References
- Alfadda, H. A., & Mahdi, H. S. (2021). Measuring students' use of Zoom application in language course based on the technology acceptance model (TAM). Journal of Psycholinguistic Research, 50(4), 883-900. https://doi.org/10.1007/s10936-020-09752-1
- Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831-858. https://doi.org/10.2307/41409963
- Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421-458. https://doi.org/10.2307/2393203
- Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Social and Clinical Psychology, 4(3), 359-373. https://doi.org/10.1521/jscp.1986.4.3.359
- Bloom, A. J., & Hautaluoma, J. E. (1990). Anxiety management training as a strategy for enhancing computer user performance. Computers in Human Behavior, 6(4), 337-349. https://doi.org/10.1016/0747-5632(90)90012-6
- Brod, C. (1984). Technostress: The human cost of the computer revolution. Reading: Addison-Wesley.
- Byun, M. Y. (2017). The fashion design development for launching fast fashion brand of new silver generation. Journal of the Korean Society of Design Culture, 23(3), 421-431. https://doi.org/10.18208/ksdc.2017.23.3.421
- Cardin, P., & Olson, P. (1994). Chaotic thermal convection in a rapidly rotating spherical shell: Consequences for flow in the outer core. Physics of the Earth and Planetary Interiors, 82(3-4), 235-259. https://doi.org/10.1016/0031-9201(94)90075-2
- Carroll, J. M., & Thomas, J. C. (1988). Fun. ACM SIGCHI Bulletin, 19(3), 21-24. https://doi.org/10.1145/49108.1045604
- Jang, S. (2023). McDonald's promises to improve its kiosks... Media Today. Retrieved January 17, 2023, from http://www.mediatoday.co.kr/news/articleView.html?idxno=308029
- Chang, Y. H., & Park, J. G. (2010). An exploratory study on barriers of the diffusion of smartphone: Focusing on the determinants of postponers' innovation resistance. Studies of Broadcasting Culture, 22(2), 37-62.
- Chen, Z., & Dubinsky, A. J. (2003). A conceptual model of perceived customer value in e-commerce: A preliminary investigation. Psychology & Marketing, 20(4), 323-347. https://doi.org/10.1002/mar.10076
- Cheng, A., Koo, C., & Yoon, H. (2021). The use of travel-related WeChat miniprograms in China: An affordance theory perspective. Journal of Smart Tourism, 1(2), 37-46. https://doi.org/10.52255/SMARTTOURISM.2021.1.2.6
- Cho, Y. T. (2018). From convenience stores to factories. The JoongAng. Retrieved October 15, 2018, from https://jmagazine.joins.com/economist/view/323159
- Choi, H. C., Jo, J. E., & Hahm, S. P. (2009). Self-service check-in kiosk use behaviour: An application of technology acceptance model. Journal of Tourism and Leisure Research, 21(4), 295-315.
- Cox, T., & MacKay, C. (1982). Psychosocial factors and psychophysiological mechanisms in the aetiology and development of cancers. Social Science & Medicine, 16(4), 381-396. https://doi.org/10.1016/0277-9536(82)90048-X
- Dabholkar, P. A., & Bagozzi, R. P. (2002). An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184-201. https://doi.org/10.1177/0092070302303001
- 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
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
- De Lapparent, M. (2010). Attitude toward risk of time loss in travel activity and air route choices. Journal of Intelligent Transportation Systems, 14(3), 166-178. https://doi.org/10.1080/15472450.2010.484749
- Dowling, G. R., & Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21(1), 119-134. https://doi.org/10.1086/209386
- Ellen, P. S., Wiener, J. L., & Cobb-Walgren, C. (1991). The role of perceived consumer effectiveness in motivating environmentally conscious behaviors. Journal of Public Policy & Marketing, 10(2), 102-117. https://doi.org/10.1177/074391569101000206
- Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of HumanComputer Studies, 59(4), 451-474. https://doi.org/10.1016/S1071-5819(03)00111-3
- Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388. https://doi.org/10.1177/002224378101800313
- Gutman, J. (1982). A means-end chain model based on consumer categorization processes. Journal of Marketing, 46(2), 60-72. https://doi.org/10.1177/002224298204600207
- Han, S. J. (2019). A study on the cultural capital and taste of the new silver generation in Korea. Ph.D. Dissertation, Seoul National University, Seoul.
