1. Network Goal Analysis of Social and Organizational Systems: Testing Dynamic Network Theory in Complex Social Networks
- Author
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James D. Westaby and Adam K. Parr
- Subjects
Goal analysis ,Knowledge management ,Dynamic network analysis ,business.industry ,Computer science ,Organizational systems ,05 social sciences ,Complex system ,050109 social psychology ,Network science ,Goal pursuit ,0502 economics and business ,0501 psychology and cognitive sciences ,business ,050203 business & management ,Applied Psychology - Abstract
Grounded in dynamic network theory, this study examined network goal analysis (NGA) to understand complex systems. NGA provides new insights by inserting goal nodes into social networks. Goal nodes can also represent missions, objectives, or desires, thus having wide applicability. The theory ties social networks to goal nodes through a parsimonious set of social network role linkages, such as independent goal striving, system supporting, feedback, goal preventing, supportive resisting, and system negating (i.e., those who are upset with others in the pursuit). Moreover, we extend the theory’s system reactance role linkage to better account for constructive conflicts. Two complex systems were examined: a team’s mission and an individual’s work project. In support of dynamic network theory, using the Quadratic Assignment Procedure, results demonstrated significant shared goal striving, system supporting, and shared connections between goal striving and system supporting. These findings manifest what we coin as multipendence: Systems having some actions independently involved with goals, while others are dependently involved in the associated network. NGA also demonstrated that the goal nodes manifested strong betweenness centrality, indicating that goal striving and feedback links were connecting entities across the wider system. Strategies to plan network goal interventions are illustrated with implications for practice.
- Published
- 2019