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Korean Academic Society of Business Administration
[ Article ]
korean management review - Vol. 50, No. 1, pp.143-171
ISSN: 1226-1874 (Print)
Print publication date 28 Feb 2021
Received 18 Nov 2020 Revised 07 Dec 2020 Accepted 23 Dec 2020
DOI: https://doi.org/10.17287/kmr.2021.50.1.143

노인장기요양시설에서의 웰니스 IT서비스 특성과 이용의도와의 관계

Youngsuk Park ; Jongsub Lee ; Jiyoung Yeon ; Jeongil Choi
(First Author) Soongsil University gogodial1@naver.com
(Co-Author) Soongsil University minieno@gmail.com
(Co-Author) Baekseok University eyelash134@gmail.com
(Corresponding Author) Soongsil University jichoi@ssu.ac.kr
The Relationship of Wellness IT Service Characteristics and Intention to Use in Long-Term Care Facilities for the Elderly


Copyright 2011 THE KOREAN ACADEMIC SOCIETY OF BUSINESS ADMINISTRATION
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study examines the relationship of wellness IT service characteristics and intention to use in long-term care facilities for the elderly based on Digital Transformation. Digital transformation has been actively carried out in finance, automobile manufacturing, and various services and has recently been promoted in the medical and welfare services sectors. This research examines the effect of wellness IT service characteristics using the value-based adoption model as the theoretical framework. The proposed research model is tested via a survey of 344 stakeholders of the long-term care facilities. Our study found that accuracy, safety, cleanness, and reliability were associated with perceived usefulness. On the contrary, they are not significantly associated with performance load. Perceived benefits positively affect the perceived value, but the perceived sacrifice does not significantly affect the perceived value. Finally, perceived value is strongly associated with customer satisfaction and intention to use the wellness IT service at long-term care facilities. This research suggests that service providers need to continuously evaluate and improve the perceived value to increase wellness information technology services. This research will help introduce wellness information technology in the long-term care facilities for the elderly, aiming for digital transformation.

Keywords:

Digital Transformation, Long-Term Care Facilities, Perceived Value, Value-based Adoption Model, Wellness IT Service

References

  • Aaker, D. A. and E. Joachimsthaler,(2000), “The Brand Relationship Spectrum: The Key to the Brand Architecture Challenge,” California Management Review, 42(4), pp.8-23. [https://doi.org/10.1177/000812560004200401]
  • Agarwal, S. and R. K. Teas,(2001), “Perceived Value: Mediating Role of Perceived Risk,” Journal of Marketing Theory and Practice, 9(4), pp.1-14. [https://doi.org/10.1080/10696679.2001.11501899]
  • Bauer, R. (1967). Risk Taking and Information Handling in Consumer Behavior, Boston, MA: Harvard University.
  • Bentler, P. M. (1990), “Comparative Fit Indexes in Structural Models,” Psychological Bulletin, 107, pp.238-246. [https://doi.org/10.1037/0033-2909.107.2.238]
  • Bentler, P. M. and D. G. Bonett,(1980), “Significance Tests and Goodness of Fit in the Analysis of Covariance Structures,” Psychological Bulletin, 88(3), pp.588-606. [https://doi.org/10.1037/0033-2909.88.3.588]
  • Berg, T., R. Winterton, M. Petersen, and J. Warburton, (2017), “Although We're Isolated, We're Not Really Isolated': The Value of Information and Communication Technology for Older People in Rural Australia,” Australasian Journal on Ageing, 36(4), pp.313-317. [https://doi.org/10.1111/ajag.12449]
  • Browne, M. W. and R. Cudeck,(1992), “Alternative Ways of Assessing Model Fit,” Sociological Methods & Research, 21(2), 230-258. [https://doi.org/10.1177/0049124192021002005]
  • Carmines, E. G. and J. P. McIver,(1981), Analyzing Models with Unobserved Variables: Analysis of Covariance structures. In G. W. Bohrnstedt, and E. F. Borgatta (Eds.), Social Measurement: Current Issues (pp.65-115), Beverly Hills, CA: Sage Publications.
