By Nobuo Takahashi
ISBN-10: 3540178341
ISBN-13: 9783540178347
ISBN-10: 3642615929
ISBN-13: 9783642615924
Organization layout has been mentioned through many authors in administration and association concept. they've got bought intuitive and prescriptive propositions beautiful that the easiest association layout is contingent at the environmental stipulations. yet their stories, referred to as contingency concept, are in general in response to empirical learn. many of the "propositions" are drawn as in simple terms inferences from the result of them. nonetheless, determination theoretic versions of "organizations" within the stochastic setting were studied via a few economists and administration scientists independently of contingency thought. during this publication, very important facets of association layout difficulties are formulated as statistical determination difficulties within the framework of administration and association concept. half considered one of this ebook analyzes a short-run adaptive difficulties of the association layout. half One includes an multiplied exposition of the tips and effects released within the specialist journals, and that i want to thank the nameless reviewers of the subsequent journals: Behaviormetrika, Human relatives, Behavioral technology. half of this booklet considers a long-run adaptive strategy 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 partially 3. This study was once financially supported by way of Nippon Telegraph and cellphone Public company (NTT). I recognize this gratefully.
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Extra resources for Design of Adaptive Organizations: Models and Empirical Research
Example text
0,0,1) Figure 4. Example 4. 2 Neutral Tasks and Service Departments It is notable that S* is not empty (see Theorem 6) but that some subsets Sj* may be empty. We first show the simple example of empty Sj *. Example 2. To illustrate the case that Sj*=~ for some j, we add the manager 3 to Example 2, who recommends a3 wi th the loss function The new organizational observation Zj=(Xj1,Xj2,Xj3) is assumed to have the conditional probability function p( lUi) as defined by i f i=j=k=l otherwise where the sample space of Xj3 is SXj3={1,2}.
6~wO(u1)~1, then to take a1 is a Bayes terminal decision function regardless of the observed value of Z1. Therefore, for any prior distribution, the pyramid organization is efficient. In the case (1) and the case (2) with Z1=(1,1), the manager 2 stands in a line authori ty posi tion and the manager 1 is only advisory to the top leader. In the case (3) and the case 31 (2) with Z1=(2,2), the manager 1 stands in a line authority position and the manager 2 is only advisory to the top leader. 6) and the observed value Z1=(2,2), then both tasks a1 and a2 are Bayes.
29 Example 1. Now consider the firm which has several products, and whose plants and branches are geographically spread. The organization has two managers, and the specialized repertory of the tasks of the organization is A'={a1,a2}. The manager 1 recommended the task a1 that activities of the unit organizations should be grouped by product because each product is best sold by the sales employees thoroughly familiar with it. On the other hand, the manager 2 recommended the task a2 that activities of the unit organizations in a given area or territory should be grouped to reduce transportation costs of parts and to reduce the sales employees' time and costs required for traveling.