참고문헌 (69)

1. Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261-277.？https://doi.org/10.1037/h0076477 

   상세보기

2. Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411-454. https://doi.org/10.1086/209080 

   상세보기

3. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation？modeling in practice: A review and recommended two-step？approach. Psychological Bulletin, 103(3), 411-423. https://doi:10.1037/0033-2909.103.3.411 

   상세보기

4. Bae, B. (2017). AMOS 24 구조방정식모델링 [AMOS 24 structural equation modeling]. Cheongram. 

5. Baek, J. (2021, May 25). 추천보다 무료 반품.교환...새롭게 뜨는 패션 플랫폼 전쟁 [Free return.exchange rather than？recommendation...The emerging fashion platform war].？SEDAILY. https://www.sedaily.com/NewsView/22MHXE5CF0 

6. Baek, S.-Y. (2013). A study on continued IT use with qualitative comparative analysis(QCA). Journal of Industrial Innovation, 29(4), 25-49. http://dx.doi.org/10.22793/indinn.2013.29.4.002 

   

7. Bhattacherjee, A. (2001). Understanding information systems？continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921 

   상세보기

8. Bhattacherjee, A., & Lin, C.-P. (2015). A unified model of IT？continuance: Three complementary perspectives and crossover effects. European Journal of Information Systems, 24(4), 364-373. https://doi.org/10.1057/ejis.2013.36 

   상세보기

9. Chae, J. M. (2016). The effect of fashion shopping orientation？on consumer's purchase intention in a mobile shopping？mall: The differences of groups according to gender and？purchase frequency. The Research Journal of the Costume？Culture, 24(4), 457-470. http://dx.doi.org/10.7741/rjcc.2016.24.4.457 

   원문보기 상세보기

10. Cho, N. H. (2003). Internet shoppers' dissatisfaction and complaining behavior [Unpublished master's thesis]. Ewha Womans University. 

11. Choi, D., & Kim, H. (2018). The impact of the service quality？of hotel's mobile web on the usage satisfaction: Focusing on？regulation effect of mobile web familiarity. Journal of Tourism Management Research, 22(7), 439-463. https://doi.org/10.18604/tmro.2018.22.7.21 

    상세보기

12. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.？https://doi.org/10.1287/mnsc.35.8.982 

    상세보기

13. Doan, T. C., Jung, D.-H., & Jung, C. H. (2021). Analysis of factors influencing continuous usage intention of electronic payment services based on the extended post adoption model:？Focused on Vietnamese users. Management & Information？Systems Review, 40(2), 187-201. 

14. Festinger, L. A. (1957). A theory of cognitive dissonance. Row？and Peterson. 

15. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement？error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800313 

    상세보기

16. Guo, Z., Zhang, D., Zhang, S., Liu, X., & Li, J. (2016). The？design of a form-changing female fitting robot. Journal of？Advanced Mechanical Design, Systems, and Manufacturing,？10(8), 1-9. https://doi.org/10.1299/jamdsm.2016jamdsm0097 

    상세보기

17. Hayes, A. F. (2018). Introduction to mediation, moderation, and？conditional process analysis: A regression-based approach？(2nd ed.). The Guilford Press. 

18. Hur, H. J., & Kim, W. B. (2022). Consumer acceptance intention of AI fashion chatbot service: Focusing on characteristics of chatbot's para-social presence. Journal of the？Korean Society of Clothing and Textiles, 46(3), 464-480.？https://doi.org/10.5850/JKSCT.2022.46.3.464 

    원문보기 상세보기

19. Hur, H. J., & Lee, H. K. (2021). Augmented reality(AR) fashion shopping service acceptance based on consumers'？technology readiness. Fashion & Textile Research Journal,？23(3), 347-357. https://doi.org/10.5805/sfti.2021.23.3.347 

    원문보기 상세보기

20. Hur, H. J., Jang, J. Y., & Choo, H. J. (2019). The effect of VR？fashion shopping channel characteristics and consumer's？involvement in channel acceptance: Focusing on the？vividness, interactivity and fashion involvement. Journal of？the Korean Society of Clothing and Textiles, 43(5), 725-741. https://doi.org/10.5850/jksct.2019.43.5.725 

    원문보기 상세보기

21. Hyun, S.-H., & Lee, K.-H. (2015). The effect of expectation？confirmation towards mobile tourist information services？on word-of-mouth intentions in the context of convention？center: Application of a extended expectation-confirmation？model. International Journal of Tourism Management and？Science, 30(1), 105-123. 