  • Carretero, S. and C. Kucsera,(2015), “Report on Case Studies of Independent Living Technologies for Elderly People,” http://publications.jrc.ec.europa.eu/repository/bitstream/JRC94633/jrc94633%20final.pdf, (retrieved January 2020).
  • Central Dementia Center.,(2020), “Dementia Today,” htttps://www.nid.or.kr/info/today_list.aspx, (Accessed May 1, 2020).
  • Chang, C. C.,(2013), “Library Mobile Applications in University Libraries,” Library Hi Tech, 31(3), pp.478-492. [https://doi.org/10.1108/LHT-03-2013-0024]
  • Chen, Z. and A. J. Dubinsky,(2003), “A Conceptual Model of Perceived Customer Value in Ecommerce: A Preliminary Investigation,” Psychology & Marketing, 20(4), pp.323-347. [https://doi.org/10.1002/mar.10076]
  • Chin, W. W., A. Gopal, and W. D. Salisbury,(1997), “Advancing the Theory of Adaptive Structuration : The Development of a Scale to Measure Faithfulness of Appropriation,” Information Systems Research, 8(4), pp. 342-367. [https://doi.org/10.1287/isre.8.4.342]
  • Cho, S. E., S. J. Lee, I. H. Lee, and J. H. Jeong, (2015), “Spread of Wellness Care and the Medical System in the Future,” Policy Research, Korea Information Society Development Institute, 2015(58), pp.15-58.
  • Choi, H. S. and J. W. Park,(2009), “Effects Characteristics of Mobile Information Service on Satisfaction and Reuse Intention,” Journal of the Korea Contents Association, 9(9), pp.411-422. [https://doi.org/10.5392/JKCA.2009.9.9.411]
  • Choi, W. S..(2015), The Effect of Expectancy Disconfirmation on User's Satisfaction in the Long-Term Care Service Quality, Ph.D. dissertation, Kyonggi University.
  • Damant, J., M. Knapp, P. Freddolino, and D. Lombard,(2017), “Effects of Digital Engagement on the Quality of Life of Older People,” Health and Social Care in the Community 2017, 25, pp.1679-1703. [https://doi.org/10.1111/hsc.12335]
  • Daniel, K., S. Kalpana, and C. Kay,(2013), “Making Sense of Mobile and Web-Based Wellness Information Technology: Cross-Generational Study,” Journal of Medical Internet Research, 15(5), pp.1-14. [https://doi.org/10.2196/jmir.2124]
  • Davis, F. D.,(1989), “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, 13(3), pp.319-340. [https://doi.org/10.2307/249008]
  • Davis, F. D., R. P. Bagozzi, and P. R. Warshaw, (1989), “User Acceptance of Computer Technology: A comparison of Two Theoretical Models,” Management Science, 35(8), pp. 982-1003. [https://doi.org/10.1287/mnsc.35.8.982]
  • DeLone, W. H. and E. R. McLean,(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]
  • DeLone, W. H. and E. R. McLean,(2003), “The DeLone and McLean Model of Information Systems Success: A Ten-year Update,” Journal of Management Information Systems, 19 (4), pp.9-30. [https://doi.org/10.1080/07421222.2003.11045748]
  • Delone, W. H. and E. R. Mclean,(2004), “Measuring e-commerce Success: Applying the DeLone & McLean Information Systems Success Model,” International Journal of Electronic Ccommerce, 9(1), pp.31-47. [https://doi.org/10.1080/10864415.2004.11044317]
  • Dhebar, A.,(1996), “Information Technology and Product Policy: Smart Products,” European Management Journal, 14(5), pp.477-485. [https://doi.org/10.1016/0263-2373(96)00041-2]
  • Fan, Q.,(2016), “Utilizing ICT to Prevent Loneliness and Social Isolation of the Elderly. A Literature Review,” Cuadernos de Trabajo Social, 29(2), pp.185-200.
  • Firat, A., C. V. Andre, W. Wiktoria, Z. Martina, D. Stefan, and H. Andreas,(2010), From Cloud Computing to Mobile Internet, From User Focus to Culture and Hedonism - The Crucible of Mobile Health Care and Wellness Applications, In the Proceeding of 5th International Conference on Pervasive Computing and Applications, Institute of Electrical and Electronics Engineers, pp.38-45.
