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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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Wed Jun 07 2023
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The Contribution of Behavioral Disorders to Predicting Bullying Patterns in a Sample of Adolescents with Autism Spectrum Disorder: College of Education and Arts - Northern Border University - Kingdom of Saudi Arabia.
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Publication Date
Fri Jun 14 2019
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Ibn Al-haitham Journal For Pure And Applied Sciences
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Publication Date
Sat Jun 03 2023
Journal Name
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New mode for the on-line determination of oxonium ion in different strong acids using CFIA via the use of homemade linear array Ayah 5Sx4-ST- 5D solar CFI analyser
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Publication Date
Mon May 08 2017
Journal Name
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A Study of Some Growth of Two Hyborids of Tomato Plant (Lycopersicon Esculentum Mill.) Grown Under The Influence of Sodium Chloride in The Nutrient Solution and Proline Spraying to Shoot.
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Publication Date
Tue Apr 01 2014
Journal Name
Journal Of Economics And Administrative Sciences
Relationship between Emotional Intelligence and Decision Making Styles And their effect on Performance Excellence the university" An exploratory search for a sample of the administrative leaderships in the Mustansiriya University"
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Publication Date
Wed Feb 01 2017
Journal Name
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The development of ethics management system to enhance the social responsibility of government institutions in Iraqi society An analytical study on a sample of top leadership and the presidency of
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Abstract

The objective of this research is to identify the analysis of the ethics of the administration in the development of the social responsibility of one government organizations, and to achieve the objectives of the research was the use of a questionnaire developed for the purpose of data collection and distribution to the research sample, was chosen as a total sample population (50) individuals were relying on statistical package to do a statistical analysis for this research, user, ANSI (SPSS) simple regression analysis, standard deviation, Pearson correlation coefficient.

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Crossref
Publication Date
Wed May 17 2017
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Publication Date
Thu Apr 30 2020
Journal Name
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The impact of empowerment strategies on the characteristics of work enrichment An exploratory research to the views of a sample of the leaders of the Ministry of Oil in Iraq
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Crossref
Publication Date
Fri Apr 01 2016
Journal Name
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The Success Of The Project Management In light of the Learning Organization Characteristics field reserche for the opinion of simple of worker at the State Commission For Road and Bridge
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Abstract                                                                                                                       &nbsp

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Crossref