참고문헌
- 권보아, 박상현(2021). 고객 인터렉티브 강화를 위한 지니뮤직의 전략 도입과 현황분석 : SWOT과 TOWS 분석을 중심으로. 벤처혁신연구, 4(1), 87-99. https://doi.org/10.22788/4.1.6
- 권순동, 윤숙자(2010). 이러닝의 특성과 유용성이 지속적 이용의도에 미치는 영향에 관한 연구. 한국정보기술응용학회, 17(1), 35-54.
- 권연선, 이형용(2013). 스마트폰의 사용자 수용 모형에 관한 연구. 한국정보기술응용학회, 20(1), 133-148.
- 김민정(2017). 외식 배달 어플리케이션 서비스 지속이용의도에 관한 연구: 가치기반이론과 저항요인의 통합적 관점에서. 경희대학교 박사학위 논문.
- 김상현, 박현선(2011). 모바일 애플리케이션의 품질이 사용자 만족과 애플리케이션 지불의도에 미치는 영향. 정보시스템연구, 20(3), 81-109.
- 김서영(2013). 스마트기기의 구매의도에 영향을 미치는 요인, 홍익대학교 석사학위 논문.
- 문설아, 변광인(2020). 확장된 기술수용모델 (ETAM) 을 적용한 외식 O2O 서비스의 지속사용의도에 관한 연구: 연령의 조절효과. 호텔경영학연구, 29(5), 119-137.
- 서경화(2021). 외식산업의 키오스크 (Kiosks) 확산: 개인 혁신성, 자기효능감, 즐거움, 고객만족을 통합한 기술수용모델. 호텔경영학연구, 30(7), 73-92.
- 서영수(2013). 소비자의 스마트폰 수용시점에 따른 만족도와 추천의도 연구, 건국대학교 대학원 박사학위 논문.
- 손영준, 김옥태(2011). 스마트폰 이용자의 이용경험, 구입동기가 스마트폰 유용성, 용이성 인식에 미치는 영향에 관한 연구. 한국언론학보, 55(5), 286-311.
- 이옥주, 양동우(2017). O2O서비스 품질이 사용자만족과 재이용의도에 미치는 영향에 관한 연구. 디지털융복합연구, 15(6), 165-178. https://doi.org/10.14400/JDC.2017.15.6.165
- 정병규(2018). 기술수용 모델의 비교분석: UTAUT1 과 UTAUT2 를 중심으로. 벤처혁신연구, 1(2), 109-121. https://doi.org/10.22788/1.2.8
- 정상희, 정병규(2020). 4 차 산업혁명시대의 디지털 고객경험과 구매간 영향관계-디지털 자기효능감의 조절된 매개 효과를 중심으로. 벤처혁신연구, 3(1), 101-115. https://doi.org/10.22788/3.1.6
- 최민수(2011). 개인의 혁신성, 사회적 영향력, 사용자 인터페이스 요인이 스마트폰 수용에 미치는 영향에 관한 연구 : 확장된 기술수용모델을 중심으로, 이화여자대학교 대학원 박사학위 논문.
- 현용호, 남장현(2012). 패밀리레스토랑 스마트폰 어플리케이션 품질의 기술 수용모델(TAM)적용에 관한 연구: 자발성 (Voluntariness) 요인의 조절효과를 중심으로. 기업경영연구, 42(0), 149-167.
- 노경섭(2019). 제대로 알고 쓰는 논문 통계분석: SPSS & AMOS(2020 4쇄), 서울: 한빛아카데미
- Ahn, T., Ryu, S., & Han, I.(2007). The impact of web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275. https://doi.org/10.1016/j.im.2006.12.008
- Al-Emran, M., Granic, A., Al-Sharafi, M. A., Ameen, N., & Sarrab, M.(2020). Examining the roles of students' beliefs and security concerns for using smartwatches in higher education. Journal of Enterprise Information Management, 34(4), 1741-0398
- Ariff, M. S. M., Yeow, S. M., Zakuan, N., Jusoh, A., & Bahari, A. Z.(2012), The effects of computer self-efficacy and technology acceptance model on behavioral intention in internet banking systems, Procedia - Social and Behavioral Sciences, 57(9), 448-452. https://doi.org/10.1016/j.sbspro.2012.09.1210
- Bandura, A.(1977), Self-efficacy: Towards a unifying theory of behavioral change, Psychology Review, 84(2), 122-147. https://doi.org/10.1037//0033-295X.84.2.191
- Bhattacherjee, A.(2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214. https://doi.org/10.1016/S0167-9236(01)00111-7
- Bhattacherjee, A.(2001b). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 351-370.
