The AI and Machine Learning Advances Journal works towards becoming a leading journal for AI/ ML research findings. In this way, it performs a function of connecting academic, industrial, top machine learning algorithms and governmental researchers to exchange know-how and innovations that are shaping the development of intelligent systems at the present time.
This review determined how culture influences the adoption of Artificial Intelligence (AI) in construction, specifically in developing regions. The review is mainly based on three research questions, including the significance of AI in the construction industry, factors affecting the adaptation of AI, and strategies to overcome AI resistance. It stressed that culture plays a vital role in AI adoption by impacting decision-making and workforce readiness. The review analyzed previous studies assessing the application of AI in construction and concludes that cultural resistance is a major factor hindering technology implementation. It outlined influence factors, namely risk aversion, traditional approaches, and organizational structure, that fuel cultural resistance to adopting AI. The review highlighted that creating organizational cultures that are more receptive to innovation, increasing employees’ engagement, improving tech-skill training, and developing leadership are the ways to overcome the cultural resistance to AI adaptation. Moreover, this review encouraged the development of AI adoption frameworks according to regions and future investigations on the impact of leadership positions and interprofessional relations in AI adaptation. This review contributed to enhancing the process of AI adaptation in the construction industry by identifying cultural resistance factors and providing strategies to deal with them.
Artificial Intelligence, Construction Industry, Cultural Influence, Risk-Averse, adaptation of AI