DOI QR코드

DOI QR Code

Factors Affecting Elderly People's Intention to Use of Digital Wealth Management Services

고령자들의 디지털 자산관리 서비스 이용의도에 영향을 미치는 특성 및 요인

  • Kwak, Jae-Hyuk (Dept. of Information Management, Graduate School of Venture, Hoseo University) ;
  • Dong, Hak-Lim (Dept. of Information Management, Graduate School of Venture, Hoseo University)
  • 곽재혁 (호서대학교 벤처대학원 정보경영학과) ;
  • 동학림 (호서대학교 벤처대학원 정보경영학과)
  • Received : 2022.02.23
  • Accepted : 2022.05.20
  • Published : 2022.05.28

Abstract

The purpose of this study was to identify factors that affect the characteristics and intentions of the elderly to use digital wealth management services. The subjects of this study were 312 elderly people over 50 years old. Based on the Value-based Adoption Model(VAM), the research model added price value, social influence, and perceived risk as research variables. As a result of empirical analysis, it was found that usefulness, enjoyment, price value, and social influence all had a significant positive (+) effect on perceived value. It was found that technicality had a significant negative (-) effect. On the other hand, no significant effect relationship was tested on perceived risk. The perceived value had a significant positive (+) effect on the intention to use. This study was meaningful in the academic research that it applied a research model that reflected the characteristics of the elderly who were not treated as mainstream in the technology acceptance model for digital wealth management services. In addition, it provided practical implications for providers' marketing strategies and government/public institution policy establishment to increase the use of digital wealth management services for the elderly.

본 연구는 디지털 자산관리 서비스에 대한 고령자의 이용 의도에 영향을 미치는 요인들을 파악하고자 한다. 연구대상은 50대 이상 고령자 312명이었다. 연구모형은 가치기반수용모델(VAM)을 바탕으로 가격 효용성, 사회적 영향, 인지된 위험을 연구 변인으로 추가하였다. 실증분석 결과 유용성, 즐거움, 가격 효용성, 그리고 사회적 영향은 인지된 가치에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 기술성은 유의한 부(-)의 영향을 미치는 것으로 나타났다. 반면 인지된 위험은 유의한 영향 관계가 검정되지 않았다. 인지된 가치는 이용의도에 유의한 정(+)의 영향을 미쳤다. 본 연구는 디지털 자산관리 서비스에 대하여, 기술수용모델에서 주류로 다루지 않았던 고령자를 대상으로 그 특성을 반영한 연구모형을 적용했다는 학술적 의미가 있다. 또한 고령자들의 디지털 자산관리 서비스 이용도를 높이기 위한 공급자들의 마케팅 전략 및 정부/공공기관의 정책 수립에 실무적 시사점을 제공했다.

