Balancing Performance Measures When Agents Behave Competitively in an Environment With Technological Interdependencies
AbstractThis paper addresses the question, what metrics should be used for performance evaluation and in particular how they should be weighted and combined in the presence of technological interdependencies when the agents exhibit variedly strong developed rivalry. We find that the principal reacts to his agents' competitive preferences through a reallocation of incentive intensity. As a consequence, depending on the underlying sort of technological interdependency, various differences in the balancing of performance measures compared to the case of purely egoistical behavior arise and changes in the agents' basic types of compensation can occur. We further show that the principal does not want both of his agents to behave equally competitively. Instead, he can only profit when the agents are asymmetrical. Then the principal wants the more productive agent to exhibit rivalry while the other ideally should behave completely egoistically.
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Bibliographic InfoPaper provided by University of Munich, Munich School of Management in its series Discussion Papers in Business Administration with number 2113.
Date of creation: 04 Feb 2008
Date of revision:
Social Preferences; Rivalry; Technological Interdependencies; Performance Measurement; Team Composition;
Find related papers by JEL classification:
- D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
- M41 - Business Administration and Business Economics; Marketing; Accounting - - Accounting - - - Accounting
- M52 - Business Administration and Business Economics; Marketing; Accounting - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
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