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Mobile Health Technology Evaluation: Innovativeness and Efficacy vs. Cost Effectiveness

Author

Listed:
  • Sherina Idrish

    (Department of Marketing and International Business, North South University, Dhaka, Bangladesh)

  • Afrin Rifat

    (Department of Accounting and Finance, North South University, Dhaka, Bangladesh)

  • Mehree Iqbal

    (Department of Marketing and International Business, North South University, Dhaka, Bangladesh)

  • Nabila Nisha

    (Department of Accounting and Finance, North South University, Dhaka, Bangladesh)

Abstract

Globally, the advancement of mobile technology and the growing number of mobile phone users has promoted the boom in mobile health services. The influence of mobile technology has, in fact, made healthcare delivery more accessible, affordable and effective today. Consumers are thus increasingly using mobile devices as health service delivery aids across various countries. However, questions remain as to how consumer traits like personal innovativeness and self-efficacy, financial costs related to the service delivery and demographics like age and gender may affect the usage and adoption of mobile health services, especially for emerging economies like Bangladesh. Conceptual model of the study identifies self-efficacy, facilitating conditions, effort expectancy and performance expectancy to be significant constructs that influences users' overall perceptions of mobile health services, along with moderating effects of both age and gender upon the selected factors. Finally, the study highlights managerial implications, future research directions and limitations.

Suggested Citation

  • Sherina Idrish & Afrin Rifat & Mehree Iqbal & Nabila Nisha, 2017. "Mobile Health Technology Evaluation: Innovativeness and Efficacy vs. Cost Effectiveness," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 13(2), pages 1-21, April.
    • Handle: RePEc:igg:jthi00:v:13:y:2017:i:2:p:1-21
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    Cited by:

    1. Ben Arfi, Wissal & Ben Nasr, Imed & Khvatova, Tatiana & Ben Zaied, Younes, 2021. "Understanding acceptance of eHealthcare by IoT natives and IoT immigrants: An integrated model of UTAUT, perceived risk, and financial cost," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    2. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.

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