E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ

Pelin ÇELİK, (Bayburt Üniversitesi, Yönetim Bilişim Sistemleri Bölümü, Bayburt, Türkiye)
Selçuk PERÇİN (Karadeniz Teknik Üniversitesi, İşletme Bölümü, Trabzon, Türkiye)
Uluslararası İktisadi ve İdari İncelemeler Dergisi
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Yıl: 2020 Cilt: 0 Sayı: Talha Özel Sayısı Sayfa Aralığı: 77 - 98 Metin Dili: Türkçe DOI: 10.18092/ulikidince.566172 İndeks Tarihi: 22-11-2020

E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ

Öz:
Bilişim ve eğitim alanında yaşanan gelişmelerle karşımıza çıkan e-öğrenme, öğrenci merkezli, birçok avantajıbulunan, çağdaş bir eğitim ve öğretim sistemi olarak tanımlanabilmektedir. Günümüzde e-öğrenme sistemiülkemizdeki birçok üniversite tarafından kullanılmaktadır ve bu durum beraberinde rekabeti getirmiştir. Eöğrenme sisteminde başarılı olunması ve memnuniyetin sağlanması için e-öğrenme öğrenci gereksinimleri veteknik gereksinimlerin karşılanması gerekmektedir. E-öğrenme sisteminin öneminden hareketle bu çalışmadaBilim, Sanayi ve Teknoloji Bakanlığı’nın Üniversitelerarası Yenilikçilik ve Girişimcilik Endeksi sıralamasına girenve uzaktan eğitim hizmeti veren otuz devlet üniversitesi e-hizmet kalitesi bakımından değerlendirilmiştir.Uygulamada Kalite Fonksiyon Göçerimi, Bulanık Doğrusal Regresyon, 0-1 Hedef Programlama ve EntropiAğırlıklı Uzaklık Metriği yöntemleri kullanılmıştır. Uygulama sonucunda söz konusu yöntemler kullanılaraküniversitelerin sıralanması sağlanmıştır. Modelin üniversitelerin e-öğrenme sistemlerinin performansdeğerlendirme konusunda kullanılabilecek etkin bir karar verme aracı olması ve eğitim sektörüne katkıdabulunması beklenmektedir.
Anahtar Kelime:

EVALUATING E-SERVICE QUALITY: CASE OF UNIVERSITIES PROVIDING DISTANCE LEARNING SERVICE

Öz:
The developments in the field of information and education ascertained e-learning which can be defined as a contemporary training system with many advantages like being student centered. Today, the e-learning system is being used by many universities in our country and that has brought competition. To be successful in e-learning system and to ensure satisfaction, student needs and technical requirements must be provided. Taking the importance of the e-learning system into consideration, thirty public universities that ranked in the order of the Innovation and Entrepreneurship Index of the Ministry of Science, Industry and Technology in this study were evaluated for e-service quality. In application, Quality Function Deployment, Fuzzy Linear Regression, 0-1 Goal Programming and Entropy–Weighted Distance Metric methods are used. As a result of the application, the alignment of the universities was provided by using the mentioned methods. The model is expected to be an effective decision making tool for performance evaluation of universities and to make contribution to education sector.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • Alsabawy, A. Y., Cater-Steel, A. ve Soar, J.(2011). Measuring E-Learning System Success. Pacific Asia Conference on Information Systems (PACIS), 1 – 15.
  • Alptekin, S. E. ve Karsak, E. E. (2011). An Integrated Decision Framework for Evaluating and Selecting E-Learning Products. Applied Soft Computing, 11, 2990 – 2998.
  • Al-Mushasha, N. B. ve Nassuora, A. B. (2012). Factors Determining E-Learning Service Quality in Jordanian Higher Education Environment. Journal of Applied Sciences, 12 (14), 1474 – 1480.
  • Arbaugh, J. B. (2000). Virtual Classroom Characteristics and Student Satisfaction with InternetBased MBA Couses. Journal of Management Education, 24, 32 – 54.
  • Arbaugh, J. B. ve Duray Rebecca (2002). Technological and Structural Characteristics, Student Learning and Satisfaction with Web-Based Courses: An Exploratory Study of Two On-Line MBA Program. Management Learning, 33 (3), 331 – 347.