- Bitner, M. J.(1990). Evaluating service encounters: the effects of physical surroundings and employee responses. Journal of Marketing, 54(2), 69-82. https://doi.org/10.1177/002224299005400206
- Chan, S., & Ming-te, L.(2005), Understanding internet banking adoption and use behavior: A Hong Kong perspective. Journal of Global Information Management, 12(3), 21-43. https://doi.org/10.4018/jgim.2004070102
- Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S., & Lau, F. Y.(2009). Examining the success factors for mobile work in healthcare: A deductive study. Decision Support Systems, 46(3), 620-633. https://doi.org/10.1016/j.dss.2008.11.003
- Cheng, J. W., & Mitomo, H.(2017). The underlying factors of the perceived usefulness of using smart wearable devices for disaster applications. Telematics and Informatics, 34(2), 528-539. https://doi.org/10.1016/j.tele.2016.09.010
- Chi, T.(2018). Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach. Journal of Retailing and Consumer Services, 44, 274-284. https://doi.org/10.1016/j.jretconser.2018.07.019
- Chuah, S. H. W., Rauschnabel, P. A., Krey, N., Nguyen, B., Ramayah, T., & Lade, S.(2016). Wearable technologies: The role of usefulness and visibility in smartwatch adoption. Computers in Human Behavior, 65, 276-284.
- Davis, F. D.(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
- Delone, W. H., & McLean, E. R.(1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60
- Delone, W. H., & McLean, E. R.(2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information, 19(4), 9-30.
- Dutot, V., Bhatiasevi, V., & Bellallahom, N.(2019). Applying the technology acceptance model in a three-countries study of smartwatch adoption. The Journal of High Technology Management Research, 30(1), 1-14.
- Floropoulos, J., Spathis, C., Halvatzis, D., & Tsipouridou, M.(2010). Measuring the success of the Greek taxation information system. International Journal of Information Management, 30(1), 47-56. https://doi.org/10.1016/j.ijinfomgt.2009.03.013
- Fornell, C., & Lacker, 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
- Garrity, E. J., O'Donnell, J. B., Kim, Y. J., & Sanders, G. L.(2007). An extrinsic and intrinsic motivation-based model for measuring consumer shopping oriented web site success. Journal of Electronic Commerce in Organizations(JECO), 5(4), 18-38. https://doi.org/10.4018/jeco.2007100102
- George, A., & Kumar, G. S. G.(2013), Antecedents of customer satisfaction in internet banking: Technology acceptance model (TAM) redefined. Global Business Review, 14(4) 627-638. https://doi.org/10.1177/0972150913501602
- Hair, J. F., Ringle, C. M., & Sarstedt, M.(2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1-2), 1-12. https://doi.org/10.1016/j.lrp.2013.01.001
- Hawash, B., Mokhtar, U. A., & Yusof, Z. M.(2021). Users' acceptance of an electronic record management system in the context of the oil and gas sector in Yemen: an application of ISSM-TAM. International Journal of Management and Enterprise Development, 20(1), 75-98. https://doi.org/10.1504/IJMED.2021.113661
- Hong, J. C., Lin, P. H., & Hsieh, P. C.(2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264-272. https://doi.org/10.1016/j.chb.2016.11.001
- Hsiao, K.(2017). What drives smartwatch adoption intention? comparing apple and non-apple watches. Library Hi Tech, 35(1), 186-206. https://doi.org/10.1108/LHT-09-2016-0105
- Hsiao, K. L., & Chen, C. C.(2018). What drives smartwatch purchase intention? Perspectives from hardware, software, design, and value. Telematics and Informatics, 35(1), 103-113. https://doi.org/10.1016/j.tele.2017.10.002
- Hsu, M, H., & Chiu, C. M.(2004), Internet self-efficacy and electronic service acceptance, Decision Support Systems, 38(3), 369-381.
