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Books in Management information systems

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    • Encyclopedia in Operations Management

      • 1st Edition
      • May 1, 2026
      • Tsan-Ming Jason Choi
      • English
      • Hardback
        9 7 8 0 4 4 3 2 8 9 9 3 4
      • eBook
        9 7 8 0 4 4 3 2 8 9 9 4 1
      Encyclopedia of Operations Management is an indispensable reference guide that offers a comprehensive and authoritative exploration of the field of operations management. Designed to cater to both students and professionals, this encyclopedia provides a wide range of knowledge, insights, and best practices for optimizing operations within diverse industries and organizations. The encyclopedia incorporates numerous case studies and examples drawn from a diverse range of industries, including manufacturing, services, healthcare, logistics, and e-commerce. These real-world illustrations enable readers to grasp the practical implications of various operations management concepts and techniques. Recognizing the evolving nature of operations management, this encyclopedia incorporates the latest trends, emerging technologies, and industry practices. It addresses topics such as Industry 4.0, digital transformation, sustainability, agile methodologies, and data analytics, ensuring that readers are equipped with up-to-date knowledge.

    • Fintech and the Remaking of Financial Institutions

      • 2nd Edition
      • March 1, 2026
      • John Hill
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 6 5 1 2
      • eBook
        9 7 8 0 4 4 3 3 6 6 5 2 9
      Fintech and the Remaking of Financial Institutions, Second Edition explores the transformativepotent... of new entrants and innovations on business models. In its survey and analysis of Fintech,this book addresses current and future states of money and banking. It provides broad contextsfor understanding financial services, products, technology, regulations, and social considerations.The second edition expands and updates topics covered in the first edition, with particularemphasis on current and expected impact of AI; maturation of crypto and consequent regulatoryissues; international developments; and the continued integration of technology advances in largefinancial institutions. This book shows how Fintech has evolved and will drive the future of financialservices. It sheds new light on disruption, innovation, and opportunity by placing the financialtechnology revolution in larger contexts.

    • Computational Intelligence Techniques for Sustainable Supply Chain Management

      • 1st Edition
      • May 23, 2024
      • Sanjoy Kumar Paul + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 8 4 6 4 2
      • eBook
        9 7 8 0 4 4 3 1 8 4 6 5 9
      Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence techniques. This book focuses on addressing problems in advanced topics in the sustainable supply chain and will appeal to practitioners, managers, researchers, students, and professionals interested in sustainable logistics, procurement, manufacturing, inventory and production management, scheduling, transportation, and supply chain network design.

    • Management and Engineering of Critical Infrastructures

      • 1st Edition
      • September 4, 2023
      • Bedir Tekinerdogan + 4 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 3 3 0 2
      • eBook
        9 7 8 0 3 2 3 9 9 3 3 1 9
      Management and Engineering of Critical Infrastructures focuses on two important aspects of CIS, management and engineering. The book provides an ontological foundation for the models and methods needed to design a set of systems, networks and assets that are essential for a society's functioning, and for ensuring the security, safety and economy of a nation. Various examples in agriculture, the water supply, public health, transportation, security services, electricity generation, telecommunication, and financial services can be used to substantiate dangers. Disruptions of CIS can have serious cascading consequences that would stop society from functioning properly and result in loss of life.Malicious software (a.k.a., malware), for example, can disrupt the distribution of electricity across a region, which in turn can lead to the forced shutdown of communication, health and financial sectors. Subsequently, proper engineering and management are important to anticipate possible risks and threats and provide resilient CIS. Although the problem of CIS has been broadly acknowledged and discussed, to date, no unifying theory nor systematic design methods, techniques and tools exist for such CIS.

    • Handbook of Metaheuristic Algorithms

      • 1st Edition
      • May 30, 2023
      • Chun-Wei Tsai + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 9 1 0 8 4
      • eBook
        9 7 8 0 4 4 3 1 9 1 0 9 1
      Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a brief introduction to metaheuristic algorithms from the ground up, including basic ideas and advanced solutions. Although readers may be able to find source code for some metaheuristic algorithms on the Internet, the coding styles and explanations are generally quite different, and thus requiring expanded knowledge between theory and implementation. This book can also help students and researchers construct an integrated perspective of metaheuristic and unsupervised algorithms for artificial intelligence research in computer science and applied engineering domains. Metaheuristic algorithms can be considered the epitome of unsupervised learning algorithms for the optimization of engineering and artificial intelligence problems, including simulated annealing (SA), tabu search (TS), genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), differential evolution (DE), and others. Distinct from most supervised learning algorithms that need labeled data to learn and construct determination models, metaheuristic algorithms inherit characteristics of unsupervised learning algorithms used for solving complex engineering optimization problems without labeled data, just like self-learning, to find solutions to complex problems.

    • Records Management at the Heart of Business Processes

      • 1st Edition
      • June 25, 2021
      • Florence Ott
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 0 4 3 0
      • eBook
        9 7 8 0 0 8 1 0 1 0 6 7 9
      In the current digital environment, records and information management allows to face outstanding volumes of information, widespread dematerialization of business processes and the proliferation of legal and regulatory obligations. This book offers principles, standards, procedures and best practices for the creation of authoritative records and for long-term conservation purposes.

    • Data Stewardship

      • 2nd Edition
      • October 31, 2020
      • David Plotkin
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 1 3 2 7
      • eBook
        9 7 8 0 1 2 8 2 2 1 6 7 9
      Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data—moving from business/organizatio... function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/compa... structure, business functions, and data ownership. The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort. It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards.

    • Data Science for Business and Decision Making

      • 1st Edition
      • April 11, 2019
      • Luiz Paulo Favero + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 1 2 1 6 8
      • eBook
        9 7 8 0 1 2 8 1 1 2 1 7 5
      Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®.

    • Fintech and the Remaking of Financial Institutions

      • 1st Edition
      • May 17, 2018
      • John Hill
      • English
      • Paperback
        9 7 8 0 1 2 8 1 3 4 9 7 9
      • eBook
        9 7 8 0 1 2 8 1 3 4 9 8 6
      FinTech and the Remaking of Financial Institutions explores the transformative potential of new entrants and innovations on business models. In its survey and analysis of FinTech, the book addresses current and future states of money and banking. It provides broad contexts for understanding financial services, products, technology, regulations and social considerations. The book shows how FinTech has evolved and will drive the future of financial services, while other FinTech books concentrate on particular solutions and adopt perspectives of individual users, companies and investors. It sheds new light on disruption, innovation and opportunity by placing the financial technology revolution in larger contexts.

    • Cognitive Information Systems in Management Sciences

      • 1st Edition
      • February 28, 2017
      • Lidia Dominika Ogiela
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 8 0 3 1
      • eBook
        9 7 8 0 1 2 8 0 3 8 7 5 8
      Cognitive Information Systems in Management Sciences summarizes the body of work in this area, taking an analytical approach to interpreting the data, while also providing an approach that can be used for practical implementation in the fields of computing, economics, and engineering. Using numerous illustrative examples, and following both theoretical and practical results, Dr. Lidia Ogiela discusses the concepts and principles of cognitive information systems, the relationship between intelligent computer data analysis, and how to utilize computational intelligent approaches to enhance information retrieval. Real world implantation use cases round out the book, with valuable scenarios covering management science, computer science, and engineering. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

Related subjects

Computers in business