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Study of a Business Decision

California Management Review, 1966
Decision making is the most pervasive activity of business managers, but relatively little is known about how decisions are actually made. This article examines a business operating decision within the framework of the bounded rational decision theory.
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Toxic Decision Processes: A Study of Emotion and Organizational Decision Making

Organization Science, 2004
This paper addresses the role of emotion in organizational decision making. Grounding our research in the decision process literature, we introduce the concept of “toxic decision processes”: organizational decision processes that generate widespread negative emotion in an organization through the recursive interplay of members' actions and negative ...
Sally Maitlis, Hakan Ozcelik
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An Experimental Study of Executive Decision-Making With Implications for Decision Support

Journal of Organizational Computing and Electronic Commerce, 2010
Past research in the field of information systems has explored factors and conditions that are relevant to decision-making in many contexts. However, very little is known about how executives consider, weigh, and integrate these factors. One current school of thought holds that intuition and instincts can play a significant role and that when decision ...
Terence T. Ow, James G. Morris
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Studying Embodied Decisions in the Wild and in the Lab

2022
During real-life decisions, such as when we drive on a busy road or play soccer with friends, we continuously select between different action possibilities, or affordances, considering not only their potential immediate payoffs but also the new opportunities that they may make possible in the future. If our brains have evolved to successfully make such
Jeremy Gordon   +6 more
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Decision to Study in Japan

2016
As was described in the previous chapter, upon graduating from Nankai Middle School in Tianjin, Zhou Enlai decided to go to study in Japan. Japan was by far the most popular country for Chinese, in which to study abroad at that time, more so than Europe and the United States.
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Is it Reasonable to Study Decision‐Making Quantitatively?

Topics in Cognitive Science, 2021
AbstractScientists studying decision‐making often provide a set of choices, each specified with values or distributions of values, and probabilities or distributions of probabilities. For example, “Would you prefer $100 with probability 1.0 or $1 with probability .9 and $1,000 with probability 0.1?” Other decision research examines choices made in the ...
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A Study on Architectural Decision-Making in Context

2015 12th Working IEEE/IFIP Conference on Software Architecture, 2015
Design decisions are made throughout the design process of a new software system or the evolution of an existing system. The context in which a system is developed influences these decisions themselves and the way they are made. There are only a few empirical studies regarding architectural decision-making or concerning how the decision-making process ...
Iris Groher, Rainer Weinreich
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Study on Decision Classification Fusion Model

2009 Ninth International Conference on Hybrid Intelligent Systems, 2009
In this paper, a general decision layer classificationfusion model, based on information fusion for improving classification precision, is proposed, that is, different multi -classification algorithms as the feature layer doing respective classification, and the results of classification algorithms are input into decision level, the last classification
Xiao-dan Zhang, Zhendong Niu
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A Longitudinal Study in Participative Decision-Making

Human Relations, 1977
A framework and method of a three-country comparative study on the process of participative decision-making is described. Research methods, models, and instruments are developed in the context of a longitudinal de-sign. The major hypotheses relate to the situationally determined relation between power decentralization, skill utilization, and ...
Heller, Frank   +3 more
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A Tool for Study of Optimal Decision Trees

2010
The paper describes a tool which allows us for relatively small decision tables to make consecutive optimization of decision trees relative to various complexity measures such as number of nodes, average depth, and depth, and to find parameters and the number of optimal decision trees.
Abdulaziz Alkhalid   +2 more
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