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Leveraging Accumulated Customer Knowledge in Electronic Knowledge Repositories for Superior Customer Service

  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 바로가기
  • 권호(발행년)
    제25권 제3호 (2015.09) 바로가기
  • 페이지
    pp.519-539
  • 저자
    Sujeong Choi, Il Ryu
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A254176

원문정보

초록

영어
Customers are now demanding ever better service from customer service representatives (CSRs) to create superior customer service. Accordingly, CSRs are required to have more specialized knowledge and abilities of customer service. This study examines the roles of accumulated customer knowledge in electronic knowledge repositories (EKRs), which a firm has developed for customer service over time to enhance CSRs’ work capabilities and work performance, in the context of call centers. To test the proposed research model and hypotheses, we conducted LISREL analysis using 261 responses collected on CSRs working for inbound call centers. The key results are as follows. First, accumulated customer knowledge in EKRs enhances CSRs’ knowledge utilization and service expertise during the customer contact. Second, CSRs’ knowledge utilization reinforces service expertise. Finally, service quality depends on CSRs’ knowledge utilization and service expertise, but it is not directly related to accumulated customer knowledge. Overall, the findings suggest that accumulated customer knowledge in EKRs enhances CSRs’ knowledge utilization and service expertise, and thereby leading to superior service quality.

목차

ABSTRACT
 Ⅰ. Introduction
 Ⅱ. Theoretical Background
  2.1. Organizational Memory
  2.2. Knowledge Utilization
  2.3. Service Expertise and Service Quality
 Ⅲ. Research Framework and Hypotheses
  3.1. Research Framework
  3.2. The Roles of Accumulated Customer Knowledge
  3.3. Knowledge Utilization and Service Expertise
  3.4. Knowledge Utilization and Service Quality
  3.5. Service Expertise and Service Quality
 Ⅳ. Methodology
  4.1. Sample and Non-Response Bias
  4.2 Measures
  4.3 Measurement Model Assessment and Common Method Variance
  4.4 Assessment of Research Model and Hypotheses
 Ⅴ. Discussion and Implications
 Ⅵ. Limitations and Future Research
 Ⅶ. Conclusion
 

저자

  • Sujeong Choi [ Research Professor, Free21Plus e-Service Team, Chonnam National University, Korea ]
  • Il Ryu [ Professor, Sunchon National University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      Asia Pacific Journal of Information Systems
    • 간기
      계간
    • pISSN
      2288-5404
    • eISSN
      2288-6818
    • 수록기간
      1990~2026
    • 등재여부
      KCI 등재,SCOPUS
    • 십진분류
      KDC 325 DDC 658