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Risk of Fear and Anxiety in Utilising Health App Surveillance Due to COVID-19: Gender Differences Analysis

Author

Listed:
  • Adi Alsyouf

    (Department of Managing Health Services and Hospitals, College of Business (COB), Faculty of Business Rabigh, King Abdulaziz University, P.O. Box 344, Jeddah 21991, Saudi Arabia)

  • Ra’ed Masa’deh

    (Department of Management Information Systems, School of Business, University of Jordan, Amman 11942, Jordan)

  • Moteb Albugami

    (Department of Management Information Systems, College of Business (COB) Rabigh, King Abdulaziz University, P.O. Box 344, Jeddah 21991, Saudi Arabia)

  • Mohammad Al-Bsheish

    (Department of Healthcare Administration, Batterjee Medical College (BMC), P.O. Box 6231, Jeddah 21442, Saudi Arabia)

  • Abdalwali Lutfi

    (Department of Accounting, College of Business Administration, King Faisal University, Al-Hassa 31982, Saudi Arabia)

  • Nizar Alsubahi

    (Department of Managing Health Services and Hospitals, College of Business (COB), Faculty of Business Rabigh, King Abdulaziz University, P.O. Box 344, Jeddah 21991, Saudi Arabia)

Abstract

Although technology trends and acceptance have been considered crucial topics, limited research has examined stress-specific factors such as health anxiety in the context of the COVID-19 pandemic based on people’s attitudes toward a mobile health app using the Technology Acceptance Model (TAM). Accordingly, this study primarily highlights the psychological determinants stemming from the COVID-19 pandemic that affect the usage of a mobile health app. The study followed a cross-sectional design and adopted a snowball sampling technique to collect the data. The findings showed a significant association between perceived usefulness, perceived ease of use, and event-related fear and Tabaud App intention. The relationships between Tabaud App intention and COVID-19 anxiety on Tabaud App usage were also revealed. The study found a significant association between perceived ease of use and perceived usefulness. Additionally, the multi-group analysis showed that only two paths related to Tabaud App intention, perceived ease of use and perceived usefulness, differed significantly between males and females. Additionally, women experienced anxiety disorders more than men. The study contributes to the previous knowledge on the field by examining the psychological determinants resulting from the COVID-19 pandemic that influence using a mobile health app, namely, event-related fear and COVID-19 anxiety. The study results may help governments, health policymakers, and health organisations in Saudi Arabia contain the spread of the COVID-19 pandemic.

Suggested Citation

  • Adi Alsyouf & Ra’ed Masa’deh & Moteb Albugami & Mohammad Al-Bsheish & Abdalwali Lutfi & Nizar Alsubahi, 2021. "Risk of Fear and Anxiety in Utilising Health App Surveillance Due to COVID-19: Gender Differences Analysis," Risks, MDPI, vol. 9(10), pages 1-19, October.
  • Handle: RePEc:gam:jrisks:v:9:y:2021:i:10:p:179-:d:651506
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    References listed on IDEAS

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    1. Paul T E Cusack, 2020. "Anxiety Disorders," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 31(3), pages 24255-24260, October.
    2. Paul Slovic & Melissa L. Finucane & Ellen Peters & Donald G. MacGregor, 2004. "Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 311-322, April.
    3. Wright, William F. & Bower, Gordon H., 1992. "Mood effects on subjective probability assessment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 52(2), pages 276-291, July.
    4. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    Cited by:

    1. Mohd Shafie Rosli & Nor Shela Saleh & Azlah Md. Ali & Suaibah Abu Bakar, 2023. "Factors Determining the Acceptance of E-Wallet among Gen Z from the Lens of the Extended Technology Acceptance Model," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
    2. Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    3. Abdalwali Lutfi & Akif Lutfi Al-Khasawneh & Mohammed Amin Almaiah & Adi Alsyouf & Mahmaod Alrawad, 2022. "Business Sustainability of Small and Medium Enterprises during the COVID-19 Pandemic: The Role of AIS Implementation," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    4. Alrawad, Mahmaod & Lutfi, Abdalwali & Alyatama, Sundus & Al Khattab, Adel & Alsoboa, Sliman S. & Almaiah, Mohammed Amin & Ramadan, Mujtaba Hashim & Arafa, Hussin Mostafa & Ahmed, Nazar Ali & Alsyouf, , 2023. "Assessing customers perception of online shopping risks: A structural equation modeling–based multigroup analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    5. Adi Alsyouf & Abdalwali Lutfi & Nizar Alsubahi & Fahad Nasser Alhazmi & Khalid Al-Mugheed & Rami J. Anshasi & Nora Ibrahim Alharbi & Moteb Albugami, 2023. "The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    6. Adi Alsyouf & Abdalwali Lutfi & Mohammad Al-Bsheish & Mu’taman Jarrar & Khalid Al-Mugheed & Mohammed Amin Almaiah & Fahad Nasser Alhazmi & Ra’ed Masa’deh & Rami J. Anshasi & Abdallah Ashour, 2022. "Exposure Detection Applications Acceptance: The Case of COVID-19," IJERPH, MDPI, vol. 19(12), pages 1-26, June.
    7. Abdalwali Lutfi & Saleh Nafeth Alkelani & Malak Akif Al-Khasawneh & Ahmad Farhan Alshira’h & Malek Hamed Alshirah & Mohammed Amin Almaiah & Mahmaod Alrawad & Adi Alsyouf & Mohamed Saad & Nahla Ibrahim, 2022. "Influence of Digital Accounting System Usage on SMEs Performance: The Moderating Effect of COVID-19," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    8. Abdalwali Lutfi & Ahmad Farhan Alshira’h & Malek Hamed Alshirah & Manaf Al-Okaily & Hamza Alqudah & Mohamed Saad & Nahla Ibrahim & Osama Abdelmaksoud, 2022. "Antecedents and Impacts of Enterprise Resource Planning System Adoption among Jordanian SMEs," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    9. Abdalwali Lutfi, 2022. "Factors Influencing the Continuance Intention to Use Accounting Information System in Jordanian SMEs from the Perspectives of UTAUT: Top Management Support and Self-Efficacy as Predictor Factors," Economies, MDPI, vol. 10(4), pages 1-17, March.
    10. Adi Alsyouf & Awanis Ku Ishak & Abdalwali Lutfi & Fahad Nasser Alhazmi & Manaf Al-Okaily, 2022. "The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses," IJERPH, MDPI, vol. 19(17), pages 1-30, September.

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