IRAN’s Commercial Welfare Free-Zones Websites Quality Ranking with FBWM and FCODAS Method

Document Type : Original Article

Authors

1 Associate Professor, Department of Industrial Engineering, East Gilan Technical and Engineering Faculty, Gilan University, Iran

2 Master's Degree, Department of Industrial Engineering, Noshirvani University of Technology, Babol, Iran

Abstract

Purpose: This research aims to identify the criteria for evaluating the quality of an optimal business-welfare website for free zones, as well as the significance of these criteria. It also ranks the current websites of the country's free zones. Finally, based on the results of the research, methods are provided to enhance the quality of website services and increase user satisfaction. This includes emphasizing investment in website design and strengthening information content.
Method: The tools in this article include a checklist questionnaire for general use and the Webqual method for evaluating website services. After establishing the theoretical background for website design and using the Fuzzy-Delphi method, the weight of each criterion was obtained using the Fuzzy-Best Worst Method (FBWM). Experts for this two-stage process were selected from website designers, front-end and back-end developers, UI designers, content producers, and network advertising experts using snowball sampling. Finally, ranking the regional websites using the FCODAS method. Due to the uncertainty and ambiguity of people's thinking, new fuzzy decision-making methods have been utilized at every stage.
Findings: The most crucial indicators for assessing the quality of a website include the relevance of the information to the website's subject, robust search engine functionality, support for various user interface environments, customer service and respectful attitude, response time to user requests, secure communication, and confidentiality of personal information. In this evaluation, the website of Chabahar Free Zone was discovered to be the best, while the free zones of Aras, Anzali, Qeshm, Kish, Mako, and Arvand were ranked next, respectively.
Conclusion: The advancement of technology and the high functionality of the virtual space in the welfare-commercial fields have made it clear that improving website design can lead to positive feedback in user experience. It is also an important factor in attracting domestic and foreign markets, tourism tours, and enhancing business prospects.
 

