is therefore difficult to use computer models to make forecasts or to test hypotheses concerning the relationship between … management research can indeed benefit from computer models by using them to formulate fruitful hypotheses. …

a detailed explanation modifies behavior favorably relative to when an unclear explanation is provided. However, for all …

Traditional accounts of explanation fail to illuminate the explanatory relevance of “models that are descriptively … false” in the sense that the regularities they entail fail to obtain. In this paper, I propose an account of explanation …, which I call ‘explanation by concretization’, that serves to explicate the explanatory relevance of such models. Starting …

training data (as in bagging or boosting) and running a conventional tree-building algorithm, or by randomizing the induction … algorithm itself. The objective of this paper is to describe the first experiences with a novel randomized tree induction method …

training data (as in bagging or arcing) and running a conventional tree-building algorithm, or by randomizing the induction … algorithm itself. The objective of this paper is to describe our first experiences with a novel randomized tree induction method …

major products: household refrigerators, room air conditioners, three-phase (squirrel cage) induction motors, and clothes …

hypotheses by analyzing actual decisions for a large portfolio of IT initiatives in a unique, naturally controlled empirical … during IT portfolio planning. I build on the logic of appropriateness, to propose an endogenous explanation for the evolution … hypotheses in a unique empirical setting using a three-stage methodology. This dissertation examines strategic alignment and risk …

firms that derive value from their initial investment. Theseresults provide an explanation of simultaneity in IT value …. Our work suggests replacing“either-or” views of causality with a positive feedback loopconceptualization in which …