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Integrative Factors of E-Health Laboratory Adoption: A Case of Indonesia

Author

Listed:
  • Dwiza Riana

    (Magister of Computer Science, Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri (STMIK Nusa Mandiri), Jakarta Timur 13620, Indonesia)

  • Achmad Nizar Hidayanto

    (Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia)

  • Sri Hadianti

    (Magister of Computer Science, Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri (STMIK Nusa Mandiri), Jakarta Timur 13620, Indonesia)

  • Darmawan Napitupulu

    (Research Center for Science, Technology and Innovation Policy and Management, Indonesian Institute of Sciences, Jakarta 12710, Indonesia)

Abstract

Around the world, the adoption of digital health applications is growing very fast. The use of e-health laboratory systems is increasing while research on the factors that impact users to use e-health laboratory systems in Indonesia has not been done much. The objective of this study is to analyze the behavioral factors of e-health laboratory users. This study includes a survey conducted on Indonesian users, and data analysis was carried out thoroughly. Based on the Technology Acceptance Model, this research framework explores a combination of variables consisting of task-driven, technology-driven, human-driven, and adoption variables to form the model proposed in this study. This model was verified using the Structural Equation Modeling (SEM) method for factor analysis, path analysis, and regression. A total of 163 respondents were collected to evaluate this research model empirically and the level of this study were individuals. These three problems are all essential in affecting usage intentions in adopting an e-health laboratory system. Specifically, task technology fit, information quality, and accessibility show a direct effect on both perceived usefulness and perceived ease of use factors perceived by the user, and have an indirect influence on the adoption of an e-health laboratory system through these two factors. The design of an online laboratory system affects perceived ease of use and personal innovativeness factors affect the perceived usefulness that users feel when adopting a laboratory system, while task technology fit and personal innovativeness factors do not affect the perceived ease of use. However, overall technology characteristic and perceived usefulness followed by design are the main predictors of adopting an e-health laboratory system on e-health systems in Indonesia.

Suggested Citation

  • Dwiza Riana & Achmad Nizar Hidayanto & Sri Hadianti & Darmawan Napitupulu, 2021. "Integrative Factors of E-Health Laboratory Adoption: A Case of Indonesia," Future Internet, MDPI, vol. 13(2), pages 1-27, January.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:2:p:26-:d:486083
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    References listed on IDEAS

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    1. Tai Abdulrahman Alshammari & Khalid Mhasan Alshammary & Fahad Maiyah Alshammari, 2022. "Impact of Perceived Quality of E-Health Services on Patient Behavioral Intention to Use E-Health Services: A Moderating Role of Knowledge of E-Health Management," Journal of Economics and Behavioral Studies, AMH International, vol. 14(1), pages 23-38.

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