  • Beam, P. ve Cameron, B. (1998). But What Did We Learn…? Evaluating Online Learning as a Process. Proceedings on the Sixteenth Annual Conference on Computer Documentation, Eylül 24- 26, Kanada, 258 – 264.
  • Carshwell, L. (1998). The Virtual University: Toward an Internet Paradigm?,. Proceedings of 6th Annual Conference on the Teaching of Computing/ 3rd Annual Conference on Integrating Technology into Computer Science Education on Changing the Delivery of Computer Science Education, 30 (3), 46 – 50.
  • Chachi, J., Taheri, S. M. ve Arghami, N. R. (2014). A Hybrid Fuzzy Regression Model and Its Application in Hydrology Engineering. Applied Soft Computing, 25, 149-158.
  • Chao, R.-J. ve Chen Y.-H. (2009). Evaluation of the Criteria and Effectiveness of Distance E-Learning with Consistent Fuzzy Preference Relations. Expert Systems with Applications, 36, 10657 – 10662.
  • Chen, Y., Tang, J., Fung, R. Y. K. ve Ren, Z. (2004). Fuzzy Regression-Based Mathematical Programming Model For Quality Function Deployment. International Journal of Production Research, 42 (5), 1009 – 1027.
  • Franceschini, F., Maisano, D. ve MAstrogiacomo, L. (2015). Customer Requirement Prioritization on QFD: A New Proposal Based on the Generalized Yager’s Algorithm. Res. Eng. Design, 26, 171 – 187.
  • Fung, R. Y. K., Chen, Y., Chen L. Ve Tang, J. (2005). A Fuzzy Expected Value-Based Goal Programming Model for Product Planning Using Quality Function Deployment. Engineering Optimization, 37 (6), 633-647.
  • Ghosh, S., Surjadjaja, H. Ve Antony, J. (2004). Optimisation of the Determinants of E-Service Operations. Business Process Management Journal, 10 (6), 616 – 635.
  • Gilbert, Jennifer (2007). e-Learning: The Student Experience. British Journal of Educational Technology, 38 (4), 560 – 573.
  • Hiltz, S. R. ve Wellman, B. (1997). Asynchronous Learning Networks As a Virtual Classroom. Communications of the ACM, 40 (9), 44 – 49.
  • Hong, Kian-Sam (2002). Relationships Between Students’ and Instructional Variables with Satisfaction and Learning from a Web-Based Course. Internet and Higher Education, 5, 267 – 281.
  • Ji, P., Jin, J., Wang, T. Ve Chen, T. (2014). Quantification and Integration of Kano’s Model Into QFD for Optimising Product Design. International Journal of Production Research, 52 (21), 6335 – 6348.
  • Jones, D. ve Tamiz M. (2010). Practical Goal Programming, Springer, New York. Jung, Insung (2011). The Dimensions of E-Learning Quality: From Learner’s Perspective. Educational Tech Research Dev, 59, 445 – 464.
  • Kanwal, F. ve Rehman, M. (2016). Measuring Information, System and Service Qualities For The Evaluation of E-Learning Systems in Pakistan. Pakistan Journal of Science, 68 (3), 302 – 307.
  • Karsak, E. E. (2008). Robot Selection Using an Integrated Approach Based on Quality Function Deployment and Fuzzy Regression. International Journal of Production Research, 46 (3), 723 – 738.
  • Karsak, E. E. ve Özoğul, C. O. (2009). An Integrated Decision Making Approach for ERP System Selection. Expert Systems with Applications, 36, 660-667.
  • Kim, K. J., Moskowitz, H., Dhingra, A. Ve Evans, G. (2000). Fuzzy Multicriteria Models for Quality Function Deployment. European Journal of Operational Research, 121, 504-518.
  • Markovic, S. ve Jovanovic, N. (2012). Learning Style as a Factor Which Affects the Quality of ELearning. Artificial Intelligence Review, 38 (4), 303 – 312.
  • Martinez-Argüelles, M., Castan, J. ve Juan, A. (2010). How Do Students Measure Service Quality in e-Learning? A Case Regarding an Internet-Based University. Electronic Journal of eLearning, 8 (2), 151 – 160.
  • Mazur, G. H. (2015). Quality Funtion Deployment – Voice of Customer Meets Voice of Process. The Journal for Quality & Participation, 24 – 29.
