Attracting and Retaining Customers by Axiomatic Design and Incomplete Rough-Set Theory

被引:0
作者
Mizani N. [1 ]
Sheikh R. [1 ]
Gholami A. [1 ]
Sana S.S. [2 ]
机构
[1] Industrial Engineering and Management, Shahrood University of Technology, Shahrood
[2] Department of Mathematics, Bhangar Mahavidyalaya, South 24 Parganas, Bhangar
关键词
Axiomatic design; Customer loyalty; Incomplete rough set;
D O I
10.1007/s40819-018-0507-9
中图分类号
学科分类号
摘要
Customer is the most important source of added value in the company. So attracting and retaining the customers is vital in the competitive market. Identifying the effective factors on customer’s loyalty can help managers to make decisions related to maintaining and creating loyal customers. Customer’s behavioral structure designing based on axiomatic design technique reveals the logical actions and reactions between customers and the business environment. In this paper, customer’s behavior is designed based on axiomatic design technique in light of the rapid growth of data sets. The incomplete rough set theory is used in order to deal with missing data which may occur eventually in big data set. Thus customer’s behavioral rules are explored applying incomplete rough-set theory in data set of mobile phones. As a result, managers of a mobile phone companies can find out the appropriate strategies by mapping incomplete rough-set theory with axiomatic designed structure in order to attract and retain the customers. © 2018, Springer (India) Private Ltd., part of Springer Nature.
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共 31 条
[1]  
Picon-Berjoyo A., Ruiz-Moreno C., Castro I., A mediating and multigroup analysis of customer loyalty, Eur. Manag. J., 34, pp. 701-713, (2016)
[2]  
Nowinski V., Net Promoter Economics: The Impact of Word of Mouth, (2014)
[3]  
Noble C.H., Kumar M., Using product design strategically to create deeper consumer connections, Bus. Horiz., 51, pp. 441-450, (2008)
[4]  
Schonhoff A.M., Does Multi-stage Marketing Pay? Creating Competitive Advantages Through Multi-stage Marketing, (2014)
[5]  
Jeske D.R., Callanan T.P., Guo L., Identification of key drivers of Net Promoter Score using a statistical classification model, Efficient Decision Support Systems-Practice and Challenges from Current to Future, (2011)
[6]  
Baumann C., Hoadley S., Hamin H., Nugraha A., Competitiveness vis-à-vis service quality as drivers of customer loyalty mediated by perceptions of regulation and stability in steady and volatile markets, J. Retail. Consum. Serv., 36, pp. 62-74, (2017)
[7]  
Raza M.A., Nabeel A., Awan H.M., Khuram S.S., Relationship between service quality, perceived value, satisfaction and revisit intention in hotel industry, Interdiscip. J. Contemp. Res. Bus., 4, pp. 788-805, (2012)
[8]  
Dick A.S., Basu K., Customer loyalty: toward an integrated conceptual framework, J. Acad. Mark. Sci., 22, pp. 99-113, (1994)
[9]  
Kumar V., Pozza I.D., Ganesh J., Revisiting the satisfaction–loyalty relationship: empirical generalizations and directions for future research, J. Retail., 89, pp. 246-262, (2013)
[10]  
Keiningham T.L., Cooil B., Aksoy L., Weiner J., The value of different customer satisfaction and loyalty metrics in predicting customer retention, recommendation, and share-of-wallet, J. Serv. Theory Pract., 17, pp. 361-384, (2007)