Department of Management & Accounting

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Department of Management and Accounting

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Browsing Department of Management & Accounting by Subject "Building Information Modeling (BIM)"

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    Industry 4.0 Technology, Employee Skill Development and Performance of Construction Companies, Southwest Nigeria
    (Lead City University, Ibadan, 2024-12) Oluyinka Soloman ADEKUNLE
    This study examined the impact of Industry 4.0 technologies on organizational performance within the construction sector in Southwest Nigeria, particularly focusing on the Internet of Things (IoT), Building Information Modeling (BIM), Artificial Intelligence (AI), and 3D technology. Industry 4.0 offers solutions to long-standing construction challenges by enabling efficiency, cost management, quality, and timely project delivery. This research explored the moderating effect of employee skill development on the relationship between Industry 4.0 and organizational performance, proposing six hypotheses. Utilizing a mixed-method approach, data were gathered from 90 respondents across five major construction companies and analyzed with linear regression to test each hypothesis. Results indicate significant relationships for most hypotheses. Hypothesis One demonstrated that IoT significantly improves operational efficiency (R = 0.663, R² = 0.440; F(3,184) = 47.403, p < 0.01), explaining 44% of the variance, with a positive coefficient (β = 0.230, t = 4.272, p < 0.01). Hypothesis Two revealed that BIM positively affects project delivery time, though with moderate influence (R = 0.250, R² = 0.063; F(3,184) = 4.035, p < 0.01), accounting for 6.3% of variance and a coefficient (β = 0.229, t = 2.459, p < 0.05). Hypothesis Three shows AI as a substantial predictor of cost management (R = 0.740, R² = 0.548; F(3,184) = 73.155, p < 0.01), explaining 54.8% of variance, and an impactful coefficient (β = 0.146, t = 3.118, p < 0.05). For Hypothesis Four, results indicated that 3D technology significantly improves project quality (R = 0.345, R² = 0.339; F(3,184) = 8.132, p < 0.01), accounting for 33.9% of quality variation, underscoring its role in enhancing accuracy and reducing rework. Hypothesis Five analysis highlights that AI (β = 0.677, t = 2.133, p < 0.05) and 3D technology (β = 1.374, t = 4.070, p < 0.05) have a significant positive effect on organizational performance, whereas IoT and BIM are positively but insignificantly related. This model explains 54.3% of the variance in performance (R = 0.751, Adj. R² = 0.543; F(4, 89) = 27.911, p < 0.05), emphasizing the importance of AI and 3D technology as key contributors to performance. Hypothesis Six findings from hierarchical regression show that employee skill development significantly moderated the relationship between Industry 4.0 and organizational performance (R² change = 0.009, F-change = 5.665, p < 0.01). This moderation suggested that upskilling and reskilling amplify the beneficial effects of advanced technologies. In conclusion, Industry 4.0 technologies play a critical role in enhancing construction efficiency, cost management, quality, and timeliness. The study recommends that Nigerian construction firms invest in these technologies and employee training to maximize performance. Implementing IoT, BIM, AI, and 3D technology alongside workforce upskilling is essential for leveraging Industry 4.0’s full potential. Future research should investigate the long-term impact of these technologies and explore emerging innovations like advanced AI applications and robotics. Keywords: Artificial Intelligence (AI), Building Information Modeling (BIM), Construction Sector, Industry 4.0, Internet of Things (IoT) Word Count: 467