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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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Mon Jul 16 2012
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Causality Relation between FDI Inflows and Economic Growth in Qatar
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Wed Mar 11 2020
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Fri Jul 01 2016
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Mon Dec 11 2017
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Experimental and Numerical Research on Flow-Induced Vibration in Valves
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Publication Date
Mon Mar 08 2021
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Baghdad Science Journal
The first recording of leaf blight disease Defla in Iraq
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Wed Feb 20 2019
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The concept of peaceful coexistence and its obstacles in Iraq
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Thu Nov 08 2018
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Evaluation of School Health Surveillance System characteristics in Baghdad Governorate
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Methodology: A probability multistage sample of (54) subjects which is selected the school health units from
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Publication Date
Sat Dec 01 2018
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Risk management in industrial economic units by using Pareto Chart
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Publication Date
Sun Sep 27 2020
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Textual Analysis of Complex Nominals Translation Errors in Economic Texts
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