DOI QR코드

DOI QR Code

The Effect of Hospital Mobile App Quality Factors on Users ' Continuous Use Intention: An Integrated Approach of Information Systems Success and Expectation-Confirmation Models

병원모바일앱 품질요인이 이용자의 지속이용의도에 미치는 영향: 정보시스템성공모형과 기대일치모형의 통합적 접근

  • Min Soo Kim (Medical MBA, Graduate School of Business, Kyung Hee University) ;
  • Sang-Hyeak Yoon (Department of Industrial Management, KOREATECH) ;
  • Sae Bom Lee (SW Convergence Education Center, Sahmyook University) ;
  • Sung-Byung Yang (Dept. of Business Administration, Kyung Hee University)
  • 김민수 (경희대학교 경영대학원 의료경영학과) ;
  • 윤상혁 (한국기술교육대학교 산업경영학부) ;
  • 이새봄 (삼육대학교 SW융합교육원) ;
  • 양성병 (경희대학교 경영학과)
  • Received : 2023.03.02
  • Accepted : 2023.03.10
  • Published : 2023.03.31

Abstract

As information and communications technology-based "smart hospitals" and "digital healthcare" have become a hot topic in the healthcare field, hospital mobile apps are gaining attention; but, the utilization rate is low due to lack of publicity, unstable systems, and late updates. In this situation, systematic research is needed to increase the utilization rate of hospital mobile apps, but related research has been rare. Therefore, this study integrates the information systems success model (ISSM) from the technical perspective and the expectation-confirmation model (ECM) from the cognitive perspective to demonstrate the influence mechanism on the continuous use intention of hospital mobile apps. For this purpose, an online survey was conducted among 181 Korean adults who have used hospital mobile apps. The results of the structual equation modeling showed that most of the quality factors have significant effects on expectation confirmation, perceived usefulness, and satisfaction. Additionally, expectation confirmation significantly affects perceived usefulness and satisfaction, and both perceived usefulness and satisfaction significantly affect the continuous use intention of hospital mobile apps. This study is of importance in that it integrates the ISSM and ECM and applies them to the context of using hospital mobile apps, which are underutilized in the healthcare field, and provides practical implications for increasing the utilization rate of hospital mobile apps and operating effective and efficient services through the findings.

정보통신기술 기반의 '스마트병원'과 '디지털 헬스케어'가 의료분야의 화두가 되면서 병원모바일앱이 주목받고 있지만, 홍보 부족, 불안정한 시스템, 늦은 업데이트 등의 이유로 이용률은 저조한 편이다. 이러한 상황에서 병원모바일앱의 이용률을 높이기 위한 체계적인 연구가 필요하지만, 관련 연구는 다소 부족한 실정이다. 이에, 본 연구에서는 기술적 관점의 정보시스템성공모형과 인지적 관점의 기대일치모형을 통합하여, 병원모바일앱 지속이용의도에 대한 영향 메커니즘을 실증하고자 한다. 이를 위해 병원모바일앱 이용 경험이 있는 국내 성인 181명을 대상으로 온라인 설문조사를 실시하였다. 구조방정식모형 분석 결과, 대부분의 품질요인이 기대일치와 인지된 유용성 및 만족도에 유의미한 영향을 미치는 것으로 나타났으며, 기대일치는 인지된 유용성과 만족도에 유의한 영향을 주는 것으로 나타났다. 또한, 인지된 유용성과 만족도는 병원모바일앱의 지속이용의도에 유의한 영향을 미친다는 사실을 밝혀냈다. 본 연구는 기대일치모형과 정보시스템성공모형을 통합하여 의료분야, 그 가운데에서도 이용률이 저조한 병원모바일앱 사용 맥락에 적용한 연구라는 점에서 의의가 있으며, 연구결과를 통해 병원모바일앱의 이용률 증대 및 효과적·효율적인 서비스 운영을 위한 실무적 시사점을 제시하였다.

