한국경영과학회지 (Journal of the Korean Operations Research and Management Science Society)

  • 제34권4호
  • /
  • Pages.57-72
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  • 2009
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  • 1225-1119(pISSN)
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  • 2733-4759(eISSN)
한국경영과학회 (The Korean Operations Research and Management Science Society)
권호 표지

제품 네트워크 분석을 이용한 고객의 구매제품 특성 비교 연구

Product Network Analysis to Analyze the Purchase Behavior of Customers

  • 최일영 (경희대학교 경영대학/경영연구원) ;
  • 김재경 (경희대학교 경영대학/경영연구원)
  • 발행 : 2009.12.31
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초록

As development of information technologies, customer retention has been an important issue in the competing environment. A lot of researches focus on prediction of the churning customers and seeking their characteristics. However, relationships among customers or products have not been considered in existing researches. In this study, product networks are proposed and analyzed to investigate the differences of network characteristics of products purchased by potential churning customers and those of loyal customers. The product networks are constructed from real product purchase data collected from a Korean department store. We investigated the characteristic differences, such as the degree centrality, degree centralization, and density, of two product networks constructed by potential churning customers and the loyal customers. The results indicate that degree centrality, density and degree centralization of the product network of the loyal customers are higher than those of the potential churning customers. And the promotional products of the department store are resulted to be effective in attracting the loyal customers.

키워드

참고문헌

  1. 김용학, '사회연결망 분석', 박영사, 2003
  2. 김용학, '사회 연결망 이론', 박영사, 2003
  3. 손동원, '사회 네트워크 분석', 경문사, 2002
  4. 김상용, 송지연, 이기순, 'CRM 고객데이터 분석을 통한 이탈고객 연구', '한국마케팅 저널', 제7권, 제1호(2005). pp.21-42
  5. 김재경, 최일영, 김혜경, 김남희, '사회 네트워크 분석을 이용한 충성고객과 이탈고객의 구매 특성 비교 연구', '경영과학', 제26권, 제1호(2009). pp.183-196
  6. 이희연, 김홍주, '네트워크 분석을 통한 수도권의 공간구조 변화 1900-2000년', '국토계획', 제41권, 제1호(2006), pp.133-150
  7. 최창현, '조직의 비공식 연결망에 관한 연구 : 사회연결망 분석의 적용', '한국사회와 행정연구', 제17권, 제1호 (2006), pp.1-23
  8. Agrawal, R. and R. Srikant, Fast algorithms for mining association rules, In Proc, Int. Conf. Very Large Data Bases (VLDB '94), Santiago, Chile, (1994), pp.487-499
  9. Barnes, J., 'Class and committees in a Norwegian island parish,' Human Relations, Vol. 7(1954), pp.39-58 https://doi.org/10.1177/001872675400700102
  10. Berson, A., S. Smith, and K. Thearling, Building data mining applications for CRM, MeGraw-Hill, 2000
  11. Bonacich, P., 'Power and Centrality: A Family of Measures,' American Journal of Sociology, Vol.92(1987), pp.1170-1182 https://doi.org/10.1086/228631
  12. Kauffiman, S., The Origins of Order, Oxford University Press, Oxford, 1993
  13. Lawrence, R.D., G.S. Almasi, V. Kotlyar, M. S. Viveros, and S.S. Duri, 'Personalization of Supermarket Product Recommendation,' Data Mining and Knowledge Discovery, Vol.5, No. 1-2(2001), pp.11-32 https://doi.org/10.1023/A:1009835726774
  14. Ng, K. and H. Liu, 'Customer retention via data mining,' Artificial Intelligence Review, Vol.14, No.6(2000), pp.569-590 https://doi.org/10.1023/A:1006676015154
  15. Raghavan, N., R.M. Bell, and M. Schonlau, 'Defection Detection : Using Online Activity Profiles to Predict ISP Customer Vulnerability,' In Proceedings of the sixth International Conference of Knowledge Discovery and Data Mining(2000), pp.506-515 https://doi.org/10.1145/347090.347193
  16. Sarwar, B., G. Karypis, J.A. Konstan, and J. Riedl, 'Item_based collaborative filtering recommendation algorithm,' In Proceedings of The Tenth International World Wide Web Conference, (2001), pp.285-295
  17. Sarwar, B., G. Karypis, J.A. Konstan, and J. Riedl, 'Analysis of recommendation algorithms for e-commerce,' In Proceedings of ACM E-commerce 2000 conference, (2000), pp.158-167 https://doi.org/10.1145/352871.352887
  18. Sarwar, B., G. Karypis, J.A. Konstan, and J. Riedl, 'Application of Dimensionality Reduction in Recommender System-A case study,' In Proceedings of the ACM web KDD-2000 Workshop, 2000
  19. Song, H., J. Kim, Y. Cho, and S. Kim, 'A personalized defection detection and prevention procedure based on the self-organizing map and association rule mining : Applied to online game sit,' Artificial Intelligence Review, Vol.21, No.2(2004), pp.161-184 https://doi.org/10.1023/B:AIRE.0000021067.66616.b0
  20. Trubik, E. and M. Smith, 'Developing a model of customer defection in the Australian banking industry,' Managerial Auditing Journal, Vol.15, No.5(2000), pp.199-208 https://doi.org/10.1108/02686900010339300