과제정보
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2019S1A3A2098438)
참고문헌
- Ahn, J. A., and Seo, S. (2018). Consumer responses to interactive restaurant self-service technology (IRSST): The role of gadget-loving propensity. International Journal of Hospitality Management, 74, 109-121.
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
- Al-Hawari, M., Hartley, N., and Ward, T. (2005). Measuring banks' automated service quality: A confirmatory factor analysis approach. Marketing Bulletin, 16, 1-19. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=16872099&lang=ko&site=eds-live.
- Armstrong, J. S., and Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396-402.
- Bassellier, G., Reich, B. H., and Benbasat, I. (2001). Information technology competence of business managers: A definition and research model. Journal of Management Information Systems, 17(4), 159-182.
- Blin, F., and Munro, M. (2008). Why hasn't technology disrupted academics' teaching practices? Understanding resistance to change through the lens of activity theory. Computers & Education, 50(2), 475-490.
- Cetto, A., Klier, J., and Klier, M. (2015). Why should I do it myself? Hedonic and utilitarian motivations of customers' intention to use self-service technologies.
- Chen, C.-D., Fan, Y.-W., and Farn, C.-K. (2007). Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior. Transportation Research Part C: Emerging Technologies, 15(5), 300-311.
- Chen, J. V., Yen, D., Dunk, K., and Widjaja, A. E. (2015). The impact of using kiosk on enterprise systems in service industry. Enterprise Information Systems, 9(8), 835-860.
- Chin, W. W., and Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. Statistical Strategies for Small Sample Research, 1(1), 307-341.
- Chung, N., Han, H., and Joun, Y. (2015). Tourists' intention to visit a destination: The role of augmented reality (AR) application for a heritage site. Computers in Human Behavior, 50, 588-599.
- Chung, N., Lee, H., Lee, S. J., and Koo, C. (2015). The influence of tourism website on tourists' behavior to determine destination selection: A case study of creative economy in Korea. Technological Forecasting and Social Change, 96, 130-143.
- Cohen, W. M., and Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 128-152.
- Conner, M., and Armitage, C. J. (1998). Extending the theory of planned behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28(15), 1429-1464.
- Cserdi, Z., and Kenesei, Z. (2021). Attitudes to forced adoption of new technologies in public transportation services. Research in Transportation Business & Management, 41, 100611.
- Curran, J. M., and Meuter, M. L. (2005). Self-service technology adoption: comparing three technologies. Journal of Services Marketing, 19(2), 103-113.
- Dabholkar, P. A. (1992). Role of affect and need for interaction in on-site service encounters. ACR North American Advances, 19, 563-569.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
- De Guinea, A. O., and Markus, M. L. (2009). Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Quarterly, 433-444.
- Fakis, A., Hilliam, R., Stoneley, H., and Townend, M. (2014). Quantitative analysis of qualitative information from interviews: A systematic literature review. Journal of Mixed Methods Research, 8(2), 139-161.
- Fan, A., Wu, L. L., and Mattila, A. S. (2016). Does anthropomorphism influence customers' switching intentions in the self-service technology failure context? Journal of Services Marketing, 30(7), 713-723. https://doi.org/10.1108/JSM-07-2015-0225
- Feng, W., Tu, R., Lu, T., and Zhou, Z. (2019). Understanding forced adoption of self-service technology: The impacts of users' psychological reactance. Behaviour & Information Technology, 38(8), 820-832. https://doi.org/10.1080/0144929X.2018.1557745
- Fishbein, M., and Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2).
- Fornell, C., and Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388.
- Fortune Business Insights, 2019. Retrieved from https://www.fortunebusinessinsights.com/industry -reports/facial-recognition-market-101061.
- Hair, J. F., Ringle, C. M., and Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
- Hair, J. F., Ringle, C. M., and Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1-2), 1-12.
- Hair Jr, J. F., Hult, G. T. M., Ringle, C., and Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles, CA: Sage Publications.
- Jang, S. H., Kim, R. H., and Lee, C. W. (2016). Effect of u-healthcare service quality on usage intention in a healthcare service. Technological Forecasting and Social Change, 113, 396-403.
