Using the Technology-Organization-Environment Framework Approach in the Acceptance of Telemedicine in the Health Care Industry



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Submitted Mar 31, 2021
Published May 6, 2021
10.24018/ejbmr.2021.6.3.837

Abstract viewed = 897 times

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Telemedicine is an innovation in providing health services to patients, perceptions of technology vary from one individual to another. The level of technology acceptance is something that needs to be researched because it will affect the use of a technology in the company, this is because the received technology will continue to be used in the company and the rejected technology will be a neglected part. There are the important considered criteria for the acceptance of a technology of this research: the adoption of innovation, organizational measurement, business environment, and communication channels.

The purpose of this study was to analyze the effect of technology acceptance, organizational size, business environment on the adoption of telemedicine with the influence of the communication channel. The research method is an explanatory research using a quantitative approach. The population in this study was 156 people. The used data analysis method in this research is a Moderated Regression Analysis (MRA). The results from the MRA analysis show that technology acceptance is positively and significantly influenced by communication channels on the adoption of telemedicine. In contrast, the measurement of the organization and the business environment did not have a significant effect on the adoption of telemedicine in the health service industry. The implication of hospital management to increase technology acceptance must pay attention to the advantages of using telemedicine, the suitability of existing technology in hospitals to develop telemedicine, the ease of used technology, the results that seen from the use of telemedicine and it can be tested before being applied. Communication needs to be improved by paying attention to the credibility of the communicator, the content and context of telemedicine, the clarity and continuity of information, the used language is easy to understand and the right communication channel is interpersonal.

Keywords: Diffusion of Telemedicine Innovation, Technology-Organization-Environment, Communication

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References

  1. Bernier, F., & Lord, O. The Physician , Telemedicine And Information And Communications Graphic design. 2015.
     Google Scholar
  2. Portnoy, J., Waller, M., & Elliott, T. Telemedicine in the Era of COVID-19. Journal of Allergy and Clinical Immunology: In Practice, 2020.
     Google Scholar
  3. Rogers, E. M. Diffusion Of Innovation (fifth). The Free Press. 2003.
     Google Scholar
  4. Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alamri, M. M., Aljarboa, N. A., Alturki, U., & Aljeraiwi, A. A. Integrating Technology Acceptance Model with Innovation Diffusion Theory: An Empirical Investigation on Students’ Intention to Use E-Learning Systems. IEEE Access, 2019.
     Google Scholar
  5. Miranda, M. Q., Farias, J. S., de Araújo Schwartz, C., & de Almeida, J. P. L. Technology adoption in diffusion of innovations perspective: introduction of an ERP system in a non-profit organization. RAI Revista de Administração e Inovação, 2016.
     Google Scholar
  6. Kissi, J., Dai, B., Dogbe, C. S. K., Banahene, J., & Ernest, O. Predictive factors of physicians’ satisfaction with telemedicine services acceptance. Health Informatics Journal. 2019.
     Google Scholar
  7. Tornatzky, L., & Fleischer, M. (1990). The process of technology innovation. Lexington: Lexington Books.
     Google Scholar
  8. Senge, P., Kleiner, A., Roberts, C., Ross, R., Roth, G. and Smith, B. (1999) The Dance of Change: The Challenges of Sustaining Momentum in Learning Organizations, New York: Doubleday/Currency).
     Google Scholar
  9. Zhu, K., & Kraemer, K. (2005). Post-adoption variations in usage and value of e-business by organizations: Cross-country evidence from the retail industry. European Journal of Information Systems, 12, 61–84.
     Google Scholar
  10. Oliveira, T., Martins, M.F. (2011). Literature review of information technology adoption models at firm level. The Electronic Journal Information Systems Evaluation, 14(1): 110-121.
     Google Scholar
  11. Duncan, Robert B. “Characteristics of Organizational Environments and Perceived Environmental Uncertainty.” Administrative Science Quarterly, vol. 17, no. 3, 1972, pp. 313–327. JSTOR, www.jstor.org/stable/2392145. Accessed 25 Apr. 2021.
     Google Scholar
  12. Abdul Hameed, Mumtaz & Counsell, Steve & Swift, Stephen. (2012). A conceptual model for the process of IT innovation adoption in organizations. Journal of Engineering and Technology Management. 29. 358–390. 10.1016/j.jengtecman.2012.03.007.
     Google Scholar
  13. Kowath, N., & Choon, T. (2001) Determinants of website development: A study of electronic commerce in Singapore. Information & Management, 39(3), 227-242.
     Google Scholar
  14. Yeo, V.C.S, Goh, S.K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services 35 (2017) 150–162.
     Google Scholar
  15. Oliveira, T., Martins, M.F. (2011). Literature review of information technology adoption models at firm level. The Electronic Journal Information Systems Evaluation, 14(1): 110-121.
     Google Scholar
  16. Hasyim, H., & Anindita, R.. Developing Conceptual Model for Online Shopping Attitude in Indonesia : Based on the Diffusion of Innovations Theory. International Journal of Economics, Commerce and Management, 2016.
     Google Scholar


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