22. Jeong, H. (2018). The effect of expectation-confirmation, perceived usefulness, task-technology fit, and satisfaction on？the continuous use intention of elementary school teachers？for flipped learning. The Korea Educational Review, 24(2),？253-278. https://doi.org/10.29318/ker.24.2.10 

    상세보기

23. Ji, H.-K. (2008). A study on the relationship between perceived？risks and return behavior on internet clothing shopping.？Journal of Korean Society for Clothing Industry, 10(6), 917-925. 

24. Johnson, P. O., & Neyman, K. (1936). Tests of certain linear？hypothesis and their application to some educational problems. Statistical Research Memoirs, 1, 57-93. 

25. Jung, S. H., & Chung, B. G. (2020). Influence of digital experience factors on purchase: Focusing on moderating effects？of digital experience frequency. Journal of Venture Innovation, 3(2), 23-39. 

    원문보기 상세보기

26. Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional？comparison of pre-adoption and post-adoption beliefs. MIS？Quarterly, 23(2), 183-213. https://doi.org/10.2307/249751 

    상세보기

27. Kerstetter, D., & Cho, M.-H. (2004). Prior knowledge, credibility and information search. Annals of Tourism Research,？31(4), 961-985. https://doi.org/10.1016/j.annals.2004.04.002 

    상세보기

28. Kim, B. (2021, December 30). "길고 긴 불황 끝 보인다"... 회복 기대감 ↑ ["The long recession seems to be over"... Recovery expectations ↑]. NEWDAILY. https://biz.newdaily.co.kr/site/data/html/2021/12/30/2021123000054.html 

29. Kim, C. E. (2021a). Trends of size recommendation technology？in online fashion retailing. Journal of Korean Traditional？Costume, 24(1), 79-90. https://doi.org/10.16885/jktc.2021.3.24.1.79 

    상세보기

30. Kim, C. E. (2021b). Size recommendation technology convergence in e-shopping: Roles of service quality information？credibility and satisfaction on purchase intention. Journal of？the Korea Convergence Society, 12(7), 7-17. 

31. Kim, C. E. (2021c). The influence of service quality of size？recommendation technology using data convergence on？satisfaction through perceived value in online fashion？retailing. The Korean Society of Science & Art, 39(2), 95-111. https://doi.org/10.17548/ksaf.2021.03.30.95 

    상세보기

32. Kim, G.-A., Kim, C.-K., & Kim, M. J. (2013). An analysis of？the problem for providing product information in internet？shopping mall. Journal of Korea Design Forum, 38, 387-397. https://doi:10.21326/KSDT.2013..38.035 

    상세보기

33. Kim, H. J., & Rha, J.-Y. (2016). The study of moderated mediating model on SEM: Focusing on expectancy disconfirmation, satisfaction and continuous usage intention of LBS？application. Journal of Digital Convergence, 14(6), 119-132. https://doi.org/10.14400/JDC.2016.14.6.119 

    원문보기 상세보기

34. Kim, H. J., & Rha, J.-Y. (2017). Impacts of the O2O mobile？order and pay services continued use intention: Usage frequency moderating effect. Journal of Consumption Culture,？20(3), 199-226. https://doi.org/10.17053/jcc.2017.20.3.010 

    상세보기

35. Kim, J. H., & Choi, S. H. (2020). Study on the consumer's ambivalent responses to high-tech product: Control effect of？self-efficiency and product familiarity. Journal of Cultural？Product & Design, 62, 157-165. https://doi.org/10.18555/kicpd.2020.62.15 

    

36. Kim, J., & Kim, D. (2020). The effects of confirmation and perceived benefits on satisfaction and continuous usage intention for university online class systems. The Journal of？Information Systems, 29(4), 153-169. 

