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Why do people want to use location-based application for emergency situations? The extension of UTAUT perspectives

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  • Ayuning Budi, Nur Fitriah
  • Adnan, Hafizh Rafizal
  • Firmansyah, Feri
  • Hidayanto, Achmad Nizar
  • Kurnia, Sherah
  • Purwandari, Betty

Abstract

This study aims to determine the factors that influence user intention to use location-based emergency applications. The Unified Theory of Acceptance and Use of Technology (UTAUT) is used as a fundamental theory by adding other relevant variables: trust, privacy concern, and fear of crime. Data were collected through questionnaires distributed to the users of the X-Igent Panic Button application. A total of 348 data were collected online using random sampling and processed using structural equation modeling. This study concludes that this application adoption's determinant factors are performance expectancy, trust, social influence, fear of crime, and collection as privacy concerns. These factors become significant predictors of behavioral intention by explaining about 60.5% of the total variation. The study also concludes that trust in services or service providers has the most significant positive impact on the behavioral intention to use location-based mobile applications in emergencies.

Suggested Citation

  • Ayuning Budi, Nur Fitriah & Adnan, Hafizh Rafizal & Firmansyah, Feri & Hidayanto, Achmad Nizar & Kurnia, Sherah & Purwandari, Betty, 2021. "Why do people want to use location-based application for emergency situations? The extension of UTAUT perspectives," Technology in Society, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:teinso:v:65:y:2021:i:c:s0160791x20312835
    DOI: 10.1016/j.techsoc.2020.101480
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    References listed on IDEAS

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    1. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    2. Souiden, Nizar & Chaouali, Walid & Baccouche, Mona, 2019. "Consumers’ attitude and adoption of location-based coupons: The case of the retail fast food sector," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 116-132.
    3. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
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    Cited by:

    1. Mohammad Saifuzzaman & Rosli Mahmood & Nur Shazwani Rosli, 2023. "Effects of Relative Advantage, Complexity, Social Influence, and Awareness on Islamic Banking Adoption in Bangladesh," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(10), pages 1005-1018, October.
    2. Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    3. van der Waal, Nadine Elisa & de Wit, Jan & Bol, Nadine & Ebbers, Wolfgang & Hooft, Lotty & Metting, Esther & van der Laan, Laura Nynke, 2022. "Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors," Technology in Society, Elsevier, vol. 71(C).

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