LOJİSTİK FİRMA WEB SİTELERİNİN PERFORMANSLARININ ÇOK KRİTERLİ DEĞERLENDİRİLMESİ

Year 2016, Volume: 31 Issue: 4, 0 - 0, 14.12.2016

Gülçin Büyüközkan Sezin Güleryüz

https://doi.org/10.17341/gazimmfd.278444

Cited By: 11

Abstract

Web siteleri e-iş yapısının kullanıcı ile etkileşiminin gerçekleştiği ara yüzüdür. Bu nedenle web sitelerinin kalitesi müşteri memnuniyeti için esastır. Bu çalışmada lojistik firma web sitelerinin kalite performanslarının ölçümü problemine bir çözüm önerilmektedir. Web sitelerinin kalitesinin ve performansının analiz edilmesinde kullanılan ve herkes tarafından kabul edilen standart bir yapı yoktur. Oysa standart bir değerlendirme yapısı ile başarılı web sitelerinin belirlenmesi daha sağlıklı ve hızlı olacaktır. Bu doğrultuda bu çalışmada lojistik firma web sitelerinin kalitesini daha etkin bir şekilde değerlendirmek amacıyla bulanık mantık temelli bütünleşik çok kriterli karar verme (ÇKKV) yaklaşımı önerilmiştir. Çalışmanın ilk aşamasında detaylı yazın taraması ve uzman görüşleri ile web sitesi değerlendirme kriterleri ve kriter hiyerarşisi belirlenmiştir. Çalışmanın ikinci aşamasında değerlendirme kriter ağırlıkları ÇKKV yöntemlerinden Analitik Hiyerarşi Proses (AHP) tekniğinin bulanık uygulaması ile hesaplanmıştır. Son aşamada ise, Türk lojistik sektöründe öncü sayılan 15 firmanın web sitelerinin performansları bulanık TOPSIS tekniği uygulanarak iyiden kötüye doğru sıralanmıştır. Ayrıca kriter ağırlıklarındaki olası değişimlerin web sitesi sıralamasına etkilerini araştırmak amacıyla duyarlılık analizi yapılmıştır. Bu çalışma araştırmacıların web sitesi değerlendirme problemini teorik olarak daha iyi anlayabilmeleri, firmaların ise daha memnunluk verici web siteleri tasarlayabilmeleri için yazına katkı sağlamaktadır.

Keywords

Web sitesi kalite performansı, Çok kriterli karar verme; Analitik Hiyerarşi Süreci (AHP); TOPSIS; Bulanık mantık.

