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題名:無線電信服務業顧客保留之資源配置策略: 顧客終身價值觀點
作者:吳慧玲
作者(外文):Wu, Hui-Ling
校院名稱:國立交通大學
系所名稱:經營管理研究所
指導教授:丁承
唐瓔璋
學位類別:博士
出版日期:2013
主題關鍵詞:顧客流失顧客保留顧客終身價值存活分析無線電信服務Customer ChurnCustomer Lifetime ValueSurvival AnalysisWireless Telecommunication Service
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顧客保留對於企業的存活具有關鍵的影響,特別是對於成熟且高度競爭的無線電信服務業而言。儘管顧客被企業視為重要的資產,但並非每一位具有流失風險的顧客都是值得被挽留的,將企業有限的資源投注於保留高價值的顧客更具優先性。本研究發展有系統的顧客挽留之資源分配策略。透過顧客價值辨析和風險偵測所建構的價值風險矩陣,可以將顧客分為高價值高流失風險、高價值低流失風險、低價值高流失風險、低價值低流失風險四群。針對每一顧客群進行整合性分析,了解顧客屬性特質與組成,同時,萃取各族群間影響顧客關係期間的重要因素。植基顧客特質與重要因素,提供不同顧客群體實用的資源配置策略。這些策略可以協助無線電信服務業管理顧客資產。本研究運用美國電信企業資料庫,作為本研究所提出的資源配置策略的舉例說明。
Retaining customers is crucial for the long-term survival of companies. This is especially true in a mature and highly competitive field such as the wireless telecommunication industry. While customers have been recognized as important assets to a company, not every churner is worth being retained; preventing customers with high values from defecting may be more valuable than retaining every churner. This study develops resource allocation approach that companies can use to maximize customer retention. The value-risk matrix was constructed that classifies customers into four groups based on their lifetime value to the company and their overall survival probability. For each group, the study performs a profile analysis aimed at determining the primary factors affecting customer contract duration, and recommends unique resource allocation strategies appropriate for a particular group’s lifetime value and churn risk. The strategy provided can help a wireless telecommunication company assess its customer asset. The study illustrates resource allocation strategy using data from a major wireless carrier in the United States, and offers several managerial implications based on the results of analysis.
Abbasimehr, H., Setak, M., &; Soroor, J. (2013). A framework for identification of high-value customers by including social network based variables for churn prediction using neuro-fuzzy techniques. International Journal of Production Research, 51(4), 1279-1294.
Ahn, J. H., Han, S. P., &; Lee, Y. S. (2006). Customer churn analysis: churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry. Telecommunications Policy, 30(10-11), 552-568.
Albadvi, A., &; Koosha, H. (2011). A robust optimization approach to allocation of marketing budgets. Management Decision, 49(3-4), 601-621.
Ali, J. F., Ali, I., Rehman, K. U., Yilmaz, A. K., Safwan, N., &; Afzal, H. (2010). Determinants of consumer retention in cellular industry of Pakistan. African Journal of Business Management, 4(12), 2402-2408.
Allenby, G. M., Leone, R. P., &; Jen, L. C. (1999). A dynamic model of purchase timing with application to direct marketing. Journal of the American Statistical Association, 94(446), 365-374.
Bang, H., &; Tsiatis, A. A. (2000). Estimating medical costs with censored data. Biometrika, 87(2), 329-343.
Becker, J. U., Greve, G., &; Albers, S. (2009). The impact of technological and organizational implementation of CRM on customer acquisition, maintenance, and retention. International Journal of Research in Marketing, 26(3), 207-215.
Berger, P. D., &; Nasr, N. I. (1998). Customer lifetime value: marketing models and applications. Journal of Interactive Marketing, 12(1), 17-30.
Berson, S. S., &; Thearling, K. (2000). Data mining: Build data mining application for CRM. New York: McGraw-Hill Inc.
