Impact of innovation characteristics of airport self-bag-drop service on attitude, trust, and behavioural intention: using trust transfer theory

References

• Aaker, D. A. (1996). Building strong brands. The Free Press.
   Google Scholar
• Agag, G., & El-Masry, A. A. (2016). Understanding consumer intention to participate in an online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in Human Behavior, 60, 97–111. https://doi.org/10.1016/j.chb.2016.02.038
   Web of Science ®Google Scholar
• Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888–918. https://doi.org/10.1037/0033-2909.84.5.888
   Web of Science ®Google Scholar
• Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile banking adoption: Application of diffusion of innovation theory. Journal of Electronic Commerce Research, 13(4), 379–391.
   Web of Science ®Google Scholar
• Almohtadi, R. M., & Aldarabah, I. T. (2020). University students’ attitudes toward the formal integration of Facebook in their education: Investigation guided by Rogers’ attributes of innovation. World Journal of Education, 10(4), 130–138. https://doi.org/10.5430/wje.v10n4p130
   Google Scholar
• Back, K. J., Lee, C. K., & Abbott, J. (2011). Internal relationship marketing: Korean casino employees’ job satisfaction and organizational commitment. Cornell Hospitality Quarterly, 52(2), 111–124. https://doi.org/10.1177/1938965510370742
   Web of Science ®Google Scholar
• Beneke, J., Mill, J., Naidoo, K., & Wickham, B. (2015). The impact of willingness to engage in negative electronic word-of-mouth on brand attitude: A study of airline passengers in South Africa. Journal of Business and Retail Management Research, 9(2). https://doi.org/10.24052/JBRMR/V12IS02/BPACACSOSBCIPATUK
   Google Scholar
• Bruno, G., Diglio, A., Genovese, A., & Piccolo, C. (2019). A decision support system to improve performances of airport check-in services. Soft Computing, 23(9), 2877–2886. https://doi.org/10.1007/s00500-018-3301-z
   Web of Science ®Google Scholar
• Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–25. https://doi.org/10.1111/j.1365-2575.2005.00183.x
   Web of Science ®Google Scholar
• Chang, H. L., & Yang, C. H. (2008). Do airline self-service check-in kiosks meet the needs of passengers? Tourism Management, 29, 980–993. https://doi.org/10.1016/j.tourman.2007.12.002
   Web of Science ®Google Scholar
• Chen, J., Zhang, C., & Xu, Y. (2009). The role of mutual trust in building members’ loyalty to a C2C platform provider. International Journal of Electronic Commerce, 14(1), 147–171. https://doi.org/10.2753/JEC1086-4415140105
   Web of Science ®Google Scholar
• Chen, X., Huang, Q., Davison, R. M., & Hua, Z. (2015). What drives trust transfer? The moderating roles of seller-specific and general institutional mechanisms. International Journal of Electronic Commerce, 20(2), 261–289. https://doi.org/10.1080/10864415.2016.1087828
   Web of Science ®Google Scholar
• Chiang, H. -S. (2013). Continuous usage of social networking sites. Online Information Review, 37(6), 851–871. http://doi.org/10.1108/OIR-08-2012-0133
   Web of Science ®Google Scholar
• Chinomona, R. (2013). The influence of brand experience on brand satisfaction, trust and attachment in South Africa. International Business & Economics Research Journal (IBER), 12(10), 1303–1316. https://doi.org/10.19030/iber.v12i10.8138
   Google Scholar
• Colby, M. (2019). Self-service bag drops and the challenges of speeding up airport baggage check-in. Retrieved November 24, 2021, from. https://www.stantec.com/en/ideas/self-service-bag-drops-and-the-challenges-of-speeding-up-airport-baggage-check-in
   Google Scholar
• Curran, J. M., & Meuter, M. L. (2005). Self-service technology adoption: Comparing three technologies. Journal of Services Marketing, 19(2), 103–113. https://doi.org/10.1108/08876040510591411
   Google Scholar
• Dash, M. (2014). Determinants of customers’ adoption of mobile banking: An empirical study by integrating diffusion of innovation with attitude. Journal of Internet Banking and Commerce, 19(3), 25–29.
