An integrated decision framework for evaluating and selecting e-learning products

A sound decisionmethodology for evaluating and selecting e-learning products should considermultiple and conflicting criteria and the interactions among them. In this paper, a decision framework which employs quality function deployment (QFD), fuzzy linear regression and optimization is presented for elearning product selection. First, a methodology for determining the target values for e-learning product characteristics thatmaximize overall customer satisfaction is presented. TheQFD framework is employed toallocate resourcesand tocoordinate skills and functionsbasedoncustomerneeds.Differing fromearlier QFD applications, the proposed methodology employs fuzzy regression to determine the parameters of functional relationships between customer needs and e-learning product characteristics, and among elearning product characteristics themselves. Finally, the e-learning product alternatives are evaluated and ranked with respect to deviations from the target product characteristic values. The potential use of the proposed decision framework is illustrated through an application on e-learning products provided by the universities in Turkey. © 2010 Elsevier B.V. All rights reserved.