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Impacts of Perceived Value and Trust on Intention to Continue Use of Individuals' Cloud Computing: The Perception of Value-based Adoption Model

클라우드 컴퓨팅의 지각된 가치와 신뢰가 지속적 사용의도에 미치는 영향: 가치기반수용모델을 기반으로

  • Kim, Sanghyun (School of Business Administration, Kyungpook National University) ;
  • Park, Hyunsun (School of Business Administration, Kyungpook National University) ;
  • Kim, Bora (School of Business Administration, Kyungpook National University)
  • Received : 2020.10.12
  • Accepted : 2021.01.20
  • Published : 2021.01.28

Abstract

Cloud computing is getting a lot of attention by many people and businesses due to IT environmental changes such as the proliferation of smart devices, the increase of digital data, and the cost of IT resources. More individuals use personal cloud computing services for storing and managing information and data. Therefore, this study proposed determinants that are expected to have an influence on evaluating the value of cloud computing based on the value-based adoption model, examining the relationship between the continuous use intention of cloud computing. Results of the study show that usefulness, convenience of information access, extensibility had a positive impact on perceived value while privacy concerns and costs had a negative impact on perceived value. In addition, perceived value was found to have a significant effect on the intention to continue use of cloud computing. Finally, trust was found to have a significant effect on the perceived value and the intention to continue use of cloud computing. The findings are expected to provide useful information for understanding the factors that individual users consider important in the steadily growing cloud computing market.

모바일 기기의 확산, 디지털 데이터의 증가, IT 자원 비용 문제 등의 환경 변화로 많은 사람이 개인용 클라우드 컴퓨팅을 사용하고 있으며, 클라우드 컴퓨팅은 정보와 데이터를 저장, 관리하는데 유용한 서비스로 평가받고 있다. 이에 클라우드 컴퓨팅 채택 및 수용에 관한 연구는 활발하게 이루어져 왔다. 하지만 개인 사용자가 인지하는 가치를 기반으로 지속적인 사용에 영향을 미치는 요인에 관한 연구는 아직은 미비하다. 이에 본 연구는 가치기반수용모델을 기반으로 클라우드 컴퓨팅 가치 평가에 영향을 미칠 요인들을 제안하고 연구모델을 설정하였으며 AMOS 22.0과 SPSS 23.0을 사용하여 실증분석을 진행하였다. 분석결과, 유용성, 정보접근편의성, 확장성은 지각된 가치에 정(+)의 영향을 미치는 것으로 나타났으며, 프라이버시 염려와 비용은 지각된 가치에 부(-)의 영향을 미치는 것으로 나타났다. 지각된 가치는 클라우드 컴퓨팅 지속적 사용의도에 유의한 영향을 미치는 것으로 나타났으며 신뢰는 지각된 가치와 지속적 사용의도에 유의한 영향을 미치는 것으로 나타났다. 본 연구의 결과는 꾸준히 성장하고 있는 클라우드 컴퓨팅 시장에서 개인 사용자들이 중요하게 고려하는 요소를 이해하는데 유용한 정보를 제공할 것으로 기대한다.