37. Kim, J.-H. (2010). Study on consumer's complaints behavior？and information search behavior according to return factors？of the internet fashion mall. Journal of the Korean Society of？Clothing and Textiles, 12(6), 745-754. https://doi.org/10.5805/KSCI.2010.12.6.745 

    원문보기 상세보기

38. Kim, J.-S., & Na, Y.-J. (2020). Online shopping: Satisfaction of？return services and return reasons according to types of？fashion shopping malls. Korean Journal of the Science of？Emotion and Sensibility, 23(1), 3-16. https://doi.org/10.14695/KJSOS.2020.23.1.3 

    원문보기 상세보기

39. Kim, T. (2023, February 14). 사이즈 추천 정확도 98.5%... 온라인 구매 반품 절반 줄여 [Size recommendation accuracy？98.5%... Reduce online purchase and return by half]. KUKI？NEWS. https://www.kukinews.com/newsView/kuk202302140083 

40. Kim, Y.-R. (2019). Consumer resistance factor to unmanned？order payment system based on age, gender, and experience？difference. Korean Computers and Accounting Review, 17(2), 57-79. https://doi.org/10.32956/kaoca.2019.17.2.57 

    상세보기

41. King, W. R., & He, J. (2006). A meta-analysis of the technology？acceptance model. Information & Management, 43(6), 740-755. https://doi.org/10.1016/j.im.2006.05.003 

    상세보기

42. Korean Standards Association. (2019). KS K 0051: 2019-Sizing？systems for female adult's garments. Korean Agency for？Technology and Standards. https://oshri.ks.or.kr/search/stddetail.do?itemNoK001010123908 

43. Lee, A. L., & Kim, H. E. (2020). The sizing communications in？online apparel retail websites: Focusing on ready-to-wear？women's tailored jacket. Fashion & Textile Research Journal, 22(5), 617-627. https://doi.org/10.5805/SFTI.2020.22.5.617 

    원문보기 상세보기

44. Lee, A. L., & Kim, H. E. (2022). The sizing communications in？online apparel retail websites: Focusing on ready-to-wear？women's pants. Fashion and Textile Research Journal, 24(1), 117-126. https://doi.org/10.5805/SFTI.2022.24.1.117 

    원문보기 상세보기

45. Lee, B.-Y., & Kim, M.-Y. (2011). Factors affecting the continuance usage intention of biometric technology: Comparing？dark scenario with bright scenario. The Journal of Society？for e-Business Studies, 16(3), 1-22. https://doi.org/10.7838/jsebs.2011.16.3.001 

    원문보기 상세보기

46. Lee, D. (2023). Personalized size recommender system for？online apparel shopping: A collaborative filtering approach.？Journal of The Korea Society of Computer and Information,？28(8), 39-48. https://doi.org/10.9708/jksci.2023.28.08.039 

    원문보기 상세보기

47. Lee, H. K., Yoon, N., & Jang, S. (2018). Consumers' usage intentions on online product recommendation service: Focusing on the mediating roles of trust-commitment. Journal of？the Korean Society of Clothing and Textiles, 42(5), 871-883. https://doi.org/10.5850/JKSCT.2018.42.5.871 

    원문보기 상세보기

48. Lee, I. H. (2020). Easyflow statistics macro. Statedu. http://doi.org/10.22934/StatEdu.2020.01 

    

49. Lee, M.-B. (2011). A study on exploring factors influencing？continuance intention in the SNS. Journal of Korea Society？of Industrial Information Systems, 17(5), 61-73. https://doi.org/10.9723/jksiis.2011.16.5.151 

    원문보기 상세보기

50. Lee, S. (2020). Study on the influence of Korean female college？students' motivation for using youtube on loyalty. Journal of？Practical Research in Advertising and Public Relations, 13(4), 157-178. http://dx.doi.org/10.21331/jprapr.2020.13.4.006 

    

51. Lim, J. (2021, June 30). 도전! 고객 반품률 한 자릿수 실현？[Challenge! Realize single digits of customer returns]. Fashion Insight. http://www.fi.co.kr/mobile/view.asp?idx70177 

52. Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrating perceived？playfulness into expectation-confirmation model for web？portal context. Information & Management, 42(5), 683-693. https://doi.org/10.1016/j.im.2004.04.003 

    상세보기

53. Mathieson, K. (1991). Predicting user intention: Comparing the？technology acceptance model with the theory of planned？behavior. Information Systems Research, 2(3), 173-191.？https://doi.org/10.1287/isre.2.3.173 

    상세보기

54. Moon, E., & Shin, W. S. (2022). A study on continuous intention of taking online course: Focusing on the expectation-confirmation model. The Korean Journal of Educational？Methodology Studies, 34(4), 901-922. 

