Theses and Dissertations
Getting ahead and getting along in entrepreneurial networks: network effects of the “dark” and “light” sides of personality in new venture performance
Mississippi State University
Date of Degree
Dissertation - Open Access
Business Administration (Management)
Doctor of Philosophy (Ph.D)
College of Business
Department of Management and Information Systems
This dissertation explores how dark and light personality traits influence venture performance via mediating effects of social structure. Because entrepreneurship is an inherently social process, theoretical perspectives of social network theory and social comparison theory are used to examine how entrepreneurs’ dark and light personality traits interact with personality traits of socially proximal others to influence venture performance via network structure. These perspectives are drawn together using socioanalytic theory. This dissertation argues that agreeableness and narcissism interact with the personality traits of network others at the group-level to influence structural hole positioning within entrepreneurial networks; in turn, structural holes are hypothesized to exert a positive effect on venture revenue. This study offers contributions to the fields of entrepreneurship, entrepreneurial personality, social networks, and social comparison processes. Hypotheses are tested using a dataset of 234 entrepreneurs nested within 24 groups; analyses are conducted via linear mixed effects models and Monte-Carlo approximation of mediation confidence intervals (Model 1) and OLS regression and non-parametric bootstrapping approximation of mediation confidence intervals (Model 2).
Yates, Victoria Antin, "Getting ahead and getting along in entrepreneurial networks: network effects of the “dark” and “light” sides of personality in new venture performance" (2022). Theses and Dissertations. 5412.
Business Administration, Management, and Operations Commons, Entrepreneurial and Small Business Operations Commons, Organizational Behavior and Theory Commons