Journal of the Korean Society for Aviation and Aeronautics (한국항공운항학회지)

The Korean Society for Aviation and Aeronautics (한국항공운항학회)
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A Study on the Perception of Airline Non-Face-to-Face Boarding Service among Chinese Travelers

중국 여행객의 항공사 비대면 탑승수속 서비스에 대한 인식 연구

  • 장흔수 (경희대학교 경영학과) ;
  • 이영우 (칼빈대학교 글로벌문화경영학과)
  • Received : 2024.04.15
  • Accepted : 2024.05.30
  • Published : 2024.06.30
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Abstract

This study is based on the Expectation Confirmation Theory (ECT) and categorizes trust types in non-face-to-face boarding services into three dimensions: structural assurance, platform, and service provider. It analyzes the impact of these trust types on users' perceived usefulness, satisfaction, and continuous usage intentions. Using a structural equation model, the study found that the three dimensions of trust positively influence users' satisfaction and perception of usefulness, thereby promoting intentions for continuous use. However, perceived risk weakens the positive relationship between trust and continuous usage intentions. By exploring the moderating role of perceived risk in non-face-to-face boarding services, this study analyzes its impact on user behavior patterns, contributing to the optimization of service design and enhancement of user trust. This study promotes widespread acceptance and continuous use of the service, and is crucial for developing effective non-contact service strategies that meet the needs and expectations of Chinese travelers in the post-pandemic travel environment. The findings provide a new perspective and empirical evidence for understanding user attitudes and behaviors towards non-face-to-face services, holding significant theoretical and practical implications.

