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Salim Lahmiri 《International Journal of Intelligent Systems in Accounting, Finance & Management》2017,24(1):49-55
A two‐step system is presented to improve prediction of telemarketing outcomes and to help the marketing management team effectively manage customer relationships in the banking industry. In the first step, several neural networks are trained with different categories of information to make initial predictions. In the second step, all initial predictions are combined by a single neural network to make a final prediction. Particle swarm optimization is employed to optimize the initial weights of each neural network in the ensemble system. Empirical results indicate that the two‐step system presented performs better than all its individual components. In addition, the two‐step system outperforms a baseline one where all categories of marketing information are used to train a single neural network. As a neural networks ensemble model, the proposed two‐step system is robust to noisy and nonlinear data, easy to interpret, suitable for large and heterogeneous marketing databases, fast and easy to implement. 相似文献
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《Journal of Foodservice Business Research》2013,16(2):37-47
Abstract One of the downsides of university foodservice operations is that non-mandated students are less likely to participate in the meal plan program. This paper discusses the development and use of telemarketing as a means of increasing student participation in non-mandated meal plans. Three goals were established for the telemarketing program: Increase revenues; define student participation factors; and generate goodwill. An analysis of revenues and costs attributed to the program showed that telemarketing was an effective means of increasing sales and generating profits. 相似文献
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近年来,随着我国经济的快速发展,我国保险业一直保持着持续、快速的发展态势.太平洋保险公司作为一家以电销为主营业务的人寿险公司,在保费收入不断增长的同时,客户流失率却一直居高不下,严重制约了公司的发展.论文以太平洋保险公司电销客户关系管理为研究对象,深入剖析电销客户关系管理存在的问题与原因,并提出相应的改进策略,以助于改... 相似文献
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