Impacts of Policy Mix Comprehensiveness on BIM Implementation: Moderating Effects of Environmental State and Response Uncertainty

Xing, Mengjue; Cao, Jiming; Cao, Dongping

doi:10.1061/jcemd4.coeng-12716

Cited by 14 publications

(5 citation statements)

References 94 publications

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“…The contingency theory (Fiedler, 1958;Sahal, 1979;Singh, Bohra, & Dalal, 1979) proposes that leaders adopt styles that best suit the situation (Sugianto, Pujawan, & Purnomo, 2023). The contingency theory is a major theoretical lens used to view organizations and support organizations to see the relation between risk management and project performance (Otieno, Ogutu, Ndemo, & Pokhariyal, 2020;Xing, Cao, & Cao, 2023). Therefore, the contingency theory helps in understanding the influence of risk management practices on the performance of road construction projects in Kilifi County, Kenya.…”

Section: Contingency Theorymentioning

confidence: 99%

Risk Management Practices and Performance of Road Construction Projects in Kilifi County, Kenya

MACHIRA,

KISING’U, PhD

2024

strategicjournals.com

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The purpose of this study was to examine the influence of risk management practices on performance of road construction projects in Kilifi County, Kenya. Drawing on the positivist research philosophy, the research utilized the quantitative non-experimental research methodology. The research employed the correlational cross-sectional survey design for testing noncausal relationships among variables. The target population consisted of 224 project implementation team in charge of 56 road construction projects under the Kenya Rural Roads Authority in Kilifi County, Kenya. The proportionate stratified random sampling technique was used to select a sample size of 144 project implementation team in charge of 36 road construction projects under the Kenya Rural Roads Authority in Kilifi County, Kenya. A self-administered structured survey questionnaire was utilized to collect primary data. A pilot study was conducted to test the validity and reliability of the constructed survey questionnaire. With the help of 3 research assistants, the researcher utilized the drop and pick method to hand deliver the survey questionnaires to 144 project implementation team in charge of 36 road construction projects in Kilifi County, Kenya. The cross-sectional survey-based approach was used for the primary data collection. The collected data was coded, edited, and entered into the Statistical Package for Social Sciences (SPSS) version 26 to create a data sheet that was used for statistical analysis. Data analysis involved the use of descriptive statistics and inferential statistics. The Pearson's product moment correlation results indicated that risk identification and risk analysis had positive and significant relationship with performance of road construction projects in Kilifi County, Kenya. The multiple regression results indicated that risk identification and risk analysis had positive and significant influence on performance of road construction projects in Kilifi County, Kenya. The project managers should implement the risk management practices to foster performance of road construction projects. The policymakers should initiate policy review to encourage project managers to implement the risk management practices to foster performance of road construction projects. Future researchers should examine the moderating influence of project complexity on the relationship between risk management practices and performance of construction projects in other regions or sectors.

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Section: Contingency Theorymentioning

confidence: 99%

Risk Management Practices and Performance of Road Construction Projects in Kilifi County, Kenya

MACHIRA,

KISING’U, PhD

2024

strategicjournals.com

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Section: Contingency Theorymentioning

confidence: 99%

Risk Management Practices and Performance of Mining Projects in Kwale County, Kenya

MUTHUI,

KISING’U, PhD

2024

strategicjournals.com

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The purpose of this research was to examine the influence of risk management practices on the performance of mining projects in Kwale County, Kenya. Specifically, the research examined the influence of risk identification practice and risk analysis practice on the performance of mining projects in Kwale County, Kenya. The theoretical framework consisted of the enterprise risk management theory, systems theory, contingency theory and complexity theory. Drawing on the positivist research philosophy, the research utilized the quantitative non-experimental research methodology. The research employed the correlational cross-sectional survey design for testing noncausal relationships among variables. The proportionate stratified random sampling technique was used to select a sample size of 128 project management staff from a target population of 188 project management staff in charge of the mining projects of the 7 mining companies in Kwale County, Kenya. A pilot study was conducted to test the validity and reliability of the constructed survey questionnaire. A self-administered structured questionnaires was used to collect primary data. The research utilized the cross-sectional survey-based approach. Through the drop and pick method, the survey questionnaires were hand delivered to the project management staff of the mining companies. The collected data was processed and entered into the statistical package for social sciences (SPSS) version 26 to create a data sheet used for statistical analysis. The Pearson's correlation results indicated that risk identification practice and risk analysis practice had positive and significant relationship with performance of mining projects in Kwale County, Kenya. The multiple regression results showed that risk identification practice and risk analysis practice had positive and significant influence on performance of mining projects in Kwale County, Kenya. The mining project managers should recognize the importance of risk management practices and apply them to their projects to minimize risks for successful projects in the mining industry. The policy makers should initiate policy review to motivate project managers recognize the importance of risk management practices.

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“…Supporting this, Choi et al [59] conducted a study in which 125 large-scale construction projects in Datong City, Shanxi Province, China, were temporarily suspended due to policy interruptions caused by political turnover. Furthermore, Xing et al [60] suggested that uncertainty in environmental conditions can undermine the positive impact of regional policy combinations when it comes to implementing organizational building information modeling (BIM) practices. The second category focuses on barriers to consistency arising from differences in goals and governance approaches across various policy domains.…”

Section: Abstract Clustering Analysismentioning

confidence: 99%

Unraveling the Knowledge Roadmap of Building Policy Mixes: A Scientometric Analysis

Xu,

Li,

et al. 2024

Sustainability

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Improving energy efficiency and reducing carbon emissions from buildings are crucial for achieving sustainable development. To realize these goals, it is essential to adopt a policy mix. However, despite much effort in this field, there is a lack of comprehensive understanding on building policy mixes (BPMs), which challenges building sustainability. To address this research gap, this study attempted to uncover the knowledge landscape of BPM through scientometric analysis. By employing methods such as keywords co-occurrence analysis, clustering analysis, co-citation analysis, and research trend analysis, this study systematically examined the current status, hot topics, underlying knowledge framework, knowledge domains, and frontiers of BPM research. The findings revealed that the existing BPM research primarily focuses on various aspects, including policy-related topics such as building energy efficiency policies and policy instruments, as well as topics like green affordable housing, hindering factors, carbon pricing, use obligation, construction waste reduction, and sustainable construction methods. Furthermore, the analysis identified research frontiers in BPM, encompassing policy considerations (e.g., building efficiency policy, split incentive, carbon tax, and carbon pricing), energy-related aspects (e.g., consumption, green transition), political dimensions (e.g., governance, management), building-related factors (e.g., green building, retrofitting), the innovation system, and the evolutionary game. Based on these findings, this study suggests that future research in BPM can deepen insight into interdisciplinary policy mixes by focusing on policy strategies, processes, and features. This study contributes to a holistic understanding of BPM and offers insightful guidance for both researchers and practitioners seeking to advance sustainable practices in the building sector.

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Impacts of Policy Mix Comprehensiveness on BIM Implementation: Moderating Effects of Environmental State and Response Uncertainty

Cited by 14 publications

References 94 publications

Risk Management Practices and Performance of Road Construction Projects in Kilifi County, Kenya

Risk Management Practices and Performance of Road Construction Projects in Kilifi County, Kenya

Risk Management Practices and Performance of Mining Projects in Kwale County, Kenya

Unraveling the Knowledge Roadmap of Building Policy Mixes: A Scientometric Analysis

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