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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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Publication Date
Sun Dec 31 2017
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Heat Transfer and Hydrodynamic in Internal Jacket Airlift Bioreactor with Microbubble Technology
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Publication Date
Sun Jul 09 2023
Journal Name
Journal Of Engineering
Study the Application of Ultrasonic Technology for Phenol Removal in Petroleum Industry
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Crossref
Publication Date
Thu Jun 10 2010
Journal Name
Iraqi Journal Of Laser
Disc Laser System Construction and Characterization
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is designed to be compact. The laser crystal was pumped by a 808 nm diode laser. The effect of input
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Publication Date
Sun Jun 02 2013
Journal Name
Baghdad Science Journal
Design and Construction Optical Pumping System
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Crossref
Publication Date
Sun Dec 01 2013
Journal Name
Baghdad Science Journal
Design and construction Optically Gas Laser
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Crossref
Publication Date
Sun Mar 02 2008
Journal Name
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Crossref
Publication Date
Sun Oct 01 2017
Journal Name
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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
Place philosophy of dramatic show construction
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Publication Date
Thu Apr 18 2019
Journal Name
Al-kindy College Medical Journal
Predictors of poor first trimester outcome in asymptomatic women : the value of embryonic heart rate , mid sac diameter / yolk sac ratio & mid sac diameter / crown rump length
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Background:  Ultrasound provides a powerful tool for assessing early pregnancy and detecting pregnancy failure at first trimester and promoting rapid effective management. Several  criteria have been established  to predict  the pregnancy outcome particularly in symptomatic women .

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Crossref (1)
Crossref
Publication Date
Fri Jan 01 2016
Journal Name
Procedia Economics And Finance
The Mediating Role of Knowledge Sharing on Relationship between IT Capability and IT Support as Predictors of Innovation Performance: An Empirical Study on Mobile Companies in Iraq
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