/or objectives generation, problem structuring/formulation, probability assessment, utility/value assessment, sensitivity analysis, co mmunication/facilitation, group issues, and implementation. Decision Analysis Applications in the Operations Research Literature,

This technical report summarizes applications of decision analysis that appeared in major English language operations research (OR) journals and other closely related journals from 1990 through 2001. The primary purpose of this report is to provide backup information for Keefer et al. (2004), which

... This paper provides an up-to-date critical survey of still- and video-based face recognition research. There are two underlying motivations for us to write this survey paper: the first is to provide an up-to-date review of the existing literature, and the second is to offer some insights

The literature on interference in the Stroop Color-Word Task, covering over 50 years and some 400 studies, is organized and reviewed. In so doing, a set ofl 8 reliable empirical findings is isolated that must be captured by any successful theory of the Stroop effect. Existing theoretical positions

Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each

Despite the very extensive literature on dropout from higher education, much remains unknown about the nature of the dropout process. In large measure, the failure of past research to delineate more clearly the multiple characteristics of dropout can be traced to two major shortcomings; namely

's; and 3) points out possible future research directions. It is shown, through a considerably large literature review, that combinations between ANN's and EA's can lead to significantly better intelligent systems than relying on ANN's or EA's alone

of this fact, it was not until relatively recently that students of development began to employ research designs that could identify the influences operating, in both directions, between the principal settings in which human development occurs. The term mesosystem has been use to characterize analytic models

important because efficiency demands operating points on or close to the boundary of the set of admissible states and controls. In this review, we focus on model predictive control of constrained systems, both linear and nonlinear and discuss only briefly model predictive control of unconstrained nonlinear

the IS research literature. The intention of the paper is to further reflection and debate on the important subject of grounding interpretive research methodology.