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Investigation of Efficiency Improvements in Large-scale Infrastructure Projects in Ghana through Construction 4.0 Technologies

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  • Djagbletey Jacob Tetteh-Agblakah

    (African University College of Communications, School of Research and Graduate Studies, Ghana)

Abstract

This study investigates the efficiency improvements in large-scale infrastructure projects in Ghana through construction 4.0 technologies. Ghana's construction industry, while crucial for economic development, faces significant hurdles in project efficiency. Traditional practices often result in delays, budget overruns, and subpar outcomes. This research explores how C4.0 technologies, encompassing the Internet of Things (IoT), Building Information Modelling (BIM), augmented reality (AR), and other advanced digital tools, can revolutionize the sector. Employing a mixed-methods approach, the study surveyed 120 participants from government agencies, construction firms, technology providers, and consultants. Data collection involved both structured and semi-structured questionnaires administered via Google Forms. Quantitative data was analysed statistically, while qualitative data underwent thematic analysis. Findings reveal a largely positive perception of C4.0's efficiency-boosting potential, with respondents anticipating significant time savings (21-30%). However, the study also highlights critical areas for improvement, such as inter-stakeholder communication and cost management. The study concludes by recommending that Ghanaian construction firms adopt and integrate C4.0 technologies, supported by pilot projects and collaboration with technology providers. The findings of this study can inform policymakers, industry stakeholders, and other decision-makers on the importance of supporting the integration of Construction 4.0 technologies in the Ghanaian construction sector. This can lead to the development of supportive policies, incentives, and initiatives that facilitate technology adoption and drive sector-wide transformation.

Suggested Citation

Handle: RePEc:cxi:ijans0:v:2:y:2024:i:2:id:183
DOI: 10.61424/ijans.v2i2.183
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