Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4937783 | Computers in Human Behavior | 2016 | 12 Pages |
Abstract
The goal of this study was to examine whether social network analysis has a significant effect on new business development (NBD) performance as a key innovation performance index in 10 cross-functional teams in multinational firms, and then determine the ways in which the social network analysis data can be used to maximize NBD performance. This study was based on experimental data from actual teams' communications in a virtual environment via information and communication technology (ICT). We focused on three social indices: network density, clique participation index (CPI) as a modified clique, and the standard deviation of structural holes (SH_SD) measured by effective size. A regression analysis of the experimental data obtained in this longitudinal study demonstrated that CPI and SH_SD had a positive influence on NBD evolution, while network density affected it adversely.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Eunyoung Choi, Kun Chang Lee,