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e-CRM – Data Modeling Using Adaptive Neuro Fuzzy model

International Journal of Business and Information Technology

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Title e-CRM – Data Modeling Using Adaptive Neuro Fuzzy model
 
Creator Harkut, Dinesh; Prof Ram Meghe College of Engineering and Management
 
Description With customer increasingly demanding full-scale solutions, insurance companies like any other service industries are more and more forced to continuously increase their portfolio and services. This paper presents a cross-disciplinary conceptual framework for understanding electronic commerce. The definition of electronic commerce for this paper is commerce that directly utilizes combinations of computing and communications technologies in some or all aspects of the interactions between a business and its customers. Building and maintaining customer loyalty are important issues in electronic business. Customer loyalty and customer equity can be improved by providing customer services, sharing cost benefits with online customers, and rewarding the most valued customers. ‘Personalization’, which was earlier recognized as the 5th ‘P’ of e-marketing, is now becoming a strategic success factor in the present customer-centric e-business environment. As customer also expects high quality and variety of services when needed, insurance companies have to find ways to present the right service at the right moment and with the right quality. This paper presents a framework, showing a possibility to personalize e-business processes by adapting the interactive system to customer preferences. The research has empirically tested the critical factors that influence an individual’s decision when buying products or services online. The proposed model applies Adaptive Neuro-Fuzzy model to converging business processes to get the desired results based on the gaps found in the literature. The system is adaptive as it uses a neural network learning ability for its adaptation.
 
Publisher International Journal of Business and Information Technology
 
Contributor
 
Date 2011-07-26
 
Type
 
Format application/pdf
 
Identifier http://ojs.excelingtech.co.uk/index.php/IJBIT/article/view/56
 
Source International Journal of Business and Information Technology; Vol 1, No 2 (2011): June
 
Language en
 
Rights The copyright of the contribution is transferred to IJBIT in case of acceptance. The copyright transfer covers the exclusive right to reproduce and distribute the contribution, including reprints, translations, photographic reproductions, microform, electronic form, or any other reproductions of similar nature. The Author may publish his/her contribution on his/her personal Web page provided that he/she creates a link to the mentioned volume of IJBIT. The Author may not publish his/her contribution anywhere else without the prior written permission of the publisher unless it has been changed substantially. The Author warrants that his/her contribution is original, except for such excerpts from copyrighted works as may be included with the permission of the copyright holder and author thereof, that it contains no libellous statements, and does not infringe on any copyright, trademark, patent, statutory right, or propriety right of others. The Author also agrees for and accepts responsibility for releasing this material on behalf of any and all co-authors.