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Some assembly required: leveraging Web science to understand and enable team assembly
1Department of Industrial Engineering & Management Science, McCormick School of Engineering, Northwestern University, Evanston, IL 60208, USA. nosh@northwestern.edu
Web science can enhance team formation by studying socio-technical motivations. Research focuses on developing theories, analytic methods, and recommender systems using web data for effective team assembly.
Area of Science:
- Web Science
- Social Computing
- Team Dynamics
Background:
- The internet enables new forms of team assembly, creating ad hoc, agile, and distributed entities.
- These emergent teams from virtual communities hold potential for innovation and problem-solving.
Purpose of the Study:
- To explore how Web science can facilitate effective team assembly.
- To advance theories on socio-technical motivations driving team formation.
- To develop methods for analyzing and leveraging web data for team assembly.
Main Methods:
- Developing theories of socio-technical motivations for team formation.
- Creating analytic methods and models to understand motivation influences.
- Utilizing digital trace data from the Web for model testing.
- Implementing recommender systems based on team assembly insights.
Main Results:
- The study outlines a framework for interdisciplinary research in Web science.
- It emphasizes the need for theoretical advancement in understanding team motivations.
- The potential for data-driven recommender systems for team assembly is highlighted.
Conclusions:
- Web science is crucial for understanding and optimizing modern team assembly.
- Interdisciplinary investment is needed to harness the creative potential of web-enabled teams.
- Richer theoretical understanding and data analysis can lead to more effective team formation.
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