Knowledge Transfer Characteristics of Construction Workers Based on Social Network Analysis
Author(s): |
Xinying Cao
Peicheng Qin Ping Zhang |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 27 October 2022, n. 11, v. 12 |
Page(s): | 1876 |
DOI: | 10.3390/buildings12111876 |
Abstract: |
Effects of traditional training methods are not obvious when transferring competent knowledge to construction workers to allow them to deal with new technology and intelligent equipment. The purpose of this study was to explore knowledge transfer paths and transfer characteristics within worker groups and to provide a theoretical basis for formulating new measures to improve knowledge and skills in worker groups. Firstly, we analyzed and verified the group characteristics of workers. Then, the social network analysis (SNA) method was used to study the knowledge transfer characteristics of worker groups, and the following conclusions were drawn: (1) construction workers have obvious group closure and regional concentration, which have significant impacts on knowledge transfer; (2) team leaders are the core and authority of knowledge transfer within entire networks, so improving the knowledge and skills of team leaders has a significant impact on promoting the overall knowledge and skills of workers; (3) it is very difficult for expatriate technical instructors with high levels of education but no blood or geographical relationships with other workers to establish knowledge authority among workers; and (4) due to the large gaps in knowledge and skills among workers, one-way flows of knowledge occur easily within groups. |
Copyright: | © 2022 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. |
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10699944 - Published on:
10/12/2022 - Last updated on:
10/05/2023