Browse > Article
http://dx.doi.org/10.22156/CS4SMB.2021.11.10.101

An Empirical Study on the Effect of Technology Acceptance of Overseas Direct Purchase on Behavioral Intention and Perceived Availability  

Yoo, Joon-Soo (Dept. of Public Administration, Hallym Polytechnic University)
Jang, Eun-Hee (Division of Distribution and Trade, Woosuk University)
Publication Information
Journal of Convergence for Information Technology / v.11, no.10, 2021 , pp. 101-114 More about this Journal
Abstract
This study aimed to analyze the degree of consumers' expectations for their performance and efforts in using overseas direct purchase, impact of overseas direct purchase on the society, and effect of price value to their intention to use overseas direct purchase in the future. In addition, the significance of overseas direct purchase on the user-perceived availability is empirically analyzed. As a result of the study, it was confirmed that performance expectancy, effort expectancy, social influence, and price value showed significantly positive effect on the intention to use overseas direct purchase in the future. With respect to the perceived availability in using overseas direct purchase, it was found out that effort expectancy and price value had significantly positive effect; however, it appeared that performance expectancy and social influence had no significant effect on the perceived availability of the users.
Keywords
Overseas Direct Purchase; Unified Theory of Acceptance and Use of Technology; Behavioral Intention; Perceived Availability; Online Shopping;
Citations & Related Records
연도 인용수 순위
  • Reference
1 L. Hu & P. M. Bentler. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.   DOI
2 V. Venkatesh, M. G. Morris, G. B. Davis & F. D. Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. Management Information Systems Research Center, University of Minnesota, 27(3), 425-478.
3 H. S. Cho & J. S. Lee. (2016). A Study on Consumer Awareness and Determinants of Overseas Direct Purchase : Focused on Moderating Effects of Logistics Infrastructure and Market Uncertainty. International Commerce and Information Review, 18(3), 23-43.
4 Q. Jie & S. G. Shon. (2017). A Study on Service Characteristics of Website Affecting Chinese Consumer's Consumption Activities towards Foreign Direct Online Shopping(FDOS). Korean Management Consulting Review, 17(2), 125-136.
5 J. H. Jung & J. I. Shin. (2021). The Effect of Quality Factors of Overseas Direct Purchase on Perceived Value and Purchase Intention: The Moderating Effect of Price Sensitivity. Journal of the Korea society of computer and information, 26(3), 173-180. DOI : 10.9708/jksci.2021.26.03.173   DOI
6 S. Kim & J. W. Lim. (2015). The Effects of Consumer Characteristics on the Use of Cross-Border E-Commerce. Korea trade review, 40(4), 21-39.
7 Y. K. Kim. (2012). An Integrated Theoretical Model on the Relationships between the Related Factors of the Technology Acceptance Model. Journal of Industrial Economics and Business, 25(2), 1,639-1,670.
8 J. D. Kim & Y. S. Kim. (2019). A Study on the Improvement of Customs Clearance System According to Increase of Overseas Direct Purchase. MARITIME LAW REVIEW, 31(1), 181-206. DOI : 10.14443/kimlaw.2019.31.1.7   DOI
9 Y. J. Kang & J. W. Lim. (2020). Development Processes and Research Trends of Overseas Direct Purchase. International Commerce and Information Review, 22(3), 3-23.
10 J. H. Kong & H. N. Sung. (2014). Study on Knowledge Sharing Motivation and Information Diffusion of the Web-Maven in the Foreign Direct Purchases Social Media Channels. The Journal of Internet Electronic Commerce Research, 14(6), 257-274.
11 K. T. Kim. (2019), A Study on the Problems and Improvement Measures of Overseas Direct Purchasing - Focused on cases of distribution logistics damage -. Journal of East and Central Asian Studies, 30(1), 19-32.
12 B. H. Sheppard, J. Hartwick & P. R. Warshaw. (1988). The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research. Journal of Consumer Research, 15(3), 325-343.   DOI
13 Y. H. Lee, M. H. Ryu & S. S. Lee. (2015). A Study of Consumer Attitudes and Usage Intentions toward Overseas Direct Online Shopping - Focusing on the Extended Technology Acceptance Model. Journal of Consumer Studies, 26(5), 201-222.
14 Y. R. Lee. (2019). A Study on the Foreign Direct Purchase Satisfaction, Loyalty, and Word of Mouth in Online Shopping Malls. International Commerce and Information Review, 21(3), 3-22. DOI : 10.15798/kaici.2019.21.3.3   DOI
15 E. J. Kim, J. J. Park & J. Y. Park. (2014). Factors Influencing Consumers' Overseas-direct-purchase Behaviors. ADVERTISING RESEARCH, 103, 139-175.