  • McAllister, N. C. ve McAllister, D. F. (1996). Providing Education Electronically to Nontraditional Sites: New Delivery to a New Audience. SIGDOC '96 Proceedings Of The 14th Annual İnternational Conference On Systems Documentation: Marshaling New Technological Forces: Building A Corporate, Academic, And User-Oriented Triangle, 187 – 193.
  • Melemez, K., Di Gironimo, G., Esposito, G. ve Lanzotti, A. (2013). Concept Design in Virtual Reality of a Forestry Trailer Using a QFD – TRIZ Based Approach. Turkish Journal of Agriculture and Forestry, 37, 789 – 801.
  • Moskowitz, H. ve Kim, K. (1993). On Assessing the H Value in Fuzzy Linear Regression. Fuzzy Sets and Fuzzy Systems, 58 (3), 303 – 327.
  • Myint, S. (2003). A Framework of an Intelligent Quality Function Deployment (IQFD) For Discrete Assembly Environment. Computers & Industrial Engineering, 45, 269 – 283.
  • Paechter, M., Maier, B. ve Macher, D. (2010). Students’ Expectations of, and Experiences in ELearning: Their Relation to Learning Achievements and Course Satisfaction. Computers & Education, 54, 222 – 229.
  • Parasuraman A., Zeithalm, V. A. Ve Malhotra, A. (2005). E-S-QUAL, A Multiple-Item Scale for Assessing Electronic Service Quality. Journal of Service Research, 7 (10), 1 – 21.
  • Partovi, F. Y. ve Corredoira, R. A. (2002). Quality Function Deployment for the Good of Soccer. European Journal of Operational Research, 137, 642 – 656.
  • Perçin, S. ve Min, H. (2013a). Optimal Machine Tools Selection Using Quality Function Deployment and Fuzzy Multiple Objective Decision Making Approach. Journal of Intelligent & Fuzzy Systems, 24, 163 – 174.
  • Perçin, S. ve Min, H. (2013b). A Hybrid Quality Function Deployment and Fuzzy Decision-Making Methodology for the Optimal Selection of Third-Party Logistics Service Providers. International Journal of Logistics Research and Applications, 16 (5), 380 – 397.
  • Rowley, J. (2006). An Analysis of the E-Service Literature: Towards a Research Agenda. Internet Research, 16 (3), 339 – 359.
  • Santos, J. (2003). E-Service Quality: A Model of Virtual Service Quality Dimensions. Managing Service Quality, 13 (3), 233 – 246.
  • Selim, H. M. (2007). Critical Success Factors for E-Learning Acceptance: Confirmatory Factor Models. Computers & Education, 49, 396 – 413.
  • Shee, D. Y. ve Wang, Y.-S. (2008). Multi-Criteria Evaluation of the Web-Based E-Learning System: A Methodology Based on Learner Satisfaction and Its Applications. Computers & Education, 50, 894 – 905.
  • Shemsadi, A., Shirazi, H., Toreihi, M. ve Tarokh, M. J. (2011). A Fuzzy VIKOR Method for Supplier Selection Based on Entropy Measure for Objective Weighting. Expert Systems with Applications, 38, 12160 – 12167.
  • Soong, M. H. B., Chan, H. C., Chua, B. C. Ve Loh, K. F. (2001). Critical Success Factors for On-Line Course Resource., Computers & Education, 36, 101 – 120.
  • Sun, P.-C., Tsai, R. J., Finger, G., Chen, Y.-Y. Ve Yeh, D. (2008). What Drives a Successful E-Learning? An Empirical Investigation of the Critical Factors Influencing Learner Satisfaction. Computers & Education, 50, 1183 – 1202.
  • Tanaka, H., Uejima, S. ve Asai, K. (1982). Linear Regression Analysis With Fuzzy Model. Institute of Electrical and Electronics Engineers, Transactions on Systems, Man and Cybernetics, 12, 903 – 907.
  • Thurmond, V. A., Wambach, K., Connors, H. R. ve Frey, B. B. (2002). Evaluation of Student Satisfaction: Determining the Impact of a Web-Based Environment by Controlling for Student Characteristics. The American Journal of Distance Education, 16 (3), 169 – 189.
  • Tripathy, B. B. ve Biswal, M. P. (2007). A Zero-One Goal Programming Approach For Project Selection. Journal of Information and Optimization Sciences, 28 (4), 619 – 626.
