Artificial intelligence (AI) technologies play a transformative role in several areas of knowledge, including management and engineering. Their adoption has been driven by the advancement of machine learning algorithms, increased computing power, and the availability of large volumes of data, making AI technologies indispensable for process optimization and strategic decision-making. However, organizations must invest in research, development and professional training to ensure AI is used ethically and sustainably to drive progress.

This book makes several contributions, by not only advancing scientific and technical knowledge, but also improving efficiency and decision-making, and developing new tools and technologies.

The main aim of Artificial Intelligence Technologies in Management and Engineering is to provide a channel for sharing and disseminating knowledge of new advances in AI technologies in management and engineering among academics/researchers, managers and engineers. It seeks to advance research in the field, provide practical insights for managers and engineers, and also serve as a basis for future technological innovations.

Carolina Machado is an associate professor with habilitation at the University of Minho, Portugal. She has lectured on HRM subjects since 1989. She is currently the Head of the HRM Work Group at the University of Minho and is also the Editor-in-Chief of the International Journal of Applied Management Sciences and Engineering.

J. Paulo Davim is a professor at the University of Aveiro, Portugal and is also distinguished as an honorary professor in several universities/colleges/institutes in China, India and Spain. He has more than 35 years of teaching and research experience in mechanical and industrial engineering.