ISSN : 1738-3110
Purpose : In the aviation industry, we will investigate the impact of users' acceptance of technology on their usage behavior and find out the factors that affect their acceptance of technology. We will expand the prior study to find out the impact of the self-service technology of Incheon Airport. Research design, data and methodology : Within the last six months, the survey was conducted on people using self-service technology at Incheon International Airport from July to August 2019. Part 307 of the valid questionnaires were used for this final analysis. The collected data were used to perform frequency, factor, reliability, and multiple regression analyses using the SPSS statistical package. Results : Individual aspects of external variables, service aspects and system aspects have been shown to affect usefulness and perceived ease of use. Also, perceived ease-of-use and usefulness have effects on users' intention to accept technology. Conclusions : The perceived easement and perceived usefulness of Incheon International Airport has been shown to affect self-service users. Increasing the user's self-efficiency and increasing the user's expectations for benefits, convenience, rapid processing, and minimal effort will have a positive meaningful effect on the intention of accepting the technology.
Adams, D. A., Nelson, R. P., & Todd, R. A. (1992). Perceived Usefulness, Ease of Use and Usage of Information Technology; A Replication, Mis Quarterly, 16(2), 227-247.
Agarwal, R., & Prasad, J. (1997). The Role of Innovation Characteristics and Perceived Voluntaries in the Acceptance of Information Technologies, Decision Sciences, 28(3), 557-582.
Agarwal, R., & Karahanna, E. (2000). Time File When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage, MIS Quarterly, 24(4), 665-694.
Bharadwaj, A. S. (2000). A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation, MIS Quarterly, 24(1), 169-196.
Bogicevic, V., Bujisic, M., Bilgihan, A., Yang, W., & Cobanoglu, C. (2017). The impact of Traveler-Focused airport technology on traveler satisfaction. Technological Distribution (2nd ed.). Forecasting & Social Change.
Byun, S. K. (2018). Evaluating Information Technology Systems Using Consumer Surveys: The Role of Personal Product Knowledge, Journal of Asian Finance, Economics and Business, 5(4), 117-125.
Chen, Y., & Shang Y. F. (2018). Factors Influencing User’s Word-of-Mouth Intention Regarding Mobile Apps: An Empirical Study, International Journal of Industrial Distribution & Business, 9(1), 51-65.
Davis, F. D., & Bagozzi, R. (1989). User Acceptance of Computer of Two Theoretical Models, Management Science, 35(8), 982-1003.
Davis, F.D., Bagozzi, R.P., & Warshaw, P. P. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, Management Science, 35(8), 9-21.
Gu, W., Bao, P., & Lee J. H. (2019). A Study on the Continuance Intention of O2O Fresh Agricultural Products E-Commerce, International Journal of Industrial Distribution & Business, 10(10), 35-44.
IATA (2015). International Air Transport Association(IATA) Economic Performance of the Airline Industry-Midyear 2015 Forecast Presentation. www.iata.org
Im, K. J., & Kim, H, R., & Yang, H. C. (2017). The Effectiveness on the Perception of Service Quality in MRO Transactions, East Asian Journal of Business Management, 7(4), 11-15.
Jin, P. R., & Lee, J. H. (2018). A Study on the Use Intention of Xiaomi in Korean Market, International Journal of Industrial Distribution & Business, 9(11), 17-24.
Kim, C. S., & Park, S. B. (2017). A Unified Model Combining Technology Readiness Acceptance Model and Technology Paradox Theory. Journal of Distribution Science, 8(7), 39-49.
Kim, J. H ., & Park, J. W. (2019). The Effect of Airport Self-Service Characteristics on Passengers’ Technology Acceptance and Behavioral Intention. Journal of Distribution Science, 17(5), 29-37.
Lee, J. H. (2011). The Influence of Perceived Usefulness and Perceived Ease of Use of Experience Store on Satisfaction and Loyalty. Journal of Distribution Science, 9(3), 5-14.
Lee, J. W., & Becker, K., & Potluri, R. M. (2016). Antecedents of Corporate Adoption of Social Media and the Role of the Technology Acceptance Model in the Path, Journal of Asian Finance, Economics and Business, 3(2), 67-76.
Rajasekhara, M. P., & Satagopam, P. T. (2018). Challenges of Transport Sector in India: A Dyadic Perspective, Journal of Asian Finance, Economics and Business, 5(3), 95-102.
Rayport, J. F., & Miller, V. E. (1995). How Information Gives You Competitive Advantage, Harvard Business Review, 78(Jul.-Aug.), 149-160.
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and Research Agenda on Interventions, Decision Sciences, 39(2), 279-315.
Zeithaml, V. A. (1998). Consumer Perceptions of Price, Quality and Value: A Means-End Model and Synthesis of Evidence, Journal of Marketing, 52(3), 2-22.