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

Keywords

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

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 Publication Citation

"Williams, T.A. & Shepherd, D.A. (2017) “Mixed method social network analysis: Combining inductive concept development, content analysis, and secondary data for quantitative analysis.” Organizational Research Methods, 20(2): 268-298."

Document Type

Peer-Reviewed Article

Publication Date

2017

Publisher

Organizational Research Methods

Language

English

College

Marriott School of Business

Department

Marketing

University Standing at Time of Publication

Associate Professor

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