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Boutilier, R G and Zdziarski, M (2017) Managing stakeholder networks for a social license to build. Construction Management and Economics, 35(08-09), 498-513.
De Biasio, A and Murray, A (2017) The social network of the UK PPP secondary equity market: Returns and competition in an emerging market. Construction Management and Economics, 35(08-09), 468-81.
Fellows, R and Liu, A M M (2017) 'What does this mean'? Sensemaking in the strategic action field of construction. Construction Management and Economics, 35(08-09), 578-96.
Keung, C and Shen, L (2017) Network strategy for contractors' business competitiveness. Construction Management and Economics, 35(08-09), 482-97.
London, K and Pablo, Z (2017) An actor-network theory approach to developing an expanded conceptualization of collaboration in industrialized building housing construction. Construction Management and Economics, 35(08-09), 553-77.
Opdyke, A, Lepropre, F, Javernick-Will, A and Koschmann, M (2017) Inter-organizational resource coordination in post-disaster infrastructure recovery. Construction Management and Economics, 35(08-09), 514-30.
Papadonikolaki, E, Verbraeck, A and Wamelink, H (2017) Formal and informal relations within BIM-enabled supply chain partnerships. Construction Management and Economics, 35(08-09), 531-52.
Poleacovschi, C, Javernick-Will, A and Tong, T (2017) The link between knowledge sharing connections and employee time savings: A social network analysis. Construction Management and Economics, 35(08-09), 455-67.
- Type: Journal Article
- Keywords: knowledge management; time savings; social network theory; social network analysis; network analysis; construction engineering; knowledge sharing; social networks; regression analysis
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446193.2017.1287414
- Abstract:
Social network research has shown that knowledge sharing connections facilitate access to valuable resources. However, little is known about which knowledge sharing connections save knowledge seekers the most time on their daily tasks. To address this gap, this research analyses knowledge sharing connections that provide time savings, measured as the time individuals saved on daily tasks as a result of receiving knowledge from other employees. The research evaluates time savings based on the strength of connection, the network distance between the seeker and provider and the provider's centrality in the network. To conduct this study, the research team analysed a data-set of 10,849 knowledge sharing dyads reported through a survey administered in one department in a large construction and engineering organization. Data were analysed using social network analysis and multiple regression quadratic assignment procedure. Results showed that stronger connections were assessed as more beneficial for time savings, especially when the connections were with central actors who had higher closeness centrality scores. Knowledge seekers also had a higher assessment of time savings when they were closer (in terms of network distance) to the knowledge provider. These results show that knowledge network reach and strong knowledge connections are essential for achieving everyday work efficiency. Furthermore, the results add to theories of strong and weak connections by showing that strong ties are favourable for achieving time savings in the context of construction and engineering organizations.;Social network research has shown that knowledge sharing connections facilitate access to valuable resources. However, little is known about which knowledge sharing connections save knowledge seekers the most time on their daily tasks. To address this gap, this research analyses knowledge sharing connections that provide time savings, measured as the time individuals saved on daily tasks as a result of receiving knowledge from other employees. The research evaluates time savings based on the strength of connection, the network distance between the seeker and provider and the provider's centrality in the network. To conduct this study, the research team analysed a data-set of 10,849 knowledge sharing dyads reported through a survey administered in one department in a large construction and engineering organization. Data were analysed using social network analysis and multiple regression quadratic assignment procedure. Results showed that stronger connections were assessed as more beneficial for time savings, especially when the connections were with central actors who had higher closeness centrality scores. Knowledge seekers also had a higher assessment of time savings when they were closer (in terms of network distance) to the knowledge provider. These results show that knowledge network reach and strong knowledge connections are essential for achieving everyday work efficiency. Furthermore, the results add to theories of strong and weak connections by showing that strong ties are favourable for achieving time savings in the context of construction and engineering organizations.;