DOI QR코드

DOI QR Code

혁신저항을 매개로 공항에서 바이오 패스의 사용의도에 영향을 미치는 요인분석

A Study on the Factors Influencing the Intention to Use Bio Pass at Airports through Innovation Resistance

  • 박성훈 (한국항공대학교 일반대학원 항공경영학과) ;
  • 박진우 (한국항공대학교 경영학부)
  • 투고 : 2023.03.27
  • 심사 : 2023.04.13
  • 발행 : 2023.06.30

초록

In the era of the 4th industrial revolution, airports around the world are rapidly pushing for smart airports. One ID service based on biometric technology to eliminate congestion and improve airport operation efficiency is one of them. In particular, biopass, which allows you to use the entire journey with one single token without an ID card or boarding pass from arrival at the airport to boarding an aircraft, is emerging as an important technology for smart airports. This study conducted an empirical analysis to identify factors that affect the intention to use in two aspects: the acceptance, and rejection of bio-pass by combining UTAUT and the innovative resistance model. As a result of the study, it was found that the relative advantages and compatibility had a positive effect on the intention to use, and the perceived risk had a negative effect on the intention to use through innovation resistance. This suggests that infrastructure expansion and usage expansion are needed to use time more efficiently at airports, and that the government, airlines, and airport operators need to cooperate to strengthen the security system to relieve users' psychological anxiety.

