Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
권호 표지
DOI QR코드

DOI QR Code

The Impact of Technostress on Telemedicine App Usage Intentions in the Post-COVID19 Era

포스트 코로나 시대의 원격진료 앱 사용 의도에 대한 연구: 테크노 스트레스의 영향을 중심으로

  • Dong-eon Lee (Graduate school of Kangwon National University) ;
  • Se-Youn Jung (Prime College & Graduate School of Business, Korea National Open University)
  • 이동언 (강원대학교 일반대학원) ;
  • 정세윤 (한국방송통신대학교 프라임칼리지 & 경영대학원)
  • Received : 2023.12.19
  • Accepted : 2024.03.18
  • Published : 2024.03.30
Download PDF
⟨ Previous Next ⟩

Abstract

This study explores the impact of technostress on the intention to use telemedicine applications (apps) in the post-COVID19 era, a period marked by the rapid popularization of such apps to mitigate COVID19 infection risks. Utilizing the Technology Acceptance Model (TAM), the study identifies variables and proposes a research model. A questionnaire survey involving 364 adults is analyzed through Partial Least Squares-Structural Equation Modeling. Results indicate positive significance for variables linked to the TAM (perceived usefulness, perceived ease of use, attitude, and intention to use). Notably, techno-complexity negatively affects perceived ease of use, while techno-unreliability negatively impacts perceived usefulness and ease of use. Surprisingly, techno-uncertainty has a positive effect on both perceived usefulness and ease of use. Techno-overload, although negatively impacting perceived usefulness and ease of use, does not reach statistical significance. The study underscores the need to consider both positive and negative aspects, including technostress, when evaluating telemedicine app usage. Additionally, recognizing the varying impact of technostress based on users' ICT(Information and Communication Technology) confidence levels is crucial. Overall, these findings contribute academically to telemedicine app adoption literature and hold industrial significance by providing a user perspective on these apps.

Keywords

References

  1. Y. Jeong(2021), "Current Status and Issues of Science and Technology for Telemedicine in Korea." The Korean Academy of Science and Technology, 1-145. 
  2. K. Han, J. Yoon, E. Jun(2022), "Proposal for Health Insurance Policy When Telehealth Is Legalized: Focused on Telemedicine Platform, Remote Monitoring Device, Digital Therapeutics, and Homecare Medical Device." Health Insurance Review & Assessment Service Research, 2(1):36-46. 
  3. Medigate(2022), "Doctor Now challenging super app... 0.2% → 17% penetration rate of non-face-to-face treatment, and KRW10 trillion market size is expected." 
  4. J. Y. Kim(2020), "Virtual Health in Korea and Abroad: Ushering in the Next Frontier of Healthcare." Korea Institute of S&T Evaluation and Planing, 288:1-43. 
  5. J. S. Kim, S. H. Oh(2020), "Issue Analysis on the Deregulation of Telemedicine in the Digital Convergence Era." Journal of Digital Convergence, 18(12):445-457. 
  6. E. Karahanna, D. W. Straub, N. L. Chervany(1999), "Information technology adoption across time: A cross-sectionalcomparison of pre-adoption and post-adoption beliefs." MIS quarterly,183-213. 
  7. J. H. Koo, K. N. Jin(2021), "A Study on the Acceptance of Telehealth Services in 50-60s." Health and Social Welfare Review, 41(1):265-282. 
  8. F. D. Davis(1989), "Perceived usefulness, perceived ease of use, and user acceptance of information technology." MIS Quarterly, 13(3):319-340. 
  9. K. J. Kim, K. D. Lee(2019), "A Study on Technostress and Information System Acceptance of Public Officials in Local Government." The Journal of the Korea Contents Association, 19(3):48-60. 
  10. S. T. An, H. N. Kang, S. D. Chung(2018), "Older Adults' Adoption of Health-Related Mobile Application: The Role of Empowerment." Korean Academic Society For Public Relations, 22(6):53-74. 
  11. G. Y. Noh, M. S. Kwon, H. J. Jang(2014),"The Acceptance Model of Telemedicine for Chronic Disease in Rural Community." The Journal of the Korea Contents Association, 14(8):287-296. 
  12. E. Pullins, M. Tarafdar, P. Pham(2020), "The dark side of sales technologies: How technostress affects sales professionals." Journal of Organizational Effectiveness: People and Performance, 7(3):297-320. 
  13. R. Ayyagari, V. Grover, R. Purvis(2011), "Technostress: Technological antecedents and implications." MIS Quarterly, 831-858. 
  14. A. M. Fuglseth, O. Sorebo(2014), "The effects of technostress within the context of employee use of ICT." Computers in Human Behavior, 40:161-170. 
  15. C. B. Califf, S. Sarker(2020), "The bright and dark sides of technostress: A mixed-methods study involving healthcare IT." Mis Quarterly, 44(2). 
  16. M. Tarafdar, Q. Tu, T. S. Ragu-Nathan, B. S. Ragu-Nathan(2011), "Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress." Communications of the ACM, 54(9):113-120. 
  17. T. S. Ragu-Nathan, M. Tarafdar, B. S. Ragu-Nathan, Q. Tu(2008), "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation." Information Systems Research, 19(4):417-433. 
  18. J. D. Xu(2016), "Retaining customers by utilizing technology-facilitated chat: Mitigating website anxiety and task complexity." Information & Management, 53(5):554-569. 
  19. M. Schmidt, L. Frank, H. Gimpel(2021), "How Adolescents Cope with Technostress: A Mixed-Methods Approach." International Journal of Electronic Commerce, 25(2):154-180. 
  20. W. H. DeLone, E. R. McLean(2003), "The DeLone and McLean model of information systems success: a ten-year update." Journal of management information systems, 19(4):9-30. 
  21. J. F. Hair, J. J. Risher, M. Sarstedt, C. M. Ringle (2019), "When to use and how to report the results of PLS-SEM. European business review." 31(1):2-24. 
  22. D. Gefen, D. W. Straub(2005), "A practical guide to factorial validity using PLS-graph: Tutorial and annotated example." Communications of the Association for Information Systems, 16(5):91-109. 
  23. J. Henseler, C. M. Ringle, M. Sarstedt(2015), "A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling." Journal of the Academy of Marketing Science, 43(1):115-135. 
  24. N. K. Malhotra, S. S. Kim, Patil, A. (2006), "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research." Management Science, 52(12):1865-1883. 
  25. V. M. C. Martinez, P. A. Martin Cervantes(2021), "Partial least squares structural equation modeling (PLS-SEM) applications in economics and finance." Basel: Switzerland, MDPI AG. 
  26. J. Henseler, C. M. Ringle, M. Sarstedt(2016), "Testing Measurement Invariance of Composites Using Partial Least Squares." International Marketing Review, 33(3):405-431. 
  27. P. Pavlou, H. Liang, Y. Xue(2007), "Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective." MIS Quarterly, 31(1):105-136.