  • Fornell, C. and D. F. Larcker,(1981), “Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics,” Journal of Marketing Research, 18 (3), pp.382-388. [https://doi.org/10.1177/002224378101800313]
  • Frost and Sullivan. (2016), 2016 Global Healthcare Industry Outlook.
  • Gefen, D., E. Karahanna, and D. W. Straub,(2003), “Trust and TAM in Online Shopping: An Integrated Model,” MIS Quarterly, 27(1), pp.51-90. [https://doi.org/10.2307/30036519]
  • Gefen, D., D. Straub, and M. C. Boudreau,(2000), “Structural Equation Modeling and Regression: Guidelines for Research Practice,” Communications of Association Information Systems, 4(7), pp.1-77. [https://doi.org/10.17705/1CAIS.00407]
  • Grewal, D., J. Gotlieb, and H. Marmorstein,(1994), “The Moderating Effects of Message Framing and Source Credibility on the Price-Perceived Risk Relationship,” Journal of Consumer Research, 21(1), pp.145-153. [https://doi.org/10.1086/209388]
  • Grewal, D., K. B. Monroe, and R. Krishnan,(1998), “The Effects of Price Comparison Advertising on Buyers' Perceptions of Acquisition Value, Transaction Value, and Behavioral Intentions,” Journal of Marketing, 62(2), pp.46-59. [https://doi.org/10.1177/002224299806200204]
  • Hair, J. F., W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham,(1998), Multivariate Data Analysis, Upper Saddle River, NJ: Prentice- Hall.
  • Hooper, D., J. Coughlan, and M. R. Mullen,(2013), “The Servicescape as an Antecedent to Service Quality and Behavioral Intentions,” Journal of Services Marketing, 27(4), pp. 271-280. [https://doi.org/10.1108/08876041311330753]
  • Im, S. J.,(2019), A Study on the Influence of Quality Factors of Information System on the Active Usage, Ph.D. dissertation, Soongsil University.
  • Lee, S. H.,(2015), A Study on Acceptance and User Satisfaction of Smart Home-Focusing on Echo-Boomer Generation, Ph.D. dissertation, Seoul Venture University.
  • Ji, D. B., J. I. Choi, and Y. H. Kim,(2018), “An Exploratory Study on Customer-oriented Attributes for the Revitalization of Digital Healthcare Service : Using Interpretive Structural Modeling,” Journal of Information Technology Services, 17(1), pp.105-119.
  • Joo, J. J.,(2016), A Study on the Impacting Factors upon Life Satisfaction of Seniors Living in Facility: Focusing on the Comparative Study between Operating Types of Nursing Facilities for Seniors, Ph.D. dissertation, Chosun University, Gwangju, South Korea.
  • Joreskog, K. G. and D. Sorbom,(1984), Advances in Factor Analysis and Structural Equation Models. Lanham Rowman & Littlefield Publishers.
  • Jung, M. R.,(2016), Development and Effectiveness of an Mobile Wellness Program Using ICT for Male Workers, Ph.D. dissertation, Gyeongsang National University.
  • Kang, E. N., Y. K. Lee, J. M. Im, and H. W. Bae, (2020), “2019 Long-term Care Survey,” Korea Institute for Health and Social Affairs, Policy Report No.11-1352000-002743-12.
  • Kang, Y. M.,(2017), An Empirical Study on Adoption Intention of IOT Based Gas Safety Shutoff Service, Ph.D. dissertation, Soongsil University.
  • Karahanna E, D. W., and N. L. Chervany,(1999), “A Cross Sectional Comparison of Preadoption and Post-adoption Beliefs,” MIS Quarterly, 23(2), pp.183-213. [https://doi.org/10.2307/249751]
  • Karahanna, E. and D. W. Straub,(1999), “The Psychological Origins of Perceived Usefulness and Ease-of-Use,” Information and Manage- ment, 35(4), pp.237-250. [https://doi.org/10.1016/S0378-7206(98)00096-2]
  • Kim, C. B., Y. G. Kim, H. S. Lee, Y. T. Jeong, and K. I. Kim,(2016), A Study on Proliferating ICT-Wellness Care Convergence and Strategy for Vitalizing Industry, Ministry of Science, ICT and Future Planning, pp.1-94.
