Part 1: Prologue -- Part 2: Case Study 1 (Choice Behaviour in Interactive MCDM: A Rocky road) -- Part 3: Case Study 2 (Can a Linear Value Function Explain Choices? An Experimental Study: A Not So Rocky Road) -- Part 4: Epilogue

Linear aggregation models employing unit and equal weights have been shown to be superior to human decisions in a surprising range of decision situations. In addition, decisions based on these models have often been found to be superior to those based on linear regression models (LRMs). This...

Utility functions for profits and losses are obtained on 14 practicing auditors. Data were elicited through personal interviews with audit partners and seniors. The appropriate utility functions that describe the risk characteristics of the auditors and fit the certainty equivalent responses are...

Information processing and choice behavior of research and development (R&D) managers and MBA students were investigated through play of a simple R&D decision game under conditions of technical uncertainty. The experimental design permitted a detailed micro-analysis of the players' behavior. The...

Bowman [Bowman, E. H. 1963. Consistency and optimality in Managerial decision making. Management Sci. 9 (2) 310-322.] and others have proposed that regression models derived from a manager's past behavior can serve as a basis for future managerial decisions. This paper is concerned with a...

The Bayesian algorithm presented in this paper provides a generalized procedure for determining the minimum cost sample size (n*) and acceptance number (c*) for single sample attribute acceptance plans. The algorithm is applicable to a broad range of acceptance sampling problems, assuming only...