  • Udo, G. J., Bagchi, K. K. ve Kirs, P. J. (2011). Using SERVQUAL to Assess The Quality of E-Learning Experience. Computers in Human Behaviour, 27, 1272 – 1283.
  • Wang, Y.-S. (2003). Assessment of Learner Satisfaction with Asynchronous Electronic Learning Systems. Information & Management, 41, 75 – 86.
  • Wu, J., Sun, J., Liang, L. Ve Zha, Y. (2011). Determination of Weights For Ultimate Cross Efficiency Using Shannon Entropy. Expert Systems With Applications, 38, 5162 – 5165.
  • Wu, H.-Y. ve Lin, H.-Y. (2012). A Hybrid Approach to Develop an Analytical Model for Enhancing the Service Quality of E-Learning. Computers & Education, 58, 1318 – 1338.
  • Zeithaml V.A., Berry, L. L. ve Parasuraman, A. (1988). Communication and Control Processes in the Delivery of Service Quality. Journal of Marketing, 52, 35-48.
  • Zhang, D. ve Nunamaker, J. F. (2003). Powering E-Learning In The Millennium: An Overview of ELearning and Enabling Technology. Information Systems Frontiers, 5 (2), 207 – 218.
  • Zhu, Q., Shen, L., Liu, P., Zhao, Y. Yi, Y., Huang, D., Wang, P. ve Yang, J. (2015). Evolution of the Water Resources System Based on Synergetic and Entropy Theory. Polish Journal of Environmental Studies, 24 (6), 2727 – 2738.
APA Senturk P, PERÇİN S (2020). E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. , 77 - 98. 10.18092/ulikidince.566172
Chicago Senturk Pelin,PERÇİN Selçuk E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. (2020): 77 - 98. 10.18092/ulikidince.566172
MLA Senturk Pelin,PERÇİN Selçuk E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. , 2020, ss.77 - 98. 10.18092/ulikidince.566172
AMA Senturk P,PERÇİN S E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. . 2020; 77 - 98. 10.18092/ulikidince.566172
Vancouver Senturk P,PERÇİN S E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. . 2020; 77 - 98. 10.18092/ulikidince.566172
IEEE Senturk P,PERÇİN S "E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ." , ss.77 - 98, 2020. 10.18092/ulikidince.566172
ISNAD Senturk, Pelin - PERÇİN, Selçuk. "E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ". (2020), 77-98. https://doi.org/10.18092/ulikidince.566172
APA Senturk P, PERÇİN S (2020). E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 0(Talha Özel Sayısı), 77 - 98. 10.18092/ulikidince.566172
Chicago Senturk Pelin,PERÇİN Selçuk E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. Uluslararası İktisadi ve İdari İncelemeler Dergisi 0, no.Talha Özel Sayısı (2020): 77 - 98. 10.18092/ulikidince.566172
MLA Senturk Pelin,PERÇİN Selçuk E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. Uluslararası İktisadi ve İdari İncelemeler Dergisi, vol.0, no.Talha Özel Sayısı, 2020, ss.77 - 98. 10.18092/ulikidince.566172
AMA Senturk P,PERÇİN S E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. Uluslararası İktisadi ve İdari İncelemeler Dergisi. 2020; 0(Talha Özel Sayısı): 77 - 98. 10.18092/ulikidince.566172
Vancouver Senturk P,PERÇİN S E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ. Uluslararası İktisadi ve İdari İncelemeler Dergisi. 2020; 0(Talha Özel Sayısı): 77 - 98. 10.18092/ulikidince.566172
IEEE Senturk P,PERÇİN S "E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ." Uluslararası İktisadi ve İdari İncelemeler Dergisi, 0, ss.77 - 98, 2020. 10.18092/ulikidince.566172
ISNAD Senturk, Pelin - PERÇİN, Selçuk. "E-HİZMET KALİTESİ ÖLÇÜMÜ: UZAKTAN EĞİTİM HİZMETİ VEREN KAMU ÜNİVERSİTELERİ ÖRNEĞİ". Uluslararası İktisadi ve İdari İncelemeler Dergisi Talha Özel Sayısı (2020), 77-98. https://doi.org/10.18092/ulikidince.566172
Sayfa Oluşturulma Tarihi
23-04-2024 15:20

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