دانلود مقالات Customer Relationship Management (CRM) 2012-2013 sciencedirect لیست هفتم

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1  
Dynamic customer lifetime value prediction using longitudinal data: An improved multiple kernel SVR approach Original Research Article
Knowledge-Based Systems, Volume 43, May 2013, Pages 123-134
Zhen-Yu Chen, Zhi-Ping Fan
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Highlights

► Longitudinal data are introduced into the dynamic CLV prediction model. ► An MK-SVR approach is proposed to model the controlled and independent variables. ► The controlled variable about multiple promotions is incorporated into MK-SVR. ► The dynamic customized promotion policy is determined by maximizing the CLV.
32  
Corporate Strategy, Corporate Culture & Customer Information Original Research Article
Procedia - Social and Behavioral Sciences, Volume 73, 27 February 2013, Pages 669-677
Myropi Garri, Nikolaos Konstantopoulos, Michail Bekiaris
33  
The use of organizational capabilities to increase customer value Original Research Article
Journal of Business Research, In Press, Corrected Proof, Available online 4 March 2013
Silvia Martelo, Carmen Barroso, Gabriel Cepeda
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34  
Improving customer retention in financial services using kinship network information Original Research Article
Expert Systems with Applications, Volume 39, Issue 13, 1 October 2012, Pages 11435-11442
Dries F. Benoit, Dirk Van den Poel
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Highlights

► We model churn/retention behavior in financial services. ► We examine the improvement of predictions when taking customer networks into account. ► The methodology is based on the egocentric network approach. ► Inclusion of kinship-based networks considerably increases predictive accuracy. ► Network-based predictors are often better predictors than the individual based variables.
35  
Impact of customer integration on project portfolio management and its success—Developing a conceptual framework Original Research Article
International Journal of Project Management, Volume 30, Issue 5, July 2012, Pages 567-581
Martin Voss
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Highlights

► Framework links customer integration and project portfolio management (PPM). ► Customer relationship portfolio management identified as relevant process for PPM. ► Relationship value as mediator between customer integration and portfolio success. ► Links and interfaces between PPM and customer relationship management discovered. ► Marketing and PPM research enhanced by connecting relationship portfolios to PPM.
36  
Including spatial interdependence in customer acquisition models: A cross-category comparison Original Research Article
Expert Systems with Applications, Volume 39, Issue 15, 1 November 2012, Pages 12105-12113
Philippe Baecke, Dirk Van den Poel
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Highlights

► This paper investigates the added value of using spatial information in customer acquisition models. ► It compares two spatial techniques across multiple products and brands. ► This paper is based on a larger and more realistic data sample.
37  
An empirical study in selecting Enterprise Resource Planning Systems: The relation between some of the variables involve on it. Size and Investment Original Research Article
Procedia Technology, Volume 3, 2012, Pages 292-303
Augusto A. Pacheco-Comer, Juan C. González-Castolo
38  
Employee relationship management — Realizing competitive advantage through information technology? Original Research Article
Human Resource Management Review, Volume 23, Issue 1, March 2013, Pages 93-104
Stefan Strohmeier
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39  
Does customer information usage improve a firm's performance in business-to-business markets? Original Research Article
Industrial Marketing Management, Volume 41, Issue 6, August 2012, Pages 984-994
Minna Rollins, Danny N. Bellenger, Wesley J. Johnston
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Highlights

► We study two types of customer information usages in business companies. ► Direct customer information usage has a positive effect on customer performance. ► Amount of information collected and sharing it contributes to better usage of customer information.
40  
FAQtory: A framework to provide high-quality FAQ retrieval systems Original Research Article
Expert Systems with Applications, Volume 39, Issue 14, 15 October 2012, Pages 11525-11534
A. Moreo, M. Romero, J.L. Castro, J.M. Zurita
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Highlights

► Actual user’s information needs lead the task of FAQ maintenance. ► FAQ managers are not expected to be IR experts-knowledge modelling is not required. ► Summarization and visualization tools present usage information to FAQ managers in a meaningful manner. ► Analysis of user queries helps to automatically discover knowledge gaps in the FAQ.



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