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer-seller relationships. Journal of Marketing, 61(2), 35–51. https://doi.org/10.1177/00222429970610020
   Web of Science ®Google Scholar
• El Naggar, R. A. A., & Bendary, N. (2017). The impact of experience and brand trust on brand loyalty, while considering the mediating effect of brand equity dimensions, an empirical study on mobile operator subscribers in Egypt. The Business & Management Review, 9(2), 16–25.
   Google Scholar
• Embrain. (2020). Online research. Retrieved December 28, 2020, from. https://mail.google.com/mail/u/0/?tab=wm&ogbl#inbox
   Google Scholar
• Ferber, R., & Verdoorn, P. J. (1962). Research methods in economics & business. The Macmillan Company.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quarterly, 389–400. http://doi.org/10.2307/249720
   Web of Science ®Google Scholar
• Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7). Pearson Education.
   Google Scholar
• Harman, D. (1967). A single factor test of common method variance. Journal of Psychology, 35(1967), 359–378.
   Google Scholar
• Harrington, S. J., & Ruppel, C. P. (1999). Telecommuting: A test of trust, competing values, and relative advantage. IEEE transactions on professional communication, 42(4), 223–239. https://doi.org/10.1109/47.807960
   Google Scholar
• Hu, H., & Zhang, D. (2019). Impact of social media influencers' endorsement on application adoption: A trust transfer perspective. Social Behavior and Personality: An International Journal, 47(11), 1–12. https://doi.org/10.2224/sbp.8518
   Web of Science ®Google Scholar
• Incheon International Airport Corporation. (2019). Leading value creator. Retrieved December 9, 2020. https://www.airport.kr/co_file/en/file01/brochure_2019.pdf
   Google Scholar
• Jiang, H. (2013). An investigation of airline service quality and passenger satisfaction – The case of China Eastern Airlines in Wuhan region. International Journal of Aviation Management, 2(1/2), 54–65. https://doi.org/10.1504/IJAM.2013.053048
   Google Scholar
• Kang, S. E., Park, C., Lee, C. K., & Lee, S. (2021). The stress-induced impact of COVID-19 on tourism and hospitality workers. Sustainability, 13(3), 1327. https://doi.org/10.3390/su13031327
   Web of Science ®Google Scholar
• Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280. https://doi.org/10.1016/j.techsoc.2020.101280
   Web of Science ®Google Scholar
• Kaushik, A. K., Agrawal, A. K., & Rahman, Z. (2015). Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents. Tourism Management Perspectives, 16, 278–289. https://doi.org/10.1016/j.tmp.2015.09.002
   Web of Science ®Google Scholar
• Kim, G., & Cho, J. (2004). The relationships of importance-performance and satisfaction on airline service quality. Korean Journal of Tourism Research, 46–67.
   Google Scholar
• Kim, J. H., & Park, J. W. (2019a). The effect of airport self-service characteristics on passengers’ technology acceptance and behavioral intention. Journal of Distribution Science, 17(5), 29–37. https://doi.org/10.15722/jds.17.5.201905.29
   Google Scholar
• Kim, J. H., & Park, J. W. (2019b). The effect of airport self-service characteristics on passengers’ perceived value, satisfaction, and behavioral intention: Based on the SOR model. Sustainability, 11(19), 5352. https://doi.org/10.3390/su11195352
   Web of Science ®Google Scholar
• Kim, M. J., Lee, C. K., & Contractor, N. S. (2019). Seniors’ usage of mobile social network sites: Applying theories of innovation diffusion and uses and gratifications. Computers in Human Behavior, 90, 60–73. https://doi.org/10.1016/j.chb.2018.08.046
   Web of Science ®Google Scholar
• Kim, M. J., Lee, C. K., Petrick, J. F., & Kim, Y. S. (2020). The influence of perceived risk and intervention on international tourists’ behavior during the Hong Kong protest: Application of an extended model of goal-directed behavior. Journal of Hospitality and Tourism Management, 45, 622–632. https://doi.org/10.1016/j.jhtm.2020.11.003
   Web of Science ®Google Scholar
• Ko, S., & Kim, H. (2012). Effects of company trust and FLSE’s trust on loyalty in the airline industry. The Journal of the Korea Contents Association, 12(9), 468–478. https://doi.org/10.5392/JKCA.2012.12.09.468
   Google Scholar
• Koh, N. S., Hu, N., & Clemons, E. K. (2010). Do online reviews reflect a product’s true perceived quality? An investigation of online movie reviews across cultures. Electronic Commerce Research and Applications, 9(5), 374–385. https://doi.org/10.1016/j.elerap.2010.04.001
   Web of Science ®Google Scholar
• Korean Air. (2022). Self-service bag drop. Retrieved September 8, 2022, from https://www.koreanair.com/kr/en/airport/check-in/airport-check-in/self-bagdrop
   Google Scholar
• Lee, Y. H., Hsieh, Y. C., & Hsu, C. N. (2011). Adding innovation diffusion theory to the technology acceptance model: Supporting employees’ intentions to use e-learning systems. Journal of Educational Technology & Society, 14(4), 124–137.
