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MULTI-CRITERIA ANALYSIS OF WEBSITE QUALITY ASSESSMENT BASED ON ISO 25010 QUALITY MODEL OF TECHNOLOGY STORES: THE CASE OF TURKEY

Yıl 2020, Prof. Dr. Talha Ustasüleyman Özel Sayısı, 57 - 76, 20.02.2020
https://doi.org/10.18092/ulikidince.557263

Öz

Websites
that have increased in usage rate and become an integral part of life in recent
years are kind of channel where businesses offer information, products, and
services. Businesses that want to ensure sustainability and move one step ahead
of their competitors in this channel should pay attention to their website
quality. From this point of view, the evaluation of the website quality has
become an important issue both in the academic environment and in the private
sector. However, although there have been many studies in the literature
regarding the website quality evaluation, no study which evaluates website
quality of technology stores has been found. Therefore this study aims to fill this gap
in the literature. Within this context, a new quality model with multiple
criteria specific to the application area has been developed based on the ISO
25010 quality model because it is both a general quality model and developed by
a reliable organization. The new model has been used to evaluate website
quality of six alternative technology stores operating in Turkey.

Accordingly, the fuzzy version of the Analytic Hierarchy Process (AHP), which
is one of the multi-criteria decision making (MCDM) methods, has been used for
both determining the importance of the criteria and evaluating and ranking the
alternatives. In addition, a sensitivity analysis has been conducted to
investigate the impact of potential changes in criteria weights of websites on
rankings. This study contributes to the literature theoretically by providing a
new quality evaluation model in the website quality assessment problem in terms
of the researcher, and in practical terms, it is a guide to designing websites
so that they can provide better quality service to customers of technology
stores.

