Abstract
With the spread of online shopping worldwide, the assessing of E-commerce web sites quality is indispensable for their sustainability and maintainability in the market. In general, Multiple Criteria Decision Making (MCDM) methods interfere in the evaluation process in order to measure the weight of the most influencing criteria and choose the wanted web site among a great set of shopping web sites. However, the existing evaluation methods for web sites quality do not take into consideration the end-users satisfaction. Some of MCDM methods are combined with fuzzy set theory to reduce subjectivity and uncertainty of complex decisions problems. To this purpose, this paper proposes an approach based on fuzzy Analytic Network Process (fuzzy ANP) and the fuzzy Technique for Order Performance by Similarity to Ideal Solution (fuzzy TOPSIS) methods to rank and assess E-commerce web sites. The proposed approach is applied on a set of shopping web sites in order to detect their strengths and weakness. The ranking results are compared with those generated by the number of visits for a site.
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References
Casillas, J., Martínez-López, F.J.: Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling. Expert Syst. Appl. 36(2 PART 1), 1645–1659 (2009). https://doi.org/10.1016/j.eswa.2007.11.035
Chen, S., et al.: Group-buying website evaluation based on combination of TOPSIS, entropy weight and FAHP. J. Convergence Inf. Technol. 7(7), 130–139 (2012). https://doi.org/10.4156/jcit.vol7.issue7.17
Chiou, W.-C., et al.: A strategic framework for website evaluation based on a review of the literature from 1995–2006. Inf. Manag. 47(5–6), 282–290 (2010). https://doi.org/10.1016/j.im.2010.06.002
Gupta, M., Narain, R.: 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. Inf. Technol. Manage. 16(4), 339–349 (2014). https://doi.org/10.1007/s10799-014-0208-y
Gurrea, R., et al.: The role of symbols signalling the product status on online users’ information processing. Online Inf. Rev. 37(1), 8–27 (2013). https://doi.org/10.1108/14684521311311603
Hsu, C.-L., et al.: The impact of website quality on customer satisfaction and purchase intention: perceived playfulness and perceived flow as mediators. IseB 10(4), 549–570 (2012). https://doi.org/10.1007/s10257-011-0181-5
Hsu, T.-H., et al.: A hybrid ANP evaluation model for electronic service quality. Appl. Soft Comput. J. 12(1), 72–81 (2012). https://doi.org/10.1016/j.asoc.2011.09.008
Kumar, A., et al.: Using entropy and AHP-TOPSIS for comprehensive evaluation of internet shopping malls and solution optimality. Int. J. Bus. Excellence 11(4), 487–504 (2017). https://doi.org/10.1504/IJBEX.2017.082575
Liang, R., et al.: Evaluation of e-commerce websites: an integrated approach under a single-valued trapezoidal neutrosophic environment. Knowl. Based Syst. 135, 44–59 (2017). https://doi.org/10.1016/j.knosys.2017.08.002
Luo, J., et al.: The effectiveness of online shopping characteristics and well-designed websites on satisfaction. MIS Q. Manag. Inf. Syst. 36(4), 1131–1144.A9 (2012)
Mavlanova, T., et al.: Website signal perceptions and seller quality identification. In: 17th Americas Conference on Information Systems 2011, AMCIS 2011, pp. 1272–1280 (2011)
Nirmala, G., Uthra, G.: Quality of online shopping websites in india: a study using intuitionistic fuzzy AHP. J. Adv. Res. Dyn. Control Syst. 9(4), 117–124 (2017)
Polites, G.L., et al.: A theoretical framework for consumer e-satisfaction and site stickiness: an evaluation in the context of online hotel reservations. J. Organ. Comput. Electron. Commer. 22(1), 1–37 (2012). https://doi.org/10.1080/10919392.2012.642242
Rekik, R., et al.: Assessing web sites quality: a systematic literature review by text and association rules mining. Int. J. Inf. Manage. 38(1), 201–216 (2018). https://doi.org/10.1016/j.ijinfomgt.2017.06.007
Rekik, R., et al.: Extraction of association rules used for assessing web sites’ quality from a set of criteria. In: 2014 14th International Conference on Hybrid Intelligent Systems (HIS), pp. 291–296 (2014). https://doi.org/10.1109/HIS.2014.7086164
Rekik, R., et al.: Ranking criteria based on fuzzy ANP for assessing E-commerce web sites. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3469–3474 (2016)
Rekik, R., et al.: Using multiple criteria decision making approaches to assess the quality of web sites. Int. J. Comput. Sci. Inf. Secur. 14(7), 747 (2016)
Sun, S.-Y., et al.: Social cognition and the effect of product quality on online repurchase intention. In: Pacific Asia Conference on Information Systems, PACIS 2014 (2014)
Zaim, H., et al.: Multi-criteria analysis approach based on consumer satisfaction to rank B2C E-commerce websites. Presented at the SITA 2016 - 11th International Conference on Intelligent Systems: Theories and Applications (2016). https://doi.org/10.1109/SITA.2016.7772260
Acknowledgements
The author acknowledges the support of Prof. Ilhem Kallel, the helpful discussion elaborated with Prof. Jorge Casillas and the participation of the expert Nadhem Khanfir in answering the questionnaire.
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Appendix
Appendix
In this Appendix, the constructed questionnaire in Table 9 allows to the expert a better comprehension of the identified criteria. It is submitted online.
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Rekik, R. (2021). An Integrated Fuzzy ANP-TOPSIS Approach to Rank and Assess E-Commerce Web Sites. In: Abraham, A., Shandilya, S., Garcia-Hernandez, L., Varela, M. (eds) Hybrid Intelligent Systems. HIS 2019. Advances in Intelligent Systems and Computing, vol 1179. Springer, Cham. https://doi.org/10.1007/978-3-030-49336-3_20
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DOI: https://doi.org/10.1007/978-3-030-49336-3_20
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