Binary decision analysis: An empirical approach to predicting and understanding organizational decisions

Binary decision analysis is an alternative approach to the analysis of organizational decisions that lends itself well to mathematic analysis. The purpose of this paper is to present and test the application of the binary approach to decision analysis and its subsequent mathematical testing using logit regression. Binary decision analysis focuses on each decision as a single choice between two distinct alternatives or a step in a sequence of such binary choices in more complex organizational decisions. Logit regression is a type of regression especially developed to deal with binary dependent variables in the context of inferential statistical testing. By successfully combining these two approaches, and adhering to the theoretical and statistical assumptions upon which they are based, a potentially useful tool of organizational decision analysis results. An applied example of this approach tests its utility. Appropriate conclusions about the method are made based on that test.     

The importance of geopolitics in firms' international location decisions: The Polish case

Despite connections and common traits between geopolitics and International Business based on geography and location, literature on this matter is scarce. This study aims to contribute to this literature gap, by assessing the importance of Poland's geopolitical factors in FDI location decisions. By applying a hybrid methodology which combines qualitative and quantitative analyses we conclude that there is a connection between Poland's geopolitical factors (stable, variable and interactional) and the volume, origin and distribution of the FDI received.     

Quality, cost, and clinical decisions

Clinical decisions require determining the objectives of care as well as selecting and implementing a strategy of care. At the very least the optimal strategy balances the expected benefit and harm from technical interventions. Health care practitioners tend to specify optimal strategies based on what they consider to be best for patients, without regard to monetary cost. This is an absolutist definition of quality. Individuals may place different valuations on the outcomes, are concerned with the monetary costs to themselves, and are particularly sensitive to the attributes of the interpersonal relationship with the practitioners. Including all of these leads to an individualized definition of the quality of care. But this specification of quality may be in conflict with a social definition of quality, which takes into account social as well as individual monetary costs, externalities, and the social distribution of quality. The health care professions may respond to the conflict in several ways, which are described in this article as evasion, rejection and confrontation, anticipation, advocacy, active complicity, passive complicity, and ambiguous adaptations.