Performance evaluation of websites using entropy and grey relational analysis methods: The case of airline companies

Vatansever, K.; Akgűl, Y.

Growing Science » Decision Science Letters » Performance evaluation of websites using entropy and grey relational analysis methods: The case of airline companies

Journals

DSL Volumes

Volume 1 (10)
- Issue 1 (5)
- Issue 2 (5)

Volume 2 (30)
- Issue 1 (5)
- Issue 2 (6)
- Issue 3 (9)
- Issue 4 (10)

Volume 3 (53)
- Issue 1 (15)
- Issue 2 (10)
- Issue 3 (19)
- Issue 4 (9)

Volume 4 (48)
- Issue 1 (10)
- Issue 2 (12)
- Issue 3 (14)
- Issue 4 (12)

Volume 5 (39)
- Issue 1 (12)
- Issue 2 (10)
- Issue 3 (8)
- Issue 4 (9)

Volume 6 (30)
- Issue 1 (8)
- Issue 2 (6)
- Issue 3 (9)
- Issue 4 (7)

Volume 7 (41)
- Issue 1 (8)
- Issue 2 (8)
- Issue 3 (8)
- Issue 4 (17)

Volume 8 (38)
- Issue 1 (8)
- Issue 2 (6)
- Issue 3 (14)
- Issue 4 (10)

Volume 9 (39)
- Issue 1 (8)
- Issue 2 (9)
- Issue 3 (14)
- Issue 4 (8)

Volume 10 (43)
- Issue 1 (7)
- Issue 2 (8)
- Issue 3 (20)
- Issue 4 (8)

Volume 11 (49)
- Issue 1 (9)
- Issue 2 (9)
- Issue 3 (14)
- Issue 4 (17)

Volume 12 (64)
- Issue 1 (12)
- Issue 2 (24)
- Issue 3 (13)
- Issue 4 (15)

Volume 13 (78)
- Issue 1 (21)
- Issue 2 (18)
- Issue 3 (19)
- Issue 4 (20)

Countries

Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print) Quarterly Publication Volume 7 Issue 2 pp. 119-130 , 2018

Performance evaluation of websites using entropy and grey relational analysis methods: The case of airline companies Pages 119-130 Download PDF

Authors: Kemal Vatansever, Yakup Akgűl

DOI: 10.5267/j.dsl.2017.6.005

Keywords: Website performance, Entropy weight method, Grey relational analysis

Abstract: The revolutionary alterations and conversions occurring in information and communication technologies, have triggered an increase in the electronic commerce applications. Airline tickets are one of the most popular items purchased on the internet. The airline websites have become a big distribution channel for the companies to sustain their competitiveness. At this moment, the competition is increasing as airlines try to acquire and retain customers in the airline industry. To acquire and retain customers in such a highly competitive market, it is important for airlines to understand their relative levels of quality in terms of critical elements affecting their competitive advantages. In this study, an integrated two-stage multi-criteria decision-making techniques were used for the measurement of the performance of the airline websites using the Entropy Weight Method and the Grey Relational Analysis approach. The performance of 11 airline companies’ websites operating in Turkey was evaluated in terms of seven criteria. The data of quality website from airlines websites were taken more than 30 trails on various occasions on different periods of times. The data has been taken from 1 December 2016 to 31 December 2016. The weights of the attributes were calculated by Entropy Weight Method, the evaluation of the alternatives using the Grey Relational Analysis method were given ranking of websites.

How to cite this paper

 Vatansever, K & Akgűl, Y. (2018). Performance evaluation of websites using entropy and grey relational analysis methods: The case of airline companies.Decision Science Letters , 7(2), 119-130.

Refrences

Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
Deng, H., Yeh, C. H., & Willis, R. J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computers & Operations Research, 27(10), 963-973.
Dominic, P. D. D., & Jati, H. (2011). A comparison of Asian airlines websites quality: using a non-parametric test. International Journal of Business Innovation and Research, 5(5), 599-623.
Fontela, E., & Gabus, A. The DEMATEL Observer. 1976. Battelle Institute, Geneva Research Center.
Hidalgo, L., Cabrerizo, F.J., López Gijón, J., Herrera-Viedma, E. (2007). Applying Fuzzy linguistic Tools to Evaluate the Quality of Airline Web Sites. In Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2007), 113-119
Jati, H. (2009). Performance measurement evaluation on quality of Asian Airlines websites: An ANP approach. 4th Intnerational Conference on E-Commerce with focus on developing countries.
Khan, H., & Dominic, P. D. D. (2013). Measuring Quality of Asian Airline Websites Using Analytical Hierarchy Process: A Future Customer Satisfaction Approach. ISICO 2013.
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(3), 1383-1401.
Li, X., Wang, K., Liu, L., Xin, J., Yang, H., & Gao, C. (2011). Application of the entropy weight and TOPSIS method in safety evaluation of coal mines. Procedia Engineering, 26, 2085-2091.
Lu, I. J., Lin, S. J., & Lewis, C. (2008). Grey relation analysis of motor vehicular energy consumption in Taiwan. Energy Policy, 36(7), 2556-2561.
Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455.
Phippen, A., Sheppard, L., & Furnell, S. (2004). A practical evaluation of Web analytics. Internet Research, 14(4), 284-293.
Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill International Book Company.
Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process (Vol. 4922). Pittsburgh: RWS publications.
Senthilkumar, N., Tamizharasan, T., & Anandakrishnan, V. (2014). Experimental investigation and performance analysis of cemented carbide inserts of different geometries using Taguchi based grey relational analysis. Measurement, 58, 520-536.
Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. J. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160-12167.
Tsai, W.H., Leu, J.D. and Chou, W.C. (2009). The Development of an Evaluation Model of E-Commerce Websites for the Taiwanese Airline Industry. In S. Newell, E. A. Whitley, N. Pouloudi, J. Wareham & L. Mathiassen (eds.), 170-181
Tsai, W. H., Chou, W. C., & Leu, J. D. (2011). An effectiveness evaluation model for the web-based marketing of the airline industry. Expert Systems with Applications, 38(12), 15499-15516.
Wang, Y. J. (2008). Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan. Expert Systems with Applications, 34(3), 1837-1845.
Wu, H. H. (2002). A comparative study of using grey relational analysis in multiple attribute decision making problems. Quality Engineering, 15(2), 209-217.
Wu, J., Sun, J., Liang, L., & Zha, Y. (2011). Determination of weights for ultimate cross efficiency using Shannon entropy. Expert Systems with Applications, 38(5), 5162-5165.
Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert systems with applications, 32(2), 499-507.
Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2009). Design concept evaluation in product development using rough sets and grey relation analysis. Expert Systems with Applications, 36(3), 7072-7079.