   Web of Science ®Google Scholar
• Lee, Y. K., Kim, S., Lee, C. K., & Kim, S. H. (2014). The impact of a mega event on visitors’ attitude toward hosting destination: Using trust transfer theory. Journal of Travel & Tourism Marketing, 31(4), 507–521. http://doi.org/10.1080/10548408.2014.883347
   Web of Science ®Google Scholar
• Leung, L., & Matanda, M. (2013). The impact of basic human needs on the use of retailing self-service technologies: A study of self-determination theory. Journal of Retailing and Consumer Services, 20(6), 549–559. https://doi.org/10.1016/j.jretconser.2013.06.003
   Google Scholar
• Lin, H. F. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252–260. https://doi.org/10.1016/j.ijinfomgt.2010.07.006
   Web of Science ®Google Scholar
• Liou, J. J., Hsu, C. C., Yeh, W. C., & Lin, R. H. (2011). Using a modified grey relation method for improving airline service quality. Tourism Management, 32(6), 1381–1388. https://doi.org/10.1016/j.tourman.2011.01.013
   Web of Science ®Google Scholar
• Lu, J. L., Chou, H. Y., & Ling, P. C. (2009). Investigating passengers’ intentions to use technology-based self check-in services. Transportation Research Part E: Logistics and Transportation Review, 45(2), 345–356. https://doi.org/10.1016/j.tre.2008.09.006
   Web of Science ®Google Scholar
• Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393–403. https://doi.org/10.1016/j.im.2011.09.006
   Web of Science ®Google Scholar
• Meng, F., Guo, X., Peng, Z., Lai, K. H., & Zhao, X. (2019). Investigating the adoption of mobile health services by elderly users: Trust transfer model and survey study. JMIR mHealth and uHealth, 7(1), e12269. https://doi.org/10.2196/12269
   PubMed Web of Science ®Google Scholar
• Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50–64. https://doi.org/10.1509/jmkg.64.3.50.18024
   Web of Science ®Google Scholar
• Min, S., So, K. K. F., & Jeong, M. (2019). Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model. Journal of Travel & Tourism Marketing, 36(7), 770–783. https://doi.org/10.1080/10548408.2018.1507866
   Web of Science ®Google Scholar
• Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192
   Web of Science ®Google Scholar
• Noh, M., & Kim, D. (2012). An effect of the innovative characteristics of the electronic medical record on the satisfaction, trust, and loyalty. Korea Association of Business Education, 27(4), 87–109.
   Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344. https://doi.org/10.1016/j.ijresmar.2009.08.001
   Web of Science ®Google Scholar
• Rogers, E. M. (1962). Diffusion of Innovations (1st ed.). Free Press.
   Google Scholar
• Rogers, E. M. (1983). Diffusion of Innovations (3rd ed.). Free Press.
   Google Scholar
• Rogers, E. M. (1995). Diffusion of innovations (4th ed.). Free Press.
