DOI QR코드

DOI QR Code

A Study on Passengers' Acceptance of Untact Technology Services at Incheon Airport: Application Innovative Expansion Theory and Technology Acceptance Model

인천공항 이용객의 언택트기술 서비스 수용에 관한 연구: 혁신확산이론과 기술수용모델의 적용

  • 박춘미 (한국항공대학교 항공경영학과) ;
  • 김기웅 (한국항공대학교 경영학과)
  • Received : 2024.05.02
  • Accepted : 2024.06.05
  • Published : 2024.06.30

Abstract

This study was conducted to explain airport users' acceptance intention for untact smart devices being introduced at Incheon Airport. Based on the technology acceptance model, perceived usefulness and ease of use influenced attitudes and intention to use. It was verified whether it was affecting the effect. In addition, variables proposed in innovation diffusion theory were selected to verify exogenous variables that affect perceived usefulness and ease of use, which serve as key independent variables in the technology acceptance model. Research results show that perceived usefulness has a high level of positive influence on attitude, whereas perceived ease of use has a low influence and does not show a statistically significant influence. In addition, it was confirmed that most variables of the innovation diffusion theory had no effect on usefulness and ease of use. This means that the key variable in the spread and use of untact smart devices at airports is the perception of usefulness, which means that resistance to accepting new technology is not high.

