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http://dx.doi.org/10.14400/JDC.2021.19.1.077

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

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)
Publication Information
Journal of Digital Convergence / v.19, no.1, 2021 , pp. 77-88 More about this Journal
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.
Keywords
Cloud Computing Service; Perceived Value; Trust; Continuance usage intention;
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Times Cited By KSCI : 6  (Citation Analysis)
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1 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   DOI
2 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   DOI
3 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   DOI
4 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   DOI
5 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   DOI
6 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   DOI
7 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   DOI
8 P. Mell & T. Grance. (2011). The NIST Definition of Cloud Computing. National Institute of Standards and Technology, SP800-145, 1-3.
9 E. Y. Han. (2011). Personal Cloud Service Competition: Amazon, Google, Apple. Broadcasting Communication Policy, 23(10), 103-114.
10 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   DOI
11 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   DOI
12 W. B. Dodds & K. B. Monroe. (1985). The Effect of Brand and Price Information on Subjective Product Evaluations, ACR North American Advances.
13 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   DOI
14 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   DOI
15 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   DOI
16 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   DOI
17 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   DOI
18 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   DOI
19 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   DOI
20 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   DOI
21 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   DOI
22 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   DOI
23 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   DOI
24 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   DOI
25 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   DOI
26 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   DOI
27 National Assembly Research Service. (2017). Current Status and Challenges of Cloud Computing, NARS Current Issues Report, 313. 1-93.
28 S. S. Yoo. (2012). Personal Cloud Service Trend. ICT & Media Policy, 24(12), 43-48.
29 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   DOI
30 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   DOI
31 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   DOI
32 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   DOI
33 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   DOI
34 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   DOI
35 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   DOI
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   DOI