Keywords

References

  1. S. R. Um, H. R. Shin & Y. S. Kim. (2020). An Analysis of the Factors Affecting Technology Acceptance. Journal of Digital Convergence, 18(2), 57-71. https://doi.org/10.14400/JDC.2020.18.2.057
  2. H. S. Kim. (2019). Understanding and Strategies of Senior Business, Seoul : Hakjisa.
  3. S. B. Kim. (2011). Consumption Patterns of the Baby Boom Generation and Policy Implications for Age-friendly Businesses, Health and Welfare Policy Forum, 174, 28-37.
  4. H. H. Lee & S. H. Koo. (2011). Utilizing Social Network Services to Alleviate Social Isolation and Loneliness of the Elderly in Korea. Journal of Korean Associastion for Regional Information Society, 14(2), 105-121
  5. B. S. Kim & J. M. Kim. (2009). A study on Digital Divide trigger factor of older people - focused on Technology Acceptance Model. The Social Science Researche, 35(2), 193-222
  6. S. Y. Ahn, L. Lim, S. H. Wang & E. Y. Lee. (2020). Economic Life and Retirement Preparation Status of of Middle-aged and Elderly. Jeonbuk : National Pension Research Institute
  7. Y. D. Kim. (2011. Jun). Development Plan for Domestic Wealth management Business. Weekly Briefing of Korea Institute of Finance, 20(24), 3-7
  8. I. Jin. (2009). Wealth Management Service Activation Plan. Seoul : Korea Insurance Research Institute.
  9. Y. J. Cho & H. L. Dong. (2019). Impact of Bank's Service Quality on Customer Satisfaction and Loyalty: Focusing on the Difference between PB Customers and Regular Customers. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 14(5), 159-173 https://doi.org/10.16972/APJBVE.14.5.201910.159
  10. M. S. Suh & D. H. Kim. (2019). The Study on the Change of Online Wealth Management Service based on RoboAdvisor. The e-Business Studies, 20(5), 155-173. https://doi.org/10.20462/tebs.2019.10.20.5.155
  11. S. B. Lee. (2020). Trend and Implication of Strengthening the Protection of Elderly Financial Consumers abroad. Seoul : Korea Capital Market Institute.
  12. H. J. Kim. (2020). Global Trend and Case Study of Digital Wealth Management (Wealthtech). Seoul : Korea Financial Investment Association.
  13. Y. M. Seo. (2018). Digitalization Trend and Case Study of the Global Financial Investment Industry. Seoul : Korea Financial Investment Association.
  14. The Boston Consulting Group & Lufax. (2018). Global Digital Wealth Management Report 2018. Boston : Boston Consulting Group
  15. J. C. Kim, J. W. Lee & Y. S. Oh. (2021). A Study on the Factors Affecting National Agricultural Cooperative Federation Employees' Intention to Use Digital Wealth Management (WealthTech): Focusing on UTAUT2. Cooperative Economics and Management Review, 54, 43-67. https://doi.org/10.35443/CMR.2021.54..003
  16. National Information Society Agency. (2020). 2020 Digital Information Gap Survey. Daegu : National Information Society Agency
  17. H. W. Kim, Hock Chuan Chan & Sumeet Gupta. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems, Vol 43, Issue 1, 111-126. https://doi.org/10.1016/j.dss.2005.05.009
  18. J. C. Oh. (2017). An Empirical Study on Use-Diffusion of AR Technology based on VAM : The Moderating Effects of Postive TRI. The e-Business Studies, 18(5), 225-244 https://doi.org/10.15719/GEBA.18.5.201710.225
  19. K. O. Choi & H. R. Lee. (2019). A Study on Influence Relation of Flight Search Mobile Application Users' Perceived Benefit, Perceived Sacrifice, Perceived Value and Continuous Use Intentions by Using Value-based Adoption Model. Journal of Tourism Sciences, 43(8), 115-135. https://doi.org/10.17086/jts.2019.43.8.115.135
  20. Y. G. Jo, J. E. Lee, M. S. Suh, J. G. Jung & K. H. Kim. (2016). A study on the formation factors of Continuance Intention of Real Estate Mobile App by Expectation-Confirmation Model and Value based Adoption Model. The Korean Society of Science & Art, 25, 389-407 https://doi.org/10.17548/ksaf.2016.09.25.389
  21. V. A. Zeithaml. (1988). Consumer perceptions of price, quality and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22. https://doi.org/10.2307/1251446
  22. Y. J. Jeong & Y. U. Song. (2016). A Study on the Factors Affecting the Intention to Use O2O Services. Journal of Information Technology Services, 15(4), 125-151. https://doi.org/10.9716/KITS.2016.15.4.125
  23. F. D. Davis, R. P. Bagozzi & P. R. Warshaw (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  24. M. H. Lee & Y. J. So. (2015). The effects of mobile bakery application's perceived usefulness and easiness on its continuous use. Culinary Science & Hospitality Research, 21(2), 171-186. https://doi.org/10.20878/cshr.2015.21.2.014
  25. S. Y. Lee, H. R. Yim & H. S. Kim. (2019). A Study on Influence Relation of Membership User's Perceived Benefit, Sacrifice, Value and Continuous Use Intention by Using Theory of Value Based Adoption Model (VAM): Focused on 20's CJ Membership Service. Culinary Science & Hospitality Research, 25(6), 12-22