- Joe, S., Kim, J., and Zemke, D. M. V. (2020). Effects of social influence and perceived enjoyment on kiosk acceptance: A moderating role of gender. International Journal of Hospitality & Tourism Administration, 1-28.
- Karahanna, E., Straub, D. W., and Chervany, N. L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 183-213.
- Kazancoglu, I., and Yarimoglu, E. K. (2018). How food retailing changed in Turkey: Spread of self-service technologies. British Food Journal, 120(2), 290-308. https://doi.org/10.1108/BFJ-03-2017-0189
- Keaveney, S. M. (1995). Customer switching behavior in service industries: An eploratory study. Journal of Marketing, 59(2), 71-82. https://doi.org/10.1177/002224299505900206
- Kelly, P., Lawlor, J., and Mulvey, M. (2017). Customer roles in self-service technology encounters in a tourism context. Journal of Travel & Tourism Marketing, 34(2), 222-238. https://doi.org/10.1080/10548408.2016.1156612
- Khalifa, M., and Liu, V. (2007). Online consumer retention: contingent effects of online shopping habit and online shopping experience. European Journal of Information Systems, 16(6), 780-792.
- Kim, D. Y., and Grant, G. (2010). E-government maturity model using the capability maturity model integration. Journal of Systems and Information Technology, 12(3), 230-244.
- Kim, H., Koo, C., and Chung, N. (2021). The role of mobility apps in memorable tourism experiences of Korean tourists: Stress-coping theory perspective. Journal of Hospitality and Tourism Management, 49, 548-557.
- Kim, H.-W., Chan, H. C., and Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111-126. https://doi.org/10.1016/j.dss.2005.05.009
- Kim, J. J., and Hwang, J. (2020). Merging the norm activation model and the theory of planned behavior in the context of drone food delivery services: Does the level of product knowledge really matter? Journal of Hospitality and Tourism Management, 42, 1-11.
- Kim, M., and Qu, H. (2014). Travelers' behavioral intention toward hotel self-service kiosks usage. International Journal of Contemporary Hospitality Management, 26(2), 225-245.
- Kim, M. J., Chung, N., Lee, C. K., and Preis, M. W. (2015). Motivations and use context in mobile tourism shopping: Applying contingency and task - technology fit theories. International Journal of Tourism Research, 17(1), 13-24.
- Kokkinou, A., and Cranage, D. A. (2015). Why wait? Impact of waiting lines on self-service technology use. International Journal of Contemporary Hospitality Management, 27(6), 1181-1197.
- Koo, C., and Chung, N. (2014). Examining the eco-technological knowledge of Smart Green IT adoption behavior: A self-determination perspective. Technological Forecasting and Social Change, 88, 140-155.
- KREI. (2020). Retreived from http://library.krei.re.kr/pyxis-api/1/digital-files/1b7f1d91-86e3-4443-bf4faf13c51e1ac6.
- Kuo, F.-R., Hwang, G.-J., and Lee, C.-C. (2012). A hybrid approach to promoting students' web-based problem-solving competence and learning attitude. Computers & Education, 58(1), 351-364.
- Larson, R. B. (2019). Supermarket self-checkout usage in the United States. Services Marketing Quarterly, 40(2), 141-156. https://doi.org/10.1080/15332969.2019.1592861
- Lee, A. R., Son, S.-M., and Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51-61. https://doi.org/10.1016/j.chb.2015.08.011
- Lee, B., and Cranage, D. A. (2018). Causal attributions and overall blame of self-service technology (SST) failure: Different from service failures by employee and policy. Journal of Hospitality Marketing & Management, 27(1), 61-84.
- Lee, H.-J., Fairhurst, A., and Cho, H. J. (2013). Gender differences in consumer evaluations of service quality: Self-service kiosks in retail. The Service Industries Journal, 33(2), 248-265. https://doi.org/10.1080/02642069.2011.614346
- Lee, H.-J., and Lyu, J. (2016). Personal values as determinants of intentions to use self-service technology in retailing. Computers in Human Behavior, 60, 322-332.
- Lee, H., Jung, T. H., tom Dieck, M. C., and Chung, N. (2020). Experiencing immersive virtual reality in museums. Information & Management, 57(5), 103229.
