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Perceived quality factors of location-based apps on trust, perceived privacy risk, and continuous usage intention

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  • Edward Shih-Tse Wang
  • Ruenn-Lien Lin

Abstract

Numerous location-based services (LBS) studies have suggested that the risk of disclosing personal privacy hinders consumers from adopting LBS, whereas scant attention has focused on clarifying how to mitigate the perceived privacy risk of using LBS. This quantitative study focuses on the effects of consumer quality perceptions (i.e. information quality, system quality, and service quality) on their trust in LBS, which consequently affects perceived privacy risk and continued usage intention towards LBS. Research data were collected through a market survey website; 1399 valid questionnaires were collected. Structural equation modelling analysis was applied to the data. The results revealed that information quality, system quality, and service quality were positively related to perceived trust. Perceived trust also correlated negatively with perceived privacy risk, but positively with continued usage intention. A managerial implication drawn from the findings is that LBS providers should develop more useful user interfaces or provide timely, personalised services to reduce perceived privacy risk and strengthen LBS continued usage intention.

Suggested Citation

  • Edward Shih-Tse Wang & Ruenn-Lien Lin, 2017. "Perceived quality factors of location-based apps on trust, perceived privacy risk, and continuous usage intention," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(1), pages 2-10, January.
    • Handle: RePEc:taf:tbitxx:v:36:y:2017:i:1:p:2-10
    DOI: 10.1080/0144929X.2016.1143033
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    Cited by:

    1. G, Sowmya & Chakraborty, Debarun & Polisetty, Aruna & Jain, Ravi Kumar, 2024. "Exploring the adoption patterns of matrimonial apps: An analysis of user gratifications," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    2. Niu, Ben & Mvondo, Gustave Florentin Nkoulou, 2024. "I Am ChatGPT, the ultimate AI Chatbot! Investigating the determinants of users' loyalty and ethical usage concerns of ChatGPT," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    3. Khan, Shah Khalid & Shiwakoti, Nirajan & Stasinopoulos, Peter & Chen, Yilun & Warren, Matthew, 2024. "The impact of perceived cyber-risks on automated vehicle acceptance: Insights from a survey of participants from the United States, the United Kingdom, New Zealand, and Australia," Transport Policy, Elsevier, vol. 152(C), pages 87-101.
    4. Perengki Susanto & Mohammad Enamul Hoque & Verselly Nisaa & Md Asadul Islam & Yusniza Kamarulzaman, 2023. "Predicting m-Commerce Continuance Intention and Price Sensitivity in Indonesia by Integrating of Expectation-Confirmation and Post-acceptance Model," SAGE Open, , vol. 13(3), pages 21582440231, July.
    5. Fong-Jia Wang & Chia-Huei Hsiao & Wei-Hsuan Shih & Weisheng Chiu, 2023. "Impacts of Price and Quality Perceptions on Individuals’ Intention to Participate in Marathon Events: Mediating Role of Perceived Value," SAGE Open, , vol. 13(2), pages 21582440231, June.
    6. Kim, Yaeri & Seok, Junhee & Roh, Taewoo, 2023. "The linkage between quality of information systems and the impact of trust-based privacy on behavioral outcomes in unmanned convenience store: Moderating effect of gender and experience," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

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