Keywords

Acknowledgement

이 논문은 2020년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2020S1A5B8103855).

References

  1. Ahn, B., Yoon, S., Kim, H., and Kim, K. (2014), Development of Hospital Informative Application to Increase Convenience for Hospital Visitors, Journal of the Korean Society of Imaging Informatics in Medicine, 20(1), pp. 27-32.
  2. An, J. (2015), The Effects of Service Design Quality Factors and Availability on User Satisfaction, Journal of Service Research and Studies, Vol.5, No.2, pp. 55-76.
  3. Bagozzi, R.P., Yi, Y., and Phillips, L.W. (1991), Assessing Construct Validity in Organizational Research, Administrative Science Quarterly, Vol.36, No.3, pp. 421-458. https://doi.org/10.2307/2393203
  4. Bhattacherjee, A. (2001), Understanding Information Systems Continuance: An Expectation-Confirmation Model, MIS Quarterly, 25(3), pp. 51-370.
  5. Byun, J.K. (2022), In the era of medical treatment with apps, the patient's voice is nowhere to be found, SisaIN, https://www.sisain.co.kr/news/articleView.html?idxno=48237.
  6. Chang, Y.P. and Zhu, D.H. (2012), The Role of Perceived Social Capital and Flow Experience in Building Users' Continuance Intention to Social Networking Sites in China, Computers in Human Behavior, 28(3), pp. 995-1001. https://doi.org/10.1016/j.chb.2012.01.001
  7. Chen, C.W. (2010), Impact of Quality Antecedents on Taxpayer Satisfaction with Online Tax-Filing Systems? An Empirical Study, Information and Management, Vol.47, No.5-6, pp. 308-315. https://doi.org/10.1016/j.im.2010.06.005
  8. Choeh, J. and Jo, H. (2015), Impact of IS Success Factors, Redundancy and Perceived Storage on Removing Behavior in the Context of Smartphone Application, The e-Business Studies, 16(4), pp. 67-82. https://doi.org/10.15719/GEBA.16.4.201508.67
  9. Choi, S. (2013), Determinants of User Perceived Value and Its Influence on the Usage of Smartphonebased Mobile Commerce: Focusing on Service Ubiquity and User Control, The Journal of Society for e-Business Studies, 18(4), pp. 273-299. https://doi.org/10.7838/jsebs.2013.18.4.273
  10. De Wulf, K., Schillewaert, N., Muylle, S., and Rangarajan, D. (2006), The Role of Pleasure in Web Site Success, Information and Management, 43(4), pp. 434-446. https://doi.org/10.1016/j.im.2005.10.005
  11. DeLone, W.H. and McLean, E.R. (1992), Information Systems Success: The Quest for the Dependent Variable, Information Systems Research, 3(1), pp. 60-95. https://doi.org/10.1287/isre.3.1.60
  12. Fornell, C. and Larcker, D.F. (1981), Structural Equation Model with Unobservable Variables and Measurement Error: Algebra and Statistics, Journal of Marketing Research, 18(3), 1981, pp. 382-388. https://doi.org/10.1177/002224378101800313
  13. Fornell, C., Johnson, M.D., Anderson, E. W., Cha, J., and Bryant, B.E. (1996), The American Customer Satisfaction Index: Nature, Purpose, and Findings, Journal of Marketing, 60(4), pp. 7-18. https://doi.org/10.1177/002224299606000403
  14. Gorla, N., Somers, T.M., and Wong, B. (2010), Organizational Impact of System Quality, Information Quality, and Service Quality, The Journal of Strategic Information Systems, 19(3), pp. 207-228. https://doi.org/10.5859/KAIS.2010.19.4.207
  15. Hair, J.F., Black, W.C., Babin, B.J., and Anderson, R. E. (2009), Multi variate Data Analysis, 7th Edition. London: Prentice Hall.
  16. Han, G., Nah, S., Kim, D., Sung, Y., and Ryu, H. (2017), Design of Mobile Application User Interface for Patients with Rheumatoid Arthritis, Proceedings of HCI Korea 2017, pp. 482-485.