- Han, S. J., & Ha, J. S. (2017). Lifestyles and fashion styles of new silver generation women. Journal of Fashion Design, 17(3), 67-81.
- Hirschheim, R., & Newman, M. (1988). Information systems and user resistance: Theory and practice. The Computer Journal, 31(5), 398-408. https://doi.org/10.1093/comjnl/31.5.398
- Huh, W. W., Hong, S. K., Han, S. W., & Kim, W. S. (2012). A study about emotional value factors of new silver generation. Design Convergence Study, 11(11), 3-12.
- Hwang, S. W., & Kim, H. S. (2019). A study on the user experience of unmanned order payment kiosk in fast food stores. Journal of Digital Contents Society, 20(8), 1491-1501. https://doi.org/10.9728/dcs.2019.20.8.1491
- Hyun, H., Park, J. K, & Ren, T. (2017). The role of perceived multidimensions of risk and product knowledge on purchasing Chinese product. Journal of Product Research, 35(6), 85-91. https://doi.org/10.36345/KACST.2017.35.6.009
- Jacoby, J., & Kaplan, L. B. (1972, November 2-5). The components of perceived risk. Paper presented at the Third Annual Conference of the Association for Consumer Research, Chicago, IL. https://www.researchgate.net/publication/247814928_The_Components_Of_Perceived_Risk
- Jeon, H., Kim, K. A., & Kim, S. H. (2018). The effects of customer's relational benefits on continuous usage intention of technology-based self-service: Focusing on types of technology-based self-service. Journal of Marketing Management Research, 23(1), 27-49. https://doi.org/10.37202/KMMR.2018.23.1.27
- Jeon, Y., Gwak, J., & Moon, H. (2020). Convenience store "kiosk shock" puts my part-time job at risk. The JoongAng. Retrieved January 14, 2020, from https://www.joongang.co.kr/article/23686836#home.
- Jin, S. H., Lee, D. G., & Lee, S. J. (2012). The influence of technostress and anti-smart on smartphones. Journal of Digital Convergence, 10(10), 187-195. https://doi.org/10.14400/JDPM.2012.10.10.187
- Jo, I. J., Kim, S. K., & Yang, S. B. (2015). A study on influencing factors on user's adoption resistance to personal cloud computing service. Knowledge Management Research, 16(1), 117-142.
- Jung, M. H., Rho, H. O., & Ryu, I. (2013). The impacts of technostress on IS strain and performance expectancy among information system users. Asia Pacific Journal of Small Business, 35(4), 121-142.
- Kim, G., Kim, S., & Cha. Y. (2017). Entry into an aged society and opportunities for senior business. Seoul: Samjong KPMG Economic Research Institute.
- Kim, H. W., Chan, H. C., & 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., Christodoulidou, N., & Choo, Y. (2013). Factors influencing customer acceptance of kiosks at quick service restaurants. Journal of Hospitality and Tourism Technology, 4(1), 40-63. https://doi.org/10.1108/17579881311302347
- Kim, J. E., & Yeo. J. S. (2007). Digital stress of consumers in using digital goods. Journal of Korean Home Management Association, 25(3), 119-135.
- Kim, U. (2021). Non-face-to-face era and minimum wage increase... Samsung and LG are also joining the kiosk market. ChosunBiz. Retrieved July 14, 2021, from https://biz.chosun.com/industry/company/2021/07/14/HEREBAOK75BKHKB2EZNNRGOV2E/
- Kim, Y., & Moon. Y. (2018). An empirical research on psychological resistance factors of omni channel's unmanned order payment system. The Journal of Internet Electronic Commerce Research, 18(6), 1-19.
