참고문헌 (69)

1. Ahn, S. (2021, May 24). 미래 비즈니스 바꾸는 新인류 'MZ세대' ['MZ Generation', a new generation that will change the future business]. EconomyChosun. Retrieved November 19, 2021, from, http://economychosun.com/client/news/view.php?boardNameC00&t_num13610830# 

2. Anderson, E. W. (1998). Customer satisfaction and word of mouth. Journal of Service Research, 1(1), 5-17. doi:10.1177/109467059800100102 

   상세보기

3. Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, Chatbot - Modeling the determinants of users' satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, 101473. doi:10.1016/j.tele.2020.101473 

   상세보기

4. Bachleda, C., & Berrada-Fathi, B. (2016). Is negative eWOM more influential than negative pWOM? Journal of Service Theory and Practice, 26(1), 109-132. doi:10.1108/JSTP-11-2014-0254 

   상세보기

5. Brod, C. (1984). Technostress - The human cost of the computer revolution. Reading, Mass - Addison-Wesley. 

6. Cha, J. (2021). The effect of UI usability of mobile healthcare applications on technostress and continuous use intention - Focusing on elderly users. Journal of Digital Convergence, 19(5), 295-305. doi:10.14400/JDC.2021.19.5.295 

   원문보기 상세보기

7. Charlett, D., Garland, R., & Marr, N. (1995). How damaging is negative word of mouth. Marketing Bulletin, 6(1), 42-50. 

8. Chen, J. V., Tran, A., & Nguyen, T. (2019). Understanding the discontinuance behavior of mobile shoppers as a consequence of technostress - An application of the stress-coping theory. Computers in Human Behavior, 95, 83-93. doi:10.1016/j.chb.2019.01.022 

   상세보기

9. Cho, S. B., Jang, Y. J., & Kim, W. G. (2017). The moderating role of severity of service failure in the relationship among regret/disappointment, dissatisfaction, and behavioral intention. Journal of Quality Assurance in Hospitality and Tourism, 18(1), 69-85. doi:10.1080/1528008x.2016.1169470 

   상세보기

10. Chung, B., Min, S., Lee, Y., & Han, Y. (2021). 2020 인터넷이용실태조사 [2020 survey on the internet usage]. National Information Society Agency. Retrieved August 7, 2021, from, https://www.nia.or.kr/common/board/Download.do?bcIdx21013&cbIdx99870&fileNo2 

11. Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587-595. doi:10.1016/j.jbusres.2018.10.004 

    상세보기

12. Fan, A., Wu, L., & Mattila, A. S. (2018). Gender differences in the intentions to voice complaints across different service failure modes. Journal of Foodservice Business Research, 21(1), 22-32. doi:10.1080/15378020.2016.1229091 

    상세보기

13. Han, S., & Sung, H. (2007). A new findings on negative behavioral responses to disappointment, betrayal, regret in failed services. Consumer Behavior & Theory, 10(2), 1-28. doi:10.17053/jcc.2007.10.2.001 

    

14. Harrison Walker, L. J. (2001). E complaining - A content analysis of an Internet complaint forum. Journal of Services Marketing, 15(5), 397-412. doi:10.1108/EUM0000000005657 

    상세보기

15. Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. New Challenges to International Marketing, 20, 277-3120 doi:10.1108/S1474-7979(2009)0000020014 

    

16. Hill, J., Ford, W. R., & Farreras, I. G. (2015). Real conversations with artificial intelligence - A comparison between human-human online conversations and human-chatbot conversations. Computers in Human Behavior, 49, 245-250. doi:10.1016/j.chb.2015.02.026 

    상세보기

17. Holloway, B. B., & Beatty, S. E. (2003). Service failure in online retailing - A recovery opportunity. Journal of Service Research, 6(1), 92-105. doi:10.1177/1094670503254288 

    상세보기

18. Hong, H., & Ryu, S. (2012). Motives for writing after-purchase consumer reviews in online stores and classification of online store shoppers. Journal of Distribution Research, 17(3), 25-57. 

