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Trust, Positive Reciprocity, and Negative Reciprocity: Do These Traits Impact Entrepreneurial Dynamics?

Authors: Marco Caliendo; Frank M. Fossen; Alexander S. Kritikos;

Trust, Positive Reciprocity, and Negative Reciprocity: Do These Traits Impact Entrepreneurial Dynamics?

Abstract

Experimental evidence reveals that there is a strong willingness to trust and to act in both positively and negatively reciprocal ways. So far it is rarely analyzed whether these variables of social cognition influence everyday decision making behavior. We focus on entrepreneurs who are permanently facing exchange processes in the interplay with investors, sellers, and buyers, as well as needing to trust others and reciprocate with their network. We base our analysis on the German Socio-Economic Panel and recently introduced questions about trust, positive reciprocity, and negative reciprocity to examine the extent that these variables influence the entrepreneurial decision processes. More specifically, we analyze whether i) the willingness to trust other people influences the probability of starting a business; ii) trust, positive reciprocity, and negative reciprocity influence the exit probability of entrepreneurs; and iii) willingness to trust and to act reciprocally influences the probability of being an entrepreneur versus an employee or a manager. Our findings reveal that, in particular, trust impacts entrepreneurial development. Interestingly, entrepreneurs are more trustful than employees, but much less trustful than managers.

Country
Germany
Keywords

Unternehmer, Vertrauen, M13, L26, ddc:330, entrepreneurship, trust, reciprocity, J23, Entrepreneurship, trust, Wirtschaftswissenschaften, entrepreneurship, Austauschtheorie, D81, reciprocity, Selbstständige, Entrepreneurship, trust, reciprocity, Deutschland, jel: jel:D81, jel: jel:J23, jel: jel:L26, jel: jel:M13

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    105
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
105
Top 1%
Top 10%
Top 10%
bronze