An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites

Babak Daneshvar Rouyendegh (), Kazim Topuz (), Ali Dag () and Asil Oztekin ()
Additional contact information
Babak Daneshvar Rouyendegh: Ankara Yıldırım Beyazıt University (AYBU)
Kazim Topuz: University of Oklahoma
Ali Dag: University of South Dakota
Asil Oztekin: University of Massachusetts Lowell

Information Systems Frontiers, 2019, vol. 21, issue 6, No 10, 1345-1355

Abstract: Abstract This study presents a hybrid framework of Analytic hierarchy process and Intuitionistic Fuzzy Technique for Order of Preference by Similarity to Ideal Solution for the assessment and evaluation of E-commerce web site (EWS) performance. The proposed hybrid model enables decision makers to assess and efficiently use intuitionistic fuzzy numbers. In addition, human judgment can effectively be incorporated in the evaluation process. The present model provides an accurate classification of EWS’ performance. A numerical case study is provided to demonstrate the proposed analytic methodology to validate the efficiency and effectiveness of the hybrid model.

Keywords: E-commerce website (EWS); Multi-criteria decision-making (MCDM); Analytic hierarchy process (AHP) (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-018-9825-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:21:y:2019:i:6:d:10.1007_s10796-018-9825-z

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-018-9825-z

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().