2010
DOI: 10.1504/ijbex.2010.029484
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A framework for analytical CRM: a data mining perspective

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Cited by 13 publications
(8 citation statements)
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“…Customer relationship management (CRM) systems are in place in firms in practice with a focus on the customer needs, requirements, and customer satisfaction as it is determined by the extent to which a product or service meets expectations (Oliver, 1980; Gupta and Zeithaml, 2006; Xue et al , 2013). CRM has always been widely regarded for developing and retaining customers through their increased satisfaction and loyalty (Ranjan and Bhatnagar, 2010). CRP is defined as the practice to manage customer complaints, build long-term relationships with customers, and improve customer satisfaction (Tan et al , 1998).…”
Section: Review Of the Literaturementioning
confidence: 99%
“…Customer relationship management (CRM) systems are in place in firms in practice with a focus on the customer needs, requirements, and customer satisfaction as it is determined by the extent to which a product or service meets expectations (Oliver, 1980; Gupta and Zeithaml, 2006; Xue et al , 2013). CRM has always been widely regarded for developing and retaining customers through their increased satisfaction and loyalty (Ranjan and Bhatnagar, 2010). CRP is defined as the practice to manage customer complaints, build long-term relationships with customers, and improve customer satisfaction (Tan et al , 1998).…”
Section: Review Of the Literaturementioning
confidence: 99%
“…Moreover, out of many organizational functions, studies were published more on marketing (Bohling et al, 2006;, succeeded by adoption of CRM technology (Richard et al, 2007). A large number of studies also focused on application of data mining techniques on customer data gathered through different channels (Sharma et al, 2008;Liou, 2009) and how information generated through data mining can be utilized for better customer segmentation (Chang et al, 2009) and understanding of customer behavior (Ranjan and Bhatnagar, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, out of many organizational functions, studies were published more on marketing (Bohling et al, 2006;, succeeded by adoption of CRM technology (Richard et al, 2007). A large number of studies also focused on application of data mining techniques on customer data gathered through different channels (Sharma et al, 2008;Liou, 2009) and how information generated through data mining can be utilized for better customer segmentation (Chang et al, 2009) and understanding of customer behavior (Ranjan and Bhatnagar, 2009). Under the category of eCRM it was found that authors have identified various issues such as managerial discretion (Coltman and Dolnicar, 2007), change management and user resistance management (Lin et al, 2007) (Paul et al, 2008;Kimiloglu and Zarali, 2009) yet focus on the issues generated due to dis-synergy between the electronic and traditional channel is lacking.…”
Section: Discussionmentioning
confidence: 99%
“…financial, social or market) (Nguyen & Waring, 2013). In the first perspective, the benefits of the m-CRM are the result of the application of mobile technology to the management of relationships with customers (Gefen & Ridings, 2002;Ranjan & Bhatnagar, 2009;Schierholz, Kolbe, & Brenner, 2007;Xu, Yen, Lin, & Chou, 2002). While in the second perspective, the one we will be using in this article, establishing and maintaining of mutually profitable and longlasting relationships between the company and its customers through mobile channels the benefits of m-CRM (Awasthi & Sangle, 2013;Camponovo, Pigneur, Rangone, & Renga, 2005;Nguyen & Waring, 2013;Schierholz et al, 2007).…”
Section: M-crm and Its Benefits From The Point Of View Of Relationshimentioning
confidence: 99%
“…It is expected that companies that base their decisionmaking processes on customer information and that use the database as an essential business tool, have a marked orientation toward customers (Ranjan & Bhatnagar, 2009). For this reason, we understand that these companies will notice that m-marketing, as a tool capable of recording personalized customer information (e.g.…”
Section: Environmental Contextmentioning
confidence: 99%