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모바일 간편결제 이용의도에 미치는 영향요인에 관한 연구: 자기해석의 조절적 역할을 중심으로

Examining Factors Influencing the Intention to Use Mobile Payment: Focusing on Self-Construal

  • 투고 : 2017.11.20
  • 심사 : 2018.04.20
  • 발행 : 2018.04.28

초록

이 연구에서는 학부생과 대학원생 188명을 대상으로 기술수용모델 변인과 개인 특성 요인, 위험 지각 요인이 모바일 간편결제 이용의도에 미치는 영향에 대해 알아보고자 하였다. 더불어 문화차원 변수인 자기해석이 이러한 영향요인의 효과를 조절하는지 검증하였다. 연구 결과, 인지된 유용성과 주관적 규범, 혁신성, 프라이버시 위험이 모바일 간편결제 이용의도에 긍정적인 영향을 미치고 있었던 반면, 이용 용이성과 자기효능감, 성능 위험은 영향을 미치지 않는 것으로 나타났다. 또한 이 연구에서 조절변인으로 설정하였던 자기해석은 지각된 유용성과 이용 용이성, 주관적 규범이 모바일 간편결제 이용의도에 미치는 영향력을 조절하는 것으로 나타났다. 이는 TAM을 통해 기술수용을 과정을 이해하고자 할 때 자기해석과 같은 문화차원 변인을 고려해야 할 필요성을 시사한다. 본 연구는 자신과 타인을 구분하는 메커니즘으로서 자기해석이 모바일 간편결제 이용의도에 미치는 영향력을 검증함으로써 여러 이론적 실무적 시사점을 제공하고 있다.

The purpose of this study was to examine the influence of variables of TAM, user characteristics variables, and perceived risk variables on the intention to use mobile payment. Through the combination of characteristics of mobile payment, this study also investigated the effect of various independent variables on the intention to use mobile payment including the moderating effect of self-construal. To verify hypotheses of this study, the hierarchical regression analysis based on responses from 188 undergraduate and graduate students was conducted. The significant findings of this study were as follows: TAM variables, user characteristics variables and perceived risk variables had positive influence on the intention to use mobile payment. Self-construal was found to moderate the effect of the perceived usefulness, perceived ease of use and subjective norm. This study may provide important implications for both academicians and practitioners.