- Lee, H. J., Cho, H. J., Xu, W., and Fairhurst, A. (2010). The influence of consumer traits and demographics on intention to use retail self-service checkouts. Marketing Intelligence & Planning, 28(1), 46-58. https://doi.org/10.1108/02634501011014606
- Lee, J., and Allaway, A. (2002). Effects of personal control on adoption of self-service technology innovations. Journal of Services Marketing, 16(6), 553-572. https://doi.org/10.1108/08876040210443418
- Lee, Y.-K., Park, J.-H., Chung, N., and Blakeney, A. (2012). A unified perspective on the factors influencing usage intention toward mobile financial services. Journal of Business Research, 65(11), 1590-1599. https://doi.org/10.1016/j.jbusres.2011.02.044
- Legris, P., Ingham, J., and Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204. https://doi.org/10.1016/S0378-7206(01)00143-4
- Leung, L. S. K., and Matanda, M. J. (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.
- Lien, C.-H., Hsu, M. K., Shang, J.-Z., and Wang, S. W. (2019). Self-service technology adoption by air passengers: a case study of fast air travel services in Taiwan. The Service Industries Journal, 1-25.
- Liljander, V., Gillberg, F., Gummerus, J., and Van Riel, A. (2006). Technology readiness and the evaluation and adoption of self-service technologies. Journal of Retailing and Consumer Services, 13(3), 177-191.
- Limayem, M., and Hirt, S. G. (2003). Force of habit and information systems usage: Theory and initial validation. Journal of the Association for Information Systems, 4(1), 3.
- Ling-Yee Li, E., Liu, B. S.-C., and Luk, S. T. (2017). Customer participation behavior in high-versus low-contact services: the multiple roles of customer trust. Journal of Global Marketing, 30(5), 322-341.
- Liu, S. (2012). The impact of forced use on customer adoption of self-service technologies. Computers in Human Behavior, 28(4), 1194-1201.
- Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
- McKim, C. A. (2017). The value of mixed methods research: A mixed methods study. Journal of Mixed Methods Research, 11(2), 202-222.
- Meuter, M. L., Bitner, M. J., Ostrom, A. L., and Brown, S. W. (2005). Choosing among alternative service delivery modes: An investigation of customer trial of self-service technologies. Journal of Marketing, 69(2), 61-83.
- Meuter, M. L., Ostrom, A. L., Bitner, M. J., and Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56(11), 899-906.
- Meuter, M. L., Ostrom, A. L., Roundtree, R. I., and Bitner, M. J. (2000). Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50-64.
- Mohlmann, M. (2015). Collaborative consumption: determinants of satisfaction and the likelihood of using a sharing economy option again. Journal of Consumer Behaviour, 14(3), 193-207. https://doi.org/10.1002/cb.1512
- Moore, G. C., and 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
- Moser, A., and Korstjens, I. (2018). Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis. European Journal of General Practice, 24(1), 9-18. https://doi.org/10.1080/13814788.2017.1375091
- Nijssen, E. J., Schepers, J. J., and Belanche, D. (2016). Why did they do it? How customers' self-service technology introduction attributions affect the customer-provider relationship. Journal of Service Management, 27(3), 276-298.
- Oh, H., Jeong, M., and Baloglu, S. (2013). Tourists' adoption of self-service technologies at resort hotels. Journal of Business Research, 66(6), 692-699. https://doi.org/10.1016/j.jbusres.2011.09.005
- Pallud, J., and Straub, D. W. (2014). Effective website design for experience-influenced environments: The case of high culture museums. Information & Management, 51(3), 359-373.
- Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320. https://doi.org/10.1177/109467050024001
- Rapp, A., Ahearne, M., Mathieu, J., and Schillewaert, N. (2006). The impact of knowledge and empowerment on working smart and working hard: The moderating role of experience. International Journal of Research in Marketing, 23(3), 279-293. https://doi.org/10.1016/j.ijresmar.2006.02.003
- Reinders, M. J., Dabholkar, P. A., and Frambach, R. T. (2008). Consequences of forcing consumers to use technology-based self-service. Journal of Service Research, 11(2), 107-123.