19. Hyun, Y. G., Lim, J. T., Han, J. H., Chae, U., Lee, G.-H., Ko, J. D., Cho, Y. H., & Lee, J. Y. (2020). A study on the development methodology for user-friendly interactive chatbot. Journal of Digital Convergence, 18(11), 215-226. doi:10.14400/JDC.2020.18.11.215 

    원문보기 상세보기

20. Jang, Y. J., Cho, S. B., & Kim, W. G. (2013). Effect of restaurant patrons' regret and disappointment on dissatisfaction and behavioral intention. Journal of Travel and Tourism Marketing, 30(5), 431-444. doi:10.1080/10548408.2013.803388 

    상세보기

21. Janssen, A., Grutzner, L., & Breitner, M. H. (2021). Why do chatbots fail? A critical success factors analysis. Retrieved November 16, 2021, from, https://aisel.aisnet.org/icis2021/hci_robot/hci_robot/6 

22. Jeong, S. G., Hur, H. J., & Choo, H. J. (2020). The effect of fashion shopping chatbot characteristics on service acceptance intention - Focusing on anthropomorphism and personalization. Journal of the Korean Society of Clothing and Textiles, 44(4), 573-593. doi:10.5850/jksct.2020.44.4.573 

    원문보기 상세보기

23. Ju, S. R., & Chung, M. S. (2008). A study on customer dissatisfaction, complaining behavior, and long-term orientation of internet fashion shopping mall. Journal of the Korean Society of Clothing and Textiles, 32(12), 1866-1877. doi:10.5850/jksct.2008.32.12.1866 

    원문보기 상세보기

24. Jung, M. (2020a, October 6). (콜센터가 사라진다) ② 너도나도 'AI챗봇' 도입... 2024년 시장 규모 10조원까지 성장 [(The disappearing call center) ② AI chatbots are adopting... market size is expected to grow by 10 trillion won in 2024]. Aju Business Daily. Retrieved November 24, 2021, from, https://www.ajunews.com/view/20201006002514980 

25. Jung, Y. S. (2020b). 유통업 지각 변동 몰고 온 언택트 쌍방향 소통 '라이브 커머스'에 올라타라 [Ride on live commerce, an untact interactive communication that has caused a cataclysmic change in the retail industry]. DBR, May(2). Retrieved March 18, 2022, from, https://dbr.donga.com/article/view/1202/article_no/9609/ac/magazine 

26. Kim, B. K., Kim, H. A., Sim, C. E., & Jeong, J. W. (2017). Design and implementation of crowd-sourced Q&A system based on social chat-bot. The Journal of Korean Institute of Information Technology, 15(11), 125-138. doi:10.14801/jkiit.2017.15.11.125 

    상세보기

27. Kim, E. (2018, January 8). 쇼핑 비서 '챗봇' 써보니... 롱패딩은 알아도 인조모피는 몰라 [My shopping secretary 'chatbot' knows about long padding jackets but does not know about fake fur]. Chosun Biz,. Retrieved June 11, 2019, from, http://news.chosun.com/site/data/html_dir/2018/01/08/2018010800500.html 

28. Kim, H. J., & Cho, S. (2018). The effect of negative expectancy disconfirmation of restaurant customers on complaining behavior and switching intention - Comparative study in Korea and Japan. Journal of Product Research, 36(6), 17-29. doi:10.36345/kacst.2018.36.6.002 

    상세보기

29. Kim, J. (2017, January 10). 챗봇이 뜬다② 커머스편] 인터파크와 11번가를 통해 바라보는 커머스 챗봇의 내일 [Chatbots are rising ② commerce edition] The tomorrow of commerce chatbots viewed through Interpark and 11th Street]. CLO. Retrieved January 25, 2021, from http://clomag.co.kr/article/2045 

30. Kim, J. (2021, June 8). 코어에이아이, "국내 기업 39%, 챗봇 운영시 질문 의도 파악 못해 어려움 겪어 [Kore.AI, "39% of domestic companies have difficulties in understanding the intent of the question when operating a chatbot]. Electronic Times. Retrieved November 11, 2021, from https://www.etnews.com/20210608000205?m1 

31. Kim, J. Y., & Cho, M. H. (2017). The effect of service failure on face loss and complaint behavior - Focused on full service restaurant. Journal of Foodservice Management Society of Korea, 20(1), 63-85. 

32. Kim, M. G., Wang, C., & Mattila, A. S. (2010). The relationship between consumer complaining behavior and service recovery - An integrative review. International Journal of Contemporary Hospitality Management, 22(7), 975-991. doi:10.1108/09596111011066635 

    상세보기

33. Kim, S. H. (2006). A study on the effects of consumer attributes and emotions on dissatisfaction and behaviors in case of negative expectancy disconfirmation - Comparison for relative influence according to consumers' efforts before purchase. Korean Management Review, 35(5), 1497-1528. 

34. Kim, S. H., Park, J. H., & Kim, D. (2016). The effects of recovery effort through recovery satisfaction on switching behavior and negative word-of-mouth in service failure - Direct and moderate effect of cheong. Journal of Marketing Management Research, 21(3), 23-51. 