키워드

참고문헌

  1. S. H. Lee & D. W. Lee. (2015). FinTech-Conversions of Finance Industry based on ICT. Journal of the Korea Convergence Society, 6(3), 97-102. https://doi.org/10.15207/JKCS.2015.6.3.097
  2. K. B. Kim & J. Y. Yun. (2015). Comparison and Analysis on Mobile Payment in terms of Security: Survey. Journal of Convergence for Information Technology, 5(3), 15-20. https://doi.org/10.22156/CS4SMB.2015.5.3.015
  3. J. S. Lee & J. H. Park. (2018). The Effects of Characteristics of User and System on the Perceived Cognition and the Continuous Use Intention of Fintech. Journal of the Korea Convergence Society, 9(1), 291-301. https://doi.org/10.15207/JKCS.2018.9.1.291
  4. 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. https://doi.org/10.1016/j.chb.2017.10.035
  5. K. Y. Sung. (2015). Convenience and Safety of FinTech Payments : Tokenization. Communications of the Korean Institute of Information Scientists and Engineers, 33(5), 13-16.
  6. Y. M. Kang, Y. G. Lee, H. J. Kwon, K. S. Han & H. S. Chung. (2016). A Study on the Information Security System of Fin-Tech Business. Journal of Convergence for Information Technology, 6(2), 19-24. https://doi.org/10.14801/jaitc.2016.6.2.19
  7. H. Choi & Y. J. Choi. (2016). The Impact Perceived Risk on User's Trust and Continuance Intention in Mobile Payment Systems. Journal of the Korea Institute of Information and Communication Engineering, 20(6), 1096-1102. https://doi.org/10.6109/jkiice.2016.20.6.1096
  8. H. Y. Oh. (2015). A Study of Factors Affecting the Adoption Intention of Mobile Easy Payment Service. Journal of Financial Consumers, 8(1), 33-64.
  9. Markus, H. R. & Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological review, 98(2), 224. https://doi.org/10.1037/0033-295X.98.2.224
  10. Aaker, J. L. & Lee, A. Y. (2001). "I" seek pleasures and "we" avoid pains: The role of self-regulatory goals in information processing and persuasion. Journal of Consumer Research, 28(1), 33-49. https://doi.org/10.1086/321946
  11. Ma, Z., Yang, Z. & Mourali, M. (2014). Consumer adoption of new products: Independent versus interdependent self-perspectives. Journal of Marketing, 78(2), 101-117. https://doi.org/10.1509/jm.12.0051
  12. Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343-1354. https://doi.org/10.1016/j.chb.2009.06.001
  13. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
  14. B. Park. (2011). Integrative Adoption Model of New Media (IAM-NM). Korean Journal of Journalism & Communication Studies, 55(5), 448-479.
  15. Shin, D. H. (2010). Modeling the interaction of users and mobile payment system: Conceptual framework. International Journal of Human-Computer Interaction, 26(10), 917-940. https://doi.org/10.1080/10447318.2010.502098
  16. Koenig-Lewis, N., Marquet, M., Palmer, A. & Zhao, A. L. (2015). Enjoyment and social influence: predicting mobile payment adoption. The Service Industries Journal, 35(10), 537-554. https://doi.org/10.1080/02642069.2015.1043278
  17. J. Hwang & H. S. Yu. (2016). A Study of Factors Affecting the Intention to use a Mobile Easy Payment Service: An Integrated Extension of TAM with Perceived Risk. Journal of Information Technology and Architecture, 13(2), 291-306.
  18. J. H. Han, S. H. Jae, B. H. Kim & J. S. Park. (2015). Effects of Consumer Trust and Perceived Usefulness on Mobile Payments and Online Shopping Website Loyalty. Journal of Digital Convergence, 13(2), 75-87.
  19. J. K. Lee, M. E. Choi & D. Y. Oh. (2015). A Study on the Determinants of Acceptance Intention of Smartphone SNS-based Financial Application. Journal of Cybercommunication Academic Society, 32(4), 123-161.
  20. B. J. Cho & J. S. Lee. (2015). Adoption Factors of Smart Watch : Focusing on Moderate Effects of Innovation Resistance. Journal of Broadcasting and Telecommunications Research, 93, 111-136.
  21. Arvidsson, N. (2014). Consumer attitudes on mobile payment services-results from a proof of concept test. International Journal of Bank Marketing, 32(2), 150-170. https://doi.org/10.1108/IJBM-05-2013-0048
  22. Baron, R. M. & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations". Journal of personality and social psychology, 51(6), 1173-1182. https://doi.org/10.1037/0022-3514.51.6.1173
  23. Venkatesh, V. & Davis, F. D. (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.46.2.186.11926