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References

  1. Bandara, R., Fernando, M., and Akter, S., "Explicating the privacy paradox: A qualitative inquiry of online shopping consumers", Journal of Retailing and Consumer Services, 52, 2020, pp.101947.
  2. Bhattacherjee, A., "Understanding information systems continuance: An expectation-confirmation model", MIS Quarterly, 2001, pp.351-370.
  3. Chen, S. C., Liu, M. L., and Lin, C. P., "Integrating technology readiness into the expectation-confirmation model: An empirical study of mobile services", Cyberpsychology, Behavior and Social Networking, 16(8), 2013, pp.604-612. https://doi.org/10.1089/cyber.2012.0606
  4. Cheng, P., OuYang, Z., and Liu, Y., "Understanding bike sharing use over time by employing extended technology continuance theory", Transportation Research Part A: Policy and Practice, 124, 2019, pp.433-443. https://doi.org/10.1016/j.tra.2019.04.013
  5. Choi, H. K., and Lee, S. H., "Needs analysis for non-face-to-face services among older adults to reduce loneliness", Healthcare, 10(8), 2022, pp.1576.
  6. Daghan, G., and Akkoyunlu, B., "Modeling the continuance usage intention of online learning environments", Computers in Human Behavior, 60, 2016, pp.198-211. https://doi.org/10.1016/j.chb.2016.02.066
  7. Dinev, T., and Hart, P., "Privacy concerns and levels of information exchange: An empirical investigation of intended e-services use", E-Service, 4(3), 2006, pp.25-60. https://doi.org/10.2979/esj.2006.4.3.25
  8. Eastlick, M. A., Lotz, S. L., and Warrington, P., "Understanding online B-to-C relationships: An integrated model of privacy concerns, trust, and commitment", Journal of Business Research, 59(8), 2006, pp.877-886. https://doi.org/10.1016/j.jbusres.2006.02.006
  9. Halilovic, S., and Cicic, M., "Antecedents of information systems user behaviour-extended expectation-confirmation model", Behaviour & Information Technology, 32, 2013, pp.359-370. https://doi.org/10.1080/0144929X.2011.554575
  10. Jumaan, I. A., Hashim, N. H., and Al-Ghazali, B. M., "The role of cognitive absorption in predicting mobile internet users' continuance intention: An extension of the expectation-confirmation model", Technology in Society, 63, 2020, pp.101355.
  11. Khan, N., and Efthymiou, M., "The use of biometric technology at airports: The case of customs and border protection (CBP)", International Journal of Information Management Data Insights, 1(2), 2021, pp.100049.
  12. Kondylakis, H., Katehakis, D. G., Kouroubali, A., Logothetidis, F., Triantafyllidis, A., Kalamaras, I., Votis, K., and Tzovaras, D., "COVID-19 mobile apps: A systematic review of the literature", Journal of Medical Internet Research, 22(12), 2020, pp.e23170.
  13. Lee, J., and Kim, Y. K., "Online reviews of restaurants: Expectation-confirmation theory", Journal of Quality Assurance in Hospitality & Tourism, 21, 2020, pp.582-599. https://doi.org/10.1080/1528008X.2020.1712308
  14. Lee, Z. W., Chan, T. K., Balaji, M. S., and Chong, A. Y. L., "Why people participate in the sharing economy: An empirical investigation of uber", Internet Research, 28(3), 2018, pp.829-850. https://doi.org/10.1108/IntR-01-2017-0037
  15. Liang, L. J., Choi, H. C., and Joppe, M., "Exploring the relationship between satisfaction, trust and switching intention, repurchase intention in the context of Airbnb", International Journal of Hospitality Management, 69, 2018, pp.41-48. https://doi.org/10.1016/j.ijhm.2017.10.015
  16. Lim, D. H., and Lee, D. W., "Non-face-to-face public services and perceptions of public organizations", Sustainability, 13(21), 2021, pp.12185.
  17. Liu, C., Marchewka, J. T., Lu, J., and Yu, C. S., "Beyond concern-A privacy-trust-behavioral intention model of electronic commerce", Information & Management, 42(2), 2005, pp.289-304. https://doi.org/10.1016/j.im.2004.01.003
  18. Martin, K. D., and Murphy, P. E., "The role of data privacy in marketing", Journal of the Academy of Marketing Science, 45(2), 2017, pp.135-155. https://doi.org/10.1007/s11747-016-0495-4
  19. Martinez-Caro, E., Cegarra-Navarro, J. G., Garcia-Perez, A., and Fait, M., "Healthcare service evolution towards the Internet of Things: An end-user perspective", Technological Forecasting and Social Change, 136, 2018, pp.268-276. https://doi.org/10.1016/j.techfore.2018.03.025
  20. Mayer, R. C., Davis, J. H., and Schoorman, F. D., "An integrative model of organizational trust", Academy of Management Review, 20(3), 1995, pp.709-734. https://doi.org/10.2307/258792
  21. McKnight, D. H., and Chervany, N. L., "What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology", International Journal of Electronic Commerce, 6(2), 2001, pp.35-59. https://doi.org/10.1080/10864415.2001.11044235
  22. McKnight, D. H., Choudhury, V., and Kacmar, C., "Developing and validating trust measures for e-commerce: An integrative typology", Information Systems Research, 13(3), 2002, pp.334-359. https://doi.org/10.1287/isre.13.3.334.81
  23. Minaee, S., Abdolrashidi, A., Su, H., Bennamoun, M., and Zhang, D., "Biometrics recognition using deep learning: A survey", Artificial Intelligence Review, 56(8), 2023, pp.8647-8695.
  24. Mou, J., Shin, D. H., and Cohen, J., "Understanding trust and perceived usefulness in the consumer acceptance of an e-service: A longitudinal investigation", Behaviour & Information Technology, 36(2), 2017, pp.125-139. https://doi.org/10.1080/0144929X.2016.1203024
  25. Oliver, R. L., "A cognitive model of the antecedents and consequences of satisfaction decisions", Journal of Marketing Research, 17(4), 1980, pp.460-469. https://doi.org/10.1177/002224378001700405
  26. Orrange, S., Patel, A., Mack, W. J., and Cassetta, J., "Patient satisfaction and trust in telemedicine during the COVID-19 pandemic: Retrospective observational study", JMIR Human Factors, 8(2), 2021, pp.e28589.
  27. Ping Jr, R. A., "A parsimonious estimating technique for interaction and quadratic latent variables", Journal of Marketing Research, 32(3), 1995, pp.336-347. https://doi.org/10.1177/002224379503200308
  28. Prasetya, F. H., Harnadi, B., Widiantoro, A. D., and Pamudji, A. K., "Expectation-confirmation model (ECM) to see Satisfaction and continued intention of e-learning ("Cyber")", 2022 6th International Conference on Information Technology (InCIT), 2022, pp.303-308.
  29. Shareef, M. A., Dwivedi, Y. K., Archer, N., and Rahman, M. M., "Patient attitudes toward physicians: Benchmarking consumer perceptions from 15 countries", Benchmarking: An International Journal, 26(1), 2018, pp.19-47. https://doi.org/10.1108/BIJ-11-2017-0298
  30. Shareef, M. A., Kumar, V., Dwivedi, Y. K., Kumar, U., Akram, M. S., and Raman, R., "A new health care system enabled by machine intelligence: Elderly people's trust or losing self control", Technological Forecasting and Social Change, 162, 2021, pp.120334.
  31. Shiwakoti, N., Hu, Q., Pang, M. K., Cheung, T. M., Xu, Z., and Jiang, H., "Passengers' perceptions and satisfaction with digital technology adopted by airlines during COVID-19 pandemic", Future Transportation, 2(4), 2022, pp.988-1009. https://doi.org/10.3390/futuretransp2040055
  32. Singh, J., and Sirdeshmukh, D., "Agency and trust mechanisms in consumer satisfaction and loyalty judgments", Journal of the Academy of Marketing Science, 28(1), 2000, pp.150-167. https://doi.org/10.1177/0092070300281014
  33. Tam, C., Santos, D., and Oliveira, T., "Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model", Information Systems Frontiers, 22, 2018, pp.243-257. https://doi.org/10.1007/s10796-018-9864-5
  34. Taylor, D. G., Davis, D. F., and Jillapalli, R., "Privacy concern and online personalization: The moderating effects of information control and compensation", Electronic Commerce Research, 9(3), 2009, pp.203-223. https://doi.org/10.1007/s10660-009-9036-2
  35. Wicks, A. C., Berman, S. L., and Jones, T. M., "The structure of optimal trust: Moral and strategic implications", Academy of Management Review, 24(1), 1999, pp.99-116. https://doi.org/10.2307/259039
  36. Wolverton, C., Hirschheim, R., Black, W., and Burleson, J., "Outsourcing success in the eye of the beholder: Examining the impact of expectation confirmation theory on IT outsourcing", Information & Management, 57(6), 2020, pp.103236.
  37. Younan, M., Houssein, E. H., Elhoseny, M., and Ali, A. A., "Challenges and recommended technologies for the industrial internet of things: A comprehensive review", Measurement, 151, 2020, pp.107198.
  38. Zhao, Y., Ni, Q., & Zhou, R., "What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age", International Journal of Information Management, 43, 2018, pp.342-350. https://doi.org/10.1016/j.ijinfomgt.2017.08.006