References

• Bilsel R.U., Büyüközkan G., Ruan D., A Fuzzy Preference-Ranking Model for a Quality Evaluation of Hospital Web Sites, International Journal of Intelligent Systems, 21, 1181-1197, 2006.
• Bose R., Knowledge Management-Enabled Health Care Management Systems: Capabilities, Infrastructure and Decision-Support, Expert Systems with Applications, 24 (1), 59-71, 2003.
• Chang C.C., The E-Hospital Website Measure Architecture Approach: Integrating Internal and External Customers’ Needs in Information Delivery Services, Asian Journal of Health and Information Sciences, 2 (1–4), 116–131, 2007.
• Büyüközkan G., Çifçi G., A Combined Fuzzy AHP and Fuzzy TOPSIS Based Strategic Analysis of Electronic Service Quality in Healthcare Industry, Expert Systems with Applications, 39, 2341- 2354, 2012.
• Akıncılar A., Dağdeviren M., A Hybrid Multi Criteria Decision Making Model to Evaluate Hotel Websites, International Journal of Hospitality Management, 36, 263-271, 2014.
• Chou D.C., Chou A.Y., Healthcare Information Portal: A Web Technology for the Healthcare Community,Technology in Society, 24, 317–330, 2002.
• Gruca T.S., Wakefield D.S., Hospital Web Sites: Promise and Progress,Journal of Business Research, 57, 1021–1025, 2004.
• Hadwich K., Georgi D., Tuzovic S., Büttner J., Bruhn M., Perceived Quality of E-Health Services: A Conceptual Scale Development of E-Health Service Quality Based on the C-OAR-SE Approach,International Journal of Pharmaceutical and Healthcare Marketing, 4 (2), 112–136, 2010.
• Büyüközkan G., Çifçi G., Güleryüz S., Strategic Analysis of Healthcare Service Quality Using Fuzzy AHP Methodology, Expert Systems with Applications, 38, 9407–9424, 2011.
• Provost M., Koompalum D., Doong D., Martin, B.C., The Initial Development of the WebMedQual Scale: Domain Assessment of the Construct of Quality of Health Web Sites,International Journal of Medical Informatics, 75, 42–57, 2006.
• Hsu T.H., Hung L.C., Tang J.W., A Hybrid ANP Evaluation Model for Electronic Service Quality, Applied Soft Computing, 12, 72–81,2012.
• Büyüközkan G., Ruan D., Evaluating Government Websites Based on a Fuzzy Multiple Criteria Decision-Making Approach,International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15 (3), 321–343, 2007.
• Cheng Y.H., Evaluating Web Site Service Quality in Public Transport: Evidence From Taiwan High Speed Rail, Transportation ResearchPart C, 19, 957–974, 2011.
• Saaty T.L.,The Analytic Hierarchy Process: Planning Priority Setting, New York:McGraw Hill, 1980.
• Hwang C., Yoon K., Multiple Attribute Decision Making: Methods and Application, New York: Springer, 1981.
• Zadeh L.A., Fuzzy Set Information and Control, 8 (3), 338–353, 1965.
• Kaya T., Multi Attribute Evaluation of Website Quality in E-business Using an Integrated Fuzzy AHP-TOPSIS Methodlogy, International Journal of Computational Intelligence Systems, 3 (3), 2010.
• Parasuraman A., Zeithaml V. A., Malhotra A., E-S-QUAL: a multiple-item scale for assessing electronic service quality, Journal of Service Research, 7 (3), 213–233, 2005.
• Zeithaml V.A., Parasuraman A., Malhotra A., Service quality delivery through websites: a critical review of extant knowledge, Journal of the Academy of Marketing Science, 30 (4), 362–375, 2002.
• Aladwani A.M., Palvia P.C., Developing and Validating an Instrument for Measuring User-Perceived Web Quality, Information and Management, 39, 467-476, 2002.
• Kim M., Kim J. H., Lennon S. J., Online service attributes available on apparel retail web sites: an E-S-QUAL approach, Managing Service Quality, 16 (1), 51–77, 2006.
• Ho C. I., Lee Y. L., The development of an e-travel service quality scale,Tourism Management, 28 (6), 1434–1449, 2007.
• Barnes S. J., Vidgen R., An integrative approach to the assessment of e-commerce quality, Journal of Electronic Commerce Research, 3 (3), 114–127, 2002.
• Chou W.C., Cheng Y.P., A Hybrid Fuzzy MCDM Approach for Evaluating Website Quality of Professional Accounting Firms, Expert Systems with Applications, 39, 2783–2793, 2012.
• Tsai W.H., Chou W.C., Lai C.W., An Effective Evaluation Model and Improvement Analysis for National Park Websites: A Case Study of Taiwan, Tourism Management, 31, 936–952, 2010.