Keywords

References

  1. National Assembly Research Service. (2017). Current Status and Challenges of Cloud Computing, NARS Current Issues Report, 313. 1-93.
  2. S. S. Yoo. (2012). Personal Cloud Service Trend. ICT & Media Policy, 24(12), 43-48.
  3. P. F. Hsu., S. Ray & Y. Y. Li-Hsieh. (2014). Examining Cloud Computing Adoption Intention, Pricing Mechanism and Deployment Model. International Journal of Information Management, 34, 474-488. DOI: 10.1016/j.ijinfomgt.2014.04.006
  4. E. Park & K. J. Kim. (2014). An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model. Telematics and Informatics, 31, 376-385. DOI: 10.1016/j.tele.2013.11.008
  5. I. J. Jo, S. K, Kim & S. B. Yang. (2015). A Study on Influencing Factors on User's Adoption Resistance to Personal Cloud Computing Service, Knowledge Management Review, 16(1), 117-142. DOI : 10.15813/kmr.2015.16.1.006
  6. C. H. Jung & S. H. Namn. (2014). Cloud Computing Acceptance at Individual Level Based on Extended UTAUT. Journal of Digital Convergence, 12(1), 287-294. DOI : 10.14400/JDPM.2014.12.1.287
  7. S. H. Kim & H. Sun. (2013). Factors Affecting the Intention to Use of Personal Cloud Computing Service: A Case of Chinese Users, The Journal of the Korea Contents Association, 13(11), 877-884. DOI : 10.5392/JKCA.2013.13.11.877
  8. J. H. Ryu, H. Y. Moon & J. H. Choi. (2013). Analysis of Influence Factors on the Interntion to Use Personal Cloud Computing, Journal of Information Technology Services, 12(4), 319-335. DOI : 10.9716/KITS.2013.12.4.319
  9. N. Alkhater, R. Walters & G. Wills. (2018). An Empirical Study of Factors Influencing Cloud Adoption among Private Sector Organisations. Telematics and Informatics, 35(1), 38-54. DOI : 10.1016/j.tele.2017.09.017
  10. D. Alsmadi & V. Prybutok. (2018). Sharing and Storage Behavior via Cloud Computing: Security and Privacy in Research and Practice. Computers in Human Behavior, 85, 218-226. DOI : 10.1016/j.chb.2018.04.003
  11. R. D. Raut, P. Priyadarshinee, B. B. Gardas & M. K. Jha. (2018). Analyzing the Factors Influencing Cloud Computing Adoption using Three Stage Hybrid SEM-ANN-ISM(SEANIS) Approach. Technological Forecasting & Social Change, 134, 98-123. DOI : /10.1016/j.techfore.2018.05.020
  12. C. H. Song, S. W. Kim & Y. W. Sohn. (2020). Acceptance of Public Cloud Storage Services in South Korea: A Multi-group Analysis. International Journal of Information Management, 51, 1-12. DOI : 10.1016/j.ijinfomgt.2019.11.003
  13. H. W. Kim, H. C. Chan & S. Gupta. (2007). Value-based Adoption of Mobile Internet: An Empirical Investigation. Decision Support System, 43(1), 111-126. DOI: 10.1016/j.dss.2005.05.009
  14. P. Mell & T. Grance. (2011). The NIST Definition of Cloud Computing. National Institute of Standards and Technology, SP800-145, 1-3.
  15. H. B. Shim. (2014). The Technology of Personal Cloud Computing and Market Research. Journal of the Korea Institute of Information and Communication Engineering, 18(2), 239-251. DOI : 10.6109/jkiice.2014.18.2.239
  16. E. Y. Han. (2011). Personal Cloud Service Competition: Amazon, Google, Apple. Broadcasting Communication Policy, 23(10), 103-114.
  17. F. D. Davis, R. Bagozzi & P. R. Warshaw. (1989). User Acceptance of Computer Technology : A Comparison of Two Theoretical Models. Management Sciences, 35(8), 982-1003. DOI: 10.1287/mnsc.35.8.982
  18. W. B. Dodds & K. B. Monroe. (1985). The Effect of Brand and Price Information on Subjective Product Evaluations, ACR North American Advances.
  19. 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. DOI: 10.2307/1251446
  20. S. H. Kim, J. H. Bae & H. M. Jeon. (2019). Continuous Intention on Accommodation Apps: Integrated Value-Based Adoption and Expectation-Confirmation Model Analysis. Sustainability, 11(6), 1-17. DOI: 10.3390/su11061578