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Main Subjects


Adler, M. & Ziglio, E. (1996). Gazing Into the Oracle: The Delphi Method and its Application to Social and Public Health. Jessica Kingsley.
Ahmadi Mirghaed, A. & Momeni, E. (2020). Evaluation of knowledge management criteria in
the website of govenmental universities in Tehran based on the K-ACT model: Case studies of Tehran University website, Tarbiat Modares and Allameh Tabatabai. Sciences and Techniques of Information Management, 6(3): 107-130. https://doi.org/10.22091/stim.2020.5130.1367 [in persian]
Ahmadi, N. (2010). The web quality model is an approach to developing a conceptual model in improving the quality of website services. Library and Information Sciences, 12(4): 53-72.
[in persian]
Akgül, Y. (2021). Accessibility, usability, quality performance, and readability evaluation of university websites of Turkey: a comparative study of state and private universities. Universal Access in the Information Society, 20(1): 157-170. https://doi.org/10.1007/s10209-020-00715-w
Amin-Tahmasbi, H. & Asgharpour, M.H. (2021). Challenges of managing health centers during the Covid-19 pandemic. Journal of Health Administration, 24(3): 79-91. 
https://www.doi.org/10.52547/jha.24.3.79 [in persian]
Amin-Tahmasbi, H., MirAkbari, S.M. & Nasirzadeh, H. (2020). Optimizing the location of urban uses with combined methods Delphi-BWM-PROMETHEE (case study of Ahvaz fire stations). Urban Planning Knowledge, 4(3): 89-110. https://doi.org/10.22124/upk.2020.16186.1438 [in persian]
Athanasopoulou, P. (2009). Relationship Quality: A Critical Literature Review and Research Agenda. European Journal of Marketing, 43(5-6): 583-610. https://doi.org/10.1108/03090560910946945
Bronner, F. & De Hoog, R. (2016). Travel websites: Changing visits evaluations and pots. Annals of Tourism Research, 57: 94-112. https://doi.org/10.1016/j.annals.2015.12.012
Chou, C. & Liang, G. & Chang, H. (2013). A Fuzzy AHP approach based on the concept of possibility extent. Quality and Quantity، International Journal of Methodology, 47: 1-4.  
https://doi.org/10.1007/s11135-011-9473-6
Eftekhar Jahromi, G. & Rezvani, E. (2016). Privatization Model of Administrative Framworke of Free Trade Zones. Journal of Strategic Management Studies, 7(26): 249-275.
https://dorl.net/dor/20.1001.1.22286853.1395.7.26.11.2 [in persian]
Ershadi, M.J. & Moghadam, Z. (2020). Determine the Importance of Website Quality Criteria from the Point of view of Users EQUAL Techniques and Fuzzy Network Analysis Process. Consumer Behavior Studies Journal, 6(2): 24-45. https://doi.org/10.34785/J018.2019.748 [in persian]
Esfandiari, A.A., Moghadas Hosseinzadeh, S. & Delavari, M. (2008). Evaluation of Iran’s Free Trade Zones and Its Effects On Economic Development of These Zones. Economics Research, 8(28): 119-146. https://dorl.net/dor/20.1001.1.22286853.1395.7.26.11.2 [in persian]
GharibehNiazi, M., Karbala Aghaei Kamran, M. & Ghaebi, A. (2015). Evaluating Iranian State University websites accredited by Ministry of Science, Researchand Technology using WebQEM. Journal of Studies in Library and Information Science, 22(1): 119-142.
https://doi.org/10.22055/slis.2015.11321 [in persian]
Guo, S. & Zhao, H. (2017). Fuzzy Best-Worst Multi-Criteria Decision-making Method and its applications. Knowledge Based-Systems, No.121: 23-31.   
https://doi.org/10.1016/j.knosys.2017.01.010
Hassan Qalipour, T., HashmiNejad, S.M., Azizan, M. & Seighali, M. (2012). Identifying and ranking effective criteria on electronic shopping in the country. Future Studies of Management, 24(99):
1-14. [in persian]
Hosseinpouli Mamaghani, F. & Montazar, G.A. (2021). Designing a Model for Evaluating Iranian University Websites: Using Fuzzy VIKOR Approach. Iranian Journal of Information Processing and Management, 36(4): 971-993. https://doi.org/10.52547/jipm.36.4.971 [in persian]
JavanMard, H. & Soltanzadeh, A. (2010). Surveying the E-brand & Web Site Characteristics and Its Impact on Customers Trust & Loyalty (The Case of Cultural Institutes). Iranian Journal of Trade Studies, 14(53): 225-256. https://dorl.net/dor/20.1001.1.17350794.1388.14.53.8.1 [in persian]
Law, R., Qi, S. & Buhalis, D. (2010). Progress in tourism management: a review of website evaluation in tourism research. Tourism Management, No. 31: 297-313.         
https://doi.org/10.1016/j.tourman.2009.11.007
Mardani-Nejad, A., Danesh, F., Saadat, H. & Darbani, S.M.R. (2019). Websites content quality of Iranian universities of technology: Awebometrics study. Iranian Journal of Information Processing and Management, 34(4): 1701-1734. https://doi.org/10.35050/JIPM010.2019.019
[in persian]
McKercher, B. Denizci-Guillet, B. & NG, E. (2012). Rethinking loyalty. Annals of Tourism Research, 39(2): 708-734. https://doi.org/10.1016/j.annals.2011.08.005
Mohammadi, F., Yazdani, H.R. & Adibzadeh, M. (2020). A Meta-Analysis of Online Shopping Studies: Review and Synthesis Online sShopping Studies Results. Information Technology Management Studies Quarterly, 9(33): 101-142. https://doi.org/10.22054/ims.2020.12038
[in persian]
Mohammadzadeh, Z., Maserat, E., Davoodi, S., Tayari, S., Shayan, N. & Valizadeh, N. (2020). Developing an electronic resources evaluation framework for evidence-based education in medical sciences. Journal of Modern Medical Information Sciences, 6(3): 55-62.      
http://dx.doi.org/10.29252/jmis.6.3.52 [in persian]
Moslehi, L. & Salimi, M. (2022). Designing and validating a model for measuring the quality of sports news websites. Contemporary Studies On Sport Management, 12(23): 183-195.       
https://doi.org/10.22084/smms.2021.24169.2850 [in persian]
Mousavi Rad, S.T., Fazeli, J. & Mohammadi, M. (2022). The role of sports website quality in e-satisfaction and revisit intention of football fans. Journal of sociological and managerial analysis in sports, 3(12). [in persian]
Rangriz, H. & Karami, N. (2012). Investigating the effect of website satisfaction and ease of use on increasing customer loyalty and positive word-of-mouth advertising in electronic banking services (case study of Bank Mellat, Zanjan province). Quantitative Studies in Management, 3(1): 81-98. [in persian]
Rezaei, J. (2015) Best-Worst Multi-Criteria decision-making Method. Omega, 53: 49-57.        
https://doi.org/10.1016/j.omega.2014.11.009
Roknaddin Eftekhari, A. Vojdani Tehrani, H. Ali Razini, E. (2009). Evaluation & Prioritization of Iranian Free Trade Zones Using MADM Method. Journal of Spatial Planning, 13(2): 142-195.
[in persian]
Sadeghiarani, Z. (2022). Developing a Model of Users' Satisfaction and Loyalty Based on Content and Structural Quality of E-Service (Case: The National Library and Archives of Iran Website). Sciences and Techniques of Information Management, 8(1): 143-192.          
https://doi.org/10.22091/stim.2021.6300.1491 [in persian]
Sharifi-Tehrani, M., Bapiri, J., Esfandiar, K. & Chitsaz, A. (2017). Comparing and Ranking tourism websites performance based on e-satisfaction, e-trust, e-quality, and e-loyalty: A combined approach of structural equation modeling, fuzzy and analytical hierarchical process. Iranian Journal of Information Processing and Management, 32(4): 1065-1092.   
https://doi.org/10.35050/JIPM010.2017.025 [in persian]
Soheili, F., Jasri, S., Khaseh, A.A. & Danesh, F. (2021). Usability of Mobile Website of the Libraries of Top Medical Sciences Universities in Iran. Payavard Salamat, 15(1): 1-13.        
http://dorl.net/dor/20.1001.1.17358132.1400.15.1.3.3 [in persian]
Van Huy, L. & Thai Thinh, N.H. (2024). Ranking the hotel website service quality according to customer’s perception: A case study of 4-star hotel. Journal of Quality Assurance in Hospitality & Tourism, 25(1): 37-56. https://doi.org/10.1080/1528008x.2022.2100032
Yeni, F.B. & Özçelik, G. (2019). Interval-valued Atanassov intuitionistic Fuzzy CODAS method for multi criteria group decision making problems. Group Decision and Negotiation, 28(2): 433-452. https://doi.org/10.1007/s10726-018-9603-9
Zeynali Tazehkandi, M. & Baghestany Tajali, A. (2019). Quality Assessment of Central Library’s Website at Ferdowsi University of Mashhad from the Viewpoints of the Students. Sciences and Techniques of Information Management, 5(2): 67-88. https://doi.org/10.22091/stim.2019.1414
[in persian]
Zhu, K. & Kraemer, K.L. (2005). Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry. Information Systems Research. Informs Journal, 16(1): 61-84.
 
 
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