• Bienstock C.C., Royne M. B., Sherrell D., Stafford, T., F., An expanded model of logistics service quality: Incorporating logistics information technology, International Journal of Production Economics, 113, 205-222, 2008.
• Li Y.N., Tan K.C., Xie M., Measuring Web-Based Service Quality,Total Quality Management, 13 (5), 685–700, 2002.
• Ladhari R., Developing E-Service Quality Scales: A Literature Review, Journalof Retailing and Consumer Services, 17 (6), 464-477, 2010.
• Wolfinbarger M., Gilly M.C., ETailQ: Dimensionalizing.Measuring,and Predicting Etail Quality,Journal of Retailing, 79 (3), 183–198, 2003.
• Grigoroudis E., Litos C., Moustakis V.A., Politis, Y. ve Tsironis. L., The Assessment of User-Perceived Web Quality: Application of a Satisfaction Benchmarking Approach,European Journal of Operational Research, 187, 1346–1357, 2008.
• Iwaarden J., Wiele T., Ball L., Millen R., Perceptions About The Quality of Web Sites: A Survey Amongst Students at Northeastern University and Erasmus University,Information and Management, 41, 947–959, 2004.
• Yang Z., Peterson R.T., Huang L., Taking the Pulse of Internet Pharmacies, Marketing Health Service, 21 (2), 4–10, 2001.
• Ahn T., Ryu S., Han I., The Impact of Web Quality and Playfulness on User Acceptance of Online Retailing, Information and Management, 44, 263–275, 2007.
• Cristobal E., Flavian C., Guinaliu M., Perceived E-Service Quality (PeSQ): Measurement Validation and Effects on Consumer Satisfaction and Web Site Loyalty, Managing Service Quality, 17 (3), 317–340, 2007.
• Collier J.E., Bienstock C.C., Measuring Service Quality in E-Retailing,Journal of Service Research, 8, 260–275, 2006.
• Liu D., Bishu R.R., Najjar L., Using The Analytical Hierarchy Process as a Tool for Assessing Service Quality, Industrial Engineering and Management Systems, 4 (2), 129–135, 2005.
• Dağdeviren M., Yavuz S., Kılınç N., Weapon Selection Using the AHP and TOPSIS Methods Under Fuzzy Environment, Expert Systems with Applications, 36(8), 143–8151, 2009.
• Önüt S., Efendigil T., Kara S.S., A Combined Fuzzy MCDM Approach for Selecting Shopping Center Site: An Example From Istanbul, Turkey, Expert Systems with Applications, 37, 1973–1980, 2010.
• Baloglu S., Pekcan Y. A., The website design and internet site marketing practices of upscale and luxury hotels in Turkey, Tourism Management, 27 (1), 171–176, 2006.
• Doolin B., Burgess L., Cooper J., Evaluating the use of the web for tourism marketing: a case study from New Zealand, Tourism Management, 29 (3),458–468, 2002.
• Law R., A fuzzy multiple criteria decision-making model for evaluating travel websites, Asia Pacific Journal of Tourism Research, 12 (2), 147–159, 2007.
• Lee Y. , Kozar K. A., Investigating the effect of website quality on e-business success: an analytic hierarchy process (AHP) approach, Decision Support Systems, 42 (3), 1383–1401, 2006.
• Wan C. S., The web sites of international tourist hotels and tour wholesalers in Taiwan, Tourism Management, 23 (2), 155–160, 2002.
• Büyüközkan G., Ruan D., Feyzioğlu O., Evaluating e-learning web site quality in fuzzy environment, International Journal of Intelligent Systems, 22 (5), 567–586, 2007.
• Kasli M., Avcikurt C., An investigation to evaluate the websites of tourism departments of universities in Turkey, Journal of Hospitality, Leisure, Sport and Tourism Education, 7 (2), 77–92, 2008.
• Shee D. Y., Wang Y. S., Multi-criteria evaluation of the web-based e-learning system: a methodology based on learner satisfaction and its applications, Computers & Education, 50 (3), 894–905, 2008.
• Tsaur S.H., Chang T.Y., Yen, C.H., The Evaluation of Airline Service Quality by Fuzzy MCDM, Tourism Management, 23, 107–115, 2003.
• Dağdeviren M., Eren T., Tedarikçi firma seçiminde analitik hiyerarşi prosesi ve 0-1 hedef programlama yöntemlerinin kullanılması, Journal of The Faculty of Engineering and Architecture of Gazi University, 16 (2), 41-52, 2001.
• Çifçi, G., Büyüközkan, G., Fuzzy MCDM Approach to Evaluate Green Suppliers, International Journal of Computational Intelligence Systems, 4(5), 894-909, 2011.
• Yurdakul M., İç Y.T., Türk Otomotiv Firmalarinin Performans Ölçümü ve Analizine Yönelik TOPSIS Yöntemini Kullanan Bir Örnek Çalışma, Journal of The Faculty of Engineering and Architecture of Gazi University, 18 (1), 1-18, 2003.
