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Towards Social Capital in a Network Organization: A Conceptual Model and an Empirical Approach
Saad Alqithami1, Rahmat Budiarto1, Musaad Alzahrani1
1Department of Computer Science, Albaha University, Al Bahah 65527, Saudi Arabia.
Entropy (Basel, Switzerland)
|December 8, 2020
Summary
This study explores social capital in open multi-agent systems, finding it boosts agent productivity and project success. Understanding these dynamic networks optimizes collaboration and organizational goals.
Area of Science:
- Artificial Intelligence
- Organizational Behavior
- Network Science
Background:
- Open multi-agent systems exhibit spontaneous interactions and self-organization for long-term objectives.
- Understanding social capital is crucial for managing complex agent collaborations and evolving network structures.
Purpose of the Study:
- To define and formulate social capital within open membership multi-agent systems.
- To analyze the dynamic network of social interactions and their impact on organizational structure.
- To correlate social capital with the achievement of organizational goals, such as optimized productivity.
Main Methods:
- Modeling an open source project as an organizational network.
- Developing definitions and formulations to link social capital to project outcomes.
- Conducting an empirical case study of an open source software project.
Main Results:
- Social capital creation and measurement within open source projects were demonstrated.
- A positive correlation was found between social capital values and agent productivity.
- Increased social capital is proportional to optimizing agent productivity for project success.
Conclusions:
- Social capital is a key factor in the success of open multi-agent systems.
- Dynamic social networks within these systems facilitate collaboration and productivity.
- The proposed model effectively measures social capital and its impact on organizational performance.
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