Kaynakça

  • Adali, E. A.ve Isik, A. T. (2017). Ranking Web Design Firms with the ORESTE Method/Web Tasarim Firmalarinin Oreste Yöntemi ile Siralanmasi. Ege Akademik Bakis, 17(2), 243.
  • Agrawal, A., Shah, P. ve Wadhwa, V. (2007). EGOSQ-Users’ Assessment of E-Governance Online-Services: A Quality Measurement Instrumentation. In International Conference on E-governance, December, Hydrabad, India.
  • Al-Safadi, L. A. ve Garcia, R. A. (2012). ISO9126 Based Quality Model for Evaluating B2C e-Commerce Applications, A Saudi Market Perspective. IJCIT, 3(2).
  • Apostolou, G.ve Economides, A. A. (2008). Airlines Websites Evaluation around the World. The Open Knowlege Society. A Computer Science and Information Systems Manifesto, 611-617.
  • Ataloglou, M. P. ve Economides, A. A. (2009). Evaluating European Ministries' Websites. International Journal of Public Information Systems, 5(3).
  • Aydın, A. O., Kutay, F., Gökçen, H. ve Güngör, A. (2006). ISO/IEC 9126 Standardında Anadilin Kullanımı. Journal of Yasar University, 1(3), 221-237.
  • Behkamal, B., Kahani, M. ve Akbari, M. K. (2009). Customizing ISO 9126 Quality Model for Evaluation of B2B Applications. Information and Software Technology, 51(3), 599-609.
  • Berry, L. L. ve Parasuraman, A. (1991). Marketing Services – Competing through Quality. New York: The Free Press.
  • Biscoglio, I., Fusani, M., Lami, G. ve Trentanni, G. (2007). Establishing a Quality-Model Based Evaluation Process for Websites. In Proceedings of the 7th International Conference on Web Engineering, ICWE’07, 344-351.
  • Brajnik, G. (2001). Towards Valid Quality Models for Websites. 7th Conference on Human Factors and the Web. Madison, Wisconsin.
  • Büyüközkan, G. ve Çifçi, G. (2012). A Combined Fuzzy AHP and Fuzzy TOPSIS Based Strategic Analysis of Electronic Service Quality in Healthcare Industry. Expert Systems with Applications, 39(3), 2341-2354.
  • Büyüközkan, G. ve Ruan, D. (2007). Evaluating Government Websites Based on a Fuzzy Multiple Criteria Decision-Making Approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(03), 321-343.
  • Büyüközkan, G., Ruan, D. ve Feyzioğlu, O. (2007). Evaluating E‐Learning Web Site Quality in a Fuzzy Environment. International Journal of Intelligent Systems, 22(5), 567-586.
  • Cao, M., Zhang, Q.ve Seydel, J. (2005). B2C E-Commerce Web Site Quality: An Empirical Examination. Industrial Management & Data Systems, 105(5), 645-661.
  • Cebi, S. (2013a). Determining Importance Degrees of Website Design Parameters Based on Interactions and Types of Websites. Decision Support Systems, 54(2), 1030-1043.
  • Cebi, S. (2013b). A Quality Evaluation Model for the Design Quality of Online Shopping Websites. Electronic Commerce Research and Applications, 12(2), 124-135.
  • Chang, C. W., Wu, C. R., Lin, C. T. ve Chen, H. C. (2007). An Application of AHP and Sensitivity Analysis for Selecting the Best Slicing Machine. Computers & Industrial Engineering, 52(2), 296-307.
  • Chang, D. Y. (1996). Applications of the Extent Analysis Method on Fuzzy AHP. European Journal Of Operational Research, 95(3), 649-655.
  • Chen, C. T. (2000). Extensions of the TOPSIS for Group Decision-Making Under Fuzzy Environment. Fuzzy Sets and Systems, 114(1), 1-9.
  • Chen, C.T., Lin, C. T. ve Huang, S. F. (2006). A Fuzzy Approach for Supplier Evaluation and Selection In Supply Chain Management. International Journal of Production Economics, 102, 289–301.
  • Chou, W. C. ve 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.
  • Chua, B. B. ve Dyson, L. E. (2004). Applying the ISO 9126 Model to the Evaluation af an E-Learning System. In Proceedings of 21th ASCILITE conference, 5-8.
  • Cox, J. ve Dale, B. G. (2002). Key Quality Factors In Web Site Design and Use: An Examination. International Journal of Quality & Reliability Management, 19(7), 862-888.
  • Cristobal, E., Flavian, C. ve Guinaliu, M. (2007). Perceived e-Service Quality (PeSQ): Measurement Validation and Effects on Consumer Satisfaction and Web Site Loyalty. Managing Science Quality, 3(17), 317-340.
  • Deng, H. (1999). Multicriteria Analysis with Fuzzy Pairwise Comparison. International Journal Of Approximate Reasoning, 21(3), 215-231.
  • Devi, K. ve Sharma, A. (2016). Framework for Evaluation of Academic Website. International Journal of Computer Techniques, 3(2), 234-9.
  • Ding, D. X., Hu, P. J. H. ve Sheng, O. R. L. (2011). e-SELFQUAL: A Scale For Measuring Online Self-Service Quality. Journal of Business Research, 64(5), 508-515.
  • 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.
  • Ertuğrul, İ. ve Karakaşoğlu, N. (2009). Performance Evaluation of Turkish Cement Firms with Fuzzy Analytic Hierarchy Process and TOPSIS Methods. Expert Systems with Applications, 36(1), 702-715.
  • Facchinetti, G. (2002). Ranking Functions Induced by Weighted Average of Fuzzy Numbers. Fuzzy Optimization and Decision Making, 1(3), 313-327.
  • Fahmy, S., Haslinda, N., Roslina, W. ve Fariha, Z. (2012). Evaluating the Quality of Software in E-Book Using the ISO 9126 Model. International Journal of Control and Automation, 5(2), 115-122.
  • Fasanghari, M., Mohamedpour, M. ve Mohamedpour, M. A. (2009). A Novel Method Combining ORESTE, Fuzzy Set Theory, and TOPSIS Method for Ranking the Information and Communication Technology Research Centers of Iran. In Information Technology: New Generations, ITNG'09, Sixth International Conference, IEEE, 165-170.
  • Fülöp, J. (2005). Introduction to Decision Making Methods. In BDEI-3 Workshop, Washington.
  • Garvin, A. G. (1987). Competing on the Eight Dimensions of Quality. Harvard Business Review, 65(6),101-9.
  • GonzáLez, F. M. ve Palacios, T. B. (2004). Quantitative Evaluation of Commercial Web Sites: An Empirical Study of Spanish Firms. International journal of information management, 24(4), 313-328.
  • Gonzalez, M. E., Quesada, G., Davis, J. ve Mora-Monge, C. (2015). Application of Quality Management Tools in the Evaluation of Websites: Tbe Case of Sports Organizations. The Quality Management Journal, 22(1), 30.
  • Gök, A. C., & Perçin, S. (2016). Elektronik Alışveriş (E-alışveriş) Sitelerinin E-hizmet Kalitesi Açısından Değerlendirilmesinde DEMATEL-AAS-VIKOR Yaklaşımı. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 16(2), 131-144.
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TEKNOLOJİ MAĞAZALARININ ISO 25010 KALİTE MODELİNE DAYALI WEBSİTESİ KALİTE DEĞERLENDİRMESİNİN ÇOK KRİTERLİ ANALİZİ: TÜRKİYE ÖRNEĞİ

