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E-ISSN : 2233-5382
The Influence of Personality Traits on Airline Untact Check-in: Focusing on Mobile Check-in User
PARK, Sang-Beom
Abstract
Purpose: Year of 2020, COVID-19 has been changing the people's everyday life to ways never been thought of before all over the world. The IT and electronic industry, the methods of supplying goods and services have been changed from contact to un-tact environments based on un-tact systems very rapidly. COVID-19 has been striking the tourism and the travel industry, especially the airline and hotel industry of which services are provided by human. For the passenger service of airliner, automation has been propelled and un-tact style of service has become mainstreams except cabin service since 2000's. For passenger transportation, due to traffic regulations and exclusions etc., switching to new ways is not easy. However, under the new environment made by COVID-19, kiosk check-in, web check-in and mobile check-in has become more important. In this study, the characteristics of airline customers using mobile goods are investigated to find ways to raise the rate of utilizing mobile check-in and to increase the efficiency of boarding process. Research design, data, and methodology: Considering the COVID-19 environment, survey was done by online research company. The research model is designed to integrate the user characteristics and usage/purchase motive and technology acceptance theory. Especially considering infectious diseases prevention, concern of safety is adopted as one of the usage motive variable. Results: Extraversion or conscientiousness characteristics prefers counter check-in(contact service), while openness characteristics prefers mobile check-in(un-tact service). Concern of safety for infectious disease shows strong non-preference on counter check-in. Conclusions: Regarding service type regardless of type of the industry, automation and un-tact have been mainstreams due to high costs of labor, efficiency and standardization issue, etc., and COVID-19 has given impetus to them. For airliner, un-tact service including boarding process service has been more and more important. To raise the rate of un-tact service use, the characteristics of the user should be analyzed first. The study results indicate that for extraversion or conscientiousness, some kinds of methods to induce them to use un-tact service more are needed.
- keywords
- Un-tact Service, COVID-19, Airline Industry, Mobile Check-in, TAM
Reference
Agyei, J., Sun, S., Abrokwah, E., Penney, E. K., & Ofori-Boafo, R. (2020). Mobile Banking Adoption: Examining the Role of Personality Traits. SAGE Open, 10(2), 67-87.
Bae, S. Y., & Chang, P. J. (2020). The effect of coronavirus disease-19 (COVID-19) risk perception on behavioral intention towards 'untact' tourism in South Korea during the first wave of the pandemic (March 2020). Current Issues in Tourism, 1, 1-19.
Bansal, G. (2011). E-book usage: role of environmental consciousness, personality and past usage. Journal of Computer Information Systems, 52(2), 93-104.
Baron, R. M., & Kenny, D. A. (1986). The moderator mediator variable distinction in social psychological research:Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 11-73.
Bordoloi, S., Fitzsimmons, J. A., & Fitzsimmons, M. J. (2018). Service management: operations, strategy, information technology. New York, NY: McGraw-Hill Higher Education.
Chittaranjan, G., Blom, J., & Gatica-Perez, D. (2013). Mining large-scale smartphone data for personality studies. Personal and Ubiquitous Computing, 17(3), 433-450.
Devaraj, S., Easley, R. F., & Crant, J. M. (2008). Research note how does personality matter? Relating the five-factor model to technology acceptance and use. Information Systems Research, 19(1), 93-105.
Goldberg, L. R. (1992). The Development of Markets for the BigFive Factor Structure. Psychological assessment, 4(1), 26.-42.
Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605-11616.
Hong, S., & Oh, S. K. (2020). Why People Don't Use Facebook Anymore? An Investigation into the Relationship between the Big Five Personality Traits and the Motivation to Leave Facebook. Frontiers in Psychology, 11, 1497.
IATA. (2004). Simplifying the Business. Airport Handling Manual.
Ilic, A., & Fleisch, E. (2016). Augmented Reality and the Internet of Things. ETH Zurich.
Incheon International Airport, 2019. Incheon International Airport Publicize Brochure 2019. 48.
Karp, A. (2009). SITA/ATW 2009 passenger self-service survey:user-friendly has arrived. October, 39-45. Air Transport World.
Jun, Byungho, (2019). An Analysis of the on-line Shopping Motivation of One-person Households using R, Journal of the Korea Society of Digital Industry and Information Management, 15(1), 123-132.
Jun, Y. J. (2018). The Effect of Airline Self-Service Check-In Qualities on Intention to Use: Focused on Web and Mobile Check-In, e_Business Research, 19(1), 93-106.
Karp, G. (2009). Cell and molecular biology: concepts and experiments. John Wiley & Sons.
Kim, Y. G. (2017). Kiosk to Promote Unmannedization, Weekly Technology Trend, No. 1790, 16.
Korzaan, M. L., & Boswell, K. T. (2008). The influence of personality traits and information privacy concerns on behavioral intentions. Journal of Computer Information Systems, 48(4), 15-24.
Lee, S. H., & Han, S. L. (2015). Impact of Consumers’ Perceived Value on Consumers’ Shopping Satisfaction and Repurchase Intention in Overseas Direct Purchase Shopping, Journal of Consumer Culture Research, 18(2), 259-281
Lissitsa, S., & Kol, O. (2019). Four generational cohorts and hedonic m-shopping: Association between personality traits and purchase intention. Electronic Commerce Research, 11, 1-26.
Lu, J. L., Choi, J. K., & Tseng, W. C. (2011). Determinants of passengers' choice of airline check-in services: A case study of American, Australian, Korean, and Taiwanese passengers. Journal of Air Transport Management, 17(4), 249-252.
McCrae, R. R., & John, O. P. (1992). An introduction to the fivefactor model and its applications. Journal of personality, 60(2), 175-215.
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.
Mun, Seonyeong, Lee, Jiwon, & Son, Je-Young. (2019). A Study on Consumer’s Acceptance Attitude according to Characteristics of Online and Offline Financial Services:Focusing on Mediating Effect of User Resistance and Comparison by Age, e-biz, 20(4), 141-160.
Omar, B., & Dequan, W. (2020). Watch, share or create: The influence of personality traits and user motivation on TikTok mobile video usage, International Journal of Interactive Mobile Technologies (iJIM) 14(04), 121, DOI:10.3991/ijim.v14i04.12429.
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value:The development of a multiple item scale. Journal of retailing, 77(2), 203-220.
Watson, D., & Clark, L. A. (1997). Extraversion and its positive emotional core. In R. Hogan, J. A. Johnson, & S. R. Briggs (Eds.), Handbook of personality psychology (pp. 767–793). San Diego, CA: Academic Press.
Xu, R., Frey, R. M., Fleisch, E., & Ilic, A. (2016). Understanding the impact of personality traits on mobile app adoption:Insights from a large-scale field study. Computers in Human Behavior, 62, 244-256.
Yang, J. P., & Park, S. B. (2013), The Historical Review of the Airline Industry and the Prospect of its Future, Business history research, 68, 87-106.
Yen, W. C., Lin, H. H., Wang, Y. S., Shih, Y. W., & Cheng, K. H. (2019). Factors affecting users' continuance intention of mobile social network service. The Service Industries Journal, 39(13-14), 983-1003.
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