The Purpose of this study is to evaluate the difference between customer preferences and attitudes Islamic Bank in Ex-Banyumas residency Central Java, Indonesia. It also evaluates most considers attributes choosing an bank. Accidental sampling used with a total respondents as 100. To observe preferences, scoring method Chi-Square analysis are applied, meanwhile, Fishbein’s Attitude model discov...

the machine made carpet industry is one of the main and most famous industries in iran and especially in the city of yazd. however there is little information about customer preferences for different attributes of this product. in this article we tried to estimate the relative importance of the main attributes affecting customer desire for purchasing machine made carpet and the utility values f...

This paper proposes a framework for determining the return-set size that optimizes the tradeoff between requirements satisfaction (the degree to which the customer’s requirements are satisfied by the best inventory item presented to the customer) and cognitive load (the number of actions a customer must perform and the number of choices from which these are actions are selected). This framework...

Conventional utility theory models customer preferences in terms of actual performance and does not use benchmarks. But empirical work in gap analysis shows that customer preferences clearly depend upon the disparity between performance and some benchmark. To resolve this apparent discrepancy between theory and experiment, this paper shows that a simple reinterpretation of utility makes utility...

 Nonlinear MUSA is an extension of MUSA, which employs a derived approach to analyze customer satisfaction and its determinants. It is a preference disaggregation approach, widely welcomed by scholars since 2002, following the principles of ordinal regression analysis. N-MUSA as a goal programing model, evaluates the level of satisfaction among some groups including customers, employees, etcete...

In today’s competitive climate, customer relationship management (CRM) has become an essential component in airline business strategies. CRM in the airline industry would be based on analyzing customer data in order to understand preferences and behavior. In this paper, we apply data mining techniques to real airline frequent flyer data in order to derive CRM recommendations and strategies. Clu...

Motivated by overcoming the existing utility-based choice modeling approaches, we present a novel conceptual framework of multidimensional network analysis (MNA) for modeling customer preferences in supporting design decisions. In the proposed multidimensional customer–product network (MCPN), customer–product interactions are viewed as a socio-technical system where separate entities of ‘custom...

Recommender systems are techniques that allow companies to develop one-to-one marketing strategies and provide support in connecting with customers for e-commerce. There exist various recommendation techniques, including collaborative filtering (CF), contentbased filtering, WRFM-based method, and hybrid methods. The CF method generally utilizes past purchasing preferences to determine recommend...