  26. F. D. Davis. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  27. S. A. Eroglu, K. A. Machleit & L. M. Davis. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139-150. https://doi.org/10.1002/mar.10064
  28. V. Venkatesh, J. Y. L. Thong & X. Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157~178. https://doi.org/10.2307/41410412
  29. M. S. Featherman, A. D. Miyazaki & D. E. Sprott. (2010). Reducing Online Privacy Risk to Facilitate e-Service Adoption : The Influence of Perceived Ease of Use and Corporate Credibility. Journal of Services Marketing, 24(3), 219-229. https://doi.org/10.1108/08876041011040622
  30. J. W. Taylor. (1974). The Role of Risk in Consumer Behavior. Journal of Marketing, 38(2), 54-60. https://doi.org/10.2307/1250198
  31. S. D. Kwon, D. Y. Chun & Y. Y. Kim. (2012). Reexamination of Effect of Perceived Risk on Purchasing Intention. Journal of Information Technology Applications & Management, 19(2), 233-247. https://doi.org/10.21219/JITAM.2012.19.2.233
  32. J. P. Peter & M. J. Ryan. (1976). An investigation of perceived risk at the brand level. Journal of Marketing Research, 13(2), 186-188.
  33. V. Venkatesh, M. G. Morris, G. B. Davis & F. D. Davis. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
  34. B. G. Chung. (2019). Factors Affecting Technology Acceptance of Industry 4.0. Doctoral dissertation. The Graduate School of Venture, Hoseo University, Seoul.
  35. M. C. Kim, M. S. Kim & T. H. Ha. (2018). Factors Analysis Influencing on the Usage Attitudeof Smartphone Base Mobile Banking. Journal of Information Technology and Architecture, 15(2), 157-164. https://doi.org/10.22865/JITA.2018.15.2.157
  36. J. H. Han & H. J. Sa. (2021). The Intention of Golf Participants to Use SNS(Social Network Service) Golf Lesson Contents and to Visit Golf Driving Range;Applying UTAUT2 Model, Korean Journal of Lesure, Recreation & Park, 45(2), 37-50.
  37. W. H. Na & H. L. Dong. (2021). Factors for Intention to Use for Digital Contents Subscription Service in Korea. Journal of Digital Contents Society, 22(5), 755-766 https://doi.org/10.9728/dcs.2021.22.5.755
  38. P. Chandon, B. Wansink & G. Laurent. (2000). A Benefit Congruency Framework of Sales Promotion Effectiveness. Journal of Marketing, 64(4), 65-80. https://doi.org/10.1509/jmkg.64.4.65.18071
  39. G. J. Kim. (2009). A Study on Acceptance Factor of Digital Multimedia Broadcasting. Korean Journal of Journalism & Communication Studies, 53(3), 296-323
  40. S. Jin. (2021). An Empirical Study on the Factors Affecting Intention to Adoption of eXtended Reailty - An Application of the UTAUT2 Model. Journal of Digital Contents Society, 22(7), 1101-1114. https://doi.org/10.9728/dcs.2021.22.7.1101
  41. Y. Liao. (2016). Association of sociodemographic and perceived environmental factors with public bicycle use among Taiwanese urban adults. International Journal of Environmental Research and Public Health, 13(3), 340-350. https://doi.org/10.3390/ijerph13030340
  42. R. Aswani, P. V. Ilavarasan, A. K. Kar & S. Vijayan. (2018). Adoption of public WiFi using UTAUT2: An exploration in an emerging economy. Procedia computer science, 132, 297-306. https://doi.org/10.1016/j.procs.2018.05.180
  43. H. B. Lee & K. G. Yu. (1995). A Study on the Dependence of Elderly Consumers on Information Sources. Journal of Product Research, No 12, 117-131
  44. E. M. Rogers. (1995). Lessons for guidelines from the diffusion of innovations. Joint Commission Journal on Quality and Patient Safety, 21(7), 324-328.
  45. M. J. Kim & S. B. Lee. (2018). The effect of the perceived benefit and sacrifice of delivery application service users in the food industry on perceived valueand behavioral intention: Using the value-based adoption model (VAM). International Journal of Tourism and Hospitality Research, 32(2), 217-233. https://doi.org/10.21298/ijthr.2018.02.32.2.217
  46. S. U. Yun. (2013). A study on the innovation resistance on social network service : Focusing on facebook non-users on their 20's university students. Journal of Communication Science, 13(3), 331-360.
  47. J. J. Cronin, M. K. Brady, R. R. Brand, R. Hightower & D. J. Shemwell. (1997). Cross-Sectional Test of the Effect and Conceptualization of Service Value. Journal of Services Marketing, 11(6), 375-391. https://doi.org/10.1108/08876049710187482
  48. C. K. Lee, H. M. Kim & D. H. An. (2008). The Effect of Perceived Value for Japanese Tourists on Their Satisfaction and Revisit Intention to Korean Tourism. Journal of Tourism and Leisure Research, 20(4), 69-85.
  49. H. Yang, J. Yu, H. Zo & M. Choi. (2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256-269. https://doi.org/10.1016/j.tele.2015.08.007
  50. R. Agarwal & E. Karahanna. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694. https://doi.org/10.2307/3250951
  51. D. Sirdeshmukh, J. Singh & B. Sabol. (2002). Consumer trust, value, and loyalty in relational exchanges. Journal of Marketing, 66(1), 15-37. https://doi.org/10.1509/jmkg.66.1.15.18449