Blattberg, R. C., &; Deighton, J. (1996). Manage marketing by the customer equity test. Harvard Business Review, 74(4), 136-144.
Bolton, R. N. (1998). A dynamic model of the duration of the customer's relationship with a continuous service provider: The role of satisfaction. Marketing Science, 17(1), 45-65.
Bolton, R. N., Kannan, P. K., &; Bramlett, M. D. (2000). Implications of loyalty program membership and service experiences for customer retention and value. Journal of the Academy of Marketing Science, 28(1), 95-108.
Bose, I., &; Chen, X. (2009). Hybrid models using unsupervised clustering for prediction of customer churn. Journal of Organizational Computing and Electronic Commerce, 19(2), 133-151.
Braun, M., &; Schweidel, D. A. (2011). Modeling customer lifetimes with multiple causes of Churn. Marketing Science, 30(5), 881-902.
Chen, C. F., &; Cheng, L. T. (2012). A study on mobile phone service loyalty in Taiwan. Total Quality Management &; Business Excellence, 23(7-8), 807-819.
Chen, Z. Y., Fan, Z. P., &; Sun, M. H. (2012). A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data. European Journal of Operational Research, 223(2), 461-472.
Chu, B. H., Tsai, M. S., &; Ho, C. S. (2007). Toward a hybrid data mining model for customer retention. Knowledge-Based Systems, 20(8), 703-718.
Collett, D. (1994). Modelling Survival Data in Medical Research
London: Chapman and Hall.
Cook, R. D., &; Lee, H. (1999). Dimension reduction in binary response regression. Journal of the American Statistical Association, 94(448), 1187-1200.
Cox, D. R. . (1972). Regression models and life tables. Journal of the Royal Statistical Society, Series B, 24, 187-220.
Dierkes, T., Bichler, M., &; Krishnan, R. (2011). Estimating the effect of word of mouth on churn and cross-buying in the mobile phone market with Markov logic networks. Decision Support Systems, 51(3), 361-371.
Dwye, F. R. (1989). Customer lifetime valuation to support marketing decision making. Journal of Direct Marketing, 8(2), 73-81.
Dwyer, F.R. (1997). Customer lifetime valuation to support making decision making. Journal of Direct Marketing, 11(4), 6-13.
Eggleston, C. H. (1999). Hook your customers. Wireless Review, 16(5), 18-22.
Eshghi, A., Haughton, D., &; Topi, H. (2007). Determinants of customer loyalty in the wireless telecommunications industry. Telecommunications Policy, 31(2), 93-106.
Fader, P. S., &; Hardie, B. G. S. (2007). How to project customer retention. Journal of Interactive Marketing, 21(1), 76-90.
Fader, P. S., &; Hardie, B. G. S. (2010). Customer-base valuation in a contractual setting: the perils of ignoring heterogeneity. Marketing Science, 29(1), 85-93.
Fader, P. S., Hardie, B. G. S., &; Huang, C. Y. (2004). A dynamic changepoint model for new product sales forecasting. Marketing Science, 23(1), 50-65.
Fader, P. S., Hardie, B. G. S., &; Lee, K. L. (2005). "Counting your customers" the easy way: An alternative to the Pareto/NBD model. Marketing Science, 24(2), 275-284.
Gerpott, T. J., Rams, W., &; Schindler, A. (2001). Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market. Telecommunications Policy, 25(4), 249-269.
Gupta, S., &; Lehman, D. R. (2003). Customers as assets. Journal of Intercative Marketing, 17(1), 9-24.
Gupta, S., Lehmann, D. R., &; Stuart, J. A. (2004). Valuing customers. Journal of Marketing Research, 41(1), 7-18.
Gupta, S., &; Zeithaml, V. (2006). Customer metrics and their impact on financial performance. Marketing Science, 25(6), 718-739.
Hardie, B. G. S., Fader, P. S., &; Wisniewski, M. (1998). An empirical comparison of new product trial forecasting models. Journal of Forecasting, 17(3-4), 209-229.