Keywords

References

  1. Kim, N. D., Jeon, M. Y., Lee, Y. E., Lee, J. Y., Kim, S. Y., Choi, J. H., Seo, Y. H., and Lee, S. J., "Trand Korea 2018", Miraebook, Seoul, 2017. 
  2. Jun, S. H., and Kim, J. H., "Theoretical back- ground and prospects for the untact industry", Journal of New Industry and Business, 38(1), 2020, pp.96-11. 
  3. Horn, M. B., Freeland, J., and Butler, S. M., "Schools as community hubs: Integrating support services to drive educational out- comes", The Brookings Institution, 3, 2015, pp.1-7. 
  4. Yang, J. P., "The influence of personality traits on airline untact check-in: Focusing on mobile check-in use", Ph.D. Thesis, Graduate School of Korea Aerospace University, 2021. 
  5. Oh S. Y., "Beyond the untact, it's on-tact", Marketing, 54(6), 2020, pp.5-61. 
  6. Lu, J. L., Choi, J. K., and Tseng, T. C., "Determinants of passengers' choice of airline check-in services: A case study of American, Australian, Korean, and Taiwanese passengers", Journal of Air Transfort Management, 17(4), 2011, pp.249-252.  https://doi.org/10.1016/j.jairtraman.2010.12.011
  7. Boetsh, T., Biger, T., and Wittmer, A., "A customer-value framework for analyzing airline services", Transportation Journal, 50(3), 2021, pp.251-270.  https://doi.org/10.5325/transportationj.50.3.0251
  8. Incheon International Airport, "2018 Smart Airport Promotion Plan", 2018. 
  9. Incheon International Airport, "Airport Operation Performance in 2Q 2023", 2023. 
  10. Choi, S. R., Park, Y. M., and Jeong, E. S., "The analysis on airline passengers' Intention to use a self check-in kiosk through extended technology acceptance model", Journal of the Korean Society for Aviation and Aeronautics, 30(3), 2022, pp.54-64.  https://doi.org/10.12985/ksaa.2022.30.3.054
  11. Davis, F. D., "Perceived usefulness, perceived ease of use and user acceptance of information technology", MIS Quarterly, 1989, pp.319-340. 
  12. Rogers, E. M., "Lessons for guidelines from the diffusion of innovations", The Joint Commission Journal on Quality Improvement, 21(7), 1995, pp.324-328.  https://doi.org/10.1016/S1070-3241(16)30155-9
  13. Davis, F. D., Bagozzi, R. D., and Warshsw, P. R., "Extrinsic and intrinsic motivation to use computers in the workplace", MIS Journal of Applied Social Psychology, 22(3), 1992, pp.1111-1132.  https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  14. Choi, j. K., and Ji, Y. G., "Investigating the importance of trust onadopting an autonomous vehicle", International Journal of Human-Computer Interact 31(10), 2015, pp.692-702.  https://doi.org/10.1080/10447318.2015.1070549
  15. Golbabaei, F., Yigitcanlar, T., Paz, A., and Bunker, J., "Individual predictors of autonomous vehicle public acceptance and intention to use: A systematic review of the literature", Journal of Open Innovation: Technology, Market and Complexity, 6(4), 2020. 
  16. Lee, E. J., "Differing effects of perceived psychological benefits of wearables adoption by consumer age, need for cognition, and involvement", The Journal of the Convergence on Culture Technology, 6(1), 2020, pp.289-299.  https://doi.org/10.17703/JCCT.2020.6.1.289
  17. Du, N., Tilbury, D., Robert, L., Yang, X. J., and Pradhan, A., "A cross-cultural study of trust building in autonomous vehicles", University of Michigan, 2018. 
  18. Venkatesh, V., Davis, F. D., "A theoretical extension of the technology acceptance model: Four longitudinal field studies", Management Science, 46(2), 2000, pp.186-204.  https://doi.org/10.1287/mnsc.46.2.186.11926
  19. Ladipo, P., Dixon-Ogbechi, B., Enyyinnaya, N., and Akeke, O., "Influence of technology acceptance model(TAM) on customer adoption of e-banking practice in Lagos state", Journal of Social Sciences, 4(3), 2021. pp.124-138.  https://doi.org/10.52326/jss.utm.2021.4(3).13
  20. Oldenburg, B., and Glanz, K., "Diffusion of innovations", Health Behavior and Health Education: Theory, Research and Practice, 4, 2008, pp.313-333. 
  21. Kaur, K., and Rampersad, G., "Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars", Journal of Engineering and Technology Management, 48, 2018, pp.87-96.  https://doi.org/10.1016/j.jengtecman.2018.04.006
  22. Yuen, K. F., Cai, L., Qi, G., and Wang, X., "Factors influencing autonomous vehicle adoption: An application of the technology acceptance model and innovation diffusion theory", Technology Analysis and Strategic Management, 33(5), 2021, pp.505-519.  https://doi.org/10.1080/09537325.2020.1826423
  23. You, J. H., and Park, C., "A comprehensive review of technology acceptance model researches", Entrue Journal of Information Technology, 9(2), 2010, pp.31-50. 
  24. Browne, M. W., and Cudeck, R., "Alternative ways of assessing model fit. In K. A. Bollen and J. S. Long (Eds.), Testing Structural Equation Models", Newbury Park, CA: Sage, 1993, pp.136-162. 
  25. Hu, L. T., and Bentler, P. M., "Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives", Structural Equation Modeling: A Multidisplinary Journal, 1999, 6(1), pp.1-55.  https://doi.org/10.1080/10705519909540118
  26. Song, J. J., "SPSS/AMOS Statistical Analysis Methods Required for Wrting a Thesis", 21st century Ltd., Gyeonggi/Paju, 2016, pp.287-303. 
  27. Ju, H. G., "Analysis of factors affecting the adoption of urban air mobility(UAM)", Ph.D. Thesis, Graduate School of Korea Aerospace University, 2022. 
  28. Oh, J. H., "A study on factors affecting the intention to use the metaverse by applying the extended technology acceptance model(ETAM): Focused on the virtual world metaverse", The Journal of the Korea Contents Association, 21(10), 2021, pp.204-216.  https://doi.org/10.5392/JKCA.2021.21.10.204
  29. Park, J. S., Shin, S. H., and Shin, S. A., "The effect of use motivation of online sports content on sports participation in the untact era based on technology acceptance model(TAM)", The Korean Journal of Sport, 21(1), 2023, pp.169-185. 
  30. Yun, S. U., "A study of integrative adoption model regarding social TV", Journal of Communication Science, 16(2), 2016, pp.145-183.  https://doi.org/10.14696/jcs.2016.06.16.2.145
  31. Kim, Y. H., Jung, K. S., and Lee, J. S., "Influencing factors on intention to use social media book information: Focusing on integrated model of IDT, TAM, and innovation resistance theory", Journal of Culture Industry, 23(3), 2023, pp.145-153. 
  32. Kim, G., Yun, S. U., and Kim, H. T., "A study on the integration model of continuous intention to collect K-POP records using SNS", Journal of Digital Convergence, 18(5), 2020, pp.441-453.  https://doi.org/10.14400/JDC.2020.18.5.441