  24. S. J. Choi & Y. S. Kang. (2016). Consumers' Intentions for the Usage of Mobile Payments: Extending UTAUT with Innovativeness, Trust and Network Effect. Korean telecommunications policy review, 24(3), 29-52.
  25. I. G. Park & D. H. Shin. (2010). Using the Uses and Gratifications Theory to Understand the Usage and the Gratifications of Smartphones. Journal of Communication Science, 10(4), 192-225.
  26. Rogers, E. M. (2010). Diffusion of innovations. New York : Simon and Schuster.
  27. Hirschman, E. C. (1980). Innovativeness, novelty seeking, and consumer creativity. Journal of consumer research, 7(3), 283-295. https://doi.org/10.1086/208816
  28. Kim, C., Mirusmonov, M. & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322. https://doi.org/10.1016/j.chb.2009.10.013
  29. Midgley, D. F. & Dowling, G. R. (1978). Innovativeness: The concept and its measurement. Journal of Consumer Research, 4(4), 229-242. https://doi.org/10.1086/208701
  30. Slade, E. L., Dwivedi, Y. K., Piercy, N. C. & Williams, M. D. (2015). Modeling consumers' adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology & Marketing, 32(8), 860-873. https://doi.org/10.1002/mar.20823
  31. Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84(2), 191. https://doi.org/10.1037/0033-295X.84.2.191
  32. B. C. Hwang, K. S. Chung & M. J. Noh. An Empirical Study on Relationships between Characteristics of Mobile Payment Services and Continuance Intention. Korean Association Of Business Education, 31(4), 591-615.
  33. S. D. Kwon, D. Y. Chun & Y. Y. Kim. (2012) Reexamination of Effect of Perceived Risk on Purchasing Intention. Journal of Information Technology Applications & Management, 19(2), 233-247.
  34. Jarvenpaa, S. L. & Todd, P. A. (1997). Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce, 1(2), 59-88.
  35. C. K. Kim, J. G. Kim & S. J. Choi. (2017). A Study on the Acceptance Decision Factors for Mobile Easy Payment Services in Digital Convergence Media Ara: Focusing Samsung Pay. Journal of Digital Convergence, 15(4), 213-221. https://doi.org/10.14400/JDC.2017.15.4.213
  36. I. S. Jeon & I. H. Bae. (2001). An Exploratory Model to Explain the Chasm on Internet Shopping Adoption. Journal of Korean Marketing Association, 16(4), 47-70.
  37. Yang, Y., Liu, Y., Li, H. & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems, 115(2), 253-269. https://doi.org/10.1108/IMDS-08-2014-0243
  38. S. H. Jang & K. D. Lee. (2014). Privacy risk of Social network service and User Resistance. The e-Business Studies, 15(3), 323-338.
  39. Y. J. Lee & S. I. Kim (2017). Evaluation for User Experience about Service of Fintech - Mainly with Analysis on 'Kakaopay' and 'Naverpay'. Journal of Digital Convergence, 15(4), 387-393. https://doi.org/10.14400/JDC.2017.15.4.387
  40. S. H. Kim & H. S. Park. (2013). An Analysis of Influence Factors on Privacy Protection Awareness and Protection Behavior and moderating Effect of Privacy Invasion Experience. The Journal of Internet Electronic Commerce Research, 13(4), 79-105.
  41. Jacoby, J. & Kaplan, L. B. (1972). The components of perceived risk. ACR Special Volumes.
  42. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474. https://doi.org/10.1016/S1071-5819(03)00111-3
  43. Y. Yang & H. S. Lee. (2017). The influence of self-construal, thinking style, and temporal distance on price-quality judgment. Korean Psychology Association, 18(1), 67-92.
  44. Zhang, Y. & Gelb, B. D. (1996). Matching advertising appeals to culture: The influence of products' use conditions. Journal of advertising, 25(3), 29-46. https://doi.org/10.1080/00913367.1996.10673505
  45. Singelis, T. M. (1994). The measurement of independent and interdependent self-construals. Personality and social psychology bulletin, 20(5), 580-591. https://doi.org/10.1177/0146167294205014
  46. Triandis, H. C. (2001). Individualism-collectivism and personality. Journal of personality, 69(6), 907-924. https://doi.org/10.1111/1467-6494.696169
  47. Mandel, N. (2003). Shifting selves and decision making: The effects of self-construal priming on consumer risk-taking. Journal of Consumer Research, 30(1), 30-40. https://doi.org/10.1086/374700
  48. D. J. Lee. (2016). Product and Channel Characteristics and Perceived Risks in e-Commerce: Implications for Airline and Travel Industries. Aviation Management Society of Korea, 14(1), 99-119.