Harnessing Artificial Intelligence for Transformative Impact in the Ghanaian Construction Sector

The integration of artificial intelligence (AI) in the construction industry holds significant promise for enhancing various aspects of project management and execution. AI offers unprecedented opportunities for streamlining processes, enhancing productivity, and elevating safety standards. The study explored AI implementation opportunities and how AI technologies can drive innovation, enhance decision-making processes, and propel the sector toward a more efficient and digitised future in the construction industry. To fill the gap, the study adopted a quantitative research approach to offer a holistic assessment of the effects and opportunities for the advancement of AI in Ghanaian construction settings. Based on the quantitative survey data obtained from 97 participants from 10 construction companies in the Central Region of Ghana and the literature review, the study revealed several benefits of AI implementation. The importance of using AI has been seen in design and planning, safety management, and the quality of delivered projects. Regression analysis also expands on the relationships between the identified AI-based efficiencies, underlining that increased utilisation can enhance productivity and safety and reduce adverse environmental impacts. Further, in the context of Ghana, the study outlined areas of importance for constructing AI in the construction industry: construction monitoring, energy efficiency, and supply chain. These findings have depicted the sector’s awareness of AI and its value as a tool for improving effectiveness in operations and implementing sustainable measures. Overall, the knowledge generated by this study proves beneficial for directing strategic planning and advancing innovation in the context of the Ghanaian construction industry. In as much as it acknowledges the gap and the prevailing theoretical literature, it ushers in a guide for availing AI-driven growth in the construction sector in terms of productivity, quality, and sustainability in Ghana and the global space.

Authors

Institutions

Publication Details

Journal
Journal of Applied Science and Technology Trends
Published
2024-10-26
DOI
https://doi.org/10.38094/jastt52209
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Harnessing Artificial Intelligence for Transformative Impact in the Ghanaian Construction Sector

Zakari Mustapha, Morena William Nkomo, Benjamin Boahene Akomah, W. D. Thwala et al.
1 citations
Journal of Applied Science and Technology Trends
BIM and Construction Integration
0.27
article

Harnessing Artificial Intelligence for Transformative Impact in the Ghanaian Construction Sector

Zakari Mustapha, Morena William Nkomo, Benjamin Boahene Akomah, W. D. Thwala, Ofosu Emmanuel Kwaku
article en
1 citations

Abstract

The integration of artificial intelligence (AI) in the construction industry holds significant promise for enhancing various aspects of project management and execution. AI offers unprecedented opportunities for streamlining processes, enhancing productivity, and elevating safety standards. The study explored AI implementation opportunities and how AI technologies can drive innovation, enhance decision-making processes, and propel the sector toward a more efficient and digitised future in the construction industry. To fill the gap, the study adopted a quantitative research approach to offer a holistic assessment of the effects and opportunities for the advancement of AI in Ghanaian construction settings. Based on the quantitative survey data obtained from 97 participants from 10 construction companies in the Central Region of Ghana and the literature review, the study revealed several benefits of AI implementation. The importance of using AI has been seen in design and planning, safety management, and the quality of delivered projects. Regression analysis also expands on the relationships between the identified AI-based efficiencies, underlining that increased utilisation can enhance productivity and safety and reduce adverse environmental impacts. Further, in the context of Ghana, the study outlined areas of importance for constructing AI in the construction industry: construction monitoring, energy efficiency, and supply chain. These findings have depicted the sector’s awareness of AI and its value as a tool for improving effectiveness in operations and implementing sustainable measures. Overall, the knowledge generated by this study proves beneficial for directing strategic planning and advancing innovation in the context of the Ghanaian construction industry. In as much as it acknowledges the gap and the prevailing theoretical literature, it ushers in a guide for availing AI-driven growth in the construction sector in terms of productivity, quality, and sustainability in Ghana and the global space.

Journal of Applied Science and Technology TrendsVol. 5(2)
Cape Coast Technical University (GH), University of Johannesburg (ZA), Walter Sisulu University (ZA)
Openalex Percentile: Top 42%
BIM and Construction Integration
0.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.