Bashir Tijani, Xiao-Hua Jin and Osei-Kyei Robert
Design of architecture, engineering and construction (AEC) project organizations expose project management practitioners (PMPs) to poor mental health due to the influence of…
Abstract
Purpose
Design of architecture, engineering and construction (AEC) project organizations expose project management practitioners (PMPs) to poor mental health due to the influence of project organization designs on project management activities assigned to the PMPs. The AEC project organization design comprises the integration of permanent organization, project organization and external environment layers. In spite of the link between project organization design and mental health, limited studies have examined the impact of permanent organization factors, project organization factors and external environmental factors on mental health management practices. Therefore, this study aims to examine the interactive relationships between permanent organization factors, project organization factors, external environment factors and mental health management indicators.
Design/methodology/approach
Four organizational theories: institutional theory, agency theory and resource-based theory were integrated to develop a theoretical model guiding the aim of the study. Eighty-two survey data were collected from PMPs in AEC firms in Australia. Structural equation modelling was used to test the relationships between the constructs.
Findings
The study found that mental health management indicators are predicted by the interactive and direct effects of permanent organizational factors, project organizational factors and external environmental factors. The results of the interactive effects of the factors and mental health management indicators revealed that 20 of 26 proposed hypotheses were supported. Based on the established hypotheses, economic factors, technological factors, environmental factors, legal factors and organizational culture positively correlated with mental health management indicators. Likewise, human resources management (HRM), corporate governance, project governance and integrated project delivery (IPD) positively impact mental health management indicators. However, political factors, social factors, knowledge management and project management skills negatively impact mental health management indicators. Moreover, political factors, economic factors, technological factors, environmental factors, legal factors and organizational culture are positively related to corporate governance. Additionally, organizational culture positively impacts corporate governance, project governance and HRM, whereas project governance positively correlated with IPD and knowledge management.
Originality/value
The findings provide guidelines to AEC firms on achieving positive mental health management indicators through concentration on project organization design.
Details
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Minh Van Nguyen, Ha Duy Khanh, Chien Thanh Phan and Le Dinh Thuc
Mental ill health is prevalent among construction workers due to high job demands and unsafe working conditions. Psychological safety climate (PSC) has emerged as a potential…
Abstract
Purpose
Mental ill health is prevalent among construction workers due to high job demands and unsafe working conditions. Psychological safety climate (PSC) has emerged as a potential solution for improving workplace mental health. However, there is still limited understanding of how different dimensions of PSC influence mental ill health. Thus, this study aims to explore the impact of PSC on the mental ill health of construction employees in the Vietnamese context.
Design/methodology/approach
Data were collected from 238 construction professionals using a non-probability sampling method. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the relationships between various PSC dimensions and mental ill health.
Findings
The findings revealed that management commitment and management priority have the most significant influence on reducing mental ill health in the Vietnamese construction sector. While organizational communication and participation contribute, their impact is less pronounced but crucial in promoting employee well-being.
Originality/value
Firms should actively promote mental well-being by visibly prioritizing psychological health alongside productivity and providing resources for stress prevention. For policymakers, these findings suggest the need for regulations that encourage or mandate mental health programs. Additionally, the study highlights the need for employees to engage with mental health initiatives to reduce the stigma surrounding mental health discussions in the workplace.
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Amir A. Abdulmuhsin, Hayder Dhahir Hussein, Hadi AL-Abrrow, Ra’ed Masa’deh and Abeer F. Alkhwaldi
In this research, we seek to understand the effects of artificial intelligence (AI) and knowledge management (KM) processes in enhancing proactive green innovation (PGI) within…
Abstract
Purpose
In this research, we seek to understand the effects of artificial intelligence (AI) and knowledge management (KM) processes in enhancing proactive green innovation (PGI) within oil and gas organizations. It also aims to investigate the moderator role of trust and sustainability in these relationships.
Design/methodology/approach
This paper employs a quantitative analysis. Surveys have been gathered from the middle-line managers of twenty-four oil and gas government organizations to evaluate the perceptions of the managers towards AI, KM processes, trust, sustainability measures and proactive measures toward green innovation. Analytical and statistical tools that were employed in this study, including structural equation modeling with SmartPLSv3.9, have been used to analyze the data and to examine the measurement and structural models of this study.
Findings
The study results reveal a significant and positive impact of AI utilization, KM processes and PGI within oil and gas organizations. Furthermore, trust and sustainability turn out to be viable moderators affecting, and influencing the strength and direction of AI, KM and PGI relationships. In particular, higher levels of trust and more substantial sustainability commitments enhance the positive impact of AI and KM on green innovation outcomes.
Practical implications
Understanding the impact of AI, KM, trust and sustainability offers valuable insights for organizational leaders and policymakers seeking to promote proactive green innovation within the oil and gas industry. Thus, organizations can increase the efficiency of sustainable product development, process improvement and environmental management by using robust AI technologies and effective KM systems. Furthermore, fostering trust among stakeholders and embedding sustainability principles into organizational culture can amplify the effectiveness of AI and KM initiatives in driving green innovation outcomes.
Originality/value
This study extends the current knowledge by assessing the effect of AI and KM on proactive green innovation while accounting for trust and sustainability as moderators. Utilizing quantitative methods offers a nuanced understanding of the complex interactions between these variables, thereby advancing theoretical knowledge in the fields of innovation management, sustainability and organizational behavior. Additionally, the identification of specific mechanisms and contextual factors enriches practical insights for organizational practitioners striving for a practical understanding of the dynamics of the complexities of sustainable innovation in an AI-driven era.