پیش‌بینی رفتار مشتری در صنعت خرده‌فروشی کالاهای تند مصرف (مورد مطالعه: شرکت گلپخش اول)

برادران، وحید؛ بیگلری، محمد (1394). بخش‎بندی مشتریان صنایع تولید و پخش کالاهای پرگردش بر اساس مدل بهبود یافته RFM. فصلنامه مدیریت بازرگانی، 7(1)، 23-42.

برادران، وحید؛ فرخی، زهرا (1393). بخش‏بندی مشتریان در صنعت بانکداری با استفاده از مدل توسعه‌یافته RFMC. فصلنامه مدیریت برند، 2 (1)، 135-154.

کرامتی، عباس؛ خالقی، روشنک (1393). توسعه یک سیستم پیشنهاددهنده محصول طراحی مدلی ترکیبی با بهره‎گیری از روش‎های فیلترینگ مشارکت‎محور، کشف قوانی انجمنی، بخش‎بندی مشتریان. نشریه تخصصی مهندسی صنایع، 48(2)، 257 - 280.

References

Ali, Ö. G. (2013). Driver Moderator Method for Retail Sales Prediction. International Journal of Information Technology & Decision Making, 12(06), 1261–1286.

Allenby, G. M., Arora, N., & Ginter, J. L. (1998). On the heterogeneity of demand. JMR, Journal of Marketing Research, 35(3), 384-389.

Baradaran, V., Biglari, M. (2015). Customer Segmentation in FMCG Sector Based on Improved RFM. Business Management, 7(1), 23-42. (in Persian)

Chang, E. C., Cheng, J. W., & Yu, Y. (2007). Short‐sales constraints and price discovery: Evidence from the Hong Kong market. The Journal of Finance, 62(5), 2097-2121.

Chang, W., Park, J. E., & Chaiy, S. (2010). How does CRM technology transform into organizational performance? A mediating role of marketing capability. Journal of Business Research, 63(8), 849-855.

Chase, J., & Charles, W. (2013). Demand-driven forecasting: a structured approach to forecasting. John Wiley & Sons.

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(5), 241-251.

Chiang, W.Y. (2011). To mine association rules of customer values via a data mining procedure with improved model: An empirical case study. Expert Systems with Applications, 38(3), 1716-1722.

Cooper, L. G., Baron, P., Levy, W., Swisher, M., & Gogos, P. (1999). PromoCast™: A new forecasting method for promotion planning. Marketing Science, 18(3), 301-316.

Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms. MIT press.

Fildes, R., & Goodwin, P. (2007). Against your better judgment? How organizations can improve their use of management judgment in forecasting. Interfaces, 37(6), 570-576.

Hosseini, S. M. S., Maleki, A., & Gholamian, M. R. (2010). Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty. Expert Systems with Applications, 37(7), 5259-5264.

Hsieh, N. C. (2004). An integrated data mining and behavioral scoring model for analyzing bank customers. Expert systems with applications, 27(4), 623-633.

Keramati, A., & Khaleghi, R. (2014). Developing a SKU Recommendation System. Industrial Engineerng Journal, 48(2), 257-280. (in Persian)

King, S. F. (2007). Citizens as customers: Exploring the future of CRM in UK local government. Government Information Quarterly, 24(1), 47-63.

Kotler, P., Armstrong, G., Brown, L., & Adam, S. (2006). Marketing. Australia. Pearson Education Australia.

Li, S. T., Shue, L. Y., & Lee, S. F. (2008). Business intelligence approach to supporting strategy-making of ISP service management. Expert Systems with Applications, 35(3), 739-754.

Liu, D. R., & Shih, Y. Y. (2005). Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences. The Journal of Systems and Software, 77(2), 181-191.

Liu, D. R., & Shih, Y. Y. (2005). Integrating AHP and data mining for product recommendation based on customer lifetime value. Information & Management, 42(3), 387-400.

Liu, D.-R., Lai, C.H., & Lee, W.J. (2009). A hybrid of sequential rules and collaborative filtering for product recommendation. Information Sciences, 179(20),3505-3519.

Lundholm, R., McVay, S., & Randall, T. (2010). Forecasting Sales: A Model and Some Evidence from the Retail Industry. Unpublished working paper. University of British Columbia and University of Washington.

Ma, S., Fildes, R., & Huang, T. (2016). Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra-and inter-category promotional information. European Journal of Operational Research, 249(1), 245-257.

Marcus, C. (1998). A practical yet meaningful approach to customer segmentation. Journal of consumer marketing, 15(5), 494-504.

Sohrabi, B., & Khanlari, A. (2007). Customer Lifetime Value (CLV) Measurement Based on RFM Model. Iranian Accounting & Auditing Review, 14(47), 7-20.

Trapero, J. R., Fildes, R., & Davydenko, A. (2011). Nonlinear identification of judgmental forecasts effects at SKU level. Journal of Forecasting, 30(5), 490-508.

Trapero, J. R., Pedregal, D. J., Fildes, R., & Kourentzes, N. (2013). Analysis of judgmental adjustments in the presence of promotions. International Journal of Forecasting, 29(2), 234-243.

Wang, C. Y. (2010). Service quality, perceived value, corporate image, and customer loyalty in the context of varying levels of switching costs. Psychology & Marketing, 27(3), 252-262.

Wu, H. H., & Pan, W. R. (2009). An integrated approach of Kano model and ANOVA technique in market segmentation—a case of a coach company. Journal of Statistics and Management Systems, 12(4), 679-691.

Yeh, I. C., Yang, K. J., & Ting, T. M. (2009). Knowledge discovery on RFM model using Bernoulli sequence. Expert Systems with Applications, 36(3), 5866-5871.