- Rogers, E. (2003). Diffusion of innovations, 5th edn (NY, Free Press).
- Rosenbaum, M. S., and Wong, I. A. (2015). If you install it, will they use it? Understanding why hospitality customers take "technological pauses" from self-service technology. Journal of Business Research, 68(9), 1862-1868.
- Sarstedt, M., Ringle, C. M., and Hair, J. F. (2014). PLS-SEM: Looking back and moving forward. Long Range Planning, 47(3), 132-137.
- Shih, H.-p., Lai, K.-h., and Cheng, T. (2013). Informational and relational influences on electronic word of mouth: An empirical study of an online consumer discussion forum. International Journal of Electronic Commerce, 17(4), 137-166.
- Shin, H., and Perdue, R. R. (2019). Self-Service Technology Research: a bibliometric co-citation visualization analysis. International Journal of Hospitality Management, 80, 101-112.
- Singh, N., Sinha, N., and Liebana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191-205.
- So, K. K. F., Oh, H., and Min, S. (2018). Motivations and constraints of Airbnb consumers: Findings from a mixed-methods approach. Tourism Management, 67, 224-236.
- Tahamtan, I., Pajouhanfar, S., Sedghi, S., Azad, M., and Roudbari, M. (2017). Factors affecting smartphone adoption for accessing information in medical settings. Health Information & Libraries Journal, 34(2), 134-145.
- Tommasetti, A., Troisi, O., and Vesci, M. (2017). Measuring customer value co-creation behavior: Developing a conceptual model based on service-dominant logic, Journal of Service Theory and Practice, 27(5), 930-950.
- Um, T., and Chung, N. (2021). Does smart tourism technology matter? Lessons from three smart tourism cities in South Korea. Asia Pacific Journal of Tourism Research, 26(4), 396-414.
- Um, T., Kim, T., and Chung, N. (2020). How does an intelligence chatbot affect customers compared with self-service technology for sustainable services? Sustainability, 12(12), 5119.
- Venkatesh, V., Brown, S. A., and Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS Quarterly, 21-54.
- Venkatesh, V., and Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 115-139.
- Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.
- Venkatesh, V., Thong, J. Y., and Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157-178.
- Wang, C., Harris, J., and Patterson, P. (2013). The roles of habit, self-efficacy, and satisfaction in driving continued use of self-service technologies: A longitudinal study. Journal of Service Research, 16(3), 400-414.
- Wang, C., Harris, J., and Patterson, P. G. (2012). Customer choice of self-service technology: The roles of situational influences and past experience. Journal of Service Management, 23(1), 54-78.
- Wang, C., Harris, J., and Patterson, P. G. (2017). Modeling the habit of self-service technology usage. Australian Journal of Management, 42(3), 462-481.
- Wang, M. C. H. (2012). Determinants and consequences of consumer satisfaction with self-service technology in a retail setting. Managing Service Quality: An International Journal, 22(2), 128-144.
- Wang, Y.-S., and Shih, Y.-W. (2009). Why do people use information kiosks? A validation of the unified theory of acceptance and use of technology. Government Information Quarterly, 26(1), 158-165. https://doi.org/10.1016/j.giq.2008.07.001
- Wessels, L., and Drennan, J. (2010). An investigation of consumer acceptance of M-banking. International Journal of Bank Marketing, 28(7), 547-568. https://doi.org/10.1108/02652321011085194
- Yang, H., Lee, H., and Zo, H. (2017). User acceptance of smart home services: an extension of the theory of planned behavior. Industrial Management & Data Systems, 117(1), 68-89. https://doi.org/10.1108/IMDS-01-2016-0017
- Yang, K. (2012). Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior. Journal of Retailing and Consumer Services, 19(5), 484-491. https://doi.org/10.1016/j.jretconser.2012.06.003
- Ye, C., and Potter, R. (2011). The role of habit in post-adoption switching of personal information technologies: An empirical investigation. Communications of the Association for Information Systems, 28(1), 35.
- Zhou, T. (2011). The impact of privacy concern on user adoption of location-based services. Industrial Management & Data Systems, 111(2), 212-226. https://doi.org/10.1108/02635571111115146