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A Taxonomy of Organizational Dependencies and Coordination Mechanisms

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  • Kevin Crowston

Abstract

Interdependency and coordination have been perennial topics in organization studies. The two are related because coordination is seen as a response to problems caused by dependencies. Past studies, however, describe dependencies and coordination mechanisms only in general terms, without characterizing in detail difference between dependencies, the problems dependencies create or how the proposed coordination mechanisms address those problems. This vagueness makes it difficult or impossible to determine what alternative coordination mechanisms might be useful in a given circumstance or to directly translate these alternative designs into specifications of individual activities. In this paper I develop a taxonomy of dependency types by considering possible combinations of activities using resources. The taxonomy includes task-resource dependencies and three types of task-task dependencies: shared resources, producer-consumer and common output. For each type of dependency, alternative coordination mechanisms are described. I conclude by discussing how the taxonomy helps to analyze organizational processes and suggest alternative processes.

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  • Kevin Crowston, 1994. "A Taxonomy of Organizational Dependencies and Coordination Mechanisms," Working Paper Series 174, MIT Center for Coordination Science.
  • Handle: RePEc:wop:mitccs:174
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    Cited by:

    1. Seongkyoon Jeong & Jae Young Choi, 2012. "The taxonomy of research collaboration in science and technology: evidence from mechanical research through probabilistic clustering analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 719-735, June.
    2. Nicholas V. Findler & Raphael M. Malyankar, 2000. "An Empirical Approach to a Theory of Coordination. Part I: Design Principles and First Results," Computational and Mathematical Organization Theory, Springer, vol. 6(2), pages 119-144, July.
    3. Raphael M. Malyankar & Nicholas V. Findler, 1998. "A Methodology for Modeling Coordination in Intelligent Agent Societies," Computational and Mathematical Organization Theory, Springer, vol. 4(4), pages 317-345, December.

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