55. Na, Y. (2010). A study of the purchase behavior of fashion？merchandise for the internet shopping-mall using extended？acceptance model(ETAM): In case of perceived value, risk？and trust in internet shopping. The Journal of Internet？Electronic Commerce Research, 10(3), 27-49. 

56. Oliver, R. L. (1980). A Cognitive model for the antecedents and？consequences of satisfaction. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.2307/3150499 

    

57. Oliver, R. L. (1993). Cognitive, affective, and attribute bases of？the satisfaction response. Journal of Consumer Research,？20(3), 418-430. https://doi.org/10.1086/209358 

    상세보기

58. Park, H., Kim, S., & Sohn, C. (2022). Understanding Over The？Top(OTT) and continuance intention to use OTT: Impacts？of OTT characteristics and price fairness. Knowledge Management Research, 23(1), 203-225. 

59. Ra, C.-I. (2022). A study on the continuous use intention of？delivery app based on the technology acceptance model: Focused on the mediating role of delivery app familiarity.？Journal of Industrial Innovation, 38(3), 43-54. http://doi.org/10.22793/indinn.2022.38.3.004 

    

60. Seo, S. (2023). Effect of consumers' privacy concerns on information disclosure intentions for size recommendation services based on body information: Focusing on privacy calculus theory. Journal of the Korean Society of Clothing and？Textiles, 47(3), 442-458. https://doi.org/10.5850/JKSCT.2023.47.3.442 

    원문보기 상세보기

61. Shin, D.-H. (2022). A study on the relationship between service？quality and visit intention in a cosmetics unmanned store:？Moderating effect of familiarity. Journal of Convergence？for Information Technology, 12(1). https://doi.org/10.22156/CS4SMB.2022.12.01.153 

    원문보기 상세보기

62. Shin, J. M. (2007). An analysis on causes of returning goods of？cable television home shopping: Focused on the cases of？jewelry goods [Unpublished master's thesis]. Chung-ang？University. 

63. Spreng, R. A., MacKenzie, S. B., & Olshavsky, R. W. (1996). A？reexamination of the determinants of consumer satisfaction.？Journal of Marketing, 60(3), 15-32. https://doi.org/10.2307/1251839 

    상세보기

64. Statistics Korea. (2023, February 1). 2022년 12월 및 연간 온라인쇼핑동향 [Trend of online shopping in December 2022？and annually]. Statistics Korea. https://kostat.go.kr/portal/korea/kor_nw/1/12/3/index.board?bmoderead&bSeq&aSeq416587&pageNo1&rowNum10&navCount10&currPg&searchInfo&sTargettitle&sTxt 

65. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003).？User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540 

    상세보기

66. Vroom, V. H. (1964). Work and motivation. Wiley. 

67. Wu, C., Zhou, Y., Wang, R., Huang, S., & Yuan, Q. (2022). Understanding the mechanism between IT identity, IT mindfulness and mobile health technology continuance intention:？An extended expectation confirmation model. Technological Forecasting and Social Change, 176(1), 121449.？https://doi.org/10.1016/j.techfore.2021.121449 

    상세보기

68. Yoon, N., Kim, H., & Choo, H. J. (2020). The effect of shopping value on continuous use intention of online crossborder shopping mediated by curiosity and self-efficacy:？Comparing heavy and light user. Journal of the Korean？Society of Clothing and Textiles, 44(5), 1004-1018. https://doi.org/10.5850/JKSCT.2020.44.5.1004 

    원문보기 상세보기

69. Yoon, S.-M., Ha, J.-Y., & Oh, S.-Y. (2012). Analysis of the？effect relationship among brand relationship quality, satisfaction, trust, loyalty, and familiarity of tourism destination.？The Academy of Customer Satisfaction Management, 14(2),？41-62.？ 

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