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Measuring strategic decision making efficiency in different country contexts: A comparison of British and Turkish firms

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Author Info

  • Demirbag, Mehmet
  • Tatoglu, Ekrem
  • Glaister, Keith W.
  • Zaim, Selim

Abstract

This paper compares the relative efficiency of the strategic decision making (SDM) processes of British and Turkish firms. The technique of data envelopment analysis (DEA) is used to measure the relative efficiency of these firms. The evidence obtained by the DEA analysis reveals that the Turkish firms tend to be superior to the British firms in terms of their SDM efficiency. There is a significant difference in scale returns with respect to the country of origin of the firms. The analysis of the improvement potential of inputs indicates that Turkish firms place more emphasis on managing environmental turbulence to enhance their SDM efficiency, while British firms tend to overly focus on the design of an appropriate organizational structure. However, no significant difference was noted between the two groups of firms with regard to the level of resources and effort exerted on formal strategic planning practices. The analysis of output deficits reveals that there is a significant difference between British and Turkish firms in the sources of inefficiency.

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Bibliographic Info

Article provided by Elsevier in its journal Omega.

Volume (Year): 38 (2010)
Issue (Month): 1-2 (February)
Pages: 95-104

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Handle: RePEc:eee:jomega:v:38:y:2010:i:1-2:p:95-104

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Keywords: Data envelopment analysis Strategic decision making Britain Turkey;

References

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  1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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  7. Ramanathan, Ramakrishnan & Yunfeng, Jiang, 2009. "Incorporating cost and environmental factors in quality function deployment using data envelopment analysis," Omega, Elsevier, vol. 37(3), pages 711-723, June.
  8. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
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  12. Avkiran, Necmi K., 2009. "Opening the black box of efficiency analysis: An illustration with UAE banks," Omega, Elsevier, vol. 37(4), pages 930-941, August.
  13. Cook, Wade D. & Bala, Kamel, 2007. "Performance measurement and classification data in DEA: Input-oriented model," Omega, Elsevier, vol. 35(1), pages 39-52, February.
  14. Yu, Ming-Miin & Lin, Erwin T.J., 2008. "Efficiency and effectiveness in railway performance using a multi-activity network DEA model," Omega, Elsevier, vol. 36(6), pages 1005-1017, December.
  15. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
  16. Wu, Jie & Liang, Liang & Chen, Yao, 2009. "DEA game cross-efficiency approach to Olympic rankings," Omega, Elsevier, vol. 37(4), pages 909-918, August.
  17. Patrick L. Brockett & Boaz Golany, 1996. "Using Rank Statistics for Determining Programmatic Efficiency Differences in Data Envelopment Analysis," Management Science, INFORMS, vol. 42(3), pages 466-472, March.
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Citations

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Cited by:
  1. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
  2. Xu, Yan & Yeh, Chung-Hsing, 2012. "An integrated approach to evaluation and planning of best practices," Omega, Elsevier, vol. 40(1), pages 65-78, January.
  3. Lee, Peter K.C. & Cheng, T.C. Edwin & Yeung, Andy C.L. & Lai, Kee-hung, 2011. "An empirical study of transformational leadership, team performance and service quality in retail banks," Omega, Elsevier, vol. 39(6), pages 690-701, December.

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