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How Does Opportunistic Behavior Influence Firm Size? Author info | Abstract | Publisher info | Download info | Related research | Statistics Christian Cordes ()
Peter J. Richerson
Richard McElreath
Pontus Strimling
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registered author(s):
This paper relates firm size and opportunism by showing that, given certain behavioral dispositions of humans, the size of a profit-maximizing firm can be determined by cognitive aspects underlying firm-internal cultural transmission processes. We argue that what firms do better than markets – besides economizing on transaction costs – is to establish a cooperative regime among its employees that keeps in check opportunism. A model depicts the outstanding role of the entrepreneur or business leader in firm-internal socialization processes and the evolution of corporate cultures. We show that high opportunism-related costs are a reason for keeping firms’ size small.
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Paper provided by Max Planck Institute of Economics, Evolutionary Economics Group in its series Papers on Econonmics and Evolution with number
2006-18.
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Date of creation: Nov 2006Date of revision:
Handle: RePEc:esi:evopap:2006-18Contact details of provider: Postal: Kahlaische Strasse 10, D-07745 Jena Phone: +49-3641-68 65 Fax: +49-3641-68 69 90 Web page: http://www.econ.mpg.de/ More information through EDIRC
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Keywords: Theory of the Firm Transaction Cost Economics Cultural Evolution Opportunism Cooperation Length 21 pages Other versions of this item:
Find related papers by JEL classification: D21 - Microeconomics - - Production and Organizations - - - Firm Behavior D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles M14 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - Corporate Culture; Social Responsibility C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
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