REFERENCES

Chapter XVII - Data Mining in Information Technology and Banking Performance
Data Mining: Opportunities and Challenges
by John Wang (ed)
Idea Group Publishing 2003

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Banker, R.D., Charnes, A. & Cooper, W.W. (1984). Some models for the estimation of technical and scale inefficiencies in data envelopment analysis. Management Science, 30, 1078 1092.

Charnes, A., Cooper, W.W. & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2, 429 444.

Chen, Y. & Zhu, J. (2001). Measuring information technology's indirect impact on firm performance. Proceedings of the 6th INFORMS Conference on Information System & Technology, Miami, FL.

Keen, P.G.W. (1991). Shaping the future: Business design through information technology. Cambridge, MA: Harvard Business School Press.

Seiford, L.M. & Zhu, J. (1999). An investigation of returns to scale in DEA. OMEGA, 27, 1 11.

Zhu, J. (2000). Multi-factor performance measure model with an application to Fortune 500 companies. European J. of Operational Research, 123(1), 105 124.

Zhu, J. (2002). Quantitative models for performance evaluation and benchmarking: Data envelopment analysis with spreadsheets and DEA Excel Solver. Boston, MA: Kluwer Academic Publishers.

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