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The Effects of Chatbot Service Quality, Trust, and Satisfaction on Chatbot Reuse Intention and Store Reuse Intention

차애영|지성구
한국유통과학회 (Korea Distribution Science Association)|2020.12|산경연구논집 (The Journal of Industrial Distribution & Business)|제11권 제12호|pp. 29-38

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키워드

SatisfactionTrustChatbot Service QualityChatbot Reuse IntentionStore Reuse Intention.

초록

Purpose: The purpose of this study is to empirically analyze the effect of chatbot service quality, chatbot trust, and chatbot satisfaction on chatbot reuse intention and store reuse intention. Research design, data, and methodology: We reviewed the literature on domestic and international chatbots, established hypotheses, and analyzed them. We empirically analyzed the process model in which chatbot service quality (interaction quality, information quality) has a positive effect on chatbot trust and chatbot satisfaction, and that chatbot trust and satisfaction positively affect chatbot reuse intention and store reuse intention. A survey was conducted on 212 people who had used shopping mall chatbots and financial service chatbots after demonstrating the shopping mall chatbot video. Structural equation modeling was conducted by using AMOS 24.0 to test the proposed relationships. Results: As a result of the empirical analysis, the effects of interaction quality on chatbot trust and information quality on chatbot satisfaction were not supported, but the rest of the hypotheses were statistically significant. It was found that the information quality of chatbot service had a positive effect on chatbot trust, but did not significantly affect chatbot satisfaction. In addition, the interaction quality of the chatbot positively affects the satisfaction of the chatbot, but it does not significantly affect the trust of the chatbot. Chatbot trust was found to have a positive effect on chatbot satisfaction. Chatbot trust and chatbot satisfaction were found to have a positive influence on the intention to reuse the chatbot. And, chatbot trust and chatbot satisfaction were found to have a positive influence on store reuse intention. Conclusions: The findings of this study offer significant theoretical and managerial contributions in the context of chatbot. Chatbots should enhance customer contact quality management from the perspective of total customer experience management rather than partial function. When providing a chatbot service, it is more desirable to give priority to providing accurate information to increase trust, and at the same time to improve customer satisfaction by increasing the quality of interaction. And in order to increase the competitive advantage of companies, the purpose of introducing chatbots should be clarified and approached strategically.

Abstract

Purpose: The purpose of this study is to empirically analyze the effect of chatbot service quality, chatbot trust, and chatbot satisfaction on chatbot reuse intention and store reuse intention. Research design, data, and methodology: We reviewed the literature on domestic and international chatbots, established hypotheses, and analyzed them. We empirically analyzed the process model in which chatbot service quality (interaction quality, information quality) has a positive effect on chatbot trust and chatbot satisfaction, and that chatbot trust and satisfaction positively affect chatbot reuse intention and store reuse intention. A survey was conducted on 212 people who had used shopping mall chatbots and financial service chatbots after demonstrating the shopping mall chatbot video. Structural equation modeling was conducted by using AMOS 24.0 to test the proposed relationships. Results: As a result of the empirical analysis, the effects of interaction quality on chatbot trust and information quality on chatbot satisfaction were not supported, but the rest of the hypotheses were statistically significant. It was found that the information quality of chatbot service had a positive effect on chatbot trust, but did not significantly affect chatbot satisfaction. In addition, the interaction quality of the chatbot positively affects the satisfaction of the chatbot, but it does not significantly affect the trust of the chatbot. Chatbot trust was found to have a positive effect on chatbot satisfaction. Chatbot trust and chatbot satisfaction were found to have a positive influence on the intention to reuse the chatbot. And, chatbot trust and chatbot satisfaction were found to have a positive influence on store reuse intention. Conclusions: The findings of this study offer significant theoretical and managerial contributions in the context of chatbot. Chatbots should enhance customer contact quality management from the perspective of total customer experience management rather than partial function. When providing a chatbot service, it is more desirable to give priority to providing accurate information to increase trust, and at the same time to improve customer satisfaction by increasing the quality of interaction. And in order to increase the competitive advantage of companies, the purpose of introducing chatbots should be clarified and approached strategically.

