Competition in trade is increasing every day along with the influence of globalization. The primary factor allowing globalization to reach large dimensions in our day has been the intense use of the internet and internet technologies in trade. In this intense completive environment, internet offers significant advantages to all businesses, either large or small. One of the most important factors that place enterprises serving customers in the web environment and one step ahead is the quality of the web pages. The design of websites in a manner to meet the expectations of the consumers is quite important for them to succeed. Primarily the quality of the online shopping sites has been focused on and quality perceptions of consumers regarding websites, where books are sold online have been evaluated. The Fuzzy TOPSIS method is used for the evaluation of five Turkish bookstores websites quality. Fifteen sub-criteria under four main categories were used in the evaluation of bookstore websites quality.
Argawal, R. & Venkatesh, V. (2002). Assessing a Firm’s Web Presence: A Heuristic Evaluation Procedure for the Measurement of Usability. Information Systems Research, 13(2), 168–186.
Awasthi, A., Chauhan, S.S., Omrani, H. & Panahi, A. (2011). A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Computers & Industrial Engineering, 61, 637-646.
Barnes, S. J. & Vidgen, R. (2001). An evaluation of cyber-bookshops: the WebQual method. International Journal of Electronic Commerce, 6, 11–30.
Chang, H. H., Wang, Y.H. & Yang W. Y. (2009). The Impact of e-service quality, customer satisfaction and loyalty on e-marketing: Moderating effect of perceived value. Total Management, 20(4), 423-443.
Chiu, C.M., Hsu, M.H., Sun, S.Y. Lin, T.C. & Sun, P.C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45(4), 399- 416.
Cho, V., Cheng T.C.E. & Lai, W.M.J. (2009). The role of perceived user-interface design in continued usage intention of self-paced e-learning tools. Computers & Education, 53(2), 216-227.
Chou, W. C.; Cheng, Y. P. (2012). A hybrid fuzzy MCDM approach for evaluating website quality of professional accounting firms. Expert Systems with Applications 39(3), 2783–2793.
Çebi, S. (2013). A quality evaluation model for the design quality of online shopping websites. Electronic Commerce Research and Applications, 12, 124–135.
DeLone, W. H. & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
Devaraj, S., Fan, M. & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics. Information Systems Research, 13, 316– 333.
Ecer, F. (2014). A hybrid banking websites quality evaluation model using AHP and COPRAS-G: a Turkey case. Technological and Economic Development of Economy, 20(4), 758-782.
Garcia-Cascales, M. S., Lamata, M.T. & Verdegay, J.L. (2010). The TOPSIS methods and its application to linguistic variables. In Greco, S., Marques Pereira, R.A., Squillante, M., Yager, R.R. (Eds.), Preferences and Decisions Models and Applications (pp. 383-395). Springer-Verlag, Berlin.
Hasan, L. and Abuelrub, E. (2011). Assessing the quality of websites. Applied Computing and Informatics, 9, 11-29.
Janda, S., P.J. Trocchia & K.P. Gwinner, (2002). Consumer perceptions of Internet retail service quality. International Journal of Service Industry Management, 13(5), 412-431.
Katerattanakul, P. (2002). Framework of effective web site design for business-to-consumer Internet commerce. INFOR, 40, 57-70.
Kaya, T. (2010). Multi-attribute Evaluation of Website Quality in e-business Using an Integrated Fuzzy AHP-TOPSIS Methodology. International Journal of Computational Intelligence Systems, 3(3), 301-314.
Kim, S.Y. & Lim, Y.J. (2001). Consumers' perceived importance of and satisfaction with Internet shopping. Electronic Markets, 11(3), 148-154.
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online customer behavior. Information Systems Research, 13(2), 205–223.
Kuenzel, S. (2009). Developing of Customer Satisfaction and Customer Satisfaction and Customer Loyalty in Business Markets. Journal of International Business and Economics, 9(4), 78-87.
Lee, M. K. O., Christy M.K. & Chen, Z. (2005). Acceptance of internet-based learning medium: The role of extrinsic and intrinsic motivation. Information & Management, 42, 8, 1095-1104.
Lee, Y. & Kozar, K.A. (2006). Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach. Decision Support Systems, 42, 1383–1401.
Lin, H.F. (2007). Measuring online learning systems success: Applying the updated DeLone and McLean’s model. Cyberpsychology & Behavior, 10(6), 817-820.
