Ranking criteria based on fuzzy ANP for assessing E-commerce web sites

Assessing E-commerce web sites quality is essential not only to have recommendations for improvement but also to make comparisons with competitors. In this paper, the aim is to know the best criteria for the evaluation and obtain a weight for them using fuzzy Analytic Network Process (fuzzy ANP). The subjective judgments of the decision maker are expressed by fuzzy numbers. The decision making problem is solved by making fuzzy pairwise comparisons and a feedback between the criteria.

[1]  Daekook Kang,et al.  Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on E-S-QUAL , 2016, Appl. Soft Comput..

[2]  Ilhem Kallel,et al.  Fuzzy reduced method for evaluating the quality of institutional web sites , 2011, 2011 7th International Conference on Next Generation Web Services Practices.

[3]  Szu-Yuan Sun,et al.  Social Cognition and the effect of Product Quality on Online Repurchase Intention , 2014, PACIS.

[4]  Jaime Muñoz Arteaga,et al.  A measurement model for secure and usable e-commerce websites , 2009, 2009 Canadian Conference on Electrical and Computer Engineering.

[5]  Adel M. Alimi,et al.  Quality evaluation of web sites: A comparative study of some Multiple Criteria Decision Making methods , 2015, 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA).

[6]  Adel M. Alimi,et al.  Extraction of association rules used for assessing web sites' quality from a set of criteria , 2014, 2014 14th International Conference on Hybrid Intelligent Systems.

[7]  Manish Gupta,et al.  A fuzzy ANP based approach in the selection of the best E-Business strategy and to assess the impact of E-Procurement on organizational performance , 2014, Information Technology and Management.

[8]  Tsuen-Ho Hsu,et al.  A hybrid ANP evaluation model for electronic service quality , 2012, Appl. Soft Comput..

[9]  Thomy Eko Saputro,et al.  Evaluation of B2C website based on the usability factors by using fuzzy AHP & hierarchical fuzzy TOPSIS , 2016 .

[10]  Kan Liu,et al.  Evaluation of China’s B2C E-commerce Website: An Analysis of Factors that Influence Online Buying Decision , 2016, MUE 2016.

[11]  Chee Peng Lim,et al.  A new method to rank fuzzy numbers using Dempster-Shafer theory with fuzzy targets , 2016, Inf. Sci..

[12]  Thomas O. Boucher,et al.  Strong transitivity, rationality and weak monotonicity in fuzzy pairwise comparisons , 1998, Fuzzy Sets Syst..

[13]  Ya-Ping Chang,et al.  Understanding the influence of C2C communication on purchase decision in online communities from a perspective of information adoption model , 2016, Telematics Informatics.

[14]  Tekmoloji.  Pacific Asia Conference on Information Systems , 2010 .

[15]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[16]  Salam Abdallah,et al.  Website Appeal: Development of an Assessment Tool and Evaluation Framework of E-Marketing , 2015, J. Theor. Appl. Electron. Commer. Res..

[17]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[18]  Ilhem Kallel,et al.  Fuzz-Web: A Methodology Based on Fuzzy Logic for Assessing Web Sites , 2013 .

[19]  Chia-Chi Sun,et al.  Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites , 2009, Expert Syst. Appl..