키워드

참고문헌

  1. KAC, "Untact Aviation Service due to COVID-19", Korea Airports Corporation & SangMyong University, 2021.
  2. Cho, S. H., and Yoon, H. Y., "A research on the analyzing biometric aviation security system and proposing global standardization to improve aviation safety", Journal of the Korea Academia-Industrial Cooperation Society, 21(5), 2020, pp.637-647.
  3. Dharavath, K., Talukdar, F. A., and Laskar, R. H., "Study on biometric authentication system, challenges and future trends: A review", IEEE International Conference on Computational Intelligence and Computing Research, Dec. 26-28, 2013.
  4. Jung, J. H., "A study on the use of single token using biological information", Autumn Academic Presentation, Aviation Management Socity of Korea, Nov. 30, 2017, pp.163-178.
  5. Kim, S. I., "A study on the acceptance intention for smart phone by the innovation diffusion theory", Ph.D. Thesis, Se-Jong University, 2011.
  6. Rogers, E. M., "Diffusion of Innovations (First Edition)", Free Press, 1983.
  7. Rogers, E. M., "Diffusion of Innovations (Forth Edition)", The Free Press, New York, 1995.
  8. Rogers, E. M., "Diffusion of Innovations (Fifth Edition)", The Free Press, New York, 2003.
  9. Rogers, E. M., and Shoemaker, F. F., "Communication of Innovation: A Cross-Cultural Approach", The Free Press, New York, 1971.
  10. Lee, B. H., "A study on factors affecting innovation resistance and intention of use of social TV non-users: Focused on innovation diffusion theory and innovation resistance model", Journal of Internet Computing and Services, 18(6), 2017, pp. 101-112.
  11. Park, J. S., and Kwon, H. I., "A study on the factors influencing innovation resistance and intention of using on the bio-metrics technology", Korea Association of Information Systems, 27(2), 2018, pp.53-75.
  12. Kleijnen, M., Lee, N., and Wetzels, M., "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, 30(3), 2009, pp. 1-14. https://doi.org/10.1016/j.joep.2009.02.004
  13. Ram, S., "A model of innovation resistance", Advances in Consumer Research, 14(0), 1987, pp.208-212.
  14. Ram, S., and Sheth, J. N., "Consumer resistance to innovations: The marketing problem and its solution," Journal of Production Innovation Management, 6(1), 1989, pp. 20-34. https://doi.org/10.1111/1540-5885.610020
  15. Kim, S. G., "The effect of consumers' innovation resistance to fintech service on intention to recommend", Ph.D. Thesis, Kangwon University, 2018.
  16. Park, J. G., "Integrative adoption model of twitter: An integrated approach to innovation diffusion theory, theroy of acceptance model, innovation resistance", Internet and Information Security, 3(1), 2011, pp.35-63.
  17. Park, J. S., "A study on difference of consumer knowledge and underlying technology perception on introduction of blockchain based transaction authentication technology: Focused on innovation resistance model", Ph.D. Thesis, Chung-Ang University, 2018.
  18. Shin, J. G., and Lee, S. W., "A study of intention to use wrist-worn wearable devices based on innovation resistance model", The Korea Contents Association, 16(6), 2016, pp.123-134. https://doi.org/10.5392/JKCA.2016.16.06.123
  19. Schiffman, L. G., and Kanuk, L. L., "Consumer Behavior (4th ed.)," Prentice Hall Inc., 1991.
  20. Lee, H. S., and Chae, Y. I., "Understanding perceived enjoyment, perceived risk and intention to use smart phone banking services", Journal of Information Technology Service, 12(4), 2013, pp.205-218. https://doi.org/10.9716/KITS.2013.12.4.205
  21. Featherman, M. S., and Pavlou, P. A., "Predicting e-services adoption", International Journal of Human-Computer Studies, 59(4), 2003, pp.451-474. https://doi.org/10.1016/S1071-5819(03)00111-3
  22. Peter, J. P., and Ryan, M. J., "An investigation of perceived risk at the brand level", Journal of Marketing Research, 13(0), 1976, pp.184-188. https://doi.org/10.1177/002224377601300210
  23. Yang, S. H., Hwang, Y. S., and Park, J. K., "A study on the use of fintech payment services based on the UTAUT model", Management and Economic Research, 38(1), 2016, pp.183-209.
  24. Davis, F. D, "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS Quarterly, 13(3), 1989, pp.319-340. https://doi.org/10.2307/249008
  25. Venkatesh V., Morris M. G., Davis G. B., and Davis F. D., "User acceptance of information technology: Toward a unified view", MIS Quarterly, 27(3), 2003, pp.425-478. https://doi.org/10.2307/30036540
  26. Venkatesh V., and Goyal, S, "Expectation dis-confirmation and technology adoption: Poly-nomial modeling and response surface analysis," MIS Quarterly, 34(2), 2010, pp.281-303. https://doi.org/10.2307/20721428
  27. Kwon, O. J., "An empirical study on potential smartphone users", Internet & Information Security, 1(1), 2010, pp.55-83.
  28. Jeon, S. H., Park, N. R., and Lee, C. C., "Study on the factors affecting the intention to adopt public cloud computing service", Entrue Journal of Information Technology, 10(2), 2011, pp.97-112.
  29. Park, I. S., and Ahn, H. C., "A study on the user acceptance model of mobile credit card service based on UTAUT", The e-Business Studies, 13(3), 2012, pp.551-574 https://doi.org/10.15719/GEBA.13.3.201209.551
  30. Shin, H. I., and Lee, C. K., "The influence of innovation characteristics of self-bag drop service on attitude and intention to use", International Journal of Tourism and Hospitality Research, 36(9), 2022, pp.141-155. https://doi.org/10.21298/IJTHR.2022.9.36.9.141
  31. Koo, C. M., Lee, C. S., and Chung, N. H., "The effect of innovativeness, technology resources, and market orientation on individual task performance", Journal of Information Technology Applications & Management, 21(2), 2014, pp.99-126.
  32. Kim, D. B., "Understanding consumers' usage behavior of kiosks at fast food restaurant", Ph.D. Thesis, Kyung Hee University, 2020.
  33. Song, H. S., and Kim, K. C., "Resistance to mobile commerce services," Society for E-business Studies, 11(0), 2006, pp.111-134.
  34. Ghazizadeh, M., Lee, J. D., and Boyle, L. N., "Extending the technology acceptance model to assess automation, cognition", Technology and Work, 14(1), 2012, pp.39-49. https://doi.org/10.1007/s10111-011-0194-3
  35. Peter, J. P., and Ryan, M. J., "An investigation of perceived risk at the brand level," Journal of Marketing Research, 13(2), 1976, pp.186-188. https://doi.org/10.1177/002224377601300210
  36. Kwon, S. D., Chun, D. Y., and Kim, Y. Y., "Reexamination of effect of perceived risk on purchasing intention", Journal of Information Technology Applications & Management, 19(2), 2013, pp.233-247.
  37. Lee, K. Y., "Factors influencing the usage of the mobile payment system" Journal of Business Research, 20(4). 2005, pp.93-119.
  38. Li, Y. H., and Huang, J. W., "Applying theory of perceived risk and technology acceptance model in the online shopping channel", World Academy of Science, Engineering and Technology, 3(5), 2008, pp.757-763.
  39. Bae, J. K., "A study on the determinant factors of innovation resistance and innovation acceptance on internet primary bank services: Combining the theories of innovation diffusion and innovation resistance", The e-Business Studies, 19(2), 2018, pp.91-104. https://doi.org/10.20462/TeBS.2018.4.19.2.91
  40. Kim, Y. H., and Lee, J. E., "The psychological resistance factors against mobile video telephony: Modification of innovation resistance model", Journal of Marketing Management Research, 15(2), 2010, pp.23-41.
  41. Suh, M. S., Ahn, J. W., Lee, E. K., and Oh, D. Y., "Purchasing avoidance of digital convergence products: Focusing on the custom-er's psychological factors and the innovation resistance", The Journal of the Korea Contents Association, 9(1), 2009, pp.270-284. https://doi.org/10.5392/JKCA.2009.9.1.270
  42. Yang, Y. S., and Shin, C. H., "Innovation resistance of consumer in accepting new technology", Archives of Design Research, 23(3), 2010, pp.37-52.
  43. Kim, H. Y., and Kim. G. S., "A study on usage intention of technology-based airline sself-service based on UTAUT2 model", Journal of The Korean Society for Aviation and Aeronautics, 26(4), 2018, pp.54-63. https://doi.org/10.12985/ksaa.2018.26.4.054
  44. Lee, S. H, "A study on the innovation resistance of consumers in adoption process of new product", Ph.D. Thesis, Sung Kyun Kwan University, 1993.