iValue: A Knowledge-based System for Estimating Customer Prospect Value

doi:10.1016/j.knosys.2011.05.004

淡江大學機構典藏 > 商管學院 > 企業管理學系暨研究所 > 期刊論文 > Item 987654321/79064

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题名:	iValue: A Knowledge-based System for Estimating Customer Prospect Value
作者:	Chang, Wei-Lun
贡献者:	淡江大學企業管理學系
关键词:	Customer lifetime value;Customer prospect value;Knowledge-based systems;Customer value;Customer relationship management
日期:	2011-12
上传时间:	2012-11-28 17:17:42 (UTC+8)
出版者:	Elsevier BV
摘要:	In the past, companies changed their focus from product-oriented within marketing to demand-oriented within quality improvement. Today, they emphasize customer service, customer loyalty, and customer profitability. The significance of customer-centric services has become critical and essential. However, certain research which investigates the effect of customer lifetime value focuses only on lifetime values of existing customers. This study devises a novel model to predict customers’ prospect value. In the proposed model, we utilize the concept of finance which stands in the current status and predicts future value based on historical data. The simulated results reveal that, in a long-term simulation, customer prospect value rises when reach rate increases. Decreasing reach rate and costs result in high customer prospect value; however, the value of customer prospect value decreases in a long-term simulation. The new model complements the existing customer lifetime value model from a different perspective and provides clues to customer value for future researches.
關聯:	Knowledge-Based Systems 24(8), pp.1181-1186
DOI:	10.1016/j.knosys.2011.05.004
显示于类别:	[企業管理學系暨研究所] 期刊論文

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