Integrated Social Cognitive and Social Capital Theory Toward Telemedicine Acceptance During Pandemic Turbulence

  • Noviaty Kresna Darmasetiawan University of Surabaya, Indonesia
  • Andri Rianawati University of Surabaya, Indonesia
  • Flora Ramona Sigit Prakoeswa University of Muhammadiyah Surakarta, Indonesia
Abstract Views: 35 times
PDF Downloads: 27 times
Keywords: Telemedicine, Social capital, Self- efficacy, COVID-19 pandemic, Technological Acceptance Model

Abstract

Pupose: This paper investigates the acceptance of telemedicine during the COVID-19 pandemic using an integrated framework of social cognitive theory, social capital, and the Technology Acceptance Model (TAM).

Method: The research employs a quantitative method through online surveys. The findings indicate that: 1) Self-efficacy is associated with the perception of ease of use of telemedicine. 2) Social capital is related to both the perceived ease of use and usefulness of telemedicine. 3) The turbulent pandemic situation strengthens the intention to use telemedicine.  This study collect 155 respondents and use partial least square for testing hypothesis.

Result: All of hypothesis in this research are supported. The results suggests that the implementation of telemedicine should consider social capital, social cognitive aspects, and TAM.

Downloads

Download data is not yet available.

References

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived Usefulness, Ease of Use, And Usage of Information Technology: a Replication. MIS Quarterly, 16(2), 227–247. https://doi.org/10.2307/249577

Adler, P. S., & Kwon, S.-W. (2002). Social Capital: Prospects for a New Concept. The Academy of Management Review, 27(1), 17–40. https://doi.org/10.2307/4134367

Al-Sofiani, M. E., Alyusuf, E. Y., Alharthi, S., Alguwaihes, A. M., Al-Khalifah, R., & Alfadda, A. (2020). Rapid Implementation of a Diabetes Telemedicine Clinic During The Coronavirus Disease 2019 Outbreak: Our Protocol, Experience, and Satisfaction Reports in Saudi Arabia. Journal of Diabetes Science and Technology, 15(2), 329–338. https://doi.org/10.1177/1932296820947094

Ansell, C. (2016). Turbulence, Adaptation, and Change. Governance in Turbulent Times, 77–104. https://doi.org/10.1093/acprof:oso/9780198739517.003.0004

Ansell, Chris, & Boin, A. (2017). Taming Deep Uncertainty: The Potential Of Pragmatist Principles For Understanding And Improving Strategic Crisis Management. Administration & Society, 51(7), 1079–1112. https://doi.org/10.1177/0095399717747655

Bandura, a. (2014). Social Cognitive Theory of Moral Thought and Action. In W. M. Kurtines, J. L. Gewirtz, & L.L. Jacob (Eds.) Handbook of Moral Behavior and Development (pp. 69-128). Psychology press.

Bestsennyy, O., Gilbert, G., Harris, A., & Rost, J. (2021, July 9). Telehealth: A Quarter-Trillion-Dollar Post-Covid-19 Reality?. McKinsey & Company. https://www.mckinsey.com/industries/healthcare/our-insights/telehealth-a-quarter-trillion-dollar-post-covid-19-reality

Bisnisnews. (2020). 2020, BPS Catat Jumlah Penduduk Indonesia 270,20 Juta Jiwa Dan Dominan Generasi Z. Retrieved jan 21 2021 from https://bisnisnews.id/detail/berita/2020-bps-catat-jumlah-penduduk-indonesia-27020-juta-jiwa-dan-dominan-generasi-z

Bourdieu, P. (2011). The Forms of Capital. In I. Szeman & T. Kaposy (Eds.), Cultural theory: An anthology (pp. 81-93). Wiley-Blackwell

Brancheau, J. C., Janz, B. D., & Wetherbe, J. C. (1996). Key Issues In Information Systems Management: 1994-95 Sim Delphi Results. MIS Quarterly, 20(2), 225. https://doi.org/10.2307/249479

Coleman, J. S. (1994). Foundations of Social Theory. Belknap Press of Harvard University Press.

Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688

Darr, A., Senior, A., Argyriou, K., Limbrick, J., Nie, H., Kantczak, A., Stephenson, K., Parmar, A., & Grainger, J. (2020). The Impact of The Coronavirus (COVID-19) Pandemic on Elective Paediatric Otolaryngology Outpatient Services – an Analysis of virtual outpatient clinics in a tertiary referral centre using the Modified Paediatric Otolaryngology Telemedicine Satisfaction Survey (POTSS). International Journal of Pediatric Otorhinolaryngology, 138, 110383. https://doi.org/10.1016/j.ijporl.2020.110383

Davis, F. D. (1985). A Technology Acceptance Model for Empirically Testing New End-User Information Systems : Theory And Results (Thesis). Massachusetts Institute of Technology, Cambridge.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982.