Yıl 2020, Prof. Dr. Talha Ustasüleyman Özel Sayısı, 57 - 76, 20.02.2020
https://doi.org/10.18092/ulikidince.557263

Öz

Son yıllarda kullanım oranı artan ve hayatın ayrılmaz bir parçası
haline gelen internet siteleri, işletmelerin bilgi, ürün ve hizmetlerini
sunduğu bir mecradır. Bu mecrada sürdürülebilirliğini sağlamak ve rakiplerinden
bir adım öne geçmek isteyen işletmelerin, internet sitesi kalitelerine önem
vermeleri gerekmektedir. Bu bakış açısıyla, internet sitelerinin kalitesinin
değerlendirilmesi hem akademik çevrelerde hem de özel sektörde üzerinde önemle
durulan bir konu haline gelmiştir. Bununla birlikte, literatürde internet
sitesi kalitesi değerlendirilmesi üzerine birçok çalışma olmasına rağmen
teknoloji mağazalarının internet sitelerinin kalitesinin değerlendirilmesine
yönelik herhangi bir çalışmaya rastlanılmamıştır. Dolayısıyla bu çalışma ile
literatüdeki belirtilen eksikliğin giderilmesi amaçlanmıştır. Bu kapsamda,
farklı kalite modelleri arasından, hem genel bir model olması hem de güvenilir
bir kuruluş tarafından oluşturulmuş olması nedeniyle ISO 25010 kalite modeli
çerçevesinde, uygulama alanına özgü çok kriterli yeni bir kalite modeli
geliştirilmiştir. Geliştirilen kalite modeli Türkiye’de faaliyet gösteren altı
alternatif teknoloji mağazasının internet sitesi kalitelerinin
değerlendirilmesi amacıyla kullanılmıştır. Bu doğrultuda, hem kriterlerin önem
derecelerinin belirlenmesinde hem de alternatiflerin değerlendirilmesinde
modelin yapısı gereği çok kriterli karar verme (ÇKKV) yöntemlerinden biri olan
Analitik Hiyerarşi Prosesi (AHP) yönteminin bulanık versiyonu kullanılmıştır.
Ayrıca kriter ağırlıklarındaki olası değişimlerin internet sitelerinin sıralamasına
etkilerini araştırmak amacıyla duyarlılık analizi yapılmıştır. Bu çalışma
teorik açıdan araştırmacılara internet sitesi kalite değerlendirme probleminde
yeni bir kalite değerlendirme modeli sunması, pratik açıdan teknoloji
mağazalarına kullanıcılarına daha kaliteli hizmet sunabilmeleri için internet
sitelerini tasarlamalarında yol gösterici olması bakımından yazına katkı
sağlamaktadır.

