Data envelopment analysis based comparison of two hybrid multi-criteria decision-making approaches for mobile phone selection: a case study in Iranian telecommunication environment

International Journal of Information and Decision Sciences

Volumn 1, Issue 2, 2008, Pages 194-220

  Mahdavi, Iraj ^a   Fazlollahtabar, Hamed ^a   Mozaffari, Ellieh ^a   Heidari, Morvarid ^a   Mahdavi Amiri, Nezam ^b  

^a DEPARTMENT OF INDUSTRIAL ENGINEERING   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

AHP; analytical hierarchy process; data envelopment analysis; DEA; entropy; MCDM; multi criteria decision making; technique for order preference by similarity to an ideal solution; TOPSIS; user preference; VAHP; voting analytical hierarchy process

Indexed keywords

EID: 79251632121     PISSN: 17567017     EISSN: 17567025     Source Type: Journal    
DOI: 10.1504/IJIDS.2008.022295     Document Type: Article

References (36)

1. Aoki, K. and Downes, E.J. (2003) ‘An analysis of young people’s use of and attitudes toward cell phones’, Telematics and Informatics, Vol. 20, pp.349–364.
2. Campbell, S.W. and Russo, T.C. (2003) ‘The social construction of mobile telephony: an application of the social influence model to perceptions and uses of mobile phones within personal communication networks’, Communication Monographs, Vol. 70, pp.317–334.
3. Chae, M. and Kim, J. (2004) ‘Do size and structure matter to mobile users? An empirical study of the effects of screen size, information structure, and task complexity on user activities with standard web phones’, Behaviour and Information Technology, Vol. 23, pp.165–181.
4. Charnes, A., Cooper, W.W. and Rhodes, E. (1978) ‘Measuring the efficiency of decision making units’, European Journal of Operational Research, Vol. 2, pp.429–444.
5. Chen, C.H., Khoo, L.P. and Yan, W. (2003) ‘Evaluation of multicultural factors from elicited customer requirements for new product development’, Research in Engineering Design, Vol. 14, pp.119–130.
6. Chuang, M.C., Chang, C.C. and Hsu, S.H. (2001) ‘Perceptual factors underlying user preferences toward product form of mobile phones’, Int. J. Industrial Ergonomics, Vol. 27, pp.247–258.
7. Cooper, W.W., Seiford, L.M. and Tone, K. (2000) Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Boston, MA: Kluwer Academic Publishers.
8. Davie, R., Panting, C. and Charl+ton, T. (2004) ‘Mobile phone ownership and usage among preadolescents’, Telematics and Informatics, Vol. 21, pp.359–373.
9. Doumpos, M. and Zopundnidis, C. (2002) Multicriteria Decision Aid Classification Methods. Dordrecht, The Netherlands: Kluwer Academic Publisher.
10. Feng, C.M. and Wang, R.T. (2000) ‘Performance evaluation for airlines including the consideration of financial ratios’, Journal of Air Transport Management, Vol. 6, pp.133–142.
11. Funk, J. (2005) ‘The future of the mobile phone internet: an analysis of technological trajectories and lead users in the Japanese market’, Technology in Society, Vol. 27, pp.69–83.
12. Han, S.H. and Hong, S.W. (2003) ‘A systematic approach for coupling user satisfaction with product design’, Ergonomics, Vol. 46, pp.1441–1461.
13. Han, S.H., Kim, K.J., Yun, M.H., Hong, S.W. and Kim, J. (2004) ‘Identifying mobile phone design features critical to user satisfaction’, Human Factors and Ergonomics in Manufacturing, Vol. 14, pp.15–29.
14. Hwang, C.L. and Yoon, K. (1981) Multiple Attribute Decision Making – Methods and Applications. Heidelberg, Germany: Springer-Verlag.
15. Isiklar, G. and Buyukozkan, G. (2007) ‘Using a multi-criteria decision making approach to evaluate mobile phone alternative’, Computer Standards and Interfaces, Vol. 29, pp.265–274.
