Design of Adaptive Organizations: Models and Empirical by Nobuo Takahashi

By Nobuo Takahashi

Organization layout has been mentioned through many authors in administration and association conception. they've got bought intuitive and prescriptive propositions attractive that the easiest association layout is contingent at the environmental stipulations. yet their experiences, referred to as contingency idea, are in most cases in line with empirical examine. lots of the "propositions" are drawn as basically inferences from the result of them. nonetheless, choice theoretic versions of "organizations" within the stochastic atmosphere were studied via a few economists and administration scientists independently of contingency concept. during this publication, vital facets of association layout difficulties are formulated as statistical selection difficulties within the framework of administration and association thought. half one in every of this ebook analyzes a short-run adaptive difficulties of the association layout. half One includes an extended exposition of the guidelines and effects released within the expert journals, and that i wish to thank the nameless reviewers of the subsequent journals: Behaviormetrika, Human family members, Behavioral technological know-how. half of this ebook considers a long-run adaptive approach within the association, and has no longer formerly been released in its IV current shape, even if a model of this half is to seem in magazine of the dep. of Liberal Arts, March 1987, The college of Tokyo. The resul ts of half One and half are supported via the empirical study on jap organizations partly 3. This study was once financially supported by way of Nippon Telegraph and mobile Public company (NTT). I recognize this gratefully.

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Sample text

1 The Separation Theorem We apply the methodology of statistical decision theory to the organizational design problem. The problem is to find a decision rule (q,d) and a management system k which minimize the risk. In this section, we state the "separation theorem" of the organization structure design problem and the management system design problem, which makes the organizational design problem easier. •. , Zj) in a set of probabili ty zero. • ,Zj with respect to a prior distribution w00 Now, the organization structure is called efficient if it ensures the organization to attain the less risk.

Since the prior distribution is a direct expression of uncertainty with respect to the state of the environment, Sj* is the set of the prior distributions which represent low uncertainty about the environment, and C(S-S*) is the set of the prior distributions which represent high uncertainty. As a result, it is shown that System 1 is the efficient management system under low uncertainty and System 2 under high uncertainty. To illustrate the characteristics of S* of Theorems 6 and 7, we consider the following examples.

Thus the decision center does not know the goodness of the task, U, with certainty. At the j-th decision epoch, the state of the innovation process is denoted by w=Pr{U=1}, where the j-th decision epoch is the decision opportunity to take the j-th action, j=1,2, •••• The state of the innovation process is the probability that the current task is good. Then the state space of the innovation process is 8=[0,1]. The core process of innovation The organization is assumed to obtain the reward R if it succeeds to operate the current task to meet or exceed the satisfactory criteria and the current task is good.

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