- 권한신청
- P-ISSN1738-3110
- E-ISSN2093-7717
- SCOPUS
Chinese Female Consumers' Intention to Use Mobile Payment Services
Chinese Female Consumers’ Intention to Use Mobile Payment Services
Choi, Ji-Eun (Kangwon National University, Department of Business Administration)
Kim, Moon-Seop (Kangwon National University, Department of Business Administration)
- 다운로드 수
- 조회수
Abstract
Purpose - This study intended to investigate ways to influence on the Chinese female consumers' use of mobile payment services. For this purpose, this research investigated the relationships among security and compatibility of the mobile payment service, perceived usefulness and perceived ease of use, psychological benefit, and intention to use mobile payment. Research design, data, and methodology - This research developed a structural equation model in which the usefulness, the ease of use, and the psychological benefit are predictors and the intention to use is a dependent variable. Data were collected from China female in Jiangsu and Shandong province. Results - Empirical results showed that the security and the compatibility had a positive influence on the usefulness and the ease of use. The usefulness and the ease of use influenced on the psychological benefit respectively and the psychological benefit had a positive influence on the intention to use. Conclusions - This research contributed to the mobile payment service literature by showing how Chinese women consumers adopt the mobile payment service based on TAM. Moreover, current study introduced the security and the compatibility as antecedents of the usefulness and the ease of use and revealed the mediating role of psychological benefit. Managerially, theses results suggested retailing companies ways to influence on the Chinese female consumers' use of mobile payment services.
- keywords
- Compatibility, Intention to Use, Mobile Payment Service, Psychological Benefit, Security
참고문헌
Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information systems research, 9(2), 204-215.
Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations:A theoretical analysis and review of empirical research. Psychological bulletin, 84(5), 888.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411.
Ashworth, L., Darke, P. R., & Schaller, M. (2005). No one wants to look cheap: Trade‐offs between social disincentives and the economic and psychological incentives to redeem coupons. Journal of Consumer Psychology, 15(4), 295-306.
Bawa, K., & Shoemaker, R. W. (1987). The coupon-prone consumer: some findings based on purchase behavior across product classes. The journal of marketing, 99-110.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 351-370.
Bollen, K. A. (1989). Structural equations with latent variables. New York, NY: Wiley.
Brancheau, J. C., & Wetherbe, J. C. (1990). The adoption of spreadsheet software: Testing innovation diffusion theory in the context of end-user computing. Information systems research, 1(2), 115-143.
Buellingen, F., & Woerter, M. (2004). Development perspectives, firm strategies and applications in mobile commerce. Journal of Business Research, 57(12), 1402-1408.
Butz, A., Baus, J., Krüger, A., & Lohse, M. (2001, January). A hybrid indoor navigation system. In Proceedings of the 6th international conference on Intelligent user interfaces (pp. 25-32).
Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of marketing, 64(4), 65-81.
Chau, P. Y., & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision sciences, 32(4), 699-719.
Chen, Y., & Shang, Y. F. (2018). Factors Influencing Users’Word-of-Mouth Intention Regarding Mobile Apps: An Empirical Study. The Journal of Industrial Distribution &Business, 9(1), 51-65.
Claeys, C., Swinnen, A., & Abeele, P. V. (1995). Consumer's means-end chains for “think” and “feel”products. International Journal of Research in Marketing, 12(3), 193-208.
Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265-284.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.
Financial Service Report of People's Bank of China NO.1 2017.
Gerpott, T. J., Rams, W., & Schindler, A. (2001). Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market. Telecommunications policy, 25(4), 249-269.
Gunasekaran, A., & Nagi, E.W.T. (2003). The Successful Management of a Small Logistics Company. Journal of Physical Distribution & Logistics Management, 33(9), 825-842
Gutman, J. (1982). A means-end chain model based on consumer categorization processes. The Journal of Marketing, 60-72.
