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Evaluating the drivers for the implementation of automation techniques in the Nigerian construction sector

Ayodeji Emmanuel Oke (Department of Quantity Surveying, Federal University of Technology Akure, Akure, Nigeria) (Faculty of Engineering and Built Environment, CIDB Centre of Excellence, University of Johannesburg, Johannesburg, South Africa) (School of Social Sciences, Universiti Sains Malaysia, Gelugor, Malaysia)
John Aliu (College of Engineering, Institute for Resilient Infrastructure Systems, University of Georgia, Athens, Georgia, USA)
Patricia Fadamiro (Department of Quantity Surveying, Federal University of Technology Akure, Akure, Nigeria)
Feyisetan Leo-Olagbaye (Department of Quantity Surveying, University of Ibadan, Ibadan, Nigeria)
Paramjit Singh Jamir Singh (School of Social Sciences, Universiti Sains Malaysia, Gelugor, Malaysia)
Mohamad Shaharudin Samsurijan (School of Social Sciences, Universiti Sains Malaysia, Gelugor, Malaysia)

Built Environment Project and Asset Management

ISSN: 2044-124X

Article publication date: 22 September 2023

Issue publication date: 10 November 2023

182

Abstract

Purpose

Global construction sector studies have significantly explored the impact of automation techniques, revealing their transformative potential. However, research on their application within specific local contexts, especially in developing countries like Nigeria, is sparse. Nigeria presents a unique context marked by challenges such as skilled labor shortage, safety concerns and cost efficiency. Therefore, investigating the implementation of automation techniques in the Nigerian construction industry is crucial to address these challenges, bring transformative advancements and contribute to a more balanced global discourse on automation adoption. This study aims to fill this significant research gap.

Design/methodology/approach

A mixed research method was deployed which combined both qualitative and quantitative data collection and analysis. Two focus group discussions conducted with 23 experts from both industry and academic institutions (qualitative) yielded 17 drivers which were used to formulate a well-structured questionnaire (quantitative), which was disseminated to construction professionals. Collected data underwent analysis through various statistical techniques, including percentages, frequencies, mean item scores and exploratory factor analysis.

Findings

Principal component analysis (PCA) yielded four driver clusters namely: (1) performance-related drivers, (2) visualization and efficiency-related drivers, (3) technological and human-related drivers and (4) economic-related drivers.

Practical implications

The study provides empirical insights that can aid stakeholders, decision-makers, policymakers and the government in formulating strategies to promote automation techniques in the Nigerian construction industry and beyond.

Originality/value

This study's originality lies in its exploration of the untapped potential of automation techniques in the Nigerian construction industry, offering novel perspectives on how these technologies can address specific challenges such as skilled labor shortage, safety concerns and cost efficiency, thereby paving the way for transformative advancements in the sector.

Keywords

Citation

Oke, A.E., Aliu, J., Fadamiro, P., Leo-Olagbaye, F., Jamir Singh, P.S. and Samsurijan, M.S. (2023), "Evaluating the drivers for the implementation of automation techniques in the Nigerian construction sector", Built Environment Project and Asset Management, Vol. 13 No. 6, pp. 913-928. https://doi.org/10.1108/BEPAM-04-2023-0085

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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