  • Kim, C. S.,(2014), A Study on Service Improvement for Silver Care Centers : Comparison of the Cognition of Satisfaction between Users and Managers, Ph.D. dissertation, University of Yeungnam, Gyeongsan.
  • Kim, D. H., J. H. Lee, and Y. P. Park,(2012), “A Study of Factors Affecting the Adoption of Cloud Computing,” The Journal of Society for e-Business Studies, 17(1), pp.111-136. [https://doi.org/10.7838/jsebs.2012.17.1.111]
  • Kim, G. S.,(2010), AMOS 18.0 Structural Equation Model Analysis. Hannarae.
  • Kim, H. S., H. C. Kim, and Y. G. Ji,(2015), “User Requirement Elicitation for U-City Residential Environment : Concentrated on Smart Home Service,” The Journal of Society for e-Business Studies, 20(1), pp.167-182. [https://doi.org/10.7838/jsebs.2015.20.1.167]
  • Kim, H. W., H. C. Chan, and S. Gupta,(2007), “Value-based Adoption of Mobile Internet : An Empirical Investigation,” Decision Support Systems, 43(1), pp.111-126. [https://doi.org/10.1016/j.dss.2005.05.009]
  • Kim, I. W.,(2017), A Study on Factors Affecting to the Acceptance Intention of Intelligent Video Security System, Ph.D. dissertation, Soongsil University.
  • Kim, J. K.,(2019), “Implications of Empathy for the Use of ICT-based Wellness Care in the Aged Society,” Journal of the New Korean Philosophical Association, 98(1), pp.1-25. [https://doi.org/10.20433/jnkpa.2019.10.98.1]
  • Kim, J. Y. and K. H. Chu,(2014), “The Role of Perceived Value on the Continuance Intention in Mobile Social Network Service,” Journal of Digital Convergence, 12(10), pp.211-222. [https://doi.org/10.14400/JDC.2014.12.10.211]
  • Kim, S. H., H. J. Park, and B. H. Lee.(2010), “The Relationships among social Influence, Use- Diffusion, Continued Usage and Brand Switching Intention of Mobile Services,” Asia Marketing Journal, 12(3), pp.1-24.
  • Kim, S. S. and N. K. Malhotra,(2005), “A Longitudinal Model of Continued Is Use: An Integrative View of Four Mechanisms Underlying Post Adoption Phenomena,” Management Science, 51(5), pp.741-755. [https://doi.org/10.1287/mnsc.1040.0326]
  • Kim, Y. C.,(2011), “A Study on Effect of Mobile Properties, IT Properties and Involvement on Satisfaction of Smartphone Application: Focused on Fashion Application,” The e- Business Studies, 12(2), pp.49-77 [https://doi.org/10.15719/geba.12.2.201106.49]
  • Kim, Y. H.,(2016), A Study on Adoption of IoT Smart Home Service - Based on Contingent Valuation Method and Value-Based Adoption Model, Ph.D. dissertation, Soongsil University.
  • Ko, J. Y.,(2014), A Study on Factors Affecting Usage Intention of Exhibition Attendees on Personalized Mobile Service, Ph.D. dissertation, Soongsil University. [https://doi.org/10.14257/astl.2014.63.17]
  • Korea Institute of Industrial Technology(2012), Future Wellness Industry Trend Analysis and Development Plan. Office of Strategic R&D Planning, Kuei, C-H.,(1999), “Internal Service Quality: An Empirical Assessment,” International Journal of Quality & Reliability Management, 16(8), pp.783-791. [https://doi.org/10.1108/02656719910274290]
  • Kwon, D. W.,(2016), “A Study of Dementia Patient Care Monitoring System Based on Indoor Location Using Bluetooth Beacon,” Journal of Digital Convergence, 14(2), pp.217-225. [https://doi.org/10.14400/JDC.2016.14.2.217]
  • Lam, L. W., K. W. Chan, D. Fong, and F. Lo,(2011), “Does the Look Matter?: The Impact of Casino Servicescape on Gaming Customer Satisfaction, Intention to Revisit, and Desire to Stay,” International Journal of Hospitality Management, 30(3), pp.558-567. [https://doi.org/10.1016/j.ijhm.2010.10.003]
  • Lee, J. C.,(2018), A Study on Influence of Smart Home Characteristics on Intension to Use: Based on VAM, TAM Integrated Model, Ph.D. dissertation, Hansung University.
