This study examines a human-based approach for knowledge retention that is evolving through various knowledge sharing channels in a low-technology environment with a strong emphasis on social networks in a loosely-coupled inter-organisational government-industry collaboration focused on regional sustainability. Using social network analysis combined with interview and observational analysis, our results show that a combination of close-knit community ties and group interaction promote the development of strong personal networks that provide continued access to group memory to retain the groups knowledge.
@article{arxiv.1606.01362,
title = {Knowledge Retention through Low-Tech Knowledge Sharing Channels in Loosely-Coupled Networks: A Human-Based Approach},
author = {Rosemary Van Der Meer and Karlheinz Kautz},
journal= {arXiv preprint arXiv:1606.01362},
year = {2016}
}
Comments
ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032)