2013
DOI: 10.1016/j.eswa.2013.07.053
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Customer relationship management in the hairdressing industry: An application of data mining techniques

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Cited by 92 publications
(47 citation statements)
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“…The K-means algorithm is widely used to pre-process data or for clustering because of its simplicity and efficiency (Mesforoush & Tarokh, 2013). K-means has been widely used to effectively identify the valuable customers and develop the related marketing strategies (Wei et al, 2013;Mesforush & Tarokh, 2013). In particular, Cheng & Chen (2009) use the RFM model and K-means to perform customer relationship management, and the experimental results demonstrate that their proposed model is an effective method in customer value analysis.…”
Section: K-means Algorithmmentioning
confidence: 99%
“…The K-means algorithm is widely used to pre-process data or for clustering because of its simplicity and efficiency (Mesforoush & Tarokh, 2013). K-means has been widely used to effectively identify the valuable customers and develop the related marketing strategies (Wei et al, 2013;Mesforush & Tarokh, 2013). In particular, Cheng & Chen (2009) use the RFM model and K-means to perform customer relationship management, and the experimental results demonstrate that their proposed model is an effective method in customer value analysis.…”
Section: K-means Algorithmmentioning
confidence: 99%
“…Länsiluoto and Eklund (2008) examined macro-and firm-level competitive environments to determine the correlations between the elements within an environment and assist businesses with their operational decisions. Wei et al (2013) adopted the SOM method for dividing barber shop customers into various groups for organizing marketing approaches based on market segmentation. Among the relevant studies conducted in 2014, Hajek et al (2013) employed SOMs for analyzing factors for the success of the regional development in the European Union and for verifying the hypotheses of previous studies.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, Wei et al [25] described customer relationship management as the adoption of information technology to develop new customers and retain old customers as to keep long-term and closed relationship, which aims to improve customer relationship and thus can help increase customer loyalty, customer retention and customer profitability. Similarly, Khodakarami and Chan [22] viewed CRM as a group of information systems that enable organizations to contact customers and collect, store and analyze customer data to provide a comprehensive view of their customers.…”
Section: Literature Review and Developing Hypothesesmentioning
confidence: 99%