  • Lee, S. E.,(2017), A Study on Effect of Long Term Care Servicescape on Word-of-Mouth Intentions and Customer Continuance Commitment, Ph.D. dissertation, Graduate School of Seoul Hanyoung University.
  • Lee, S. H.,(2015), A Study on Acceptance and User Satisfaction of Smart Home-Focusing on Echo-Boomer Generation, Ph.D. dissertation, Seoul Venture University.
  • Lee, T. M..(2003), Effects of Components of Interactivity on Purchase Intentions in Mobile Environments: Focused on the Direct Effects of Ubiquitous Connectivity and Contextual Offer, Ph.D. dissertation, Seoul National University.
  • Lim, Y. A.,(2017), The Effect of Social Support, Physical and Mental Function on the Quality of Life among the Elderly at Care Facilities, Ph.D dissertation, Chungnam National University.
  • Martin, W. B..(2002), Quality Service: What Every Hospitality Manager Needs to Know. Upper Saddle River, NJ: Prentice Hall.
  • Mittag, A..(2018), “15 Technology Trends That Can Elevate Your Wellness Program,” Plans & Trusts, 36(3), pp.16-21.
  • Moon, H., H. J. Yoon, and H. Han,(2016), “Role of Airport Physical Environments in the Satisfaction Generation Process: Mediating the Impact of Traveller Emotion,” Asia Pacific Journal of Tourism Research, 21(2), pp.1-19. [https://doi.org/10.1080/10941665.2015.1048260]
  • Moon, H., H. J. Yoon, and H. Han,(2016), “The Effect of Airport Atmospherics on Satisfaction and Behavioral Intentions: Testing the Moderating Role of Perceived Safety,” Journal of Travel & Tourism Marketing, 34(6), pp. 1-15. [https://doi.org/10.1080/10548408.2016.1223779]
  • Moore, G. C. and I. Benbasat,(1991), “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation,” Information Systems Research, 2(3), 192-222. [https://doi.org/10.1287/isre.2.3.192]
  • Mulaik, S. A., L. R. James, J. Van Alstine, N. Bennett, S. Lind, and C. D. Stilwell,(1989), “Evaluation of Goodness-of-Fit Indices for Structural Equation Models,” Psychological Bulletin, 105(3), pp.430-445. [https://doi.org/10.1037/0033-2909.105.3.430]
  • Muller, H., and E. Lanz-Kaufmann,(2001), “Wellness Tourism: Market Analysis of A Special Health Tourism Segment and Implications for the Hotel Industry,” Journal of Vacation Marketing, 7(1), pp.5-17. [https://doi.org/10.1177/135676670100700101]
  • Muthen, B. and D. Kaplan,(1985), “A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables,” British Journal of Mathematical and Statistical Psychology, 38, pp.171-189. [https://doi.org/10.1111/j.2044-8317.1985.tb00832.x]
  • O'Donnel, M. P. and J. J. Harris,(1994), Health Promotion in the Workplace, 2nd ed,, New York : Delmar Publisher Inc.
  • Oh, C. T.,(2006), “Opportunities for Increasing the Overall Satisfaction and the Word-of-Mouth Intention: With Focus on the Relationships of the Service Quality, the Overall Satisfaction, and the Word-of-Mouth Intention,” Korean Public Administration Review, 40 (3), pp.153-177.
  • Oliver, R. L.,(1997), Satisfaction: A Behavioral Perspective on The Consumer, Boston: McGraw-Hill.
  • Parish, J. T., L. L. Berry, and S. Y. Lam,(2008), “The Effect of the Servicescape on Service Workers,” Journal of Service Research, 10 (3), pp.220-238. [https://doi.org/10.1177/1094670507310770]
  • Park, J. H. and H. Y. Ryoo,(2016), “User Value Factors of Internet of Things(IoT) Service,” Journal of the HCI Society of Korea, 11(2), pp.23-30. [https://doi.org/10.17210/jhsk.2016.08.11.2.23]
  • Rust, R. T., A. J. Zahorik, and T. L. Keiningham, (1996), Service Marketing, New York: Harper Collins.
