Summary
Co-authorship is a visible product of scientific collaboration and a form of social capital: authors exchange knowledge, resources, and information, and repeated collaboration builds trust and norms. This study examines how HRD scholars collaborate, what the structure of their co-authorship network looks like, and which factors shape how that network forms.
We retrieved 2,808 articles published from 1990 to 2014 in the four journals sponsored by the Academy of Human Resource Development (AHRD). We applied social network analysis to describe the network and used the exponential random graph model (ERGM) to test structural determinants of tie formation.
The AHRD co-authorship network displays both the small-world phenomenon and the properties of a scale-free network. Its formation is influenced by mutual and transitivity-related closure, including multiple two-paths and edge-wise shared partners. In plain terms, new collaborations tend to form between authors who already share collaborators. The issue is dated January 2020.
Why it matters
Understanding how collaboration ties form gives the field a basis for discussing how collaboration among HRD scholars can be encouraged.
Citation
Chae, C., Yoon, S. W., Jo, S. J., & Han, S.-H. (2020). Structural determinants of human resource development research collaboration networks: A social-network analysis of publications between 1990 to 2014. Performance Improvement Quarterly, 33(1), 7–30. https://doi.org/10.1002/piq.21314
Indexed in: SCOPUS
Citation
@online{2020,
author = {},
title = {Structural {Determinants} of {Human} {Resource} {Development}
{Research} {Collaboration} {Networks:} {A} {Social-Network}
{Analysis} of {Publications} {Between} 1990 to 2014},
date = {2020-01-01},
url = {https://chadchae.github.io/posts_publication/2020-01-01-structural-determinants-hrd-collaboration-networks/structural-determinants-hrd-collaboration-networks.html},
langid = {en}
}