Hogan, J. E., Lemon, K. N., &; Rust, R. T. . (2002). Customer equity management: charting new directions for the future of marketing. . Journal of Service Research, 5(1), 4-12.
Huang, Y. J., &; Louis, T. A. (1998). Nonparametric estimation of the joint distribution of survival time and mark variables. Biometrika, 85(4), 785-798.
Hur, W. M., Park, J., &; Kim, M. (2010). The role of commitment on the customer benefits-loyalty relationship in mobile service industry. Service Industries Journal, 30(14), 2293-2309.
Iyengar, R., Jedidi, K., Essegaier, S., &; Danaher, P. J. (2011). The Impact of Tariff Structure on Customer Retention, Usage, and Profitability of Access Services. Marketing Science, 30(5), 820-836.
Jain, D., &; Singh, S. S. (2002). Customer lifetime value research in marketing: a review and further directions. Journal of Interactive Marketing, 16(2), 34-46.
Jamal, Z., &; Bucklin, R. E. (2006). Improving the diagnosis and prediction of customer churn: A heterogeneous hazard modeling approach. Journal of Interactive Marketing, 20(3/4), 16-29.
Jeng, D. J. F., &; Bailey, T. (2012). Assessing customer retention strategies in mobile telecommunications Hybrid MCDM approach. Management Decision, 50(9), 1570-1595.
Jerath, K., Fader, P. S., &; Hardie, B. G. S. (2011). New perspectives on customer "death" using a generalization of the pareto/NBD Model. Marketing Science, 30(5), 866-880.
Kaplan, E. L., &; Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53, 457-481.
Keramati, A., &; Ardabili, S. M. S. (2011). Churn analysis for an Iranian mobile operator. Telecommunications Policy, 35(4), 344-356.
Kim, M. S., &; Choi, M. (2011). Sources of the customer switching in the Korean mobile telecommunications market: transitions from second to third generation service. Information-an International Interdisciplinary Journal, 14(4), 1121-1136.
Klein, J. P., &; Moeschberger, M. L. (2003). Survival analysis, technique for censored and truncated data (2nd ed.). New York: Springer.
Kleinbaum, D.G. (1996). Survival analysis: a self-learning text: Springer.
Kumar, V., Pozza, I. D., Petersen, J. A., &; Shah, D. (2009). Reversing the logic: The path to profitability through relationship marketing. Journal of Interactive Marketing, 23(2), 147-156.
Kumar, V., Ramani, G., &; Bohling, T. (2004). Customer Lifetime Value Approaches and Best Practice Applications. Journal of Interactive Marketing, 18(3), 60-72.
Kumar, V., Shah, D., &; Venkatesan, R. (2006). Managing retailer profitability - one customer at a time! Journal of Retailing, 82(4), 277-294.
Kumar, V., Venkatesan, R., Bohling, T., &; Beckmann, D. (2008). Practice prize report - The power of CLV: Managing customer lifetime value at IBM. Marketing Science, 27(4), 585-599.
Lawless, J.F. (2003). Statistical models and methods for lifetime data (2nd ed.). New York: John Wiley and Sons.
Lee, E. T., &; Wang, J. W. (2003). Statistical methods for survival data analysis (3rd ed.). New York: John Wiley and Sons.
Lee, H., Lee, Y., Cho, H., Im, K., &; Kim, Y. S. (2011). Mining churning behaviors and developing retention strategies based on a partial least squares (PLS) model. Decision Support Systems, 52(1), 207-216.
Lemmens, A., &; Croux, C. (2006). Bagging and boosting classification trees to predict churn. Journal of Marketing Research, 43(2), 276-286.
Lewis, M. (2005). Incorporating strategic consumer behavior into customer valuation. Journal of Marketing, 69(4), 230-238.
Li, Shaomin. (1995). Survival analysis. Marking Research, 7(Fall), 17-23.
