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

ALPTEKİN S. E., KARSAK E. E.

APPLIED SOFT COMPUTING, cilt.11, sa.3, ss.2990-2998, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 11 Sayı: 3
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.asoc.2010.11.023
  • Dergi Adı: APPLIED SOFT COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.2990-2998
  • Anahtar Kelimeler: Quality function deployment, E-learning, Fuzzy regression, House of quality, QUALITY FUNCTION DEPLOYMENT, LINEAR-REGRESSION, FUZZY REGRESSION, MODEL, SYSTEMS, SATISFACTION, ACCEPTANCE
  • Galatasaray Üniversitesi Adresli: Evet

Özet

A sound decision methodology for evaluating and selecting e-learning products should consider multiple 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 e-learning product selection. First, a methodology for determining the target values for e-learning product characteristics that maximize overall customer satisfaction is presented. The QFD framework is employed to allocate resources and to coordinate skills and functions based on customer needs. Differing from earlier 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 e-learning 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. (C) 2010 Elsevier B. V. All rights reserved.