Exploring Typical and Atypical Safety Climate Perceptions of Practitioners in the Repair, Maintenance, Minor Alteration and Addition (RMAA) Sector in Hong Kong

Hon, Carol K.H.; Liu, Yulin

doi:10.3390/ijerph13100935

Cited by 10 publications

(4 citation statements)

References 26 publications

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“…With prevailing of the philosophy of behavior-based safety, more researchers shift their research interest to WSB. They highlighted that when compared to accident fatality and injury rate, workers' safety behavior can be a more effective predictor of safety performance, and investigating incentive mechanism of safety behavior can provide some ex-ante policies to prevent safety accidents ( 12 ).…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

Co-workers' guanxi and construction workers' safety behavior: The mediating role of group identification

Chen

Gong

et al. 2022

Front. Public Health

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The construction industry in China is characterized by higher safety risk, and construction workers' unsafe behaviors are one of the main causes of construction safety accidents, thus, designing scientific mechanisms that motivate and cultivate the construction workers to adopt safety behaviors becomes the key to the construction safety problem. Existing studies have examined some of the factors leading to workers' safety behavior (WSB) at the social, organizational, and individual levels, but ignore investigating the impact of co-workers' guanxi (CWG) on WSB. Thus, this research utilized exploratory factor analysis, confirmatory factor analysis, and structural equation modeling to examine the impact of CWG on WSB, and the mediating role of group identification (GI) in the relationship between CWG and WSB. Results show that CWG can directly or indirectly influence WSB, GI can exert a partial mediating effect on the relationship between CWG and GI. The research results enrich the research on c guanxi and causation of WSB, and provide a reference for project managers to carry out relationship-related safety management and industry regulations.

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Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

Co-workers' guanxi and construction workers' safety behavior: The mediating role of group identification

Chen

Gong

et al. 2022

Front. Public Health

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“…More researchers are turning to WSB as the notion of behavior-based safety gains traction. They emphasize that WSB can be a more accurate predictor of safety performance when compared to accident fatality and injury rates, and that looking into the incentive mechanisms of safety behaviors can provide some ex ante strategies to reduce safety accidents [ 50 ].…”

Section: Literature Review and Conceptual Modelmentioning

confidence: 99%

A Simulation Study on the Processes of Intra-Group Informal Interaction Affecting Workers’ Safety Behaviors

Chen

et al. 2022

IJERPH

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The construction industry across the world is characterized by a high safety risk, and the occurrence of these safety accidents has led to substantial economic and social losses. The workers’ unsafe behaviors are considered to be a main cause. Thus, recently, scholars in the construction industry have shifted their attention to the investigation of the influencing factors (or antecedents) and their impact on workers’ safety behaviors (WSBs), hoping to provide insight into useful management policies. The existing literature has identified many society-level, cooperation-level, project-level, and individual-level concepts influencing WSB, but ignores the influence of intra-group informal interaction (IGII) on WSB. This study constructed a conceptual model for IGII, group knowledge sharing (GKS), and group identification (GI) to determine their influence on construction workers’ safety behaviors, and then conducted simulation analysis using the software of NetLogo. The results show that IGII, GKS, and GI can positively influence workers’ safety behaviors, and IGII can also positively influence WSB through GKS and GI. This study enriches the theoretical knowledge on the causation of construction workers’ safety behaviors, provides references for project managers to carry out proper safety management, and offers a theoretic foundation for the formulation of industry regulations.

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“…where 𝑦 𝑖(𝑣) is an observed score of individual i on criterion variable v; 𝑐 𝑖 is a level parameter estimate, which indexes the overall level of individual i's observed profile and is usually the unweighted average of V variables' values for individual i; 𝑥 𝑘(𝑣) is the location coordinate or scale value for criterion variable v along latent dimension k and is usually obtained from non-metric MDS; 𝑤 𝑖𝑘 is the profile match index for individual i on latent dimension k, indexing the degree of correspondence between individual i's observed profile over V variables and the prototypical profile represented by the V variables' scale values on latent dimension k; the K profile match indices of individual i are estimated by regressing the individual i's observed V values onto K dimensions' scale values with the unweighted least squares method, and the sign of profile match indices indicates that the individual profile exhibits either the prototypical profile or its opposite, the mirror image; and 𝑒 𝑖(𝑣) is an error term for individual i on variable v, representing measurement error and systematic deviations from the model. PAMS identifies typical (normative) profiles within the group and simultaneously demonstrates how individuals differ with the individual regression's model fit (R 2 ) (Hon & Liu, 2016). This approach to profile analysis is exploratory and most suited to situations where normative profiles are derived from data rather than specified by a particular theory (Ding, 2006).…”

Section: Figure 1 Data Analysis Strategymentioning

confidence: 99%

Critical success factors for implementing learning analytics in higher education: A mixed-method inquiry

Clark

Liu

Isaías

2020

AJET

Self Cite

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Critical success factors (CSFs) have been around since the late 1970s and have been used extensively in information systems implementations. CSFs provide a comprehensive understanding of the multiple layers and dimensions of implementation success. In the specific context of learning analytics (LA), identifying CSFs can maximise the possibilities of an effective implementation and harness the value of converting data into actionable information. This paper proposes a framework that aims to identify and explore the CSFs for the implementation of LA within the higher education sector by examining the viewpoints of higher education professionals. To obtain a rounded insight into stakeholders’ perceptions, we conducted a mixed-method inquiry with factor analysis, profile analysis and thematic analysis of both quantitative and qualitative data collected with an online questionnaire from an international sample. The responses validate five CSFs of LA implementation: strategy and policy at organisational level, information technological readiness, performance and impact evaluation, people’s skills and expertise and data quality. Results also disclose diverse views about the CSFs’ priorities and the associated difficulties and achievements. Implications for practice or policy: Higher education practitioners should consider CSFs for implementing an LA initiative successfully. This study validates five dimensions of the CSFs of implementing LA in higher education. The validated framework enumerates several factors in each of the main dimensions for achieving optimum results. Stakeholders have diverse opinions about the priorities of CSFs, particularly in organisational commitment, data quality and human capital.

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Exploring Typical and Atypical Safety Climate Perceptions of Practitioners in the Repair, Maintenance, Minor Alteration and Addition (RMAA) Sector in Hong Kong

Cited by 10 publications

References 26 publications

Co-workers' guanxi and construction workers' safety behavior: The mediating role of group identification

Co-workers' guanxi and construction workers' safety behavior: The mediating role of group identification

A Simulation Study on the Processes of Intra-Group Informal Interaction Affecting Workers’ Safety Behaviors

Critical success factors for implementing learning analytics in higher education: A mixed-method inquiry

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