  17. Hariguna, T., Lai, M.T., Hung, C.W., and Chen, S.C. (2017), Understanding Information System Quality on Public E-Government Service Intention: An Empirical Study, International Journal of Innovation and Sustainable Development, 11(2-3), pp. 271-290. https://doi.org/10.1504/IJISD.2017.083290
  18. Hoehle, H. and Venkatesh, V. (2015), Mobile Application Usability: Conceptualization and Instrument Development, MIS Quarterly, 39(2), pp.435-472. https://doi.org/10.25300/MISQ/2015/39.2.08
  19. Hong, S., Thong, J.Y., and Tam, K. Y.(2006), Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet, Decision Support Systems, 42(3), pp. 1819-1834.
  20. Hwangbo, C., Chung, K.S., and Noh, M.J. (2016), An Empirical Study on Relationships between Characteristics of Mobile Payment Services and Continuance Intention, Korean Business Education Review, 31(4), pp. 591-615.
  21. Jang, K. and Kim, K. (2008), A Study on Factors Affecting the Continued Usage Intention of Ubiquitous Services, The Journal of Information Systems, 17(3), pp. 175-204. https://doi.org/10.5859/KAIS.2008.17.3.175
  22. Jeong, Y., Park, C., Park, J., Kim, H., and Jun, E. (2014), Developing a Mobile Application for Asthma Management and User Test, Journal of Korea Multimedia Society, 17(1), pp. 94-103. https://doi.org/10.9717/kmms.2014.17.1.094
  23. Kang, S. (2022), Medical community prepares for unconventional care, drug delivery-platforms are an alternative, Daily Pharm, http://www.dailypharm.com/Users/News/NewsView.html?ID=295344.
  24. Kim G., Byun, G., and Yang, J. (2011), A Study on the Effect of Easiness to Use the Food Service Related Application of Smart Phone on Intentions of Use: Focused on the Mediation Effect of Familarity and Usefulness, Korean Journal of Hospitality and Tourism, 20(6), pp. 61-81.
  25. Kim, J.T. and Choi, D.Y. (2022), The Effect of Support Quality of Chatbot Services on User Satisfaction, Loyalty and Continued Use Intention: Focusing on the Moderating Effect of Social Presence, Journal of Service Research and Studies, 12(4), pp. 106-124. https://doi.org/10.18807/JSRS.2022.12.4.106
  26. Kim, S. and Kim, C. (2018), A Study on the Continuous Usage Intention of Easy Payment Applying Technology Readiness and Expectation-Confirmation Model, Journal of Business Research, 33(3), pp. 51-72. https://doi.org/10.22903/JBR.2018.33.3.51
  27. Kim, J. (2020), "Two to three cases a month"...ineffective hospital app e-prescriptions, Daily Farm, http://www.dailypharm.com/Users/News/Ne wsView.html?ID=266901.
  28. Lee, J.B., Kim, J.H., Bok, J.H., and Woo, H. (2020), Quality Analysis of Smart Application Contents for the Convenience of Care and Hospital Access, Korean Journal of Hospital Management, 25(1), pp. 1-12.
  29. Lee, I. and Kim, S. (2019), Empirical Analyses of the Factors Influencing on the Intention to Use Smart Home Services, Journal of Service Research and Studies, 9(2), pp. 55-76. https://doi.org/10.18807/JSRS.2019.9.2.055
  30. Lee, J. (2020), A Study on the Prediction of OTT Service Continuance Intention by Integrating Extended Expectation-Confirmation Model and Information System Success Model, Doctoral Dissertation, Chung-Ang University.
  31. Lee, M.C. (2010), Explaining and Predicting Users' Continuance Intention Toward E-Learning: An Extension of the Expectation-Confirmation Model, Computers and Education, 54(2), pp. 506-516. https://doi.org/10.1016/j.compedu.2009.09.002
