Dynamic occupational accidents modeling using dynamic hybrid Bayesian confirmatory factor analysis: An in-depth psychometrics study

Zarei, Esmaeil; Karimi, Azim; Habibi, Ehsanollah; Barkhordari, Abdullah; Reniers, Genserik

doi:10.1016/j.ssci.2020.105146

Cited by 24 publications

(4 citation statements)

References 66 publications

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“…The RMR measures the average of the residuals between the sample and the implied covariance matrix. RMSEA is one of the most frequently reported goodness-of-fit measures used in structural equation modeling (Zarei et al 2021 ).…”

Section: Resultsmentioning

confidence: 99%

Institutional and individual determinants of entrepreneurial intentions: evidence from developing and transition economies

Bağış

Altınay²,

Kryeziu³

et al. 2023

Rev Manag Sci

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This study aims to examine the effect of institutions on entrepreneurial intentions, the mediation of individual motives in this relationship, and the moderating effect of the country. We tested a sample of 678 questionnaires using quantitative research methods. We used confirmatory factor, correlation, multiple regression, mediation, and moderated mediation analyses to analyze the data. Findings show that normative institutions affect entrepreneurial intentions in Turkey and Kosovo. They also reveal that the personal attitude, subjective norm, perceived behavioral control, and need for achievement have a full mediation relationship between regulatory institutions and entrepreneurial intentions and a partial mediation relationship between normative and cultural-cognitive institutions and entrepreneurial intentions. Finally, we found no moderating effect of the country in the relationship between institutions and entrepreneurial intentions. The study contributes to the literature and provides policy and managerial implications on the macro and micro factors that affect entrepreneurial intentions in developing and transition economies.

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Section: Resultsmentioning

confidence: 99%

Institutional and individual determinants of entrepreneurial intentions: evidence from developing and transition economies

Bağış

Altınay²,

Kryeziu³

et al. 2023

Rev Manag Sci

View full text Add to dashboard Cite

show abstract

“…However, owing to the differences in research objects and research objectives, the importance of the above four aspects in different studies is slightly different, which needs further discussion. Near-miss falls; construction safety [26] Construction occupational health and safety [55] BN Bayesian network Safety culture; organizational culture; [56] description, explanation, control Chains of unsafe behaviors; building construction; accident prevention [57] Construction safety; safety management; human behavior; safety climate [58] Prefabricated buildings; improved human factor analysis and classification system [59] Operational tunnels [60] Electrical and mechanical (E&M) works; accident analysis [61] explanation, control Bridge construction; fall risks [19] steel construction; fall risks [62] Falling accidents; human-organizational factors [63] description, explanation Construction safety; human error; labor and personnel issues [38] Hydraulic engineering; human error [64] Safety risk analysis; tunnel construction [65] Occupational safety; accident prevention; Falls [18] explanation, prediction Human error; construction industry [66] Productivity; building project; construction management [67] DBN Dynamic Bayesian network Occupational accidents; organization factors [68] explanation, prediction…”

Section: Network Approaches Research Objects and Analysis Processmentioning

confidence: 99%

Research Paradigm of Network Approaches in Construction Safety and Occupational Health

Liu

Cui

et al. 2022

IJERPH

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Construction safety accidents seriously threaten the lives and health of employees; however, the complexity of construction safety problems continues to increase. Network approaches have been widely applied to address accident mechanics. This study aims to review related studies on construction safety and occupational health (CSOH) and summarize the research paradigm of recent decades. We solicited 119 peer-reviewed journal articles and performed a bibliometric analysis as the foundation of the future directions, application bottlenecks, and research paradigm. (1) Based on the keyword cluster, future directions are divided into four layers: key directions, core themes, key problems, and important methods. (2) The network approaches are not independently applied in the CSOH research. It needs to rely on different theories or be combined with other methods and models. However, in terms of approach applications, there are still some common limitations that restrict its application and development. (3) The research paradigm of network analysis process can be divided into four stages: description, explanation, prediction, and control. When the same network method encounters different research objects, it focuses on different analysis processes and plays different roles.

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“…It is worth noting that the socioeconomic costs of accidents are significantly higher than their financial ones and such costs cannot be easily estimated. This highlights the importance of risk assessment, reliability analysis and modeling of the causation of the accidents [8,9].…”

Section: Introductionmentioning

confidence: 99%

Systems Thinking Accident Analysis Models: A Systematic Review for Sustainable Safety Management

et al. 2022

Self Cite

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Accident models are mental models that make it possible to understand the causality of adverse events. This research was conducted based on five major objectives: (i) to systematically review the relevant literature about AcciMap, STAMP, and FRAM models and synthesize the theoretical and experimental findings, as well as the main research flows; (ii) to examine the standalone and hybrid applications for modeling the leading factors of the accident and the behavior of sociotechnical systems; (iii) to highlight the strengths and weaknesses of exploring the research opportunities; (iv) to describe the safety and accident models in terms of safety-I-II-III; and finally, to investigate the impact of the systemic models’ applications in enhancing the system’s sustainability. The systematic models can identify contributory factors, functions, and relationships in different system levels which helps to increase the awareness of systems and enhance the sustainability of safety management. Furthermore, their hybrid extensions can significantly overcome the limitations of these models and provide more reliable information. Applying the safety II and III concepts and their approaches in the system can also progress their safety levels. Finally, the ethical control of sophisticated systems suggests that further research utilizing these methodologies should be conducted to enhance system analysis and safety evaluations.

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Dynamic occupational accidents modeling using dynamic hybrid Bayesian confirmatory factor analysis: An in-depth psychometrics study

Cited by 24 publications

References 66 publications

Institutional and individual determinants of entrepreneurial intentions: evidence from developing and transition economies

Institutional and individual determinants of entrepreneurial intentions: evidence from developing and transition economies

Research Paradigm of Network Approaches in Construction Safety and Occupational Health

Systems Thinking Accident Analysis Models: A Systematic Review for Sustainable Safety Management

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