35. Kim, T. (2014, January 12). 스마트폰과 건강, 당신도 '테크노 스트레스'? [Smartphone and health, are you also 'technostress'?]. Korea Herald Business. Retrieved November 24, 2021, from http://news.heraldcorp.com/view.php?ud20140110000087 

36. Kong, O. R., & Rhee, H. J. (2009). A comparative study on negative emotions triggering behavioral responses and dissatisfaction due to failed service encounters. Journal of Korea Service Management Society, 10(1), 271-298. doi:10.15706/jksms.2009.10.1.012 

    

37. Kwak, J., Kim, N., & Kim, M. S. (2019). The relationship among chatbot's characteristics, service value, and customer satisfaction. International Journal of Industrial Distribution & Business, 10(3), 45-58. doi:10.13106/ijidb.2019.vol10.no3.45. 

    

38. Lee, C. H., & Cranage, D. A. (2012). Toward understanding consumer processing of negative online word-of-mouth communication - The roles of opinion consensus and organizational response strategies. Journal of Hospitality & Tourism Research, 38(3), 330-360. doi:10.1177/1096348012451455 

    상세보기

39. Lee, K. Y. (2017). A study of structural relationship between technostress and mobile application discontinuance intention. Korean Journal of Business Administration, 30(10), 1835-1855. doi:10.18032/kaaba.2017.30.10.1835 

    상세보기

40. Lee, M. K., & Park, H. (2019). Exploring factors influencing usage intention of chatbot - Chatbot in financial service. Journal of the Korean Society for Quality Management, 47(4), 755-765. doi:10.7469/JKSQM.2019.47.4.755 

    원문보기 상세보기

41. Lee, S. B., Moon, J. Y., & Kwak, J. S. (2014a). A study on the consumer choice by technostress - Focused on facebook. The Journal of the Korea Contents Association, 14(12), 402-410. 

42. Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014b). The dark side of smartphone usage - Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31, 373-383. doi:10.1016/j.chb.2013.10.047 

    상세보기

43. Li, L., Lee, K. Y., Emokpae, E., & Yang, S. B. (2021). What makes you continuously use chatbot services? Evidence from chinese online travel agencies. Electronic Markets, 31, 575-599. doi:10.1007/s12525-020-00454-z 

    상세보기

44. Liu, K. Y., & Ryu, M. H. (2021). A Study on dissatisfaction and complaining behavior on SNS market - Verification of moderating effect of subjective knowledge. Journal of Consumption Culture, 24(1), 23-47. doi:10.17053/jcc.2021.24.1.002 

    

45. Nam, H. (2020, November 13). AI 도입한 기업들, 실효성 떨어져 '속앓이' [The chatbot adopted companies suffer from the low effectiveness of chatbots]. ZDNet Korea. Retrieved January18, 2021, from https://zdnet.co.kr/view/?no20201111161552 

46. Oliver, R. L. (1987). An investigation of the interrelationship between consumer (dis) satisfaction and complaint reports. Advances in Consumer Research, 14(1), 218-222. 

47. 'Pandemic resurgence and the changing role of chatbot'. (2020, August 23). Tony Around. Retrieved September 5, 2021, from https://tonyaround.com/%ED%8E%9C%EB%8D%B0%EB%AF%B9-%EC%9E%AC%EC%9C%A0%ED%96%89%EA%B3%BC-%EC%B1%97%EB%B4%87%EC%9D%98-%EC%97%AD%ED%95%A0-%EB%B3%80%ED%99%94/ 

48. Park, B. D., & Park, J. Y. (2003). A study on customer dissatisfaction and complaining behavior of internet shopping mall. Journal of Marketing Management Research, 8(3), 83-106. 

49. Park, J. (2017). 챗봇의 역할은 '수다꾼' 아닌 효율성. 알고리즘 보다 데이터 품질 높여야 [The role of chatbots is efficiency, not chatter. Better data quality than algorithms]. Dong-A Business Review. Retrieved November 11, 2021, from https://dbr.donga.com/article/view/1101/article_no/8181/ac/special 

50. Park, K. & Ryu, G. (2011). The impact of word-of-mouth transmission on communicator's affective responses - The role of word-of-mouth valence and motive. Journal of Consumer Studies, 22(4), 77-101. 

51. Park, N., Choi, H., & Lee, C. (2011). Factors influencing technostress of smartphone users. The Journal of Korean Institute of Information Technology, 9(2), 179-186. 

