بخش‌بندی مشتریان صنایع تولید و پخش کالاهای پرگردش بر اساس مدل بهبود‌یافته RFM (مطالعه موردی: شرکت گلستان)

Ahmadi, P., Azar, A. & Samsami, F. (2011). Drug market segmentation with neural networks approach (Case Study: Drug market in Iran). Quarterly Journal Business Management, 2(6): 1-10. (In Persian)

 

Allahyari Soeini, R. & Fathalizadeh, E. (2012). Customer segmentation based on modified RFM model in insurance industry. International Journal of Modeling and Optimization, 25: 101-104.

 

Amin-Nasseri, M. R. & Baradaran, V. (2008). Development of travel time forecasting models in public transportation systems (Case Study: Tehran bus transportation system). Transportation Reaaerch Journal, 6(3): 219-232. (In Persian)

 

Berson, A., Smith, S. & Thearling, K. (2000). Building data mining application for CRM, McGraw-Hill.

 

Buckinx, W. & Van Den Poel, D. (2005). Customer base analysis: Partial defection of behaviorally loyal clients in a non-contractual FMCG retail setting. European Journal of Operational Research, 164: 252-268.

 

Chang, E. C., Huang, S. C. & Wu, H. H. (2010). Using K-means method and spectral clustering technique in an outfitter’s value analysis. Quality and Quantity, 44(4): 807-815.

 

Chang, H-C. & Tsai, H-P. (2011). Group RFM analysis as a novel framework to discover better customer consumption behavior. Expert Systems with Applications, 38(12): 14499–14513.

 

Chapman, P., Clinton, J. & Kerber, R. (2000). CRISP-DM 1.0 Step-by-step data mining guide, 1, SPSS. USA.

 

Chen, Y-L., Kuo, M-H., Wu, S-Y. & Tang, K. (2009). Discovering recency, frequency and monetary (RFM) sequential patterns from customers’ purchasing data. Electronic Commerce Research and Applications, 8:
241-251.

 

Christodoulakis, D. & Aggelis, V. (2009). Customer clustering using RFM analysis. Expert System With Applications, 36: 2678-2685.

 

Coussement, K. & Poel, D.V. (2008). Improving customer attrition prediction by integrating emotions from client / compnay interaction emails and evaluating mutiple clasifiers. Expert System with Applications, 36: 6127-6134.

 

Dash, P. & Mishra, S. (2010). Developing RFM model for customer segmentation in retail industry. International Journal of Marketing & Human Resource Management, 1:58-69.

 

Dehdashti Shahrokh, Z. & Pourhosseini, A.R. (2013). A model to investigate the impact of sales and marketing strategy on sales performance. Quarterly Journal Business Management, 5(1): 61-84. (In Prsian)

 

Fader, P. S., Hardie, B. G. S. & Lee, K. L. (2005). RFM and CLV: Using ISO-value curves to customer base analysis. Marketing Research, 42: 415-430.

 

Ghazanfari, M., Alizadeh S., Malekmohammadi, S. & Fathollah, M. (2009). Segmentation of export’s customer edible fruits. Iranian Journal of Trade Studies (IJTS), 55:151-181. (In Persian)

 

Hassangholipour, T., Miri, S. M. & Morovati Sharifabadi, A. (2007). Market segmentation by using artificial neural networks, Case Study: Meat products (Sausages). Quarterly Journal of Human Sciences MODARES (Management Special Issue), 55(11):57-80. (In Persian)

 

Hsieh, N. C. (2004). An integrated data mining and behavioral acoring model for analyzing bank customers. Expert System with Applications, 27: 623-633.

 

Hu, Y-H. & Yeh, T-W. (2014). Discovering valuable frequent patterns based on RFM analysis without customer identification information. Knowledge-Based Systems, 61: 76-88.

 

Hung, C. & Tsai, C. (2008). Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand. Expert System with Applications, 34(1): 780-787.

 

King, S. F. (2007). Citizens as customers: Exploring the future of CRM in UK local government. Government Information Quarterly, 24: 47-63.

 

Li, D-C., Dai, W-L. & Tseng, W-T. (2011). A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business. Expert Systems with Applications, 38(6): 7186–7191.

 

Li, S. T., Shue, L. Y. & Lee, S. F. (2008). Business intelligence approach to supportng strategy-making of ISP service management. Expert System with Applications, 35: 739-754.

 

Li, YM., Lin, CH. & Lai, C. Y. (2010). Identifying influential reviewers for word-of-mouth marketing. Electronic Commerce Research and Applications, 9 (4): 294-304.

 

Marcus, C. (1998). A practical yet meaningful approach to customer segmentation. Journal of Consumer Marketing, 15: 494-504.

 

Mollahosseini, A. & Alimirzaee, Gh. (2011). Segmenting customers of Iran Khodro and Saipa groups in Kerman. Quarterly Journal of Business Management, 2(6): 135–146. (In Persian)

 

Momeni, M. (2011). Data Segmentation (Clustering Analysis), Foroozesh press. Tehran. (In Persian)

 

Mortazavi, S., Asseman-Darreh, Y., Najafi Siahroodi, M. & Alavi, M. (2011). Mobile handset market segmentation based on the expected customer benefits. Quarterly Journal of Business Management, 3(8): 115–132. (In Persian)

 

Namvar, M., Gholamian M. R. & Khakabi, S. (2010). A two phase clustering method for intelligent customer segmentation. Intelligent System, Modelling and Simulation, IEEE. (In Persian)

 

Rygielski, C., Wang, J-C. & Yen, D. C. (2002). Data mining techniques for customer relationship management. Technology in Society, 24: 483–502.

 

Samizadeh, R. (2007). Data Mining and Customer Relashenship Management, Roshd Andisheh Press. Tehran. (In Persian)

 

Seyyed Hashemi, M. R. & Mamdouhi, A. R. (2009). Cluster analysis of the barriers to the implementation of marketing strategies in the automobile industry (Case Study: Iran Khodro Company), Quarterly Journal of Business Management, 2(6): 156–186. (In Persian)

 

Seyed Hosseini, M., Maleki, A. & Gholamian, M. R. (2010). Cluster analysis using data mining approach to develop CRM methodology to asses the customer loyalty. Expert System With Applications, 37: 5259-5264. (In Persian)

 

Sohrabi, B. & Khanlari, A. (2007). Customer lifetime value (CLV) measurement based on RFM Model. Iranian Accounting & Auditing Review, 14: 7-20. (In Persian)

 

Tsiptsis, K. & Chorianopoulos A. (2010). Data Mining Techniques in CRM: Inside Customer Segmentation. WILEY. United Kingdom.

 

Wang, Y., Ma, X., Lao, Y. & Wang, Y. (2014). A fuzzy-based customer clustering approach with hierarchical structure for logistics network optimization. Expert Systems with Applications, 41(2): 521–534.

 

Wei, J., Lee, M. & Chen, H. (2013). Customer relationship management in the hairdressing industry: An application of data mining techniques. Expert System with Application, 40: 7513-7518.

 

Wei, J., Lin, Sh., & Weng, Ch. (2012). A case study of applying LRFM model in market segmentation of a children’s dental clinic. Expert Systems with Applications, 39: 5529-5533.

 

Wei, J.-T., Lin, S.-Y. & Wu, H. H. (2010). A review of the application of RFM model. African Journal of Business Management, 4: 4199-4206.

 

Yeh, I. C. Yang, K. J. & Ting, T. M. (2008). Knowledge discovery on RFM model using Bernoulli sequence. Expert System With Applications,36: 5866-5871.