Table 1. Variables
Table 2. Results of the Conceptual Reliability and Intent Validity Test for Independent Variables
Table 3. The result of discriminant Validity
Table 4-1. The result of hypothesis1
Table 4-2. The result of hypothesis2
Table 4-3. The result of hypothesis3
- P. J. Hu, O. R. Sheng & K. Y. Ram (1999). Examining the technology acceptance model using physician acceptiance of telemedicine technology. Journal of Management Information Systems Research, 16(2), 91-112.
- 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
- V. Venkatesh & F. D. Davis. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.22.214.171.12426
- V. Venkatesh. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information System Research, 11(4), 342-365. https://doi.org/10.1287/isre.11.4.342.11872
- J. W. Moon & Y. G. Kim. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
- H. Sun & P. Zhang. (2006). Causal relationships between perceived enjoyment and perceived ease of use: An alternative approach. Journal of the Association for Information Systems, 7(9), 618-645. https://doi.org/10.17705/1jais.00100
- H. Sun & P. Zhang. (2008). An exploration of affect factors and their role in user technology acceptance: Mediation and causality. Journal of the American Society for Information Science and Technology, 59(8), 1252-1263. https://doi.org/10.1002/asi.20819
- X. Tong. (2010). A cross-national investigation of an extended technology acceptance model in the online shopping context. International Journal of Retail & Distribution Management, 38(10), 742-759. https://doi.org/10.1108/09590551011076524
- E. Park, S. Baek, J. Ohm & H. J. Chang. (2014). Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model. Telematics and Informatics, 31(1), 3-15. https://doi.org/10.1016/j.tele.2013.07.001
- 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, 24(14), 11-32.
- M. Igbaria, J. Iivari & H. Maragahh. (1995). Why do individuals use computer technology? A Finnish case study. Information & Management, 29(5), 227-238. https://doi.org/10.1016/0378-7206(95)00031-0
- S. G Jung & J. H. Yang. (2013). A study on relationship among relational benefits, satisfaction and customer loyalty: focused on the moderating effects of consumer's innovativeness & rationality. Journal of Marketing Management Research, 18(2), 47-72.
- J. Kim, N. Christodoulidou & Y. Choo. (2013). Factors influencing customer acceptanceof kiosks at quick service restaurants. Journal of Hospitality and Tourism Technology, 4(1), 40-63. https://doi.org/10.1108/17579881311302347
- S. H. Lee & D. W. Lee. (2018). A study on ICT technology leading change of unmanned store. Journal of the Korea Convergence Society, 8(4), 109-114.
- M. L. Meuter, A. L. Ostrom, R. I. Roundtree & M. J. Bitner. (2000). Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of marketing, 64(3), 50-64. https://doi.org/10.1509/jmkg.126.96.36.19924
- R. P. Bagozzi. (2007). The legacy of the technology acceptance model and aproposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244-254. https://doi.org/10.17705/1jais.00122
- B. O. Jeong. (2016). Effects of perceived usefulness, perceived ease of use and perceived enjoyment on intention to use tourism application: moderating effects of demographic characteristics. International Journal of Tourism and Hospitality Research, 30(1), 101-121. https://doi.org/10.21298/IJTHR.2016.01.30.1.101
- C. W. Yoo, Y. J. Kim, J. H. Moon & Y. C. Choe. (2008). The effect of Herding behavior and perceived usefulness on intention to purchase e-learning content: comparison analysis by purchase experience. Journal of MIS Research, 18(4), 105-130.
- C. S. Ong & J. Y. Lai. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22(5), 816-829. https://doi.org/10.1016/j.chb.2004.03.006
- H. C. Yang & I. K. Jeong. (2011). A study of the characteristics of different smart-phone user types: between users and non-users of applications. Journal of Cyber Society & Culture, 2(1), 17-49.
- T. S. H. Teo, V. K. G. Lim & R. Y. C. Lai. (1999). Intrinsic and extrinsic motivation in internet usage. The International Journal of Management Science, 27, 25-37.
- R. Oliver. (1980). Measurement and evaluation of satisfaction process in retail setting. Journal of Retailing, 57(Fall), 25-48.
- J. D. Barsky & R. Labagh. (1992). A strategy for customer satisfaction. Cornell Hotel and Restaurant Administration Quality, 33(5), 32-40. https://doi.org/10.1177/001088049203300524
- S. D. Kim & Y. K. Ha. (2016). The mediating effects of customer-company identification on the relationship between service quality and referral intention: focused on the hotel restaurants. Tourism Research, 41(2), 1-19.
- R. Oliver. (1997). Satisfaction: A behavioral perspective on the consumer. New York: The McGraw-Hill Companies, Inc. International Eddition.
- R. Oliver & J. Swan. (1989). Consumer perceptions of interpersonal equity and satisfaction in transactions : A field survey approach. Journal of Marketing, 53(April), 21-35. https://doi.org/10.1177/002224298905300305
- Jone D. Holmes & J. D. Lett, Jr. (1977). Product sampling and world-of-mouth. Journal of Advertising Research, 17(October), 35-40.
- S. H. Ju, M. Y. Song & B. K. Kim. (2018). The effect of personal trait on perceived value and recommendation intention: focus on one-person media contents. Journal of the Korea Convergence Society, 9(12), 159-167. https://doi.org/10.15207/JKCS.2018.9.12.159
- V. Venkatesh & M. G. Morris. (2000). Why don't men ever stop to ask for directions? Genders, scial influence, and their role in thechnology acceptance and usage behavior. MIS Quarterly, 24(1), 115-139. https://doi.org/10.2307/3250981
- J. J. Cronin & S. A. Taylor. (1992). A loguitudinal analysis of the impact of service changes on customer attitudes. Journal of Marketing, 55, 1-9.
- L. Harris & M. Goode. (2004). The four levels of Loyalty and the pivotal role of trust: A sudy of online service dynamics. Journal of Retailing, 80(2), 139-158. https://doi.org/10.1016/j.jretai.2004.04.002
- Jum C. Nunnally. (1967). Psychimetric Theory. 1st ed., New York: McGraw-Hill.