Use of Digital Technology in Construction Health and Safety in India

Abstract

Introduction: Globally, construction safety is important. This is one of India's most vulnerable unorganised labour categories. India must prioritize safety due to the industry's high labor intensity. Recently, the construction industry has shown interest in using AI to improve health and safety management. A new contribution to the field, this paper examines the key factors that enable AI in building health and safety management systems.

 Objectives: The initial goal of this study is to add to the literature and start a discussion in India. This paper's second goal is to develop and test a comprehensive model to efficiently integrate AI into building health and safety management systems.

Methods: This study identified 25 success variables via qualitative literature review. Exploratory factor analysis was used to examine the 25 success criteria in a pilot study with 15 Indian construction workers. After collecting data from the pilot group, 258 Indian construction workers were given a longer survey. This study used qualitative and quantitative methodologies to design and evaluate AI integration success criteria for health and safety management systems.

Results: An EFA found 25 variables in six components. Since their eigenvalues are bigger than 1, these six components explain a lot of the observed variation.

Conclusions: This research designed and evaluated a complete model to easily incorporate AI in building health and safety management systems. AI needs knowledge, operation, administration, integration, dependability, and adaptability to be widely employed in health and safety management systems, says the study. Health and safety management. Research shows that each of these criteria strongly impacts health and safety management system AI adoption. Construction industry experts provided recommendations on how to use AI in health and safety management in the empirical research.