Han, S. H. (2011). A Study on Consumer Preference and Purchase Intention to Smart Phone: Focused on Perceived Cost and Expected Benefit. Journal of Korean Home Management Association, 29(2), 23-37.
Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111-122.
Kazemi, A., Javanmard, H., & Mohammadi, R. (2017). Determining the Relationship between the Effective Factors of Strategic Behavior: A Case Study for Social Insurance Company of Tehran. The East Asian Journal of Business Management, 7(1), 5-12.
Kim, S. W., Muna, S. K., & Kang, H. T. (2007). Understanding Consumers’ Intention to use Mobile Payment Services. Korean Institute for Industrial Economics, 20(4), 1739-1766.
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information systems research, 13(2), 205-223.
Kruger, S. J., & Welman, J. C. (2001). Research methodology for the business and administrative sciences. Cape Town: Oxford University Press South Africa.
Lee, C. H. M., Cheng, Y. W., & Depickere, A. (2003). Comparing smart card adoption in Singapore and Australian universities. International Journal of Human-Computer Studies, 58(3), 307-325.
Lee, H. J., & Huh, M. Y. (2017). A Study on the Relationship of Benefits, Quality, and Continuity Intention in Community Services. 8(4), 53-63.
Liao, S., & Ze, Y. (2006). The effects of nonmonetary sales promotions on consumer preferences: The contingent role of product category. Journal of American Academy of Business, 8(2), 196-203.
Liébana-Cabanillas, F., Marinkovic, V., de Luna, I. R., & Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117-130.
Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990). Distinguishing coupon proneness from value consciousness: An acquisition-transaction utility theory perspective. The Journal of Marketing, 54-67.
Long, S. G. J., Park, U. Y., & Lee, J. H. (2018). A Study on the User’s Sustainable Intention of Mobile Tourism:Focused on Chinese Tourists Visiting Korea. The International Journal of Industrial Distribution & Business, 9(5), 47-62.
Mallat, N., Rossi, M., Tuunainen, V. K., & Oorni, A. (2006, January). The impact of use situation and mobility on the acceptance of mobile ticketing services. Proceedings of the 39th Annual Hawaii International Conference, 2. DOI:10.1109/HICSS.2006.472
McDougall, G. H., & Levesque, T. (2000). Customer satisfaction with services: putting perceived value into the equation. Journal of services marketing, 14(5), 392-410.
Moon, Y. E., & Jung, E. J. (2004). A study on the determinants of intention to use mobile banking. The Journal of information systems, 13(2), 89-117.
Na, Y. K., & Hong, B. S. (2008). The effect of the perceived risk, trust of internet shopping on the perceived usefulness, attitude, and purchase intention of the fashion merchandise. Journal of the Korean Society of Clothing and Textiles, 32(5), 834-845.
Peter, J., & Olson, J. C. (1987). Consumer behavior:Marketing strategy perspectives. Reno, NV: Better World Books: West.
Plouffe, C. R., Hulland, J. S., & Vandenbosch, M. (2001). Richness versus parsimony in modeling technology adoption decisions—understanding merchant adoption of a smart card-based payment system. Information systems research, 12(2), 208-222.
Price, L. L., Feick, L. F., & Guskey-Federouch, A. (1988). Couponing behaviors of the market maven: profile of a super couponer. Advances in Consumer Research, 15(1), 354-359.
Reibstein, D. J., & Traver, P. A. (1982). Factors affecting coupon redemption rates. The Journal of Marketing, 102-113.
Rogers, E. M. (1983). Diffusion oflnnovations. New York:Free Press, 1, 14-15.
Seo, Y. S., & Lee, S. S. (2014). A Study on Consumer Satisfaction and Willingness to Recommend by the Innovation Diffusion Theory: Comparison on Different Technology Adoption Stages of Smartphone. consumption culture commerce, 17(1), 89-111.
Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce research and applications, 1(3-4), 247-263.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. The Journal of marketing, 52(3), 2-22.
- 다운로드 수
- 조회수
- 0KCI 피인용수
- 0WOS 피인용수