Results 101 to 110 of about 8,319 (166)

Using ensemble learning and explainable AI to predict bank marketing customer subscription. [PDF]

Sci Rep
Wang W, Liu Q, Li S, Feng H.
europepmc   +1 more source

Customer churn prediction in privacy-preserving HashCode-based security abstractions. [PDF]

Sci Rep
Munshi A.
europepmc   +1 more source

The value management cycle as a sustainable HRM framework: insights from Chinese Huawei's practices of value creation, evaluation, and distribution. [PDF]

Front Psychol
Liang R.
europepmc   +1 more source

Shopping Environment Stimuli and Their Effect on Customer Satisfaction and Purchase Loyalty in Supermarkets. [PDF]

Foods
Carrión-Bósquez N, Bernal-Peralta J, Navarrete-Álvarez M, Vidal-Alfaro M, Zambrano-Vélez W, López-Pastén I, Cortés-Tapia P, Duque-Zapata M.   +7 more
europepmc   +1 more source

Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics. [PDF]

Front Artif Intell
Tian Y, Shao W, Deng Z.
europepmc   +1 more source

Relational intelligence in AI chatbots: Examining the trust-engagement-emotion-social presence model using PLS-SEM and fsQCA. [PDF]

PLoS One
Wang Y, Safeer AA, Zhou Y.
europepmc   +1 more source

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Customer Retention Programs of CRM and Customer Retention in E-Banking

International Journal of E-Entrepreneurship and Innovation, 2012
This study, considering various viewpoints and concepts about customer relationship management (CRM), aims to propose a comprehensive set of customer retention programs of CRM (including customer service, loyalty programs, customization, and online community) and describe the correlation between each of these programs and customer retention.
Alireza Nili, Abbas Keramati
openaire   +2 more sources

An Intelligent Customer Retention System

2006
This paper proposes an intelligent system for handling the customer retention task, which is getting important due to keen competition among companies in many modern industries. Taking wireless telecommunication industry as a target of research, our system first learns an optimized churn predictive model from a historical services database by the ...
Bong-Horng Chu, Kai-Chung Hsiao, Cheng-Seen Ho   +2 more
openaire   +2 more sources