Management of information technology will continue to be an essential endeavour for organisations as we experience the accelerating advancement of digital technology. Managers will need to understand how technology is changing their business operations and the emergence of digital consumers who demand more innovative, technologically driven experiences. This 29th volume in the Advanced Series in Management is built to provide theoretical insight for managers and researchers to co-create their technology values and better understand its prospects and challenges. Management and Information Technology in the Digital Era: Challenges and Perspectives explores the management and practical implications of digital information management across a broad range of technologies, sectors, and countries. Chapters from a spectrum of international authors provide a significant contribution to the growing body of work on information technology, artificial intelligence, and technology management, reflecting the diversity of current research and delving into the varying perspectives of management and information technology in the digital era. Significantly recognised are the growing prospects of Artificial intelligence and how it is revolutionising different sectors, further presenting critical challenges for managers on how to harness the prospects of this technology for their business prospects.

This book proposes essential methods, models, and case studies for Sustainable Logistics and Production in Industry 4.0. In addition to identifying and discussing various challenges and future prospects, it also features numerous case studies and quantitative research from different sectors. The authors (which include academics and managers) present insightful tips on the technical, organizational and social aspects of implementing Sustainable Logistics and Production in Industry 4.0. In today's world, changes are coming faster and more unpredictably. Production is becoming more automated, computerized and complex. In short, Industry 4.0 is creating many new opportunities, but at the same time several new challenges. This book offers a valuable resource for all academics and practitioners who want to deepen their knowledge of Sustainable Logistics and Production in Industry 4.0.

This book proposes essential methods, models, and case studies for Sustainable Logistics and Production in Industry 4.0. In addition to identifying and discussing various challenges and future prospects, it also features numerous case studies and quantitative research from different sectors. The authors (which include academics and managers) present insightful tips on the technical, organizational and social aspects of implementing Sustainable Logistics and Production in Industry 4.0. In today's world, changes are coming faster and more unpredictably. Production is becoming more automated, computerized and complex. In short, Industry 4.0 is creating many new opportunities, but at the same time several new challenges. This book offers a valuable resource for all academics and practitioners who want to deepen their knowledge of Sustainable Logistics and Production in Industry 4.0.

Smart cities rely on information and communication technologies to enhance the quality of life of their citizens. This includes better use of transportation infrastructure, use of public transport, clean fuels, efficient utilization of parking spaces, and carsharing through the use of technologies such as internet of things, cloud computing, and blockchain while keeping in account environmental goals. Mobility management in urban areas is challenging yet critical. For the smooth transportation of goods and people, a detailed study of the city system elements from multiple perspectives is required. In this book, theoretical models, literature reviews and case studies to improve mobility in smart cities are provided. The key problems addressed are the allocation of pay and display parking machines,electric vehicle charging station location optimization, facility location planning under stochastic disruption, pedestrian safety planning using internet of things, assessing the environmental effect of airports on cities and populations, antecedents and outcomes of reverse supply chain and social sustainability practices, discrete event simulation for carsharing fleet management strategies, data mining models for road transport GHG emissions prediction, bibliometric analysis on smart city mobility, and blockchain for supply chain traceability application. Simulation, optimization, machine learning and qualitative methodologies are used. The book will serve as a very useful resource to academicians and practitioners working in the field.

Modern cities are facing the growing problem of congestion, poor air quality and lack of public space. To ameliorate the condition of goods transport in cities, sustainable city logistics planning is essential. It requires a collaborative approach among city logistics stakeholders for consolidated goods distribution inside city centers to minimize their negative impacts on city residents and their environment. The book presents theoretical studies, state of the art, and practical applications in the area of sustainable city logistics. It is composed of nine chapters.

City logistics planning is vital to improve goods transport in urban areas. It involves consolidation and coordination of goods transport activities to reduce the negative impacts of freight transport on city residents and their environment. The book presents novel and innovative approaches in the area of sustainable city logistics planning and is composed of three volumes. The first volume addresses key problem areas related to city logistics assessment and evaluation, mobility management, vehicle routing, demand management, smart city solutions, sustainable supply chain management, risk management, intelligent transportation systems, delivery location optimization, electricity planning, and transit policy simulation. The second volume is dedicated to electric vehicle charging, stakeholder engagement, e-commerce deliveries, corporate social responsibility, urban freight data collection, dynamic project management, postal logistics, sustainable hub location, urban freight transport planning, and stakeholder mobilization. The third volume deals with truck route choice planning, empty container repositioning, logistics planning under disruption, dynamic risk sensitive sequential decision-making, parking revenue management, sustainable parcel delivery planning, and smart multi-purpose utility tunnels. A variety of methods based on systems modelling and simulation, optimization, and data mining are proposed. Survey studies, best practices, state of the art, and practical applications complement the presented theoretical approaches. The book will serve as a useful resource to academicians and practitioners working in the area.

City logistics planning is vital to improve goods transport in urban areas. It involves consolidation and coordination of goods transport activities to reduce the negative impacts of freight transport on city residents and their environment. The book presents novel and innovative approaches in the area of sustainable city logistics planning and is composed of three volumes. The first volume addresses key problem areas related to city logistics assessment and evaluation, mobility management, vehicle routing, demand management, smart city solutions, sustainable supply chain management, risk management, intelligent transportation systems, delivery location optimisation, electricity planning, and transit policy simulation. The second volume is dedicated to electric vehicle charging, stakeholder engagement, e-commerce deliveries, corporate social responsibility, urban freight data collection, dynamic project management, postal logistics, sustainable hub location, urban freight transport planning, and stakeholder mobilisation. The third volume deals with truck route choice planning, empty container repositioning, logistics planning under disruption, dynamic risk sensitive sequential decision-making, parking revenue management, sustainable parcel delivery planning, and smart multi-purpose utility tunnels. A variety of methods based on systems modelling and simulation, optimisation, and data mining are proposed. Survey studies, best practices, state of the art, and practical applications complement the presented theoretical approaches. The book will serve as a useful resource to academicians and practitioners working in the area.