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Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk

Author

Listed:
  • Issam AlHadid

    (Information Technology Department, Faculty of Information Technology and Systems, University of Jordan, Aqaba 77110, Jordan)

  • Evon Abu-Taieh

    (Computer Information Systems Department, Faculty of Information Technology and Systems, University of Jordan, Aqaba 77110, Jordan)

  • Rami S. Alkhawaldeh

    (Computer Information Systems Department, Faculty of Information Technology and Systems, University of Jordan, Aqaba 77110, Jordan)

  • Sufian Khwaldeh

    (Information Technology Department, Faculty of Information Technology and Systems, University of Jordan, Aqaba 77110, Jordan)

  • Ra’ed Masa’deh

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

  • Khalid Kaabneh

    (Faculty of Information Technology, Al-Ahliyya Amman University, Amman 19328, Jordan)

  • Ala’Aldin Alrowwad

    (Department of Business Management, School of Business, University of Jordan, Aqaba 77110, Jordan)

Abstract

Using mobile applications in e-government for the purpose of health protection is a new idea during COVID-19 epidemic. Hence, the goal of this study is to examine the various factors that influence the use of SANAD App As a health protection tool. The factors were adopted from well-established models like UTAUT, TAM, and extended PBT. Using survey data from 442 SANAD App from Jordan, the model was empirically validated using AMOS 20 confirmatory factor analysis, structural equation modeling (SEM) and machine learning (ML) methods were performed to assess the study hypotheses. The ML methods used are ANN, SMO, the bagging reduced error pruning tree (RepTree), and random forest. The results suggested several key findings: the respondents’ performance expectancy, effort expectancy, social influence, facilitating conditions, perceived risk, trust, and perceived service quality of this digital technology were significant antecedents for their attitude to using it. The strength of these relationships is affected by the moderating variables, including age, gender, educational level, and internet experience on behavioral intention. Yet, perceived risk did not have a significant effect on attitude towards SANAD App The study adds to literature by empirically testing and theorizing the effects of SANAD App on public health protection.

Suggested Citation

  • Issam AlHadid & Evon Abu-Taieh & Rami S. Alkhawaldeh & Sufian Khwaldeh & Ra’ed Masa’deh & Khalid Kaabneh & Ala’Aldin Alrowwad, 2022. "Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk," IJERPH, MDPI, vol. 19(14), pages 1-26, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8281-:d:857325
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    References listed on IDEAS

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    1. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang & Lee, Cheng fang, 2022. "Adoption model of healthcare wearable devices," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. Isaac Kofi Mensah & Guohua Zeng & Chuanyong Luo, 2020. "E-Government Services Adoption: An Extension of the Unified Model of Electronic Government Adoption," SAGE Open, , vol. 10(2), pages 21582440209, June.
    3. Wenjuan Li, 2021. "The Role of Trust and Risk in Citizens’ E-Government Services Adoption: A Perspective of the Extended UTAUT Model," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    4. Raja Sankaran & Shibashish Chakraborty, 2021. "Factors Impacting Mobile Banking in India: Empirical Approach Extending UTAUT2 with Perceived Value and Trust," IIM Kozhikode Society & Management Review, , vol. 11(1), pages 7-24, January.
    5. Finn, Adam & Wang, Luming & Frank, Tema, 2009. "Attribute Perceptions, Customer Satisfaction and Intention to Recommend E-Services," Journal of Interactive Marketing, Elsevier, vol. 23(3), pages 209-220.
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