   Google Scholar
• Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
   Google Scholar
• Rotter, J. B. (1967). A new scale for the measurement of interpersonal trust. Journal of Personality, 35(4), 651–665. https://doi.org/10.1111/j.1467-6494.1967.tb01454.x
   PubMed Web of Science ®Google Scholar
• Sabatova, J., Galanda, J., Adamčík, F., Jezný, M., & Šulej, R. (2016). Modern trends in airport self-check-in kiosks. MAD – Magazine of Aviation Development, 4(20), 10–15. https://doi.org/10.14311/MAD.2016.20.02
   Google Scholar
• Sahin, I. (2006). Detailed review of Rogers’ diffusion of innovations theory and educational technology-related studies based on Rogers’ theory. Turkish Online Journal of Educational Technology-TOJET, 5(2), 14–23.
   Google Scholar
• Shi, S., & Chow, W. S. (2015). Trust development and transfer in social commerce: Prior experience as moderator. Industrial Management & Data Systems, 115(7), 1182–1203. https://doi.org/10.1108/IMDS-01-2015-0019
   Web of Science ®Google Scholar
• SITA. (2017). Air transport IT trends insights 2017. Retrieved December 9, 2020, from https://www.sita.aero/resources/type/surveys-reports/it-trends-insights-2017
   Google Scholar
• SITA. (2019). Air transport IT trends insights 2019. Retrieved December 12, 2020, from https://www.sita.aero/resources/surveys-reports/air-transport-it-insights-2019/
   Google Scholar
• Stubbs, A. T. (2021). Live video streaming best practices for businesses. Retrieved January 17, 2021, from https://livestream.com/blog/livestreaming-for-business
   Google Scholar
• Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. https://doi.org/10.1287/isre.6.2.144
   Web of Science ®Google Scholar
• Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, EM-29(1), 28–45. https://doi.org/10.1109/TEM.1982.6447463
   Web of Science ®Google Scholar
• Tümer, M., Aghaei, I., Öney, E., & Eddine, Y. N. (2019). The impact of traditional and social media marketing on customers’ brand trust and purchase intentions in the Turkish airline market. Journal of Research in Emerging Markets, 1(4), 55–68. https://doi.org/10.30585/jrems.v1i4.344
   Google Scholar
• Tunčikienė, Ž., & Katinas, R. (2020). Solutions for improving the partnership between airport and airline companies. Business, Management and Economics Engineering, 18(2), 247–264. https://doi.org/10.30585/jrems.v1i4.344
   Google Scholar
• Van Gelder, M. M., Bretveld, R. W., & Roeleveld, N. (2010). Web-based questionnaires: The future in epidemiology? American Journal of Epidemiology, 172(11), 1292–1298. https://doi.org/10.1093/aje/kwq291
   PubMed Web of Science ®Google Scholar
• Wang, Y., Meister, D., & Wang, Y. (2011). Reexamining relative advantage and perceived usefulness: An empirical study. International Journal of Information and Communication Technology Education (IJICTE), 7(1), 46–59. https://doi.org/10.4018/jicte.2011010105
   Google Scholar
• Warshaw, P. R., & Davis, F. D. (1985). Disentangling behavioral intention and behavioral expectation. Journal of Experimental Social Psychology, 21(3), 213–228. https://doi.org/10.1016/0022-1031(85)90017-4
   Web of Science ®Google Scholar
• Willis, G. B. (2005). Cognitive interviewing: A tool for improving questionnaire design. Sage.
   Google Scholar
• Xiao, L., Fu, B., & Liu, W. (2018). Understanding consumer repurchase intention on O2O platforms: An integrated model of network externalities and trust transfer theory. Service Business, 12(4), 731–756. https://doi.org/10.1007/s11628-018-0370-0
   Web of Science ®Google Scholar
• Yunus, M. (2014). Diffusion of innovation, consumer attitudes and intentions to use mobile banking. Information and Knowledge Management, 4(10), 12–18.
   Google Scholar
• Zendehdel, M., & Paim, L. H. (2013). Predicting consumer attitude to use on-line shopping: Context of Malaysia. Life Science Journal, 10(2), 497–501.
   Google Scholar
• Zhou, Y. (2008). Voluntary adopters versus forced adopters: Integrating the diffusion of innovation theory and the technology acceptance model to study intra-organizational adoption. New Media & Society, 10(3), 475–496. https://doi.org/10.1177/1461444807085382
   Web of Science ®Google Scholar