  32. Lee, O., Kim, H., and Lee, S. (2019), The Influence of Relational Benefits of Kiosk on Perceived Usefulness, Confirmation, Attitude and Continuance Usage Intention, Korean Journal of Hospitality and Tourism, 28(5), pp. 73-88.
  33. Lee, S. and Kang, M. (2016), Factors Affecting Word-of-Mouth Intention of O2O: Focusing on the Mediating Effect on the User Satisfaction and Continued Use Intention and the Moderating Effects by Gender, Korean Corporation Management Review, 65(1), pp. 155-190.
  34. Lien, C.H., Cao, Y., and Zhou, X. (2017), Service Quality, Satisfaction, Stickiness, and Usage Intentions: An Exploratory Evaluation in the Context of WeChat Services, Computers in Human Behavior, 68, pp. 403-410. https://doi.org/10.1016/j.chb.2016.11.061
  35. Lin, C.S., Wu, S., and Tsai, R.J. (2005), Integrating Perceived Playfulness into Expectation-Confirmation Model for Web Portal Context, Information and Management, 42(5), pp. 683-693.
  36. Lin, H.F. (2007), The Impact of Website Quality Dimensions on Customer Satisfaction in the B2C E-Commerce Context, Total Quality Management and Business Excellence, 18(4), pp.363-378. https://doi.org/10.1080/14783360701231302
  37. Oliver, R.L. (1980), A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions, Journal of Marketing Research, 17(4), pp. 460-469.
  38. Park, M., Jun, J., and Park, H. (2017), Understanding Mobile Payment Service Continuous Use Intention: An Expectation-Confirmation Model and Inertia, Quality Innovation Prosperity, 21(3), 2017, pp.78-94. https://doi.org/10.12776/qip.v21i3.983
  39. Park, S. and Cho, N. (2021), The Effect of Hospital Mobile App Service Quality on Consumer Satisfaction, Involvement, and Reuse Intention, Korean Journal of Hospital Management, 26(1), pp. 1-16.
  40. Pitt, L.F., Watson, R. T. and Kavan, C. B. (1995), Service Quality: A Measure of Information Systems Effectiveness, MIS Quarterly, 19(2), pp. 173-187.
  41. Roca, J.C., Chiu, C. M.0, and Martinez, F.J. (2006), Understanding e-Learning Continuance Intention: An Extension of the Technology Acceptance Model, International Journal of Human-Computer Studies, 64(8), pp. 683-696.
  42. Seddon, P.B. (1997), A Respecification and Extension of The DeLone and McLean Model of IS Success, Information Systems Research, 8(3), pp. 240-253.
  43. Seol, S. (2012), Study on Success Factors of Smartphone-Based Mobile Banking: Using DeLone & McLean's Information System Success Model, Pohang University of Science and Technology Graduate School Master's Thesis.
  44. Sim, Y., Seo, Y., Kim, J., Kim, S. and Sung, D. (2012), Factors Related to the Intent to Use the Medical Application (M-APP) of Smart Phone of Hospital Nurses, Korean Journal of Health Policy and Administration, 22(2), pp.249-262. https://doi.org/10.4332/KJHPA.2012.22.2.249
  45. Spreng, R.A. and Chiou, J.S. (2002), A Cross Cultural Assessment of the Satisfaction Formation Process, European Journal of Marketing, 36(2), pp. 829-839. https://doi.org/10.1108/03090560210430827
  46. Venkatesh, V. and Davis, F.D. (2000), A Theoretical Extension of The Technology Acceptance Model: Four Longitudinal Field Studies, Management Science, 46(2), pp. 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
  47. Wiseapp (2022), 161% increase in users of contactless healthcare app in one month, Platinum, https://platum.kr/archives/182383.
  48. Woo, Y. (2020), Mobile hospital app use doubles as COVID-19 spreads, Seoul Economic Daily, https://www.sedaily.com/NewsView/1Z1MY5319J.