16 B. H. Yu & M. S. Chae. (2015). An Exploratory Study of Factors Affecting Overseas Online Shopping Behavior in Korea : Focusing on Factors of Technology Acceptance Model and Online Shopping Acceptance Model. Journal of Channel and Retailing, 20(2), 247-265.   DOI
17 C. Martins, T. Oliveira & A. Popovic. (2014). Understanding the Internet Banking Adoption: A Unified Theory of Acceptance and Use of Technology and Perceived Risk Application. International Journal of Information Management, 34, 1-13.   DOI
18 J. Zhao, J. S. Park, X. Yue & Y. G. Kim. (2020). A Study on the Influence of Mobile Payment System Characteristics on Technology Acceptance and Continuous Usage Intention: Focusing on Offline Stores. E-Trade Review, 18(1), 49-75. DOI : 10.17255/etr.18.1.202002.49   DOI
19 L. Zhou, L. Dai & D. Zhang. (2007). Online Shopping Acceptance Model - A Critical Survey of Consumer Factors in Online Shopping. Journal of Electronic Commerce Research, 8(1), 41-62.
20 V. Venkatesh, J. Thong & X. Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. Management Information Systems Research Center, University of Minnesota, 36(1), 157-178. DOI : 10.2307/41410412   DOI
21 V. Venkatesh & F. D. Davis. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.   DOI
22 C. J. Ruth. (2000). Applying a Modified Technology Acceptance Model To Determine Factors Affecting Behavioral Intentions to Adopt Electronic Shopping on the World Wide Web : A Structural Equation Modeling Approach. Ph.D. Dissertation, Drexel University.
23 F. D. Davis. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems : Theory and Results. Sloan School of Management, Massachusetts Institute of Technology, 233-250.
24 F. D. Davis. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.   DOI
25 J. C. Lin & H. Lu. (2000). Towards an Understanding of the Behavioural Intention to Use a Web Site. International Journal of Information Management: The Journal for Information Professionals, 20(3), 197-208.   DOI
26 M. Limayem, M. Khalifa & A. Frini. (2000). What Makes Consumers Buy From Internet? A Longitudinal Study of Online Shopping. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 30(4), 421-432. DOI : 10.1109/3468.852436   DOI
27 C. B. Kim & C. H. Min. (2018). An Empirical Study on the Execution Factors Affecting on Corporate Performance in the Global Electronic Commerce. Korea trade review, 43(4), 219-245.   DOI
28 C. B. Kim, C. H. Min & S. A. Park. (2016). A Empirical Study on Determinants Affecting the Participation and Performance of Small and Medium-Size Enterprises in Global Electronic Commerce. International Commerce and Information Review, 18(4), 3-29.
29 J. H. Park. (2015). A Study on the Protection for Consumer on Expending Overseas Direct Purchase - Focus on Guarantee System - . International Commerce and Information Review, 17(2), 173-197. DOI : 10.15798/kaici.17.2.201506.173   DOI
30 C. H. Song & S. Y. Song. (2009). An Empirical Study on the Determinants of e-Trust in Import Agency Service Mall. International Commerce and Information Review, 11(3), 3-24. DOI : 10.15798/kaici.11.3.200909.3   DOI
31 S. H. Lee. (2014). The Impact of Consumers' Motivations on Attitude and Repurchase intention in Overseas direct purchase shopping. The e-business studies, 15(6), 39-55. DOI : 10.15719/geba.15.6.201412.39   DOI
32 N. Mathur. (2015). Perceived Risks towards Online Shopping : An Empirical Study of Indian Customers. International Journal of Engineering Development and Research, 3(2), 296-300.
33 S. Taylor & P. A. Todd. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176.   DOI
34 V. Venkatesh & F. D. Davis. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. A Journal of the Decision Sciences Institute, 27(3), 451-481.   DOI
35 W. G. Cho. (2011). A Comparative Analysis on the Satisfaction of Buyer-Seller and Trust of E-Trade Hub in Northeast Regional based Technology Acceptance Model & Flow Theory. The e-business studies, 12(4), 343-359. DOI : 10.15719/geba.12.4.201111.343   DOI
36 S. H. Han. (2015). A Study on the On-line Overseas Shopping and Customs Clearance System. E-Trade Review, 13(1), 1-23. DOI : 10.17255/etr.13.1.201502.1   DOI
37 K. Y. Hwang. (2004). Relationship between Perceived Attribute and Usage of Portal Site for International Trade. Korea trade review, 29(6), 291-316.
38 J. S. Hwang & H. J. Lee. (2017). A Study on Unified Theory of Acceptance and Use of Technology(UTAUT) Improvement using Meta-Analysis: Focused on Analysis of Korea Citation Index(KCI)-Listed Researches. The Korea Journal of BigData, 2(2), 47-56. DOI : 10.36498/kbigdt.2017.2.2.47   DOI
39 J. J. Hwang & S. Y. Kim. (2018). A Study on Consumption Values, Perceived Risks and Benefits, and Using Intention Toward Cross-Border Online Shopping. Journal of Consumption Culture, 21(2), 19-41. DOI : 10.17053/jcc.2018.21.2.002   DOI
40 A. Molla & P. S. Licker. (2001). E-commerce Systems Success : An Attempt to Extend and Respecify the Delone and MaClean Model of IS Success. Journal of Electronic Commerce Research, 2(4), 131-141.