This book presents a novel approach for studying the impact of leadership styles on supply chain resilience using a combination of transactional and transformational leadership. The book consists of two main sections: The first introduces key concepts and provides a framework for understanding the research problem and methodology.
The second section presents five structural equation models developed and validated using data collected from a survey of managers and engineers in the Mexican Maquiladora Industry. These models explore the relationships between key variables, such as agility, flexibility, alertness, and efficiency, and how they are affected by different leadership styles. The findings of this study suggest that a combination of transactional and transformational leadership is highly effective in enhancing resilience and achieving better results during disruptive events. Written in a clear and accessible style, this book is an essential resource for scholars, researchers, and practitioners interested in supply chain management, leadership, and resilience. It contributes to the existing literature on these topics and provides practical insights for improving supply chain performance in today's complex and dynamic business environments.
About the Author: Maribel Mendoza Solis is a full-time professor in the Department of Industrial Engineering and Logistics at the Tecnológico Nacional de México campus Ciudad Juárez, and she obtained a Master's degree in Industrial Engineering from the Universidad Autónoma de Ciudad Juárez. Currently, she is a Ph.D. student in Advanced
Engineering Sciences at the Universidad Autónoma de Ciudad Juárez. Her research area is the supply chain leadership in the manufacturing industry.
Jorge Luis García Alcaraz is a full-time researcher at the Department of Industrial Engineering at the Universidad Autónoma de Ciudad Juárez. He received an MSc in Industrial Engineering from the Instituto Tecnológico de Colima (Mexico), a Ph.D. in Industrial Engineering from Instituto Tecnológico de Ciudad Juárez (Mexico), a Ph.D. in Innovation in Product Engineering and Industrial Process from University of La Rioja (Spain), a Ph.D. in Sciences and Industrial Technologies from the Public University of Navarre (Spain), a Ph.D. in Mechanical Engineering from University of Zaragoza (Spain) and a Postdoc in Manufacturing Process from University of La Rioja (Spain). His main research areas are multi-criteria decision-making and techniques applied to lean manufacturing, production processes, and supply chain modeling. He is a founding member of the Mexican Society of Operational Research and an active member of the Mexican Academy of Industrial Engineering. He is a national researcher recognized by the National Council of Science and Technology of Mexico (CONACYT) as Level III.
Juan Manuel Madrid Solórzano is a full-time Department of Industrial Design professor at the Universidad Autónoma de Ciudad Juárez. He received an M.Sc. in Industrial Engineering from the Instituto Tecnológico de Ciudad Juárez. He is currently a student in a doctoral program in Advanced Engineering Sciences at the Universidad Autónoma de Ciudad Juárez. His research area is environmental impact assessments in the distillation industry. Professor
Juan Manuel is a member of the Mexican Council for the Accreditation of Design Programs in Mexico.
Emilio Jimenez Macias is a full Professor at the University of La Rioja (Spain), in the Department of Electrical Engineering. He is currently the head of the Official Research Group Design Modeling and Simulation in Science and Engineering (DeM&S), coordinator of the System Engineering and Automation Area, and director of the Master of Industrial Engineering. He was the president of the Federation of European Simulation Societies (EUROSIM) during 2016-2019, and the president of the Spanish Modelling and Simulation Group in Eurosim (2015-2018). He is the Spanish representative of the Discrete Event and Hybrid Systems Technical Committee (TC1.3) of the International Federation of Automatic Control (IFAC). His main research areas include simulation, systems engineering and automation, Industry 4.0, renewable energy, and environmental impact.
