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 journalArticle

21 Scopus citations

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 (US)
Pages (from-to)268-298
Number of pages31
JournalOrganizational Research Methods
Volume20
Issue number2
DOIs
StatePublished - Apr 1 2017

Keywords

  • content analysis
  • mixed method
  • secondary data
  • social network analysis

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Strategy and Management
  • Management of Technology and Innovation

Fingerprint Dive into the research topics of 'Mixed Method Social Network Analysis: Combining Inductive Concept Development, Content Analysis, and Secondary Data for Quantitative Analysis'. Together they form a unique fingerprint.

  • Cite this