Kaynakça

  • Adali, E. A.ve Isik, A. T. (2017). Ranking Web Design Firms with the ORESTE Method/Web Tasarim Firmalarinin Oreste Yöntemi ile Siralanmasi. Ege Akademik Bakis, 17(2), 243.
  • Agrawal, A., Shah, P. ve Wadhwa, V. (2007). EGOSQ-Users’ Assessment of E-Governance Online-Services: A Quality Measurement Instrumentation. In International Conference on E-governance, December, Hydrabad, India.
  • Al-Safadi, L. A. ve Garcia, R. A. (2012). ISO9126 Based Quality Model for Evaluating B2C e-Commerce Applications, A Saudi Market Perspective. IJCIT, 3(2).
  • Apostolou, G.ve Economides, A. A. (2008). Airlines Websites Evaluation around the World. The Open Knowlege Society. A Computer Science and Information Systems Manifesto, 611-617.
  • Ataloglou, M. P. ve Economides, A. A. (2009). Evaluating European Ministries' Websites. International Journal of Public Information Systems, 5(3).
  • Aydın, A. O., Kutay, F., Gökçen, H. ve Güngör, A. (2006). ISO/IEC 9126 Standardında Anadilin Kullanımı. Journal of Yasar University, 1(3), 221-237.
  • Behkamal, B., Kahani, M. ve Akbari, M. K. (2009). Customizing ISO 9126 Quality Model for Evaluation of B2B Applications. Information and Software Technology, 51(3), 599-609.
  • Berry, L. L. ve Parasuraman, A. (1991). Marketing Services – Competing through Quality. New York: The Free Press.
  • Biscoglio, I., Fusani, M., Lami, G. ve Trentanni, G. (2007). Establishing a Quality-Model Based Evaluation Process for Websites. In Proceedings of the 7th International Conference on Web Engineering, ICWE’07, 344-351.
  • Brajnik, G. (2001). Towards Valid Quality Models for Websites. 7th Conference on Human Factors and the Web. Madison, Wisconsin.
  • Büyüközkan, G. ve Çifçi, G. (2012). A Combined Fuzzy AHP and Fuzzy TOPSIS Based Strategic Analysis of Electronic Service Quality in Healthcare Industry. Expert Systems with Applications, 39(3), 2341-2354.
  • Büyüközkan, G. ve Ruan, D. (2007). Evaluating Government Websites Based on a Fuzzy Multiple Criteria Decision-Making Approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(03), 321-343.
  • Büyüközkan, G., Ruan, D. ve Feyzioğlu, O. (2007). Evaluating E‐Learning Web Site Quality in a Fuzzy Environment. International Journal of Intelligent Systems, 22(5), 567-586.
  • Cao, M., Zhang, Q.ve Seydel, J. (2005). B2C E-Commerce Web Site Quality: An Empirical Examination. Industrial Management & Data Systems, 105(5), 645-661.
  • Cebi, S. (2013a). Determining Importance Degrees of Website Design Parameters Based on Interactions and Types of Websites. Decision Support Systems, 54(2), 1030-1043.
  • Cebi, S. (2013b). A Quality Evaluation Model for the Design Quality of Online Shopping Websites. Electronic Commerce Research and Applications, 12(2), 124-135.
  • Chang, C. W., Wu, C. R., Lin, C. T. ve Chen, H. C. (2007). An Application of AHP and Sensitivity Analysis for Selecting the Best Slicing Machine. Computers & Industrial Engineering, 52(2), 296-307.
  • Chang, D. Y. (1996). Applications of the Extent Analysis Method on Fuzzy AHP. European Journal Of Operational Research, 95(3), 649-655.
  • Chen, C. T. (2000). Extensions of the TOPSIS for Group Decision-Making Under Fuzzy Environment. Fuzzy Sets and Systems, 114(1), 1-9.
  • Chen, C.T., Lin, C. T. ve Huang, S. F. (2006). A Fuzzy Approach for Supplier Evaluation and Selection In Supply Chain Management. International Journal of Production Economics, 102, 289–301.
  • Chou, W. C. ve 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.
  • Chua, B. B. ve Dyson, L. E. (2004). Applying the ISO 9126 Model to the Evaluation af an E-Learning System. In Proceedings of 21th ASCILITE conference, 5-8.