  • Safavi, S. and Z. Shukur,(2014), “Conceptual Privacy Framework for Health Information on Wearable Device,” PLoS One, 9(12), pp. 1-16. [https://doi.org/10.1371/journal.pone.0114306]
  • Seo, J. S.,(2012), Effects of Perceived Benefits and Costs of Traditional Market Support on Relationship Quality and Support, Ph.D. dissertation, Sejong University.
  • Shimp, T. A. and W. O. Bearden,(1982), “Warranty and Other Extrinsic Cue Effects on Consumers' Risk Perceptions,” Journal of Consumer Research, 9(1), pp.38-46. [https://doi.org/10.1086/208894]
  • Shin, G. K.,(2013), Structural Equation Modeling (SEM) with SPSS/AMOS 20, Seoul : Cheongram.
  • Siu, N. Y-M., P. Y. K. Wan, and P. Dong,(2012), “The Impact of the Servicescape on the Desire to Stay in Convention and Exhibition Centers: The Case of Macao,” International Journal of Hospitality Management, 31(1), pp.236- 246. [https://doi.org/10.1016/j.ijhm.2011.06.011]
  • Slade, E. L., Y. K. Dwivedi, N. C. Piercy, and M. D. Williams,(2015), “Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, And Trust,” Psychology & Marketing, 32(8), pp. 860-873. [https://doi.org/10.1002/mar.20823]
  • Smith, B. J., K.C. Tang, and D. Nutbeam,(2006), World Health Organization Health Promotion Glossary: New Terms, Health Promotion International Advance Access. [https://doi.org/10.1093/heapro/dal033]
  • Stone, R. N. and K. Grønhaug,(1993), “Perceived riRsk: Further Considerations for the Marketing Discipline,” European Journal of Marketing, 27(3), pp.39-50. [https://doi.org/10.1108/03090569310026637]
  • Tam, K. Y. and S. Y. Ho,(2006), “Understanding the Impact of Web Personalization on User Information Processing and Decision Outcomes,” MIS Quarterly, 30(4), pp.865-890. [https://doi.org/10.2307/25148757]
  • Taylor, S., and P. A. Todd,(1995), “Understanding Information Technology Usage: A Test of Competing Models,” Information Systems Research, 6(2), pp.144-176. [https://doi.org/10.1287/isre.6.2.144]
  • Tomarken, A. J., and N. G. Waller,(2003), “Potential Problems with ”Well Fitting“ Models,” Journal of Abnormal Psychology, 112(4), pp.578- 598. [https://doi.org/10.1037/0021-843X.112.4.578]
  • Turel, O., A. Serenko, and N. Bontis,(2010), “User Acceptance of Hedonic Digital Artifacts: A Theory of Consumption Values Perspective,” Information & Management, 47(1), pp.53- 59. [https://doi.org/10.1016/j.im.2009.10.002]
  • Turi, B., W. Rachel, P. Maree, and W. Jeni(2017), “‘Although We’re Isolated, We’re not Really Isolated’: The Value of Information and Communication Technology for Older People in Rural Australia,” Australasian Journal on Ageing, 36(4), pp.313-317. [https://doi.org/10.1111/ajag.12449]
  • Vargo, S. L. and R. F. Lusch,(2004), “Evolving to a New Dominant Logic for Marketing,” Journal of Marketing, 68(1), pp.1-17. [https://doi.org/10.1509/jmkg.68.1.1.24036]
  • Venkatesh, V. and S. A. Brown,(2001), “A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges,” MIS Quarterly, 25 (1), pp.71-102. [https://doi.org/10.2307/3250959]
  • Venkatesh, V. and F. D. Davis,(1996), “A Model of the Antecedents of Perceived Ease of Use: Development and Test,” Decision Sciences, 27(3), pp.451-481. [https://doi.org/10.1111/j.1540-5915.1996.tb01822.x]
  • Venkatesh, V. and F. D. Davis,(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]
  • Venkatesh, V., M. G. Morris, G. B Davis, and F. D. Davis,(2003), “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly, 27(3), pp.425-478. [https://doi.org/10.2307/30036540]
  • Venkatesh, V., J. Y. Thong, and X. Xu,(2012), “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology,” MIS Quarterly, 36(1), pp.157-178. [https://doi.org/10.2307/41410412]
  • Vijayalakshmi, R. and S. Rekha,(2011), “Cloud Based Model for Senior Citizens Wellness Management,” In 2011 World Congress on Information and Communication Technologies, pp.826-830.