16. Karjaluoto, H., Pakola, J., Pietilä, M. and Svento, R. (2003) ‘An exploratory study on antecedents and consequences of mobile phone usage in Finland’, Paper presented in the Proceedings of the AMA Conference, Vol. 14, pp.170–178, Chicago, August 15–18 USA.
17. Kwon, H.S. and Chidambaram, L. (2000) ‘A test of the technology acceptance model: The case of cellular telephone adoption’, Paper presented in the Proceedings of the HICSS-34, Hawaii, pp.45–62, January 3–6.
18. Lai, H.H., Lin, Y.C., Yeh, C.H. and Wei, C.H. (2006) ‘User-oriented design for the optimal combination on product design’, Int. J. Production Economics, Vol. 100, pp.253–267.
19. LaRose, R. (1989) ‘Understanding personal telephone behavior’, in: H. Sawhney and G. Barnett (Eds), Progress in Communication Science, Vol. 15, pp.158–172.
20. Lee, Y.S., Hong, S.W., Smith-Jackson, T.L., Nussbaum, M.A. and Tomioka, K. (2006) ‘Systematic evaluation methodology for cell phone user interfaces’, Interacting with Computers, Vol. 18, pp.304–325.
21. Mahatanankoon, P., Wen, H.J. and Lim, B. (2005) ‘Consumer-based m-commerce: exploring consumer perception of mobile applications’, Computer Standards and Interfaces, Vol. 27, pp.347–357.
22. Palen, L., Salzman, M. and Youngs, E. (2000) ‘Going wireless: behavior and practice of new mobile phone users’, ACMCSCW, Philadelphia, December 2–6, pp.201–210.
23. Pomerol, J-C. and Romero, S.B. (2000) Multi criterion Decision in Management: Principles and Practice, (1st edn). Norwell, MA: Kluwer Academic Publishers (Translation by Claude James from French).
24. Saaty, L.T. (1980) The Analytic Hierarchy Process. New York, NY: McGraw Hill Company.
25. Saaty, L.T. and Vargas, L.G. (2001) Models, Methods, Concepts and Applications of the Analytical Hierarchy Process. Boston, MA: Kluwer Academic Publishers.
26. Salvucci, D.D. and Macuga, K.L. (2002) ‘Predicting the effects of cellular-phone dialing on driver performance’, Cognitive Systems Research, Vol. 3, pp.95–102.
27. Selwyn, N. (2003) ‘Schooling the mobile generation: the future for schools in the mobile-networked society’, British Journal of Sociology and Education, Vol. 24, pp.131–142.
28. Takamura, T. and Tone, K. (2003) ‘A comparative site evaluation study for relocating Japanese government agencies out of Tokyo’, Socio-Economic Planning Sciences, Vol. 37, pp.85–102.
29. Tam, M.C.Y. and Tummala, V.M.R. (2001) ‘An application of the AHP in vendor selection of a telecommunications system’, Omega, Vol. 29, pp.171–182.
30. Teng, J-Y. (2002) Project Evaluation: Methods and Applications. Keelung, Taiwan: National Taiwan Ocean University.
31. Tsaur, S.H., Chang, T.Y. and Yen, C.H. (2002) ‘The evaluation of airline service quality by fuzzy MCDM’, Tourism Management, Vol. 23, pp.107–115.
32. Wang, S.E. and Sung, Y.C. (2003) ‘Mobile phone consumption behavior analysis’, Paper presented in the Proceedings of the Asia Pacific Management Conference, pp.1–11.
33. Weinberger, Z.E.D. and Richter, E. (2002) ‘Cellular phones and effects on the brain: the head as an antenna and brain tissue as a radio receiver’, Medical Hypotheses, Vol. 59, pp.357–369.
34. Wilska, T. (2003) ‘The role of m-services in the well-being of young people’, Journal of Consumer Policy, Vol. 26, pp.441–463.
35. Yahya, S. and Kingsman, B. (1999) ‘Vendor rating for an entrepreneur development programme: a case study using the analytic hierarchy process methods’, Journal of Operational Research Society, Vol. 50, pp.916–930.
36. Zhu, J. (2002) Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver. Boston, MA: Kluwer Academic Publishers