Doarn, C. R., Latifi, R., Poropatich, R. K., Sokolovich, N., Kosiak, D., Hostiuc, F., Zoicas, C., Buciu, A., & Arafat, R. (2018). Development and Validation of Telemedicine for Disaster Response: The North Atlantic Treaty Organization Multinational System. Telemedicine and E-Health, 24(9), 657–668. https://doi.org/10.1089/tmj.2017.0237

Emery, F. E., & Trist, E. L. (1965). The Causal Texture of Organizational Environments. Human Relations, 18(1), 21–32. https://doi.org/10.1177/001872676501800103.

Felício, J. A., Couto, E., & Caiado, J. (2012). Human Capital and Social Capital in Entrepreneurs and Managers of Small and Medium Enterprises. Journal of Business Economics and Management, 13(3), 395–420. https://doi.org/10.3846/16111699.2011.620139.

Garretson, C. J., Waller, R.E., McCormack, T. J., Lemoine, P. A., & Richardson, M. D. (2021). The Impact of Turbulence on Global Higher Education During a Pandemic. International journal of innovative research and advanced studies, 8(1), 30-33.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When To Use and How To Report The Results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203.

Hasan, B. (2007). Examining The Effects of Computer Self-Efficacy and System Complexity on Technology Acceptance. Information Resources Management Journal, 20(3), 76–88. https://doi.org/10.4018/irmj.2007070106

Hendy, J., & barlow, J. (2012). The adoption of telecare in the community. Community practitioner, 85(3), 41-44.

Hu, P. J., Chau, P. Y K.., Sheng, O. R. L., & Tam, K. Y. (1999). Examining The Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of management information systems, 16(2), 91-112. https://doi.org/10.1080/07421222.1999.11518247

Jnr., B. A. (2020). Use of Telemedicine And Virtual Care for Remote Treatment in Response to COVID-19 Pandemic. Journal of Medical Systems, 44(7), 132. https://doi.org/10.1007/s10916-020-01596-5

Lemoine, P. A., Waller, R. E., Garretson, C. J., & Richardson, M. D. (2020). Analyzing Uncertainty and Change in The Advancement of Global Higher Education. Education, 3(04), 208-223.

Putnam, R. D., Leonardi, R., & Nonetti, R. Y. (1993). Making Democracy Work: Civic Traditions in Modern Italy. Princeton University Press. https://doi.org/10.2307/j.ctt7s8r7

Mohseni, M., & Lindstrom, M. (2007). Social Capital, Trust in The Health-Care System and Self-Rated Health: The Role Of Access to Health Care In A Population-Based Study. Social Science & Medicine, 64(7), 1373–1383. https://doi.org/10.1016/j.socscimed.2006.11.023

Nasirun, N., Ramayah, T., Khalid, S. A., & Shahruddin, S. (2021). Modeling Business Vs Non-Business Students Blended Learning Experience: Invariance Assessment and Multigroup Analysis. Asian Journal of Business Research, 11(3), 50–71. https://doi.org/10.14707/ajbr.210114

Perednia, D. A., & Allen, A. (1995). Telemedicine technology and clinical applications. JAMA: The Journal of the American Medical Association, 273(6), 483–488. https://doi.org/10.1001/jama.1995.03520300057037

Rahimpour, M., Lovell, N. H., Celler, B. G., & McCormick, J. (2008). Patients’ perceptions of a home telecare system. International Journal of Medical Informatics, 77(7), 486–498. https://doi.org/10.1016/j.ijmedinf.2007.10.006

Shu, Q., Tu, Q., & Wang, K. (2011). The Impact of Computer Self-Efficacy and Technology Dependence on Computer-Related Technostress: A Social Cognitive Theory Perspective. International Journal of Human-Computer Interaction, 27(10), 923–939. https://doi.org/10.1080/10447318.2011.555313

Smith, A. C., Thomas, E., Snoswell, C. L., Haydon, H., Mehrotra, A., Clemensen, J., & Caffery, L. J. (2020). Telehealth for Global Emergencies: Implications for Coronavirus Disease 2019 (Covid-19). Journal of Telemedicine and Telecare, 26(5), 309–313. https://doi.org/10.1177/1357633x20916567.

Tsai, C.-H. (2014). Integrating Social Capital Theory, Social Cognitive Theory, and The Technology Acceptance Model To Explore A Behavioral Model of Telehealth Systems. International Journal of Environmental Research and Public Health, 11(5), 4905–4925. https://doi.org/10.3390/ijerph110504905.

Venkatesh, V. (2000). Determinants Of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion Into The Technology Acceptance Model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872.

Wittson, C. L., Affleck, D. C., & Johnson, V. (1961). Two-Way Television in Group Therapy. Psychiatric Services, 12(11), 22–23. https://doi.org/10.1176/ps.12.11.22

.

Published
2024-06-12
How to Cite
Darmasetiawan, N. K., Rianawati, A., & Prakoeswa, F. R. S. (2024). Integrated Social Cognitive and Social Capital Theory Toward Telemedicine Acceptance During Pandemic Turbulence. Journal of Entrepreneurship and Business, 5(2), 154 - 163. https://doi.org/10.24123/jeb.v5i2.6461