  21. C. C. Chen, K. L. Hsiao & S. J. Wu. (2018). Purchase Intention in Social Commerce: An Empirical Examination of Perceived Value and Social Awareness. Library Hi Tech, 36(4), 583-604. DOI: 10.1108/lht-01-2018-0007
  22. J. H. Jun, I. S. Cho & H. J. Park. (2018). Factors Influencing Continued Use of Mobile Easy Payment Service: An Empirical Investigation. Total Quality Management & Business Excellence, 29(9-10), 1043-1057. DOI: 10.1080/14783363.2018.1486550
  23. Y. H. Kim, Y. J. Park & J. G. Choi. (2017). A Study on the Adoption of IoT Smart Home Sevice: Using Value-based Adoption Model. Total Quality Management & Business Excellence, 28(9-10), 1149-1165. DOI: 10.1080/14783363.2017.1310708
  24. K. K. Seo. (2013). Factor Analysis of the Cloud Service Adoption Intension of Korean Firms: Applying the TAM and VAM. Journal of Digital Convergence, 11(12), 155-160. DOI : 10.14400/JDPM.2013.11.12.155
  25. T. C. Lin, S. Wu, J. S. C. Hsu & Y. C. Chou. (2012). The Integration of Valus-based Adoption and Expectation - Confirmation Models: An Example of IPTV Continuance Intention, Decision Support Systems, 54(1), 63-75. DOI: 10.1016/j.dss.2012.04.004
  26. Y. S. Wang, C. H. Yeh & Y. W. Liao. (2013). What Drives Purchase Intention in the Context of Online Content Services? The Moderating Role of Ethical Self-efficacy for Online Piracy. International Journal of Information Management, 33(1), 199-208 DOI : 10.1016/j.ijinfomgt.2012.09.004
  27. D. Gefen & W. Straub. (2004). Consumer Trust in B2C e-Commerce and the Importance of Social Presence: Experiments in e-Products and e-Services. Omega, 32(6), 407-424. DOI: 10.1016/j.omega.2004.01.006
  28. D. H. McKnight. L. Cummings & C. Kacmar. (2002). Developing and Validating Trust Measures for E-Commerce: An Integrative Typology. Information Systems Research, 13(3), 334-359. DOI: 10.1287/isre.13.3.334.81
  29. S. L. Jarvenpaa & N. Tractinsky. (2006). Consumer Trust in an Internet Store: A Cross-Cultural Validation. Journal of Computer-Mediated Communication, 5(2), 1-35. DOI: 10.1111/j.1083-6101.1999.tb00337.x
  30. H. W. Kim, Y. Xu & S. Gupta. (2012). Which is more Important in Internet Shopping, Perceived Price or Trust?. Electronic Commerce Research and Applications, 11(3), 241-252. DOI: 10.1016/j.elerap.2011.06.003
  31. C. Wang. (2014). Antecedents and Consequences of Perceived Value in Mobile Government Continuance Use: An Empirical Research in China. Computers in Human Behavior, 34, 140-147. DOI: 10.1016/j.chb.2014.01.034
  32. M. M. Al-Debei & E. Al-Lozi. (2014). Explaining and Predicting the Adoption Intention of Mobile Data Services: A Value-based Approach. Computers in Human Behavior, 35, 326-338. DOI: 10.1016/j.chb.2014.03.011
  33. M. C. Lee. (2009). Factors Influencing the Adoption of Internet Banking: An Integration of TAM and TPB with Perceived Risk and Perceived Benefit. Electronic Commerce Research and Applications, 8(3), 130-141. DOI: 10.1016/j.elerap.2008.11.006
  34. P. Thaichon, A. Lobo and A. Mitsis. (2014). Achieving Customer Loyalty through Service Excellence in Internet Industry. International Journal of Quality and Service Sciences, 6(4), 274-289. DOI: 10.1108/ijqss-03-2014-0024
  35. K. L. Hsiao & C. C. Chen. (2017). Value-based Adoption of E-Book Subscription Services: The Roles of Environmental Concerns and Reading Habits. Telematics and Informatics, 34(5), 434-448. DOI: 10.1016/j.tele.2016.09.004
  36. J. C. Nunnally. (1978). Psychometric Theory(2nd ed), New York: McGraw-Hill.
  37. D. W. Barclay, C. A. Higgins & R. L. Thompson. (1995). The Partial Least Squares(PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration. Technology Studies, 2(2), 285-309.
  38. C. Fornell & D. F. Larcker. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382-388. DOI: 10.2307/3150980