  • Wang, H. Y. and S. H. Wang,(2010), “Predicting Mobile Hotel Reservation Adoption: Insight from a Perceived Value Standpoint,” International Journal of Hospitality Management, 29(4), pp.598-608. [https://doi.org/10.1016/j.ijhm.2009.11.001]
  • Wixom, B. H. and P. A. Todd,(2005), “A Theoretical Integration of User Satisfaction and Technology Acceptance,” Information Systems Research, 16(1), pp.85-102. [https://doi.org/10.1287/isre.1050.0042]
  • World Health Organization.(2015), World Report on Ageing and Health 2015. Geneva. https://apps.who.int/iris/bitstream/handle/10665/186463/9789240694811_eng.pdf;jsessionid=0A378A409DF511CC5F6E655B21886959?sequence=1, (retrieved June 2019).
  • Yang, H. T,(2016), User Acceptance of Internet of Things(IoT) Devices and Services: The Case of Wearable Devices and Smart Home Services, Ph.D. dissertation, KAIST.
  • Yang, H., J. Yu, H. Zo, and M. Choi,(2016), “User Acceptance of Wearable Devices : An Extended Perspective of Perceived Value,” Telematics and Informatics, 33(2), pp.256-269. [https://doi.org/10.1016/j.tele.2015.08.007]
  • Yoon, S. J. and M. Y. Kim,(2017) “A Study on the Improvement of User Value through the Analysis of the Status of Smart Home Service in Korea Based on the Internet of Things,” Management & Information Systems Review, 36(5), pp.45-60. [https://doi.org/10.29214/damis.2017.36.5.003]
  • Yu, J., H. Lee, I. Ha, and H. Zo,(2017), “User Acceptance of Media Tablets: An Empirical Examination of Perceived Value,” Telematics and Informatics, 34(4), pp.206-223. [https://doi.org/10.1016/j.tele.2015.11.004]
  • Zeithaml, V. A.(1988), “Consumer Perceptions of Price, Quality, and Value : A Means-End Model and Synthesis of Evidence,” Journal of Marketing, 52(3), pp.2-22. [https://doi.org/10.1177/002224298805200302]
  • Zeithaml, V. A., and M. J. Bitner,(2000). Services Marketing Integrating Customer Focus Across the Firm. 2nd Edition, McGraw-Hill, Boston.

∙ The author Youngsuk Park is currently a representative director of Maris Care Co., Ltd. He obtained his bachelor's degree in Mathematics Education at Sungkyunkwan University and master's degree in Engineering at Yonsei University, and his Ph.D. degree in IT Policy & Management at Soongsil University. He had worked for LG Nsys as CTO of IT Infra Business. His research areas are Internet of Things and Big Data-based Long Term Care Service

∙ The author Jongsub Lee is currently a director at Xeno Solution Co., Ltd. He obtained his B.B.A in Electronic Engineering from Kyungil University and M.S in Industrial Information Management from Yonsei University, and currently a Ph.D. Candidate of IT Policy & Management at Soongsil University. His research interests include Digital Transformation, IoT, Big data, Cloud Computing, and Financial Information Security.

∙ The author Jiyoung Yeon is currently an associate professor of tourism at Baekseok University and holds a doctorate in business administration from Inha University. She worked in public relations offices, training centers, and strategic management headquarters at one of the major airlines in South Korea. Her research interest includes the evaluation of service quality, service design, and business negotiation strategies.

∙ The author Jeongil Choi is currently a professor at the School of Business Administration, Soongsil University. He served as president of the Korea Society of IT Services and obtained his Ph.D. degree in Management from the University of Nebraska-Lincoln. He worked as an invited research fellow at INSEAD Euro-Asia Centre, and an assistant professor at Merrimack College, North Andover, MA, USA, and a senior research associate at the Korea Information Society Development Institute. His research areas are the online business model, service operations management, and IT-based service adoption and diffusion.