Informed Urban Transport Systems examines how information gathered from new technologies can be used for optimal planning and operation in urban settings. Transportation researchers, and those from related disciplines, such as artificial intelligence, energy, applied mathematics, electrical engineering and environmental science will benefit from the book's deep dive into the transportation domain, allowing for smarter technological solutions for modern transportation problems. The book helps create solutions with fewer financial, social, political and environmental costs for the populations they serve. Readers will learn from, and be able to interpret, the information and data collected from modern mobile and sensor technologies and understand how to use system optimization strategies using this information. The book concludes with an evaluation of the social and system impacts of modern transportation systems.

Organizations today need to continually implement new strategies that increase the sustainability and competitiveness of a business. By sharing experiences in a collaborative environment where the collective experience of its membership can lead to the design and implementation of new technology and product improvement, a company can differentiate itself to successfully compete in the business realm. Strategic Collaborative Innovations in Organizational Systems is a collection of research on the methods and applications of collaborative strategies in advancing the efficiency and effectiveness of a firm. Highlighting a range of topics including organizational design, productivity strategies, and workforce diversity, this book is ideally designed for academicians, business managers, entrepreneurs, human resources managers, researchers, graduate students, and scholars seeking current research on business and competitive strategies within a collaborative and organizational context.

Companies operating in countries with volatile economies face an environment subject to turbulence. It is important to understand how these companies can overcome adversity, establish competitive advantage, and achieve superior performance. The selection of competitive drivers can help to improve the ability to capture, process, and manage information that can generate knowledge and innovation in products and processes, as well as increase strategic capacity and organizational performance. Strategy and Superior Performance of Micro and Small Businesses in Volatile Economies focuses on the ways that organizations capture information and disseminate it in their work teams, transforming this knowledge into innovative products and services that establish competitive advantage. It will improve the understanding of the role of strategy, innovation, entrepreneurship, and the effort to reduce poverty levels in societies with volatile economies and which are subject to serious social disparities. Highlighting topics such as economic development, market performance, and network economy, this publication is designed for managers, entrepreneurs, business professionals, academicians, researchers, and students.

In a world dependent on digital technologies, business corporations continually try to stay ahead of their competitors by adopting the most updated technology into their business processes. Many companies are adopting digital transformation models, data analytics, big data, data empowerment, and data sharing as key strategies and as service disruptors for information delivery and record management. Higher education institutions have adopted digital service innovation as a core to driving their business processes. Such services are key to ensuring efficiency and improving organizational performance. Digital Transformation and Innovative Services for Business and Learning is a collection of innovative research on the latest digital services and their role in supporting the digital transformation of businesses and education. While highlighting topics including brand equality, digital banking, and generational workforce, this book is ideally designed for managers, executives, IT consultants, industry professionals, academicians, researchers, and students.

Over the past decade, increasing competition has created immense opportunities for businesses globally. As such, it important to research new methods and systems for creating optimal business cultures. Cases on Quality Initiatives for Organizational Longevity is a scholarly publication that examines cases on practices in organizations and how they have facilitated transformation over the years. Featuring coverage on a broad range of topics such as customer loyalty, benchmarking, and employee training, this book is geared toward business owners, managers, entrepreneurs, professionals, researchers, and students seeking current and relevant research on contemporary cases in the field of business quality management.

Over the past several years, digital technologies have reestablished the ways in which corporations operate. On one hand, technology has allowed companies to build a stronger knowledge of its customer base, contributing to better consumer engagement strategies. On the other hand, these technologies have also integrated into the management and daily operations of companies, resulting in increased performance and organizational improvement. Remaining up to date with the implementation of these cutting-edge technologies is key to a company's continued success. Digital Innovations for Customer Engagement, Management, and Organizational Improvement is an essential reference source that discusses and strategizes the latest technologies and innovations and their integration, implementation, and use in businesses, as well as lifelong learning strategies in a digital environment. Featuring research on topics such as consumer engagement, e-commerce, and learning management systems, this book is ideally designed for managers, business executives, marketers, consumer analysts, IT consultants, industry professionals, academicians, researchers, and students.

This book presents the state-of-the-art, current challenges, and future perspectives for the field of many-criteria optimization and decision analysis. The field recognizes that real-life problems often involve trying to balance a multiplicity of considerations simultaneously – such as performance, cost, risk, sustainability, and quality. The field develops theory, methods and tools that can support decision makers in finding appropriate solutions when faced with many (typically more than three) such criteria at the same time.  The book consists of two parts: key research topics, and emerging topics. Part I begins with a general introduction to many-criteria optimization, perspectives from research leaders in real-world problems, and a contemporary survey of the attributes of problems of this kind. This part continues with chapters on fundamental aspects of many-criteria optimization, namely on order relations, quality measures, benchmarking, visualization, and theoretical considerations. Part II offers more specialized chapters on correlated objectives, heterogeneous objectives, Bayesian optimization, and game theory. Written by leading experts across the field of many-criteria optimization, this book will be an essential resource for researchers in the fields of evolutionary computing, operations research, multiobjective optimization, and decision science.