Livne, G., Simpson, A., &; Talmor, E. (2011). Do customer acquisition cost, retention and usage matter to firm performance and valuation? Journal of Business Finance &; Accounting, 38(3-4), 334-363.
Lu, J. (2003). Modeling customer lifetime value using survival analysis - an application in the telecommunications industry. Proceedings of the 28th Annual SAS Users Group International Conference, Cary, NC, 120-128. from www2.sas.com/proceedings/sugi28/120-28.pdf‎
Morrison, D. G., &; Schmittlein, D. C. (1980). Jobs, strikes, and wars: probability models for duration. Organizational Behavior and Human Performance, 25, 224-251.
Neslin, S. A., Gupta, S., Kamakura, W., Lu, J. X., &; Mason, C. H. (2006). Defection detection: measuring and understanding the predictive accuracy of customer churn models. Journal of Marketing Research, 43(2), 204-211.
Nitzan, I., &; Libai, B. (2011). Social effects on customer retention. Journal of Marketing, 75(6), 24-38.
Pfeifer, P.E., &; Bangm, H. . (2005). Non-parametric estimation of mean customer lifetime value. Journal of Interactive Marketing, 19(4), 48-66.
Pfeifer, P.E., &; Carraway, R.L. (2000). Modeling customer relationships using Markov chains. Journal of Interactive Marketing, 14(2), 43-55.
Pfeifer, P.E., Haskins, M.E. , &; Conroy, R.M. (2005). Customer lifetime value, customer profitability and the treatment of acquisition spending. Journal of Managerial Issues, 17(1), 11-25.
Polo, Y., Sese, F. J., &; Verhoef, P. C. (2011). The effect of pricing and advertising on customer retention in a liberalizing market. Journal of Interactive Marketing, 25(4), 201-214.
Qi, J. Y., Zhang, L., Liu, Y. P., Li, L., Zhou, Y. P., Shen, Y., . . . Li, H. Z. (2009). ADTreesLogit model for customer churn prediction. Annals of Operations Research, 168(1), 247-265.
Reichheld, F. F. (1996). Learning from customer defections. Harvard Business Review, 74(2), 56-69.
Reichheld, F. F., &; Sasser, W. E. (1990). Zwro deffections-quality comes to services. Harvard Business Review, 68(5), 105-111.
Reinartz, W. J., &; Kumar, V. (2000). On the profitability of long-life customers in a noncontractual setting: An empirical investigation and implications for marketing. Journal of Marketing, 64(4), 17-35.
Reinartz, W. J., &; Kumar, V. (2003). The impact of customer relationship characteristics on profitable lifetime duration. Journal of Marketing, 67(1), 77-99.
Reinartz, W., Thomas, J. S., &; Kumar, V. (2005). Balancing acquisition and retention resources to maximize customer profitability. Journal of Marketing, 69(1), 63-79.
Roberts-Lombard, M. (2011). Customer retention through customer relationship management: The exploration of two-way communication and conflict handling. African Journal of Business Management, 5(9), 3487-3496.
Rust, R. T., Lemon, K. N., &; Zeithaml, V. A. (2004). Return on marketing: Using customer equity to focus marketing strategy. Journal of Marketing, 68(1), 109-127.
Scherer, L. J., &; Toaldo, A. M. M. (2011). A Study of Consumer Behavior Towards the Retention Strategies of the Four Largest Mobile Phone Operators in Brazil. Rbgn-Revista Brasileira De Gestao De Negocios, 13(40), 243-263.
Schmittlein, David C., Morrison, Donald G. , &; Colombo, Richard (1987). Counting your customers: who are they and what will they do next? . Management Science, 33(1).
Schweidel, D. A., Fader, P. S., &; Bradlow, E. T. (2008). Understanding service retention within and across cohorts using limited information. Journal of Marketing, 72(1), 82-94.
