Mixed Method Social Network Analysis: Combining Inductive Concept Development, Content Analysis, and Secondary Data for Quantitative Analysis

Trenton A. Williams, Dean A. Shepherd

Research output: Contribution to journalArticleScientificpeer-review

21 Citations (Scopus)

Abstract

This article outlines a mixed method approach to social network analysis combining techniques of organizational history development, inductive data structuring, and content analysis to offer a novel approach for network data construction and analysis. This approach provides researchers with a number of benefits over traditional sociometric or other interpersonal methodologies including the ability to investigate networks of greater scope, broader access to diverse social actors, reduced informant bias, and increased capability for longitudinal designs. After detailing this approach, we apply the method on a sample of 143 new ventures and suggest opportunities for general application in entrepreneurship, strategic management, and organizational behavior research.
Original languageEnglish
Peer-reviewed scientific journalOrganizational Research Methods
Volume20
Issue number2
Pages (from-to)268-298
Number of pages31
ISSN1094-4281
DOIs
Publication statusPublished - 2017
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • mixed method
  • social network analysis
  • content analysis
  • secondary data

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