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Titlebook: An Intelligent Customer Complaint Management System with Application to the Transport and Logistics ; Alireza Faed Book 2013 Springer Inte

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楼主: Gram114
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Übergangsvorschrift §§60, 61 RVGationship between our proposed variables based on the conceptual framework, we utilise linear modelling to formulate the relationship between customer satisfaction with its antecedents and consequences. Also, utilizing a formula, we test and prove the relationships. .
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https://doi.org/10.1007/978-3-8349-9385-4tly, numerous researchers are working on CRM and its components such as customer satisfaction, perceived value, interactivity, customer acquisition and loyalty. However, their research outcomes cannot fully address all customer issues. In this thesis, we discuss the issue of customer complaints and have developed ways of addressing these.
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Linear and Non-linear Analytics and Opportunity Development in I-CRM,ationship between our proposed variables based on the conceptual framework, we utilise linear modelling to formulate the relationship between customer satisfaction with its antecedents and consequences. Also, utilizing a formula, we test and prove the relationships. .
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Conclusion of the Thesis and Future Works,tly, numerous researchers are working on CRM and its components such as customer satisfaction, perceived value, interactivity, customer acquisition and loyalty. However, their research outcomes cannot fully address all customer issues. In this thesis, we discuss the issue of customer complaints and have developed ways of addressing these.
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https://doi.org/10.1007/978-3-8349-9385-4es that should be addressed first in order to improve customer satisfaction within the shortest time with maximum results. This concept can be proven by the processes of analytical hierarchy and sensitivity analysis which provide mapping between customer type and satisfaction level.
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Improving Customer Satisfaction Through Customer Type Mapping and I-CRM Strategies,es that should be addressed first in order to improve customer satisfaction within the shortest time with maximum results. This concept can be proven by the processes of analytical hierarchy and sensitivity analysis which provide mapping between customer type and satisfaction level.
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Book 2013current literature on CRM, the thesis describes the development of a new intelligent CRM (I-CRM) framework, which integrates text analytics, type mapping, SPSS, structural equation modeling, and linear and fuzzy approaches. This new methodology, in contrast to previous ones, is able to handle custom
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Book 2013ide solution to the major complaints of the key customers, hence promoting business development. The thesis  also describes the successful application of the method to a real-world case, represented by the immeasurable truck drivers complaints at the Fremantle port in Western Australia. . .
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