- Kramer, T. (2007). The effect of measurement task transparency on preference construction and evaluations of personalized recommendations. Journal of Marketing Research, 44(2), 224-233. https://doi.org/10.1509/jmkr.44.2.224
- Lee, M. S., & Park, Y. J. (2020). A comparative study of domestic travel patterns and determinant factors affecting satisfaction by generations. Information Systems Review, 22(2), 137-166. https://doi.org/10.14329/isr.2020.22.2.137
- Lee, S. B., Lee, S. C., & Suh, Y. H. (2016). Technostress from mobile communication and its impact on quality of life and productivity. Total Quality Management & Business Excellence, 27(7-8), 775-790.
- Lee, S. H. (2018). The effects of dietary types of new silver generation on satisfaction with dining out, select Properties. Journal of Tourism and Leisure Research, 30(4), 399-412. https://doi.org/10.31336/JTLR.2018.04.30.4.399
- Lee, S. M. (2019). A study on the factors affecting innovation resistance of unattended order payment system: Focused on fastfood store. Journal of Communication Design, 67, 170-179. https://doi.org/10.25111/jcd.2019.67.13
- Lim, N. (2003). Consumers' perceived risk: Sources versus consequences. Electronic Commerce Research and Applications, 2(3), 216-228. https://doi.org/10.1016/S1567-4223(03)00025-5
- Mandel, N. (2003). Shifting selves and decision making: The effects of self construal priming on consumer risk taking. Journal of Consumer Research, 30(1), 30-40. https://doi.org/10.1086/374700
- 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.
- Miller, R. S. (1992). The nature and severity of self-reported embarrassing circumstances. Personality and Social Psychology Bulletin, 18(2), 190-198. https://doi.org/10.1177/0146167292182010
- Min, B. K., & Park, J. Y. (2010). Determinants of users acceptance of technology-based self-service. Journal of Korea Technology Innovation Society, 13(1), 204-230.
- 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
- Morris, M. R., & Horvitz, E. (2007, October). Search together: An interface for collaborative web search. Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology, New York, NY, USA, 3-12. https://doi.org/10.1145/1294211.1294215
- National Statistics Office. (2019). Results of administrative statistics of the middle-aged and older adults as of 2018. Retrieved December 24, 2019, from https://eiec.kdi.re.kr/policy/materialView.do?num=196082&topic=P&pp=20&datecount=&recommend=&pg=
- Nho, H. O., Kim, Y. H., & Hong. S. J. (2015). A study on technostress of information communication technology user. Journal of the Korea Convergence Society, 6(4), 41-46. https://doi.org/10.15207/JKCS.2015.6.4.041
- Noh, M., & Lee. K., (2012). The effects of the perceived risk in the users' acceptance of the social commerce: Moderating effects of the collectivism. Korean Management Review, 41(1), 57-87.
- Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
- Osberg, T. M., & Shrauger, J. S. (1986). Self-prediction: Exploring the parameters of accuracy. Journal of Personality and Social Psychology, 51(5), 1044-1057. https://doi.org/10.1037/0022-3514.51.5.1044
- 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
- Park, H., & Kim, S. (2017). Impacts of perceived risks and technical traits of mobile easy payment service on use conflict and acceptance resistance. The Journal of Internet Electronic Commerce Research, 17(4), 119-138.
- Park, H. H., & Jeon, J. (2013). The effect of web characteristics of social commerce on satisfaction and reuse intention: Moderating role of perception of discount price fairness. The Journal of Internet Electronic Commerce Research, 13(3), 111-136.
- Park, J. S. (2018). A study on difference of consumer knowledge and underlying technology perception on introduction of blockchain based transaction authentication technology: Focused on innovation resistance model. Ph.D. Dissertation, Chung-Ang University, Seoul.
- Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144.
- Peres, R., Muller, E., & Mahajan, V. (2010). Innovation diffusion and new product growth models: A critical review and research directions. International Journal of Research in Marketing, 27(2), 91-106. https://doi.org/10.1016/j.ijresmar.2009.12.012
- Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417-433. https://doi.org/10.1287/isre.1070.0165
- Ram, S. (1987). A model of innovation resistance. Advances in Consumer Research, 14, 208-212.
- Ram, S., & Jung, H. S. (1991). "Forced" adoption of innovations in organizations: Consequences and implications. Journal of Product Innovation Management, 8(2), 117-126. https://doi.org/10.1111/1540-5885.820117
- Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: The marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5-14.
