This research project takes the position that there is a biological basis to social contract formation in business and to social contract dissolution. Its stance is that individuals cannot escape the natural forces that govern these relationships, by rite that these forces have on the structuring of the neural architecture of the human brain. While it is argued in this project that the neural algorithms in the brain are formed through evolutionary time to perform specific tasks that aided in the economizing activities of our ancestors, this structural design is not absolute. Rather, the neural circuits which formed in response to adaptive challenges facing our ancestors are susceptible to cultural influences, hierarchical arrangements, and organizational elaboration. So, although it is inescapable that biological forces shaped a fixed neural structure that guides and limits humans abilities in the present day, naturally formed cultural variables in corporations moderate the activation of these neural circuits in ordinary business social contract situations.
This dissertation attempts to inform the business ethics field with insights from evolutionary psychology by examining business respondents behavior when confronted with a social contract situation that involves cheating. En route to this goal, the research project empirically tests for the presence of cheater-detection/social-contract neural algorithms in a sample of business practitioners and undergraduate business students, as an extension of the research conducted by evolutionary psychologists, Leda Cosmides and John Tooby. Based on the theoretical groundwork laid by evolutionary psychology and other natural science disciplines, the study examined whether human brain circuits are structured to recognize one specific type of social relationship in firms agency arrangements.
Ultimately, this studys central thesis is: Although corporate agents minds are biologically evolved to identify cheaters in social contract situations, the neural circuits responsible for detecting these breaches are influenced by organizational and cultural components that affect the individuals perceptions of the terms of the exchange. Results from the main study empirically confirm that cheater-detection algorithms are present within a business population but that these hardwired circuits are moderated by cultural influences in business organizations. Implications for organizations and ethical decision making are offered and discussed.
| Identifer | oai:union.ndltd.org:PITT/oai:PITTETD:etd-05122005-103857 |
| Date | 16 May 2005 |
| Creators | Wasieleski, David Michael |
| Contributors | William C. Frederick, Jacob Birnberg, James Weber, Stephen Gaulin, Donna J. Wood |
| Publisher | University of Pittsburgh |
| Source Sets | University of Pittsburgh |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.library.pitt.edu/ETD/available/etd-05122005-103857/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to University of Pittsburgh or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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