DocumentCode
1487462
Title
Matrix structures and performance: the search for optimal adjustment to organizational objectives
Author
Laslo, Zohar ; Goldberg, Albert I.
Author_Institution
Dept. of Ind. Eng. & Manage., Negev Acad. Coll. of Eng., Beer Sheva, Israel
Volume
48
Issue
2
fYear
2001
fDate
5/1/2001 12:00:00 AM
Firstpage
144
Lastpage
156
Abstract
Matrix structures continue to be utilized at high-tech companies despite considerable evidence about the many shortcomings of the method. Empirical research among companies employing matrix structures revealed three different resource allocation policies: (1) profit and cost centers; (2) direct priorities; and (3) comprehensive allocation planning. In order to evaluate organizational performance for each policy, a simulation was constructed to ascertain the optimal distribution of influence for managers under different work parameters and for various organizational objectives. The simulation provided answers for when organizational and market conditions necessitate increases or reductions in the influence of project managers in order to reach optimum performance. Based on the organizational objectives selected for this study, different patterns were found to characterize decision-making. Patterns varied considerably. At one extreme, the distribution of influence for reaching a specific objective remained stable despite changes in work parameters. In contrast, another pattern involved a high dependence between a specific work profile and the optimization of performance, with changes in each work parameter leading to quite different decisions about whether to increase, decrease, or maintain influence
Keywords
costing; investment; optimisation; planning; product development; project management; research and development management; R&D management; allocation planning; cost; decision-making; direct priorities; matrix structures; optimal adjustment; organizational objectives; organizational performance; performance; product development; profit; project management; project managers; resource allocation policies; Control systems; Costs; Decision making; Engineering management; Humans; Industrial engineering; Knowledge management; Project management; Resource management; Technology management;
fLanguage
English
Journal_Title
Engineering Management, IEEE Transactions on
Publisher
ieee
ISSN
0018-9391
Type
jour
DOI
10.1109/17.922474
Filename
922474
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