  • Cox, J. ve Dale, B. G. (2002). Key Quality Factors In Web Site Design and Use: An Examination. International Journal of Quality & Reliability Management, 19(7), 862-888.
  • Cristobal, E., Flavian, C. ve Guinaliu, M. (2007). Perceived e-Service Quality (PeSQ): Measurement Validation and Effects on Consumer Satisfaction and Web Site Loyalty. Managing Science Quality, 3(17), 317-340.
  • Deng, H. (1999). Multicriteria Analysis with Fuzzy Pairwise Comparison. International Journal Of Approximate Reasoning, 21(3), 215-231.
  • Devi, K. ve Sharma, A. (2016). Framework for Evaluation of Academic Website. International Journal of Computer Techniques, 3(2), 234-9.
  • Ding, D. X., Hu, P. J. H. ve Sheng, O. R. L. (2011). e-SELFQUAL: A Scale For Measuring Online Self-Service Quality. Journal of Business Research, 64(5), 508-515.
  • 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.
  • Ertuğrul, İ. ve Karakaşoğlu, N. (2009). Performance Evaluation of Turkish Cement Firms with Fuzzy Analytic Hierarchy Process and TOPSIS Methods. Expert Systems with Applications, 36(1), 702-715.
  • Facchinetti, G. (2002). Ranking Functions Induced by Weighted Average of Fuzzy Numbers. Fuzzy Optimization and Decision Making, 1(3), 313-327.
  • Fahmy, S., Haslinda, N., Roslina, W. ve Fariha, Z. (2012). Evaluating the Quality of Software in E-Book Using the ISO 9126 Model. International Journal of Control and Automation, 5(2), 115-122.
  • Fasanghari, M., Mohamedpour, M. ve Mohamedpour, M. A. (2009). A Novel Method Combining ORESTE, Fuzzy Set Theory, and TOPSIS Method for Ranking the Information and Communication Technology Research Centers of Iran. In Information Technology: New Generations, ITNG'09, Sixth International Conference, IEEE, 165-170.
  • Fülöp, J. (2005). Introduction to Decision Making Methods. In BDEI-3 Workshop, Washington.
  • Garvin, A. G. (1987). Competing on the Eight Dimensions of Quality. Harvard Business Review, 65(6),101-9.
  • GonzáLez, F. M. ve Palacios, T. B. (2004). Quantitative Evaluation of Commercial Web Sites: An Empirical Study of Spanish Firms. International journal of information management, 24(4), 313-328.
  • Gonzalez, M. E., Quesada, G., Davis, J. ve Mora-Monge, C. (2015). Application of Quality Management Tools in the Evaluation of Websites: Tbe Case of Sports Organizations. The Quality Management Journal, 22(1), 30.
  • Gök, A. C., & Perçin, S. (2016). Elektronik Alışveriş (E-alışveriş) Sitelerinin E-hizmet Kalitesi Açısından Değerlendirilmesinde DEMATEL-AAS-VIKOR Yaklaşımı. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 16(2), 131-144.
  • Hasan, L. ve Abuelrub, E. (2008). Assessing the quality of Web Sites. INFOCOMP, 7(4), 11-20.
  • Hasan, L. ve Abuelrub, E. (2011). Assessing the Quality Of Web Sites. Applied Computing and Informatics, 9(1), 11-29.
  • Huang, T. C. K. ve Huang, C. H. (2010). An Integrated Decision Model for Evaluating Educational Web Sites from the Fuzzy Subjective and Objective Perspectives. Computers & Education, 55(2), 616-629.
  • ISO/IEC 25010:2011: System and Software Engineering – Systems and Software Quality Requirements and Evaluation (SQuaRE) – System and Software Quality Models. ISO Copyright Office, Geneva, March 2011.
  • ISO/IEC 9126-1:2001: Software Engineering – Product Quality – Part 1: Quality Model. ISO Copyright Office, Geneva, June 2001.
  • Jafarnejad, A. ve Ajalli, M. (2014). A Fuzzy AHP Approach for Ranking the Application Barriers of Electronic Government in Iran. Social and Basic Sciences Research Review, 2(2), 67-84.
  • Janošcová, R. (2012). Evaluation of Software Quality. IMEA, 24-29.
