Book Review: Scarborough,D.,& Somers,M. J. (2006). Neural networks in organizational research: Applying pattern recognition to the analysis of organizational behavior. Washington,DC: American Psychological Association

Detienne, K. , Detienne, D. , & Joshie, S. (2003). Neural networks as statistical tools for business researchers. Organizational Research Methods, 6, 236-265.

Hornik, K. (1991). Approximation capabilities of multilayer feedforward networks. Neural Networks, 4, 251-257.

Hornik, K. , Stinchcombe, M. , & White, H. (1989). Multilayer feedforward networks are universal approximators. Neural Networks, 2, 359-366.

Smith, K.A. , & Gupta, J.N.D. (2000). Neural networks in business: Techniques and applications for the operations researcher. Computers & Operations Research, 27, 1023-1044.

Smith, M. (1993). Neural networks for statistical modeling. New York: Van Nostrand Reinhold.

Warner, B. , & Misra, M. (1996). Understanding neural networks as statistical tools . The American Statistician, 50, 284-293.

White, H. (1990). Connectionist nonparametric regression multilayer feedforward networks can learn arbitrary mappings. Neural Networks, 3, 535-549.

Wong, B.K. , Lai, V.S. , & Lam, J. (2000). A bibliography of neural network business applications research: 1994-1998. Computers & Operations Research, 27, 1045-1076.

Zahedi, F. (1996). A meta-analysis of financial applications of neural networks. International Journal of Computational Intelligence in Organizations, 1, 164-178.