- Igbaria, M., & Iivari, J.(1995). The effects of self-efficacy on computer usage. Omega, 23(6), 587-605. https://doi.org/10.1016/0305-0483(95)00035-6
- Jeong, H.(2011). An investigation of user perceptions and behavioral intentions towards the e-library. Library Collections. Acquisitions and Technical Services, 35(2-3), 45-60. https://doi.org/10.1080/14649055.2011.10766298
- Jeong, J. G., & Jang, K. J.(2010). A study on the factors of smart-phone selection centered on actual users. The E-business Studies, 11(4), 361-379. https://doi.org/10.15719/GEBA.11.4.201011.361
- Karahanna, E., Straub, D. W., & Chervany, N. L.(1999). Information technology adoption across time: A cross-sectional comparison of preadoption and post adoption beliefs. MIS Quarterly, 23(2), 183-213. https://doi.org/10.2307/249751
- Kim, K. J.(2016). Round or square? How screen shape affects utilitarian and hedonic motivations for smartwatch adoption. Cyberpsychology. Behavior and Social Networking, 19(12), 733-739. https://doi.org/10.1089/cyber.2016.0136
- Kim, K. J., & Shin, D. H.(2015). An acceptance model for smart watches: Implications for the adoption of future wearable technology. Internet Research, 25(4), 527-541. https://doi.org/10.1108/IntR-05-2014-0126
- Kranthi, A. K., & Ahmed, K. A.(2018). Determinants of smartwatch adoption among IT professionals-an extended UTAUT2 model for smartwatch enterprise. International Journal of Enterprise Network Management, 9(3-4), 294-316. https://doi.org/10.1504/IJENM.2018.094669
- Kuo-Lun Hsiao.(2013). Android smartphone adoption and intention to pay for mobile internet: Perspectives from software, hardware, design, and value. Library Hi Tech, 31(2), 216-235. https://doi.org/10.1108/07378831311329022
- Lee, B. G., Yeo, Y. K., Kim, K. Y., & Lee, J. H.(2010). Effects of trust and cognitive absorption on smart phone use and user satisfaction. The KIPS Transactions: PartD, 17(6), 471-480.
- Lee, G. G., & Lin, H. F.(2005). Customer perceptions of e-service quality in online shopping. International Journal of Retail & Distribution Management, 33(2), 161-176. https://doi.org/10.1108/09590550510581485
- Lee, K. C., & Chung, N.(2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean's model perspective. Interacting with Computers, 21(5), 385-392. https://doi.org/10.1016/j.intcom.2009.06.004
- Liu, D., & Guo, X.(2017). Can trust and social benefit really help? Empirical examination of purchase intentions for wearable devices. Information Development, 33(1), 43-56. https://doi.org/10.1177/0266666916635724
- Martilla, John A. & John C. James.(1977). Importance-Performance Analysis, Journal of Marketing, 41(Jan), pp.77-79 https://doi.org/10.1177/002224297704100112
- Motti, V. G., & Caine, K.(2016). Smart wearables or dumb wearables? Understanding how context impacts the UX in wrist worn interaction. In Proceedings of the 34th ACM International Conference on the Design of Communication, pp.1-10.
- Nelson, R. R., Todd, P. A., & Wixom, B. H.(2005). Antecedents of information and system quality: An empirical examination within the context of data warehousing. Journal of Management Information Systems, 21(4), 199-235.
- Ogbanufe, O., & Gerhart, N.(2018). Watch it! Factors driving continued feature use of the smartwatch. International Journal of Human-Computer Interaction, 34(11), 999-1014. https://doi.org/10.1080/10447318.2017.1404779
- Oliver, R. L.(1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.1177/002224378001700405
- Oliver R. L.(1996). Varieties of value in the consumption satisfaction response. Advances in Consumer Research, 23, 143-147.
