546-555
    DOI: 10.1016/j.jbusres.2021.11.022
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    References listed on IDEAS

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    1. Chang, Shuchih Ernest & Shen, Wei-Cheng & Liu, Anne Yenching, 2016. "Why mobile users trust smartphone social networking services? A PLS-SEM approach," Journal of Business Research, Elsevier, vol. 69(11), pages 4890-4895.
    2. Hsieh, Jung-Kuei, 2020. "The effects of transforming mobile services into mobile promotions," Journal of Business Research, Elsevier, vol. 121(C), pages 195-208.
    3. Gyeongcheol Cho & Heungsun Hwang & Marko Sarstedt & Christian M. Ringle, 2020. "Cutoff criteria for overall model fit indexes in generalized structured component analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(4), pages 189-202, December.
    4. 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.
    5. Tunner, John Jr. & Day, Ellen & Crask, Melvin R., 1989. "Protection motivation theory : An extension of fear appeals theory in communication," Journal of Business Research, Elsevier, vol. 19(4), pages 267-276, December.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Wang, Tien & Duong, Trong Danh & Chen, Charlie C., 2016. "Intention to disclose personal information via mobile applications: A privacy calculus perspective," International Journal of Information Management, Elsevier, vol. 36(4), pages 531-542.
    8. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    9. Eppright, David R. & Tanner, John Jr. & Hunt, James B., 1994. "Knowledge and the ordered protection motivation model: Tools for preventing AIDS," Journal of Business Research, Elsevier, vol. 30(1), pages 13-24, May.
    10. Teodor Sommestad & Henrik Karlzén & Jonas Hallberg, 2015. "A Meta-Analysis of Studies on Protection Motivation Theory and Information Security Behaviour," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 9(1), pages 26-46, January.
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    Cited by:

    1. Pal, Shounak & Biswas, Baidyanath & Gupta, Rohit & Kumar, Ajay & Gupta, Shivam, 2023. "Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach," Journal of Business Research, Elsevier, vol. 156(C).
    2. Mwesiumo, Deodat & Halpern, Nigel & Bråthen, Svein & Budd, Thomas & Suau-Sanchez, Pere, 2023. "Perceived benefits as a driver and necessary condition for the willingness of air passengers to provide personal data for non-mandatory digital services at airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    3. Rodríguez-Priego, Nuria & Porcu, Lucia & Prados Peña, María Belén & Crespo Almendros, Esmeralda, 2023. "Perceived customer care and privacy protection behavior: The mediating role of trust in self-disclosure," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).

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