References
- 강희주,김승인. (2017). 메신저 기반의 모바일 챗봇 서비스 사용자 경험 평가 -구글(Allo)과 페이스북(M messenger)을 중심으로. 한국융합학회논문지, 8(9), 271-276 https://doi.org/10.15207/JKCS.2017.8.9.271
- 곽기영. (2005). 조직변화에 대한 태도와 정보시스템 수용. 경영학연구, 34(5), 1281-1300.
- 김광재. (2009). DMB의 수용결정요인에 관한 연구. 한국언론학보, 53(3), 296-323.
- 김수영. (2023.01.26.). "AI를 일상으로"...차세대 AI 개발에 5년간 2600억 투입키로. 노컷뉴스. https://www.nocutnews.co.kr/news/5885212
- 김태원. (2023). ChatGPT 는 혁신의 도구가 될 수 있을까?: ChatGPT 활용 사례 및 전망. NIA THE AI REPORT, 1, 1-16.
- 노미진, 김호열. (2007). 모바일 특성이 모바일 서비스 수용에 미치는 영향. 경영교육연구, 48(1), 125-150.
- 백상용. (2009). 조절변수 탐색을 위한 기술수용모형 메타분석. 경영학연구, 38(5), 1353-1380.
- 성상훈. (2023.02.01.). '챗GPT 신드롬'...세계 AI 시장 연 500조원 규모로 커진다. 한국경제. https://www.hankyung.com/finance/article/2023020167061
- 시사상식사전(2023), MZ 세대, https://terms.naver.com/entry.naver?cid=43667&docId=5900733&categoryId=43667
- 신동광, 정혜경, 이용상. (2023). 내용중심 영어 교수 학습의 도구로서 ChatGPT의 활용 가능성 탐색. 영어교과교육, 22(1), 171-192.
- 신현식, 송용욱, 성낙현. (2010). 모바일 인터넷과 PC 인터넷의 특성 차이에 대한 인식이 모바일 인터넷 사용 의도에 미치는 영향에 대한 연구. 한국전자거래학회지, 15(3), 99-129.
- 안운석. (2016). 기술준비도 수용모형에 기반한 SNS 지속적 이용에 관한 연구. 서비스경영학회지, 17(1), 257-280. https://doi.org/10.15706/JKSMS.2016.17.1.012
- 양연지, 김기옥. (2020). Z 세대와 밀레니얼 세대의 스마트폰 활용패턴에 따른 잠재프로파일분석. 소비자학 연구, 31(4), 159-182.
- 이경태. (2023.02.16). 정부, 인공지능 초일류 강국 도약 목표 설정...변화 속도 대응 '미흡'. 뉴스핌. https://www.newspim.com/news/view/20230215000924
- 이윤희, 김창식, 안현철. (2023). ChatGPT 에 관한 연구: 뉴스 빅데이터 서비스와 ChatGPT 활용 사례를 중심으로. 디지털산업정보학회논문지, 19(1), 139-151. https://doi.org/10.17662/KSDIM.2023.19.1.139
- 이종숙. (2020). MZ 세대의 YouTube 기반 뷰티건강정보 수용에 영향을 미치는 요인: 기술준비수용모델 적용을 중심으로. 대한미용학회지, 16(4), 367-375. https://doi.org/10.15810/JIC.2020.16.4.007
- 이지은, 신민수. (2011). 스마트폰 기반 모바일뱅킹 채택에 영향을 미치는 요인: 기술준비도와 전문지식을 중심으로. 한국전자거래학회지, 16(4), 155-172. https://doi.org/10.7838/JSEBS.2011.16.4.155
- 정은유. (2019). 항공사 모바일앱 특성이 사용에 대한 태도와 사용의도에 미치는 영향: 재미의 조절효과를 중심으로. 관광경영연구, 23(6), 201-219.