• Awasthi A., Chauhan S.S., Goyal S.K., A fuzzy multicriteria approach for evaluating environmental performance of suppliers, International Journal of Production Economics, 126, 370–378, 2010.
• Yüksel M., Performans değerlendirmesine çok ölçütlü bütünleşik bir yaklaşım, Journal of The Faculty of Engineering and Architecture of Gazi University, 30 (3), 429-441, 2015.
• Şenol M.B., Dağdeviren M., Kurt M., Hava aracI kokpit arayüz değerlendirmesi için çok kriterli bir yaklaşim, Journal of The Faculty of Engineering and Architecture of Gazi University, 28 (4), 685-693, 2013.
• Kabak M., Uyar Ö. O., Lojistik sektöründe ağır ticari araç seçimi problemine çok ölçütlü bir yaklaşım, Journal of The Faculty of Engineering and Architecture of Gazi University, 28 (1), 115-125,2013.
• Üstün A.K.,Anagün A.S., İstanbul’un ilçelerinin afet yönetimi açısından önem ağırlıklarının analitik hiyerarşi süreci kullanılarak belirlenmesi, Journal of The Faculty of Engineering and Architecture of Gazi University, 31 (1), 119-128, 2016.
• Can Ş.,Arıkan F., Bir savunma sanayi firmasında çok kriterli alt yüklenici seçim problemi ve çözümü, Journal of The Faculty of Engineering and Architecture of Gazi University, 29 (4), 645-654, 2014.
• Kul Y.,Şeker A., Yurdakul M., Bulanık çok kriterli karar verme yöntemlerinin alışılmamış imalat yöntemlerinin seçiminde kullanılması, Journal of The Faculty of Engineering and Architecture of Gazi University, 29 (3), 589-603, 2014.
• Büyüközkan G., Görener, A., Evaluation of product development partners using an integrated AHP-VIKOR model, Kybernetes, 44 (2), 220-237, 2015.
• Dağdeviren M., Akay D., M. Kurt, İş değerlendirme sürecinde analitik hiyerarşi prosesi ve uygulaması, Journal of The Faculty of Engineering and Architecture of Gazi University, 19 (2), 131-138, 2004.
• Büyüközkan G., Determining the mobile commerce user requirements using an analytic approach, Computer Standards & Interfaces, 31(1), 144-152, 2009.
• Chamodrakas I., Batis D., Martakos D., Supplier Selection in Electronic Marketplaces Using Satisficing and Fuzzy AHP, Expert Systems with Applications, 37, 490–498, 2010.
• Büyüközkan G., Güleryüz S., A new GDM based AHP framework with linguistic interval fuzzy preference relations for renewable energy planning, Journal of Intelligent & Fuzzy Systems, 27(6), 3181-3195, 2014.
• Aksakal E., Dağdeviren M., Yetenek yönetimi temelli personel atama modeli ve çözüm önerisi, Journal of The Faculty of Engineering and Architecture of Gazi University, 30 (2), 249-262, 2015.
• Dağdeviren M., Bulanik analitik hiyerarşi prosesi ile personel seçimi ve bir uygulama, Journal of The Faculty of Engineering and Architecture of Gazi University, 22 (4), 791-799, 2007.
• Chen S.J., Hwang C.L., In Fuzzy Multiple Attribute Decision-Making Methods and Application, Lecture Notes in Economics and Mathematical Systems,New York: Springer, 1992.
• Kılıç O.,Çerçioğlu H., TCDD iltisak hatlari projelerinin değerlendirilmesinde uzlaşık çok ölçütlü karar verme yöntemleri uygulaması, Journal of The Faculty of Engineering and Architecture of Gazi University, 31 (1), 211-220, 2016.
• Kılıç Delice E., Havayolu firmaları seçimi için bulanık çok kriterli bir model, Journal of The Faculty of Engineering and Architecture of Gazi University, 31 (2), 263-276, 2016.
• İç Y.T.,Yıldırım S., Çok kriterli karar verme yöntemleriyle birlikte taguchi yöntemini kullanarak bir ürünün tasarımının geliştirilmesi, Journal of The Faculty of Engineering and Architecture of Gazi University, 27 (2),447-458, 2012.
• İç Y.T., Tekin M., Pamukoğlu F.Z., Yıldırım S.E., Kurumsal firmalar için bir finansal performans karşilaştirma modelinin geliştirilmesi, Journal of The Faculty of Engineering and Architecture of Gazi University, 30 (1), 71-85, 2015.
• Chen C.T., Extensions of the TOPSIS for Group Decision-Making Under Fuzzy Environment,Fuzzy Sets and Systems, 114, 1–9, 2000.
• Lima-Junior F.R., Carpinetti L. C. R., Combining SCOR model and fuzzy TOPSIS for supplier evaluation and management, International Journal of Production Economics, 174, 128–141, 2016.
• Chen C.-T., Lin C.-T., Huang S.F., A fuzzy approach for supplier evaluation and selection in supply chain management, International Journal of Production Economics, 102, 289–301, 2006.