52. Park, S. J., & John, C. M. (2009). Consumers' attitude toward complaining - A cross-cultural comparison of its traits predictors. Asia Marketing Journal, 11(1), 1-27. 

53. Richins, M. L. (1983). Negative word-of-mouth by dissatisfied consumers - A pilot study. Journal of Marketing, 47(1), 68-78. doi:10.2307/3203428 

    상세보기

54. Ro, H. (2014). Complaint, patience, and neglect - Responses to a dissatisfying service experience. Service Business, 8(2), 197-216. doi:10.1007/s11628-013-0193-y 

    상세보기

55. Sanchez, G. (2013). PLS path modeling with R. Trowchez Editions. Retrieved August 1, 2021, from http://www.gastonsanchez.com/ PLS Path Modeling with R.pdf 

56. Sanchez, G., Trinchera, L., & Russolillo, G. (2017). plspm - Tools for Partial Least Squares Path Modeling (PLS-PM). In (Version R package version 0.4.9) Retrieved August 1, 2021, from https://CRAN.R-project.org/packageplspm 

57. Shim, E. S., & Rhee, H. J. (2013). Influences of consumer perceived risks and valence of word of mouth information on purchase intention in social commerce. Journal of Information Technology Services, 12(3), 73-93. doi:10.9716/kits.2013.12.3.073 

    원문보기 상세보기

58. Son, J. A., & Rhee, E.-Y. (2007). The effects of information characteristics(direction, consensus) on word-of-mouth performance in online apparel shopping. Journal of the Korean Society of Clothing and Textiles, 31(8), 1157-1167. doi:10.5850/JKSCT.2007.31.8.1157 

    원문보기 상세보기

59. Song, Y. J., & Choi, S. M. (2020). The effects of chatbots' anthropomorphism and self-disclosure on consumers' perceptions of and attitude toward the chatbots. Journal of the HCI Society of Korea, 15(1), 17-28. doi:10.17210/jhsk.2020.03.15.1.17 

    상세보기

60. Suh, C. J., & Yoon, J. O. (2019). The effects of perceived chatbot service quality on customer satisfaction and word of mouth Journal of Korea Service Management Society, 20(1), 201-222. doi:10.15706/jksms.2019.20.1.010 

    상세보기

61. Sweeney, J., Soutar, G., & Mazzarol, T. (2007). The differences between positive and negative word-of-mouth - Emotion as a differentiator. In S. Gopalan & N. Taher (Eds.), Viral Marketing: Concepts and Cases (pp. 156-168). ICFAI University Press. 

62. Tien, D. H., Rivas, A. A. A., & Liao, Y. K. (2019). Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention in social networking sites. Asia Pacific Management Review, 24(3), 238-249. doi:10.1016/j.apmrv.2018.06.003 

    상세보기

63. Um, K. H., & Kim, S. M. (2018). Application of fairness theory to medical tourists' dissatisfaction and complaint behaviors - The moderating role of patient participation in medical tourism. Journal of Social Service Research, 44(2), 191-208. 

    상세보기

64. Verkijika, S. F. (2019). Digital textbooks are useful but not everyone wants them - The role of technostress. Computers & Education, 140, 1-16. doi:10.1016/j.compedu.2019.05.017 

65. Wetzer, I. M., Zeelenberg, M., & Pieters, R. (2007). "Never eat in that restaurant, I did!" - Exploring why people engage in negative word-of-mouth communication. Psychology & Marketing, 24(8), 661-680. doi:10.1002/mar.20178. 

    상세보기

66. Yim, M., & Park, M. (2015). An exploratory research on individual differences of technostress - In convergence age. Journal of Digital Convergence, 13(3), 137-153. doi:10.14400/JDC.2015.13.3.137 

    원문보기 상세보기

67. Yoon, C., & Kim, S. (2014). A tutorial on PLS structural equating modeling using R - (Centering on) Exemplified research model and data. Information Systems Review, 16(3), 89-112. doi:10.14329/isr.2014.16.3.089 

    원문보기 상세보기

68. Yun, H. S., Kim, J. H., & Bae, S. W. (2016). The relationship between high-tech product WOM information characteristics and WOM effectiveness under SNS environment. The Korean Journal of Advertising, 27(2), 113-136. doi:10.14377/kja.2016.2.28.113 

    상세보기

69. Zeelenberg, M., & Pieters, R. (2004). Beyond valence in customer dissatisfaction - A review and new findings on behavioral responses to regret and disappointment in failed services. Journal of Business Research, 57(4), 445-455. doi:10.1016/S0148-2963(02)00278-3 

    상세보기