With advancing technology and the digitization of the modern era, businesses are required to adopt the latest innovations computer science and information technology have to offer. The field of home healthcare must utilize the finest available operations management systems in order to remain relevant in a globalized world while also providing the best treatment possible to its patients. Transportation, Logistics, and Supply Chain Management in Home Healthcare: Emerging Research and Opportunities is an essential reference source that provides theoretical and empirical research on logistics management and transportation and scheduling routing and their applications in home healthcare and logistics. While highlighting topics such as hybrid energy, scheduling optimization, and forecasting techniques, this book is ideally designed for outpatient doctors and nurses, transportation professionals, logisticians, home healthcare managers, computer scientists, logistic engineers, health practitioners, academicians, researchers, and students.

Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more. Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.

With the growth and advancement of business and industry, there is a growing need for the advancement of the strategies that manage these modernizations. Adaptation to advancement is essential for the success of these organizations and using the proper methods to accomplish this essential adaptation is paramount. Organizational Transformation and Managing Innovation in the Fourth Industrial Revolution provides innovative insights into the management of advancements and the implementation of strategies to accommodate these changes. The content within this publication examines social engagement, cyber-journalism, and educational innovation. It is designed for managers, consultants, academicians, researchers, and professionals, and covers topics centered on the growth of businesses and how they change alongside the economy and infrastructure.

Operations management is a tool by which companies can effectively meet customers' needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.

Customer satisfaction is a pivotal component to any business that provides goods or services to the public. By effectively managing the flow of products, business can adapt to the growing demands of consumers and deliver successful customer service. The Handbook of Research on Strategic Supply Chain Management in the Retail Industry is an authoritative reference source for the latest scholarly research on properly managing business processes in order to satisfy end-user requirements and increase competitive advantage in the retail marketplace. Highlighting concepts relating to field applications, customer relationships, and current trends in logistics management, this book is ideally designed for business professionals, managers, upper-level students, and researchers interested in innovative strategies and best practices in modern supply chains.

Stock management and control is a critical element to the success and overall financial well-being of an organization. Through the application of innovative practices and technology, businesses are now able to effectively monitor their operations and manage their inventory by evaluating sales patterns and customer preferences. Optimal Inventory Control and Management Techniques explores emergent research in stock management and product control within organizations. Featuring diverse perspectives on the implementation of various optimization techniques, genetic algorithms, and datamining concepts, as well as research on big data applications for inventory management, this publication is a comprehensive reference source for practitioners, educators, and researchers in the fields of logistics, operations management, and retail management.

The "family effect" remains a challenge for researchers interested in both the family firm's organizational form and in the effects of familial ownership on a firm's strategy, structure, and performance. Governance mechanisms, management quality, ownership concentration, and family involvement all have relevant effects in terms of influencing monitoring costs, investment decisions, the development of the portfolio of resources and capabilities, and family firm competitiveness. Nevertheless, few studies to date have opened the black box of the "family effect." Competitiveness, Organizational Management, and Governance in Family Firms is an essential reference source that makes a clear distinction between the separation of ownership and management, on the one hand, and the institutional development of family governance instruments, on the other, to help uncover the asymmetric effects of these two choices. It also allows the examination as to which of the two strategies employed in family firms reinforce managerial capital that has a greater positive impact on the "family effect," thus helping to achieve better managerial capabilities. Featuring research on topics such as corporate governance, private business, and successional leadership, this book is ideally designed for managers, executives, CEOs, company owners, consultants, business professionals, entrepreneurs, academicians, and researchers interested in an in-depth understanding of the keys to success and survival of family-operated organizations.

Globalization has made both operations and supply chains more complex than ever before. Inputs are sourced from many locations all over the world to serve different needs and market segments throughout the planet, making it a global challenge that necessitates a global strategic response. Managing Operations Throughout Global Supply Chains is a crucial academic resource that discusses concepts, methodologies, and applications of emerging techniques for operations and supply chain management processes that promote cost efficiency. While highlighting topics such as global operations, resource planning, and business forecasting, this publication explores how organizations manage the procurement of all necessary resources at every stage of the production cycle from the original source to the final consumers. This book is ideally designed for researchers, academicians, practitioners, professional organizations, policymakers, and government officials.

This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.

This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.

Positive psychology focuses on finding the best one has to offer and repairing the worst to such a degree that one becomes a more responsible, nurturing, and altruistic citizen. However, since businesses are composed of groups and networks, using positive psychology in the workplace requires applications at both the individual and the group levels. There is a need for current studies that examine the practices and efficacy of positive psychology in creating organizational harmony by increasing an individual's wellbeing. The Handbook of Research on Positive Organizational Behavior for Improved Workplace Performance is a collection of innovative research that combines the theory and practice of positive psychology as a means of ensuring happier employees and higher productivity within an organization. Featuring coverage on a broad range of topics such as team building, spirituality, and ethical leadership, this publication is ideally designed for human resources professionals, psychologists, entrepreneurs, executives, managers, organizational leaders, researchers, academicians, and students seeking current research on methods of nurturing talent and empowering individuals to lead more fulfilled, constructive lives within the workplace.