• 제목/요약/키워드: Push-Poor-Mooring Model

검색결과 1건 처리시간 0.014초

컨택센터 중심에서 인공지능 챗봇 중심 고객 서비스로의 사용자 전환의도에 관한 연구 (A Study on User Switching Intention from Contact Center-oriented to AI Chatbot-Oriented Customer Services)

  • 안승규;안현철
    • 디지털산업정보학회논문지
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    • 제19권1호
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    • pp.57-76
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    • 2023
  • This study analyzes the factors and effects on the users' intention to switch from contact center-oriented to AI chatbot-oriented customer services by combining Push-Pull-Mooring Model and provides insights for companies considering the adoption of AI chatbots. To test the model, we surveyed users with experience using chatbots at least once across different age groups. Finally, we analyzed 176 cases for the analysis using IBM SPSS Statistics and SmartPLS 4.0. The results of hypotheses testing rejected the hypotheses for variables of inconsistent quality and low availability of push factors and low switching cost of mooring factor while accepting the hypotheses for the tardy response of push factors and all pull factors. Therefore, these findings provide important implications for researchers and practitioners who wish to conduct research or adopt AI chatbots. In conclusion, users do not feel inconvenienced by the contact center-oriented service but also perceive high trust and convenience with AI chatbot-oriented service. However, despite low switching costs, users consider chatbots a complementary tool rather than an alternative. So, companies adopting AI chatbots should consider what features the users expect from AI chatbots and facilitate these features when implementing AI chatbots.