- 조진완, 이종호. (2014). 소비자의 기술준비도가 사물인터넷 사용의도에 미치는 영향에 관한 연구. 한국경영교육학회 학술발표대회논문집, 533-554.
- Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information systems research, 9(2), 204-215. https://doi.org/10.1287/isre.9.2.204
- Ajzen, I. (1985). From intentions to actions: A theory of planned behavior (pp. 11-39). Springer Berlin Heidelberg.
- Aljanabi, M., Ghazi, M., Ali, A. H., & Abed, S. A. (2023). ChatGPT: open possibilities. Iraqi Journal For Computer Science and Mathematics, 4(1), 62-64.
- Aydin, O., & Karaarslan, E. (2022). OpenAI ChatGPT generated literature review: Digital twin in healthcare. Available at SSRN 4308687.
- Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 23-28.
- 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 1. Journal of applied social psychology, 22(14), 1111-1132.
- Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
- Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
- Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 51-90.
- Golant, S. M. (2017). A theoretical model to explain the smart technology adoption behaviors of elder consumers (Elderadopt). Journal of Aging Studies, 42, 56-73. https://doi.org/10.1016/j.jaging.2017.07.003
- Hirschman, E. C. (1980). Innovativeness, novelty seeking, and consumer creativity. Journal of consumer research, 7(3), 283-295. https://doi.org/10.1086/208816
- Hurt, H. T., Joseph, K., & Cook, C. D. (1977). Scales for the measurement of innovativeness. Human Communication Research, 4(1), 58-65. https://doi.org/10.1111/j.1468-2958.1977.tb00597.x
- Jiao, W., Wang, W., Huang, J. T., Wang, X., & Tu, Z. (2023). Is ChatGPT a good translator? A preliminary study. arXiv preprint arXiv:2301.08745.
- Liljander, V., Gillberg, F., Gummerus, J., & 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.
- Lin, C. H., Shih, H. Y., & Sher, P. J. (2007). Integrating technology readiness into technology acceptance: The TRAM model. Psychology & Marketing, 24(7), 641-657. https://doi.org/10.1002/mar.20177
- Lin, J. S. C., & Hsieh, P. L. (2007). The influence of technology readiness on satisfaction and behavioral intentions toward self-service technologies. computers in Human Behavior, 23(3), 1597-1615. https://doi.org/10.1016/j.chb.2005.07.006
- Midgley, D. F., & Dowling, G. R. (1978). Innovativeness: The concept and its measurement. Journal of consumer research, 4(4), 229-242. https://doi.org/10.1086/208701
- Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
- 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
- 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
- Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134. https://doi.org/10.1080/10864415.2003.11044275
- Pavlou, P. A., & Chai, L. (2002). What drives electronic commerce across cultures. A cross-cultural empirical investigation of the theory of planned behavior‟ Journal of Electronic Commerce Research, 3(4), 240-253.
- Raman, A., & Don, Y. (2013). Preservice teachers' acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6(7), 157-164.
- Rogers, E. M. (2003). Diffusion of Innovations(5th ed.). New York: The Free Press.
- Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343-1354. https://doi.org/10.1016/j.chb.2009.06.001
- Stoneman, P. (1987). Some analytical observations on diffusion policies. Economic Policy and Technological Performance, edited by Partha Dasgupta and Paul Stoneman, 154-168.
- Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
- 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
- Verhoef, P. C., & Langerak, F. (2001). Possible determinants of consumers' adoption of electronic grocery shopping in the Netherlands. Journal of Retailing and Consumer Services, 8(5), 275-285. https://doi.org/10.1016/S0969-6989(00)00033-3
- Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16(1), 85-102. https://doi.org/10.1287/isre.1050.0042
- Xu, L. D., He, W., & Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on industrial informatics, 10(4), 2233-2243. https://doi.org/10.1109/TII.2014.2300753
- Zhai, X. (2022). ChatGPT user experience: Implications for education. Available at SSRN 4312418.