Madu, C. N. & Madu, A. A. (2002). Dimensions of e-quality. International Journal of Quality and Reliability Management, 19(3), 246–258.
Marks, R.B., Sibley S.D. & Arbaugh, J.B. (2005). A structural equation model of predictors for effective online learning. Journal of Management Education, 29(4), 531-563.
Moustakis, V. S., Litos, C., Dalivigas, A. & Tsironis, L. (2004). Website quality assessment criteria. Proceedings of the Ninth International Conference on Information Quality (ICIQ-04).
Negash, S. Ryan, T. & Igbaria, M. (2003). Quality and effectiveness in web-based customer support system, Information & Management 40(8), 757–768.
Nilashi, M., Karamollah, B., Othman, I., Nasim, J. & Leila, E. (2012). Ranking parameters on quality of online shopping websites using multi-criteria method. Research Journal of Applied Sciences, Engineering and Technology, 4(21), 4380-4396.
Ong, C.S., Lai, J.Y. & Wang, Y.S. (2004). Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies. Information & Management, 41(6), 795-804.
Palmer, J. W. (2002). Website usability, design and performance metrics. Information Systems Research, 13, 2, 151–167.
Parasuraman, A. Zeithaml, V. A. & Malhotra, A. (2005). E-S-QUAL a multiple-item scale for assessing electronic service quality. Journal of Service Research 7(3), 213-233.
Parasuraman, A., Berry, L. L. & Zeithaml V. A. (1993). More on improving service quality measurement. Journal of Retailing, 69, 141-147.
Roca, J.C., Chiu, C.M. & Martinez, F.J. (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8), 683-696.
Santos, J. (2003). E-service quality a model of virtual service dimensions. Managing Service Quality, 13(3), 233-247.
Semeijn, J., Riel, A., Birgelen, M. & Streukens, S. (2005). E-service and offline fulfillment: how e-loyalty is created. Managing Service Quality, 15(2), 182-194.
Sevim, N. (2013). E-Perakendecilik, Anadolu University, Eskisehir, Turkey.
Sun, C. C. & Lin, G. T. R. (2009). Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites. Expert Systems with Applications 36(9), 11764–11771.
Sun, Q., Wang, C. & Cao, H. (2009). Applying E-S-QUAL scale to analysis the factors affecting consumers to use internet banking services. Proceeding of IITA International Conference on Services Science, Management and Engineering, 242-245.
Teo, H.H., Chan, H.C., Wei, K.K. & Zhang, Z. (2003). Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities. International Journal of Human-Computer Studies, 59(5), 671-697.
TUIK, (2014). Information and Communication Technology (ICT) Usage Survey on Households and Individuals. http://www.turkstat.gov.tr/PreHaberBultenleri.do?id=16198 (available 8/8/2015).
Tung, F.C. & Chang, S.C. (2008). Nursing students’ behavioral intention to use online courses: A questionnaire survey. International Journal of Nursing Studies, 45(9), 1299-1309.
Tzeng, G.H., Chiang, C.H. & Li, C.W. (2007). Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32(4), 1028-1044.
Wang, Y.S., (2003). Assessment of learner satisfaction with asynchronous electronic learning systems. Information & Management, 41(1), 75-86.
Webb, H. W. & Webb, L. A. (2004). SiteQual: an integrated measure of web site quality. Journal of Enterprise Information Management, 17(6), 430–440.
Yang, Z., Cai, S., Zhou, Z. & Zhou, N. (2005). Development and validation of an instrument to measure user perceived service quality of information presenting web portals. Information & Management 42, 575–589.
Yen, C. & Lu, H. (2008). Effects of e-service quality on loyalty intention: an empirical study in online auction. Managing Service Quality, 18(2), 127-146.
Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8(3), 338-353.
Zadeh, L. A. (1975). The concepts of a linguistic variable and its applications to approximate reasoning (I). Information Science, 8, 199–249.
Zeithaml, V. A. 2002. Service excellence in electronic channels. Managing Service Quality 12(3), 135–138.
Alptekin, N., Hall, E. E., & Sevim, N. (2015). Evaluation of Websites Quality Using Fuzzy TOPSIS Method. International Journal of Academic Research in Business and Social Sciences, 5(8). 206-223.
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