Start Date
14-12-2012 12:00 AM
Description
This study examines the network of R&D project teams within a global software company. These R&D teams conduct research projects that aim to advance the state-of-the-art of the knowledge in their respective domains. In addition, these teams have the mandate to commercially exploit their results. To achieve these tasks, R&D teams collaborate with a complex network of stakeholders within their global ecosystem dispersed geographically and across time zones. This study aims to investigate how network characteristics vary across the different R&D teams and how these network characteristics could influence the performance of these teams. We present the results of the exploratory case study conducted during the first phase of the study when there was a dearth in the understanding of the phenomenon of how research impact, a measure of research performance, is created. The results of the subsequent multiple case studies and network analysis are also presented.
Recommended Citation
Takahashi, Marissa, "R&D Network- Case Study and Social Network Analysis" (2012). ICIS 2012 Proceedings. 13.
https://aisel.aisnet.org/icis2012/proceedings/DigitalNetworks/13
R&D Network- Case Study and Social Network Analysis
This study examines the network of R&D project teams within a global software company. These R&D teams conduct research projects that aim to advance the state-of-the-art of the knowledge in their respective domains. In addition, these teams have the mandate to commercially exploit their results. To achieve these tasks, R&D teams collaborate with a complex network of stakeholders within their global ecosystem dispersed geographically and across time zones. This study aims to investigate how network characteristics vary across the different R&D teams and how these network characteristics could influence the performance of these teams. We present the results of the exploratory case study conducted during the first phase of the study when there was a dearth in the understanding of the phenomenon of how research impact, a measure of research performance, is created. The results of the subsequent multiple case studies and network analysis are also presented.