This research coordination network increased the interconnections between scholars across disciplines and catalyzed a new community examining virtual organizations using computational and data-enabled approaches. Big data presents an enormous opportunity for organizational science, particularly the areas aimed at understanding human behavior and organizing processes. However, utilizing such data requires a fundamental transformation within the areas of science engaged in this problem domain. This project engaged a core set of interdisciplinary scientists representing both the “social” and the “technical” thinking about virtual organizing, to work collaboratively to build the scientific network needed to tackle the challenges of utilizing big data in the organizational sciences, and to set up the necessary conditions for big-data enabled organizational science research to thrive. The project team conducted workshops, research incubators, doctoral consortia, and a conference (IC2S2) to build community and capacity for computational virtual organization research.
- Leslie DeChurch, Northwestern University
- Noshir Contractor, Northwestern University
- Bruce Walker, Georgia Institute of Technology
- Davood Tofighi, Georgia Institute of Technology
Carter, D. R., Asencio, R., Wax, A., DeChurch, L. A., & Contractor, N. S. (2015). Little teams, big data: Big data provides new opportunities for teams theory. Industrial and Organizational Psychology, 8(04), 550-555.
Wax, A., Asencio, R., & Carter, D. R. (2015). Thinking big About big data. Industrial and Organizational Psychology, 8(4), 545.
This material is based upon work supported by the National Science Foundation under Grant No. (ACI-1244737).