  • Jeddi, F. R., Gilasi, H. ve Khademi, S. (2017). Evaluation Models and Criteria of the Quality of Hospital Websites: A Systematic Review Study. Electronic Physician, 9(2), 3786.
  • Kahraman, C., Cebeci, U., Ruan, D. (2004). Multi-attribute Comparison of Catering Service Companies Using Fuzzy AHP: The Case of Turkey. International Journal of Production Economics, 87(2), 171-184.
  • Karakaşoğlu, N. (2008). Bulanık Çok Kriterli Karar Verme Yöntemleri ve Uygulama. Yüksek Lisans Tezi, Pamukkale Üniversitesi, Denizli.
  • 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.
  • Kaya, T. ve Kahraman, C. (2011). A Fuzzy Approach to E-Banking Website Quality Assessment Based on an Integrated AHP-ELECTRE Method. Technological and Economic Development of Economy, 17(2), 313-334.
  • Kim, S. ve Stoel, L. (2004). Apparel Retailers: Website Quality Dimensions and Satisfaction. Journal of Retailing and Consumer Services, 11(2), 109-117.
  • Klir, G. ve Yuan, B. (1995). Fuzzy Sets and Fuzzy Logic (Vol. 4). New Jersey: Prentice hall.
  • Kuo, R. J., Lee, L. Y. ve Hu, T. L. (2010). Developing a Supplier Selection System through Integrating Fuzzy AHP and Fuzzy DEA: A Case Study on an Auto Lighting System Company in Taiwan. Production Planning and Control, 21(5), 468-484.
  • Kutlu, H. K. (2006). İnternet Sayfa Tasarımının Kullanıcılar Üzerindeki Etkisi. Yüksek Lisans Tezi, Ege Üniversitesi, Sosyal Bilimler Enstitüsü, İzmir.
  • Lee, K. W., Tsai, M. T. ve Lanting, M. C. L. (2011). From Marketplace to Marketspace: Investigating the Consumer Switch to Online Banking. Electronic Commerce Research and Applications, 10(1), 115-125.
  • Lee, Y. ve Kozar, K. A. (2006). Investigating the Effect of Website Quality on E-Business Success: An Analytic Hierarchy Process (AHP) Approach. Decision support systems, 42(3), 1383-1401.
  • Lew, P., Olsina, L. ve Zhang, L. (2010). Quality, Quality in Use, Actual Usability and User Experience as Key Drivers for Web Application Evaluation. Web Engineering, 218-232.
  • Li, W. ve Henry, S. (1993). Object-Oriented Metrics that Predict Maintainability. Journal of systems and software, 23(2), 111-122.
  • Liang, S. K. ve Lien, C. T. (2006). Selecting the Optimal ERP Software by Combining the ISO 9126 Standard and Fuzzy AHP Approach. Contemporary Management Research, 3(1), 23.
  • Madu, C. N. ve Madu, A. A. (2002). Dimensions of E-Quality. International Journal of Quality & Reliability Management, 19(3), 246-258.
  • Mebrate, T. W. (2010). A Framework for Evaluating Academic Website’s Quality from Students’ Perspective. Master Thesis, Delft University of Technology, Delft.
  • Micali, F. ve Cimino, S. (2008). Web Q-Model: A New Approach to The Quality. In Proceedings of the 26th Annual CHI Conference on Human Factors in Computing Systems. Florence, Italy.
  • Olsina, L., Covella, G. ve Rossi, G. (2006). Web Quality, in Web Engineering. New York: Springer.
  • Padayachee, I., Kotze, P. ve van Der Merwe, A. (2010). ISO 9126 External Systems Quality Characteristics, Sub-Characteristics and Domain Specific Criteria for Evaluating E-Learning Systems. The Southern African Computer Lecturers’ Association, University of Pretoria. South Africa.
  • Paksoy, T., Pehlivan, N. Y. ve Özceylan, E. (2013). Bulanık Küme Teorisi. Ankara: Nobel Yayınları.
  • Rio, A. ve Abreu, F. B. (2010). Websites Quality: Does it Depend on the Application Domain?. In Quality of Information and Communications Technology (QUATIC), Seventh International Conference, IEEE. 493-498.
  • Roy, S., Pattnaik, P. ve Mall, R. (2014). A Quantitative Approach to Evaluate Usability of Academic Websites Based on Human Perception. Egyptian Informatics Journal, 15 (3), 159-167.
  • Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning Priority Setting, Resource Allocation New York: MacGraw-Hill, International Book Company.
  • Shawgi, E. ve Noureldien, N. A. (2015). Usability Measurement Model (Umm): A New Model for Measuring Websites Usability. International Journal of Information Science, 5(1), 5-13.
  • Signore, O. (2005). A Comprehensive Model for Web Sites Quality. In Web Site Evolution, Seventh IEEE International Symposium, IEEE. 30-36.
  • Slack, N., Chambers, S. ve Johnston, R. (2010). Operations Management. England: Pearson Education Limited.
  • Sugiyanto, Rochimah, S. ve Sarwosri, (2016). The Improvement of Software Quality Model for Academic Websites Based on Multi-Perspective Approach. Journal of Theoretical and Applied Information Technology, 86(3), 464.
  • Suwawi, D. D. J., Darwiyanto, E. ve Rochmani, M. (2015). Evaluation of Academic Website Using ISO/IEC 9126. In Information and Communication Technology (ICoICT), 3rd International Conference, IEEE, 222-227.
  • Teo, H. H., Oh, L. B., Liu, C. ve Wei, K. K. (2003). An Empirical Study of The Effects Of Interactivity on Web User Attitude. International Journal of Human-Computer Studies, 58(3), 281-305.
  • Thowfeek, M. H., Salam, M. N. A. (2014). Students’ Assessment on the Usability of E-leaming Websites. Procedia-Social and Behavioral Sciences, 141, 916-922.
  • Tsai, W. H., Chou, W. C. ve Lai, C. W. (2010). An Effective Evaluation Model and Improvement Analysis for National Park Websites: A Case Study of Taiwan. Tourism Management, 31(6), 936-952.
  • Vaidya, O. S. ve Kumar, S. (2006). Analytic Hierarchy Process: An Overview of Applications. European Journal Of Operational Research, 169(1), 1-29.
  • Wang, X. ve Triantaphyllou, E. (2008). Ranking Irregularities when Evaluating Alternatives by Using Some ELECTRE Methods. Omega, 36(1), 45-63.
  • Wu, C. R., Lin, C. T. ve Chen, H. C. (2007). Optimal Selection of Location for Taiwanese Hospitals to Ensure a Competitive Advantage by Using the Analytic Hierarchy Process and Sensitivity Analysis. Building and Environment, 42(3), 1431-1444.
  • Yalçın, N. ve Şimşek, B. (2017). Applying ISO 9126 Quality Model to Evaluate the Website Quality of Turkish Mobile Telecommunication Companies. 6th AGP International Humanities and Social Sciences Conference. Barcelona, 169-178.
  • Yang, T., Chen, M. C. ve Hung, C. C. (2007). Multiple Attribute Decision-Making Methods for the Dynamic Operator Allocation Problem. Mathematics and Computers In Simulation, 73(5), 285-299.
  • Zadeh, L. A. (1965). Fuzzy Sets. Information And Control, 8(3), 338-353.
  • Zafiropoulos, C. ve Vrana, V. (2006). A Framework for the Evaluation of Hotel Websites: The Case of Greece. Information Technology & Tourism, 8(3-1), 239-254.
  • http://www.tuik.gov.tr/HbPrint.do?id=24862 (Erişim Tarihi: 06.06.2018)
  • http://www.nielsen.com/us/en/insights/news/2013/digital-influence-how-the-internet-affects-new-product-purchase-decisions.html (Erişim Tarihi: 22.09.2017)
  • https://www.webbyawards.com/judging-criteria/#websites (Erişim Tarihi: 30.09.2017)
Toplam 85 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm MAKALELER
Yazarlar

Neşe Yalçın Bu kişi benim

Burcu Şimşek Yağlı

Yayımlanma Tarihi 20 Şubat 2020
Yayımlandığı Sayı Yıl 2020 Prof. Dr. Talha Ustasüleyman Özel Sayısı

Kaynak Göster

APA Yalçın, N., & Şimşek Yağlı, B. (2020). TEKNOLOJİ MAĞAZALARININ ISO 25010 KALİTE MODELİNE DAYALI WEBSİTESİ KALİTE DEĞERLENDİRMESİNİN ÇOK KRİTERLİ ANALİZİ: TÜRKİYE ÖRNEĞİ. Uluslararası İktisadi Ve İdari İncelemeler Dergisi57-76. https://doi.org/10.18092/ulikidince.557263


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