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Influential safety technology adoption predictors in construction
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Purpose

Existing literature suggests that construction worker safety could be optimized using emerging technologies. However, the application of safety technologies in the construction industry is limited. One reason for the constrained adoption of safety technologies is the lack of empirical information for mitigating the risk of a failed adoption. The purpose of this paper is to fill the research gap through identifying key factors that predict successful adoption of safety technologies.

Design/methodology/approach

In total, 26 key technology adoption predictors were identified and classified using a combination of literature review and an expert panel. The level of influence for each identified safety technology adoption predictor was assessed and ranked using the Relative Importance Index. Analysis of variance was performed as well to assess the potential difference in perceived level of importance for the predictors when the study participants were clustered according to work experience and company size.

Findings

Statistical analysis indicates that 12 out of the 26 predictors identified are highly influential regarding technology adoption decision-making in construction. Technology reliability, effectiveness and durability were ranked as the most influential predictors. The participants who work for small companies and who had less than ten years of experience rated individual- and technology-related predictors significantly lower than the experienced participants working for medium and large companies.

Practical implications

The present study provides construction researchers and practitioners with valuable information regarding safety technology predictors and their magnitude, both of which are essential elements of a successful safety technology adoption process. Improved technology adoption can enhance workplace safety and minimize worker injuries, providing substantial benefits to the construction industry.

Originality/value

This study contributes to technology adoption knowledge by identifying and quantifying the influential predictors of safety technologies in relation to different organizational contexts. The study informs the need to develop an integrated conceptual model for safety technology adoption.

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Fri Jun 01 2018
Journal Name
Journal Of Legal Sciences
Compensation for Victims of Technological Risks in the Scope of Medical Practice
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Fri May 01 2020
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Semi-Analytical Prediction of Flank Tool Wear in Orthogonal Cutting of Aluminum
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Crossref
Publication Date
Wed Nov 29 2017
Journal Name
Pakistan Journal Of Biotechnology
ANTIBACTERIAL ACTIVITY OF Arachis hypogaea L. SEED COAT EXTRACT CULTIVATED IN IRAQ
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Fri Jan 01 2010
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BIOCHEMICAL STUDY ON SUPEROXIDE DISMUTASE ENZYME IN PATIENTS WITH DIFFERENT BRAIN TUMORS
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Publication Date
Tue Feb 28 2023
Journal Name
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Gentamicin Upregulates the Gene Expression of hla and nuc in Staphylococcus aureus
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The current study aimed to detect the effect of gentamicin stress on the expression of hla (encodes hemolysin) and nuc (encodes nuclease) genes of Staphylococcus aureus. Fifty-eight isolates identified as S. aureus were isolated locally from different clinical specimens. Disk diffusion method was used to detect the resistance to S. aureus. The minimum inhibitory concentration (MIC) of gentamicin was estimated by broth microdilution method. hla and nuc genes were determined by polymerase chain reaction technique. The biofilm was evaluated using the microtiter plate method in the presence and absence of gentamicin at sub-MIC. The results showed that 18 (31%) and 40 (69%) S. aureus isolates were sensitive and resistant to gentamicin, respectiv

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Publication Date
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Tourist development of heritage in Algeria: case of the Hypone site -ANNABA-
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Publication Date
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