- Pal, D., Funilkul, S., & Vanijja, V.(2020). The future of smartwatches: assessing the end-users' continuous usage using an extended expectation-confirmation model. Universal Access in the Information Society, 19(2), 261-281. https://doi.org/10.1007/s10209-018-0639-z
- Petter, S., & McLean, E. R.(2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management, 46(3), 159-166. https://doi.org/10.1016/j.im.2008.12.006
- Phuong, N. N. D., Luan, L. T., Van Dong, V., & Khanh, N. L. N.(2020). Examining customers' continuance intentions towards e-wallet usage: The emergence of mobile payment acceptance in Vietnam. The Journal of Asian Finance, Economics and Business (JAFEB), 7(9), 505-516. https://doi.org/10.13106/jafeb.2020.vol7.no9.505
- Prasetyo, Y. T., Ong, A. K. S., Concepcion, G. K. F., Navata, F. M. B., Robles, R. A. V., Tomagos, I. J. T., ... & Redi, A. A. N. P.(2021). Determining factors Affecting acceptance of e-learning platforms during the COVID-19 pandemic: Integrating Extended technology Acceptance model and DeLone & Mclean is success model. Sustainability, 13(15), 8365.
- Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K.(2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732.
- Reichheld, F. F., & Schefter, P.(2000). E-loyalty: your secret weapon on the web. Harvard Business Review, 78(4), 105-113.
- Rezvani, S., Heidari, S., Roustapisheh, N., & Dokhanian, S.(2022). The effectiveness of system quality, habit, and effort expectation on library application use intention: the mediating role of perceived usefulness, perceived ease of use, and user satisfaction. International Journal of Business Information Systems, 1-18.
- Ross, I., & Oliver, R. L.(1984). The accuracy of unsolicited consumer communications as indicators of &Quot; True&Quot; consumer satisfaction/dissatisfaction. ACR North American Advances, 11, 504-508.
- Saracevic, T.(2007). Relevance: A review of the literature and a framework for thinking on the notion in information science. Part III: Behavior and effects of relevance. Journal of the American Society for Information, 58(13), 2126-2144. https://doi.org/10.1002/asi.20681
- Spreng, R. A., & Olshavsky, R. W.(1993). A desires congruency model of consumer satisfaction. Journal of the Academy of Marketing Science, 21, 169-177. https://doi.org/10.1177/0092070393213001
- Steuer, J., Biocca, F., & Levy, M. R.(1995). Defining virtual reality: Dimensions determining telepresence. Communication in The Age of Virtual Reality, 33, 37-39.
- Venkatesh, V. & Davis, F.(2000), A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
- Venkatesh, V., & Davis, F. D.(1996), A model of the antecedents of perceived ease of use: Development and test, Decision Sciences, 27(3), 451- 481. https://doi.org/10.1111/j.1540-5915.1996.tb01822.x
- Wu, L. H., Wu, L. C., & Chang, S. C.(2016). Exploring consumers' intention to accept smartwatch. Computers in Human Behavior, 64, 383-392. https://doi.org/10.1016/j.chb.2016.07.005
- Yang, H., Yu, J., Zo, H., & Choi, M.(2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256-269. https://doi.org/10.1016/j.tele.2015.08.007
- Yeh, C. H., Wang, Y. S., & Yieh, K.(2016). Predicting smartphone brand loyalty: Consumer value and consumer-brand identification perspectives. International Journal of Information Management, 36(3), 245-257.
- Zhou, T.(2014). Understanding continuance usage intention of mobile internet sites. Universal Access in the Information Society, 13(3), 329-337. https://doi.org/10.1007/s10209-013-0313-4
- Counterpoint Research, Global Smartwatch Shipments Market Share Q4 2022,2023 02
- Hayes, A. F.(2013). Mediation, moderation, and conditional process analysis. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach, 1, 20.
- Horwitz, J.(2015). Apple announces watchOS 2 with third-party Apple Watch apps, new Timepieces, video playback, much more. URL https://9to5mac.com/2015/06/08/apple-announces-new-version-of-watchos/
- Fingas, R.(2016). IBM adopts Apple watch for internal fitness initiative & Watson-linked health app.
- Shneiderman, B., Plaisant, C., Cohen, M. S., Jacobs, S., Elmqvist, N., & Diakopoulos, N.(2016). Designing the User Interface: Strategies For Effective Human-Computer Interaction. Pearson.
- Silbert, S.(2018). Apple Watch: Everything You Need to Know. Web Document. Lifewire. Accessed 2 April 2018. URL https://www.lifewire.com/apple-watch-models-4175232