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Books in Management information systems

Discover the latest research and practical applications in MIS, covering data analytics, cybersecurity, enterprise systems, and digital transformation. This collection supports IT professionals, managers, and researchers in leveraging technology to enhance organizational effectiveness. Emphasizing emerging trends like AI, cloud computing, and big data, these titles provide actionable insights into designing, implementing, and managing information systems that drive business innovation and resilience.

BooksJournals

    • 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 transformative potential 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 contexts for understanding financial services, products, technology, regulations, and social considerations. The second edition expands and updates topics covered in the first edition, with particular emphasis on current and expected impact of AI; maturation of crypto and consequent regulatory issues; international developments; and the continued integration of technology advances in large financial institutions. This book shows how Fintech has evolved and will drive the future of financial services. It sheds new light on disruption, innovation, and opportunity by placing the financial technology 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.

    • Ethics in Online AI-Based Systems

      • 1st Edition
      • April 10, 2024
      • Santi Caballé + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 8 8 5 1 0
      • eBook
        9 7 8 0 4 4 3 1 8 8 5 0 3
      Ethics in Online AI-Based Systems: Risks and Opportunities in Current Technological Trends creates a space to explore the ethical relevance that new technologies under development may have. Stimulating reflection and considerations with respect to the design, deployment, and use of technology helps readers guide current and future technological advancements from an ethically informed position to ensure that such advancements contribute towards solving current global and social challenges that we, as a society, have today. This will not only be useful for researchers and professional engineers, but also for educators, policy makers, and ethicists.Recent technological advancements have deeply transformed society and the way people interact with each other. Instantaneous communication platforms have allowed connections with other people, forming global communities and creating unprecedented opportunities in many sectors, making access to online resources more ubiquitous by reducing limitations imposed by geographical distance and temporal constrains. These technological developments bear ethically relevant consequences with their deployment, and legislations often lag behind such advancements. Because the appearance and deployment of these technologies happen much faster than legislative procedures, the way these technologies affect social interactions have profound ethical effects before any legislative regulation can be built in order to prevent and mitigate those effects.

    • 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.

    • Digital Asset Valuation and Cyber Risk Measurement

      • 1st Edition
      • May 29, 2019
      • Keyun Ruan
      • English
      • Paperback
        9 7 8 0 1 2 8 1 2 1 5 8 0
      • eBook
        9 7 8 0 1 2 8 1 2 3 2 8 7
      Digital Asset Valuation and Cyber Risk Measurement: Principles of Cybernomics is a book about the future of risk and the future of value. It examines the indispensable role of economic modeling in the future of digitization, thus providing industry professionals with the tools they need to optimize the management of financial risks associated with this megatrend. The book addresses three problem areas: the valuation of digital assets, measurement of risk exposures of digital valuables, and economic modeling for the management of such risks. Employing a pair of novel cyber risk measurement units, bitmort and hekla, the book covers areas of value, risk, control, and return, each of which are viewed from the perspective of entity (e.g., individual, organization, business), portfolio (e.g., industry sector, nation-state), and global ramifications. Establishing adequate, holistic, and statistically robust data points on the entity, portfolio, and global levels for the development of a cybernomics databank is essential for the resilience of our shared digital future. This book also argues existing economic value theories no longer apply to the digital era due to the unique characteristics of digital assets. It introduces six laws of digital theory of value, with the aim to adapt economic value theories to the digital and machine era.

    • 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®.

Related subjects

Computers in business