Current Trends and Future Directions in Knowledge Management in Construction Research Using Social Network Analysis
Author(s): |
Sepani Senaratne
Muhandiramge Nimashi Navodana Rodrigo Xiaohua Jin Srinath Perera |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 23 November 2021, n. 12, v. 11 |
Page(s): | 599 |
DOI: | 10.3390/buildings11120599 |
Abstract: |
The growing interest in Knowledge Management (KM) has led to increased attention to Social Network Analysis (SNA) as a tool to map the relationships in networks. SNA can be used to evaluate knowledge flows between project teams, contributing to collaborative working and improved performance. Similarly, it has the potential to be used for construction projects and organisations. This paper aims at identifying current trends and future research directions related to using SNA for KM in construction. A systematic review and thematic analysis were used to critically review the existing studies and identify potential research areas in construction specifically related to research approaches and explore the possibilities for extension of SNA in KM. The findings revealed that there are knowledge gaps in research approaches with case study-based research involving external stakeholders, collaborations, development of communication protocols, which are priority areas identified for future research. SNA in KM related to construction could be extended to develop models that capture both formal and informal relationships as well as the KM process in pre-construction, construction, and post-construction stages to improve the performance of projects. Similarly, SNA can be integrated with methodological concepts, such as Analytic Hierarchy Process (AHP), knowledge broker, and so forth, to improve KM processes in construction. This study identifies potential research areas that provide the basis for stakeholders and academia to resolve current issues in the use of SNA for KM in construction. |
Copyright: | © 2021 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
1.09 MB
- About this
data sheet - Reference-ID
10646942 - Published on:
10/01/2022 - Last updated on:
10/01/2022