- Reinders, M. J., Dabholkar, P. A., & Frambach, R. T. (2008). Consequences of forcing consumers to use technology-based self-service. Journal of Service Research, 11(2), 107-123. https://doi.org/10.1177/1094670508324297
- Rogers, E. M. (1995). Diffusion of innovations: Modifications of a model for telecommunications. In M. W. Stoetzer, & A. Mahler (Eds.), Die Diffusion von Innovationen in der Telekommunikation (pp. 25-38). Berlin, Heidelberg: Springer.
- Sami, L. K., & Pangannaiah, N. B. (2006). "Technostress" a literature survey on the effect of information technology on library users. Library Review, 55(7), 429-439. https://doi.org/10.1108/00242530610682146
- Sanchez-Fernandez, R., &. Iniesta-Bonillo, M. A . (2007). The concept of perceived value: A systematic review of the research. Marketing Theory, 7(4), 427-451. https://doi.org/10.1177/1470593107083165
- Schiffman, L. G., & Kanuk, L. L. (1991). Communication and consumer behavior. Consumer Behavior, 2, 268-306.
- Selye, H. (1956). The stress of life. New York: McGraw-Hill Book Company.
- Sheth, J. N. (1981). An integrative theory of patronage preference and behavior (pp. 9-28). Urbana, IL, USA: College of Commerce and Business Administration, Bureau of Economic and Business Research, University of Illinois, Urbana-Champaign.
- Shin, J. H. (2017). Media access in active senior. KISDI STAT Report. https://www.kisdi.re.kr/report/view.do?key=m2101113025790&arrMasterId=4333447&masterId=4333447&artId=554144
- Shin, K. M., Yu, J. W., & Seo, J. (2015). The effect of perceived risk for travel agencies web-sites on trust and loyalty. Journal of Tourism Studies, 27(1), 99-118.
- Shu, Q., Tu, Q., & Wang, K. (2011). The impact of computer self-efficacy and technology dependence on computer-related technostress: A social cognitive theory perspective. International Journal of Human-Computer Interaction, 27(10), 923-939. https://doi.org/10.1080/10447318.2011.555313
- Song, J. H. (2018). A study on HMR purchasing behavior according to new silver generation lifestyle. Master's Dissertation, Kyonggi University, Suwon.
- Song, J. W. (2019). A study on usage intention of technology-based self-service (TBSS) of food service companies: Focus on innovation resistance model. Journal of Hospitality and Tourism Studies, 21(3), 176-188. https://doi.org/10.31667/jhts.2019.9.80.176
- Song, S. B., Kang, J. Y., & Lee, S. G. (2013). Analyzing impact factors of user resistance to accepting paid mobile application. The Journal of the Korea Contents Association, 13(4), 361-375. https://doi.org/10.5392/JKCA.2013.13.04.361
- Um, T., & Chung, N. (2022). Attitude change towards self-service technology adoption using latent growth modeling. Journal of Smart Tourism, 2(3), 5-15. https://doi.org/10.52255/SMARTTOURISM.2022.2.3.2
- Van der Heijden, H. (2004). User acceptance of hedonic information systems. Management Information Systems Quarterly, 28(4), 695-704. https://doi.org/10.2307/25148660
- Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology, MIS Quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412
- Yang, S. B. (2013). An empirical study on the factors influencing perceived risks and intention to use online bookstores. Journal of Information Technology Services, 12(4), 267-287. https://doi.org/10.9716/KITS.2013.12.4.267
- Yun, H. (2022). Seize the 100 trillion unmanned terminal market... even the biggest players in the growing kiosk market are mouth-watering. The Kyunghyang, Retrieved May 22, 2022, from https://m.khan.co.kr/economy/markettrend/article/202205221202001
- Yun, S. (2016). Efficient communication support plan for new silver generation utilizing virtual assistant contents. A Journal of Brand Design Association of Korea, 14(4), 167-178. https://doi.org/10.18852/bdak.2016.14.4.167
- Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22. https://doi.org/10.1177/002224298805200302