Sanboskani, H and Srour, I (2022) Using advanced statistical methods to identify the drivers of knowledge sharing intention among construction workers. Journal of Construction Engineering and Management, 148(2): 04021201, ISSN 0733-9364
Abstract
Front-line construction workers possess the hands-on knowledge required to execute projects. However, insufficient research has been conducted on the drivers of workers' behavior with respect to knowledge sharing. This study aims to develop an integrative understanding of the factors affecting knowledge sharing intention among construction workers. Starting with factors from the literature, a survey was prepared to record the responses of construction workers to questions about their view of the work environment and the knowledge sharing process, and 137 usable responses were collected from 16 construction building sites. Advanced statistical methods - exploratory factor analysis (EFA) and structural equation modeling (SEM) - were used to identify the factors, among which are social and professional contributions, and study the links between them. The results indicate strong links among organizational climate factors, professional contributions, social contributions, and attitude. These results were used to propose methods to improve the working environment, enhance the knowledge sharing process, and, therefore, improve productivity and overall project performance. This study contributes to the body of knowledge on construction labor and, generally, knowledge management in construction by offering a data-driven framework to understand the drivers of workers' behavior with respect to knowledge sharing and propose techniques to enhance the knowledge sharing process. The results lay the foundation for sustaining knowledge on construction sites and develops the groundwork for future research on the link between construction workers' behavior and project performance.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | behavior; construction worker; intention; knowledge sharing |
| Index terms: | body of knowledge, knowledge management, construction site, building site, structural equation modelling, survey, social contribution, knowledge sharing, exploratory factor analysis, construction worker, construction labour, statistical method, work environment, project performance, productivity |
| Subjects: | data collection methods, practitioner, work location, knowledge management, management, professional development, project management theory and practice, site and location studies, sociology, statistical analysis |
| Topics: | Organizational Design, Site Management, Urban Studies, Roles and Professions, Information Management, Project Management, Geographical Context, Research Practice, Business Strategy |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here