Seetharaman, P. B., &; Chintagunta, P. K. (2003). The proportional hazard model for purchase timing: A comparison of alternative specifications. Journal of Business &; Economic Statistics, 21(3), 368-382.
Seo, D., Ranganathan, C., &; Babad, Y. (2008). Two-level model of customer retention in the US mobile telecommunications service market. Telecommunications Policy, 32(3-4), 182-196.
Shaffer, G., &; Zhang, Z. J. (2002). Competitive one-to-one promotions. Management Science, 48(9), 1143-1160.
Simester, D. I., Sun, P., &; Tsitsiklis, J. N. (2006). Dynamic catalog mailing policies. Management Science, 52(5), 683-696.
Sohn, S. Y., &; Lee, J. K. (2008). Competing risk model for mobile phone service. Technological Forecasting and Social Change, 75(9), 1416-1422.
Srinuan, P., Bohlin, E., &; Madden, G. (2012). The determinants of mobile subscriber retention in Sweden. Applied Economics Letters, 19(5), 453-457.
Stahl, F., Heitmann, M., Lehmann, D. R., &; Neslin, S. A. (2012). The Impact of Brand Equity on Customer Acquisition, Retention, and Profit Margin. Journal of Marketing, 76(4), 44-63.
Tableman, M., &; Kim, J. S. (2003). Survival analysis using S: analysis of time-to-event data. New York: Chapman and Hall.
Thomas, J. S., Blattberg, R. C., &; Fox, E. J. (2004). Recapturing lost customers. Journal of Marketing Research, 41(1), 31-45.
Tirenni, G., Labbi, A., Berrospi, C., Elisseeff, A., Bhose, T., Pauro, K., &; Poeyhoenen, S. (2007). Customer equity and lifetime management (CELM) finnair case study. Marketing Science, 26(4), 553-565.
Towler, A., Lezotte, D. V., &; Burke, M. J. (2011). The service climate-firm performance chain: the role of customer retention. Human Resource Management, 50(3), 391-406.
Tsao, H. Y. (2013). Budget allocation for customer acquisition and retention while balancing market share growth and customer equity. Marketing Letters, 24(1), 1-11.
Tsao, H. Y., Lin, P. C., Pitt, L., &; Campbell, C. (2009). The impact of loyalty and promotion effects on retention rate. Journal of the Operational Research Society, 60(5), 646-651.
van Triest, S., Bun, M. J. G., van Raaij, E. M., &; Vernooij, M. J. A. (2009). The impact of customer-specific marketing expenses on customer retention and customer profitability. Marketing Letters, 20(2), 125-138.
Venkatesan, R., &; Kumar, V. (2004). A customer lifetime value framework for customer selection and resource allocation strategy. Journal of Marketing, 68(4), 106-125.
Verbeke, W., Dejaeger, K., Martens, D., Hur, J., &; Baesens, B. (2012). New insights into churn prediction in the telecommunication sector: A profit driven data mining approach. European Journal of Operational Research, 218(1), 211-229.
Verhoef, P. C., &; Lemon, K. N. (2013). Successful customer value management: Key lessons and emerging trends. European Management Journal, 31(1), 1-15.
Wong, K. K. K. (2010). Should wireless carriers protect residential voice subscribers from high overage and underage charges? Insights from the Canadian telecommunications market. Telecommunications Policy, 34(8), 461-481.
Zhang, X. H., Zhu, J., Xu, S. H., &; Wan, Y. (2012). Predicting customer churn through interpersonal influence. Knowledge-Based Systems, 28, 97-104.
Zhao, H. W., &; Tian, L. L. (2001). On estimating medical cost and incremental cost-effectiveness ratios with censored data. Biometrics, 57(4), 1002-1008.
Zhu, C., Qi, J., &; Wang, C. (2009). An experimental study on four models of customer churn prediction 2009 IEEE International Conference on Systems Man and Cybernetics Conference Proceedings (pp. 3199-3204).



 
 
 
 
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