"Who do you know?" Developing and Analyzing Entrepreneur Networks: An Analysis of the Entrepreneurial Environment of Kampala, Uganda

Abstract

Our research goal is to quantify the entrepreneurial network in such a way that the analysis provides concrete policy recommendations. Our Center has experimented with several data collection methodologies and we have developed an innovative yet simple technique that allows us to develop quantifiable entrepreneur networks. Our innovation is not to develop each individual entrepreneur's network, but to understand the entire entrepreneurial network of the community in which the entrepreneur lives and operates. To develop this model, we have adapted a technique used in sociology to measure social capital called the Position Generator (Lin & Dumin, 1986; Lin et Al, 2001). This technique circumvents the massive effort of mapping an individual's social network before locating the social resources in it. By approaching the entrepreneur's network through the analysis of his connections to prominent structural positions in the community or society, researchers are able to construct measures that obtain information on the strength of ties and structural holes (Lin, 2001). For example, in a developing world entrepreneurial network these roles might include a nongovernmental organization, a government program, or a family member. Sequential to this effort, we will designate a "goal network," an entrepreneurial environment that is considered to be especially conducive for successful Small and Medium Enterprise (SME) establishment. We will construct a network model using the same methodology and then mathematically determine which nodes in the "network of interest" are the "driver nodes." By influencing these nodes, or their links to other nodes, we can encourage the "network of interest" to evolve towards the propitious centrality metrics of the "goal network." The quantitative findings from this methodology will determine specific policy recommendations for each network based on its own specific centrality metrics.

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Document Details

Document Type
Technical Report
Publication Date
Nov 04, 2013
Accession Number
ADA587469

Entities

People

  • Daniel Evans

Organizations

  • United States Military Academy

Tags

DTIC Thesaurus Topics

  • Commerce
  • Communities
  • Economic Development
  • Generators
  • Governments
  • International Organizations
  • Military Research
  • Network Science
  • Networks
  • Nongovernmental Organizations
  • Small Business
  • Social Networks
  • Societies
  • Sociology
  • United States
  • United States Military Academy
  • Visual Inspection

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