Uneingeschränkter Zugang

Research on the construction of early warning model of customer churn on e-commerce platform

   | 30. Aug. 2022

Zitieren

Yu Xiaobing, Cao Jie, Zhang Mengnan. Research on the cause evaluation of B2C e-commerce customer churn [J]. Fuzzy Systems and Mathematics, 2012, 12:167–171 (in Chinese). Search in Google Scholar

Zhang Cuiping. How to strengthen enterprise management to reduce customer churn modern economic information, Journal of Enterprise Reform and Management, 2016, 7:80–81 (in Chinese). Search in Google Scholar

Tzeng G H, Lin C S. Combined rough set theory and flow network graph to predict customer churn in credit card accounts [J]. Expert Systems with Applications, 2010, 38(1):8–15. Search in Google Scholar

Ngai EW T, Li Xiu. Customer churn prediction using improved balanced random forests [J]. Expert Systems with Applications, 2011, 36(3):5445–5449. Search in Google Scholar

Zhang Weidong, Li Yuan. Early warning analysis of telecom user churn based on algorithm [J]. Journal of Yibin University, 2014, 14(6):119–122 (in Chinese). Search in Google Scholar

Fu Jie, Fang Fang, Yan Kewen. Research on prediction and retention of customer churn in communication industry based on logistic regression [J]. Journal of Ezhou University, 2015, 2(6):110–112 (in Chinese). Search in Google Scholar

Zhang Qiuju, Zhu Bangzhu. E-commerce customer churn prediction model based on self-organizing data mining [J]. Business Strategy, 2011, 01:95–99 (in Chinese). Search in Google Scholar

Kuanchin Chen, Ya-Han Hu, Yi-Cheng Hsieh. Predicting customer churn from valuable B2B customers in the logistics industry: a case study [J]. Information Systems and e-Business Management, 2014, 10:476–494. Search in Google Scholar

Ren Jianfeng, Zhang Xinxiang. Modeling and prediction of customer churn in e-commerce [J]. Computer Simulation, 2012, 5:363–366 (in Chinese). Search in Google Scholar

Hadden J. Linking service quality, customer satisfaction and behavioral intention [J]. Journal of Health Care Marketing, 2007(9):5–17. Search in Google Scholar

Yu Xiaobing, Wang Xuming. Analysis of the factors affecting e-commerce customer churn [J]. Practice and Understanding of Mathematics, 2014, 11:1–5 (in Chinese). Search in Google Scholar

Ren Jianfeng, Zhang Xinxiang. Modeling and forecasting of customer churn in e-commerce [J]. Computer Simulation. 2012, 5:363–366 (in Chinese). Search in Google Scholar

Dai Yisheng, Shen Peilan, Sun Hongxia. Research on customer churn prediction of e-commerce websites based on Pareto/NBD model [J]. Science, Technology and Engineering, 2010, 9:6792–6795 (in Chinese). Search in Google Scholar

Hwang H, Jung T, Suh E. An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry [J]. Expert Systems with Applications, 2004, 26(2):181–188. Search in Google Scholar

Chen Mingliang. Customer loyalty and customer relationship life cycle [J]. Journal of Management Engineering, 2003, 2:90–93 (in Chinese). Search in Google Scholar

Glady N, Baesens B, Croux C. Modeling churn using customer lifetime value [J]. European Journal of Operational Research, 2009, 197(1):402–411. Search in Google Scholar

Wang Zhijun. Research on early warning of customer churn based on neural network [D]. Changchun: Jilin University, January 2013 (in Chinese). Search in Google Scholar

Manoj Kuma. Trust and e-commerce: a study of consumer perceptions [J]. Electronic Commerce Research and Applications, 2009(2):203–215. Search in Google Scholar

Chen Mengyin. Comprehensive evaluation of quality based on principal component analysis and cluster analysis [J]. Food Science. 2016, 9:72–75 (in Chinese). Search in Google Scholar

eISSN:
2444-8656
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Biologie, andere, Mathematik, Angewandte Mathematik, Allgemeines, Physik