Knowledge Retention through Low-Tech Knowledge Sharing Channels in Loosely-Coupled Networks: A Human-Based Approach

TL;DR

This paper explores how low-tech, human-based knowledge sharing within social networks in loosely-coupled government-industry collaborations can effectively promote knowledge retention and regional sustainability.

Contribution

It introduces a human-based approach utilizing social networks and group interactions to enhance knowledge retention in low-technology environments.

Findings

Close-knit community ties foster strong personal networks.

Group interactions support ongoing access to group memory.

Social networks are crucial for knowledge retention in low-tech settings.

Abstract

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.