AI-Driven Risk Management and Sustainability in Pakistan's Construction Sector

Research conducted by Sheeza Ehsan and colleagues at the National University of Computer and Emerging Sciences in Lahore, Pakistan, has shed light on the impact of artificial intelligence (AI) on sustainable decision-making in the construction sector of Pakistan. The study aimed to investigate how AI-driven risk management and organizational culture influence sustainable decision-making, with a particular focus on the moderating role of technological infrastructure and regulatory frameworks. The results highlight the importance of investing in technological infrastructure and regulatory measures to enhance the adoption of AI tools and promote sustainability in the construction industry.

Key Takeaways:

• The study employed a cross-sectional methodology, collecting data from 300 participants through structured surveys to test hypotheses related to interrelations among variables involved.
• The findings suggest that AI-driven risk management has a positive impact on sustainable decision-making, while organizational culture does not have a significant effect.
• Technological infrastructure significantly moderates the relationship between AI-driven risk management and sustainable decision-making, emphasizing the importance of a solid infrastructure in allowing the employment of AI tools.
• Regulatory regimes have a lesser impact on both AI adoption and sustainable decision-making due to poor implementation and outdated policies in Pakistan's construction industry.
• The study's implications suggest the necessity of investing in technological infrastructure, regulatory measures, and social changes to make the construction industry more sustainable.
• The findings provide significant insights for policymakers, business managers, and researchers to understand the AI adoption versus sustainability relationship in developing economies.
• Additional authors for this research include Mujahid Hussain, Amna Niazi, and Hamid Hassan.

Statistics:

• 300 participants were surveyed through structured questionnaires.
• A positive impact was observed between AI-driven risk management and sustainable decision-making.
• Technological infrastructure significantly moderated the relationship between AI-driven risk management and sustainable decision-making.
• Regulatory regimes had a lesser impact on both AI adoption and sustainable decision-making.