참고문헌 (49)

  1. Anderson, J. C., "A model of distributor firm and manufacturer firm working partnerships", Journal of Marketing, 54(1), pp.42~58 (1990)
  2. Anderson, R. E., "E-satisfaction and eloyalty; A contingency framework", Psychology & Marketing, 20(2), pp.123~138 (2003)
  3. Bagozzi, R. P., "On the evaluation of structural equation models", Journal of the Academy of Marketing Science, 16(1), pp.74~94 (1988)
  4. Beatty, S. E., "Customer-sales associate retail relationships", Journal of Retailing, 72(3), pp.223~247 (1996)
  5. Berry, L. L., "Prescriptions for a service quality revolution in America", Organizational Dynamics, 20(4), pp.5~15 (1992)
  6. Biong, H., "The strategic role of the salesperson in established buyer-seller relationships", Journal of Business-to-Business Marketing, 3(3), pp.39~78 (1997)
  7. Bitner, M. J., "Building service relationships : It’s all about promises", Journal of the Academy of Marketing Science, 23(4), pp.246~251 (1995)
  8. Chattaraman, V., "Should AI-based, conversational digital assistants employ social-or task-oriented interaction style? A task-competency and reciprocity perspective for older adults", Computers in Human Behavior, 90, pp.315~330 (2019)
  9. Chattaraman, V., "Virtual agents in retail web sites : Benefits of simulated social interaction for older users", Computers in Human Behavior, 28(6), pp.2055~2066 (2012)
  10. Chung, M., "Chatbot eservice and customer satisfaction regarding luxury brands", Journal of Business Research, 117, pp.587~595 (2020)
  11. Cunningham, J. B., "Trust and the design of work complementary constructs in satisfaction and performance", Human Relations, 53(12), pp.1575~1591 (2000)
  12. Das, T. K., "Between trust and control : Developing confidence in partner cooperation in alliances", Academy of Management Review, 23(3), pp.491~512 (1998)
  13. DeLone, W. H., "Information systems success : The quest for the dependent variable", Information Systems Research, 3(1), pp.60~95 (1992)
  14. DeLone, W. H., "The DeLone and McLean model of information systems success : A ten-year update", Journal of Management Information Systems, 19(4), pp.9~30 (2003)
  15. Fernandes, T., "Understanding consumers’acceptance of automated technologies in service encounters : Drivers of digital voice assistants adoption", Journal of Business Research, 122, pp.180~191 (2021)
  16. Fornell, C., "Structural equation models with unobservable variables and measurement error : Algebra and statistics", Journal of Marketing Research, 18(3), pp.382~388 (1981)
  17. Go, E., "Humanizing chatbots : The effects of visual, identity and conversational cues on humanness perceptions", Computers in Human Behavior, 97, pp.304~316 (2019)
  18. Grönroos, C., "A service quality model and its marketing Implications", European Journal of Marketing, 18(4), pp.36~44 (1984)
  19. Hill, J., "Real conversations with artificial intelligence a comparison between humanhuman online conversations and human-chatbot conversations", Computers in Human Behavior, 49, pp.245~250 (2015)
  20. Hsu, M. H., "Determinants of repurchase intention in online group-buying : The perspectives of DeLone & McLean IS success model and trust", Computers in Human Behavior, 36, pp.234~245 (2014)
  21. 황영훈, "비이용자의 인공지능 스피커에 대한 태도와 행동의도에 영향을 미치는 요인 연구", 미디어 경제와 문화, 18(1), pp.31~71 (2020), (주)에스비에스[DOI]
  22. 정훈실, "패션 챗봇의 품질이 챗봇 신뢰 및 브랜드 신뢰에 미치는 영향", 복식, 69(3), pp.1~14 (2019), 한국복식학회[DOI]
  23. 진보래, "인간과 대화형 에이전트 간 관계 형성의 효과: 챗봇의 칭찬이나 비판에 사용자 친밀감이 미치는 영향", 한국HCI학회 논문지, 14(3), pp.13~20 (2019), 한국에이치씨아이학회[DOI]
  24. Kaplan, A., "Siri, Siri in my hand, Who is the fairest in the Land? On the interpretations, illustrations and implications of artificial intelligence", Business Horizons, 62(1), pp.15~25 (2019)
