独创性
结构方程建模
心理学
工作(物理)
业务
应用心理学
知识管理
计算机科学
社会心理学
工程类
机械工程
机器学习
创造力
作者
Hilary Omatule Onubi,Manuel Carpio,Ahmad Sanusi Hassan
出处
期刊:Engineering, Construction and Architectural Management
[Emerald (MCB UP)]
日期:2022-12-23
被引量:2
标识
DOI:10.1108/ecam-06-2022-0548
摘要
Purpose Job satisfaction (JS) of construction workers is important in determining the level of green construction project performance. Despite the importance of construction workers' JS in actualizing green construction projects' objectives, insufficient consideration has been accorded in green construction studies. This study aims to determine the link between green human capital (GHC), pro-environmental construction practice (PCP), green work climate (GWC) and JS. Precisely, the purpose of this study is to investigate the mediating role of GWC on the GHC and PCP relationship while analysing the moderating effect of GWC on the relationship between PCP and JS. Design/methodology/approach This research's data were collected through a survey questionnaire with 272 useable responses obtained. The partial least squares structural equation modelling (PLS-SEM) technique was used in the study's data analysis. Findings The findings of this study indicate that GHC was positively related to PCP; GWC had a significant mediating effect on the GHC–PCP relationship; PCP had a significant positive effect on JS; and GWC had a significant moderating effect on the PCP–JS relationship with high GWC yielding the greater effect. Practical implications This study gives a clearer picture of how GHC can lead to the adoption of PCP through GWC and translate to JS, thus providing stakeholders with the required information on firm-based initiatives that can promote the needed green behaviour on the construction site. Originality/value The originality of this study lies in its contribution to both theory and practice as it provides greater insight into PCP alongside its antecedents and outcomes as it relates to the JS of construction project/site managers.
科研通智能强力驱动
Strongly Powered by AbleSci AI