  25. Kaplan, A., "Rulers of the world, unite!The challenges and opportunities of artificial intelligence", Business Horizons, 63(1), pp.37~50 (2020)
  26. 김무성, "사용자 니즈 기반의 챗봇 개발 프로세스: 디자인 사고방법론을 중심으로", 지능정보연구, 25(3), pp.221~238 (2019), 한국지능정보시스템학회
  27. Kowalczuk, P., "Consumer acceptance of smart speakers : A mixed methods approach", Journal of Research in Interactive Marketing, 12(4), pp.418~431 (2018)
  28. Jungki Kwak, "챗봇의 특성, 서비스가치, 고객만족 간 관계 연구", 산경연구논집, 10(3), pp.45~58 (2019), 한국유통과학회
  29. 이민규, "챗봇 사용 의도에 영향을 미치는 요인 탐색 – 금융 서비스에서의 챗봇", 품질경영학회지, 47(4), pp.755~765 (2019), 한국품질경영학회[DOI]
  30. Lee, M., "A cost", benefit approach to understanding service loyalty, 2001, pp.15(2), 113~130
  31. Macintosh, G., "Retail relationships and store loyalty : A multi-level perspective", International Journal of Research in Marketing, 14(5), pp.487~497 (1997)
  32. "Chatbot market by component(solutions and services), usage(websites and contact centers), technology, deployment model, application (customer support and personal assistant), organization size, vertical, and region-global forecast to 2024" (2019)[URL]
  33. Mayer, R. C., "An integrative model of organizational trust", Academy of Management Review, 20(3), pp.709~734 (1995)
  34. McDougall, G. H. G., "Customer satisfaction with services : Putting perceived value into the equation", Journal of Services Marketing, 14(5), pp.392~410 (2000)
  35. McLean, G., "Hey Alexa. . . Examine the variables influencing the use of artificial intelligent inhome voice assistants", Computers in Human Behavior, 99, pp.28~37 (2019)
  36. Mimoun, M. S., "Animated conversational agents and e-consumer productivity : The roles of agents and individual characteristics", Information &Management, 54(5), pp.545~559 (2017)
  37. Moorman, C., "Factors affecting trust in market research relationships", Journal of Marketing, 57(1), pp.81~101 (1993)
  38. Oliver, R. L., "A cognitive model of the antecedents and consequences of satisfaction decisions", Journal of Marketing Research, 17(4), pp.460~469 (1980)
  39. Parasuraman, A., "SERVQUAL : A multiple-item scale for measuring consumer perceptions of service quality", Journal of Retailing, 64(1), pp.12~40 (1988)
  40. 박수아, "인공지능 스피커 만족도와 지속적 이용의도에 영향을 미치는 요인: 기능적, 정서적 요인을 중심으로", 정보사회와 미디어, 19(3), pp.159~182 (2018), 한국정보사회학회[DOI]
  41. Qiu, H., "Enhancing hospitality experience with service robots : The mediating role of rapport building", Journal of Hospitality Marketing & Management, 29(3), pp.247~268 (2020)
  42. Ribbink, D., "Comfort your online customer : Quality, trust and loyalty on the internet", Managing Service Quality : An International Journal, 14, pp.446~456 (2004)
  43. Rust, R. T., "Service Quality: New Directions in Theory and Practice", pp.1~19 (1994), Sage Publications
  44. Shankar, V., "Customer satisfaction and loyalty in online and offline environments", International Journal of Research in Marketing, 20(2), pp.153~175 (2003)
  45. Sirdeshmukh, D., "Consumer trust, value and loyalty in relational exchanges", Journal of Marketing, 66(1), pp.15~37 (2002)
  46. 서창적, "챗봇 상담의 인지 서비스 품질이 고객 만족과 긍정적 구전에 미치는 영향", 서비스경영학회지, 20(1), pp.201~222 (2019), 한국서비스경영학회[DOI]
  47. Toader, D-C, "The effect of social presence and chatbot errors on trust", Sustainability, 12(1), pp.256~ (2020)
  48. van Pinxteren, M., "Trust in humanoid robots : Implications for services marketing", Journal of Services Marketing, 33(4), pp.507~518 (2019)
  49. Zeithaml, V. A., "The behavioral consequences of service quality", Journal of Marketing, 60(2), pp.31~46 (1996)

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