The author thoroughly describes and analyzes the most significant systems methodologies-`organizations as systems,' hard, soft, cybernetic, and critical-and demonstrates the complementary strengths of different systems approaches.

The book introduces concepts, principles, methods and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems and working with management professionals in implementing new information systems. This book of Information Systems and Management Science (proceedings of ISMS 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field.

Systems and Decision Making A Management Science Approach Hans G Daellenbach University of Canterbury, Christchurch, New Zealand Traditional methods of problem solving, based on the cause-and-effect model, can no longer cope with the complex situations in which decisions have to be made today. These problem situations occur within a systems context. Most of these systems are created and controlled by humans and it is, therefore, important that decision making is guided by a systematic and comprehensive methodology that helps the decision maker to make effective use of his/her extensive but limited powers of reasoning. Systems and Decision Making combines contemporary systems work with Operations Research (OR). Daellenbach places an emphasis on developing a methodology for decision situations that lend themselves to quantitative approaches rather than give an elementary survey of many OR/MS techniques. It incorporates some of the learnings of soft systems methodology for more practical problem solving, particularly at the problem identification and formulation stages. The text also shows that the scientific component of modelling can be considerably enhanced by the use of various diagrammatic devices. The second part of the book studies a number of topics important for the analyst, such as how to deal with the time element, with constraints, with uncertainty, and with multiple goals. These are demonstrated by various OR/MS techniques. Systems and Decision Making is an excellent core text for undergraduate and graduate students of systems, management science and MBA courses.

This book deals with the contribution of a systems approach to a range of disciplines from philosophy and biology to social theory and management. It weaves together material from some of the pre-eminent thinkers of the day. In doing so it creates a coherent path from fundamental work on philosophical issues of ontology and epistemology through specific domains of knowledge about the nature of information and meaning, human communication, and social intervention.

This book is about prescriptive analytics. It provides business practitioners and students with a selected set of management science and optimization techniques and discusses the fundamental concepts, methods, and models needed to understand and implement these techniques in the era of Big Data. A large number of management science models exist in the body of literature today. These models include optimization techniques or heuristics, static or dynamic programming, and deterministic or stochastic modeling. The topics selected in this book, mathematical programming and simulation modeling, are believed to be among the most popular management science tools, as they can be used to solve a majority of business optimization problems. Over the years, these techniques have become the weapon of choice for decision makers and practitioners when dealing with complex business systems.

Dynamic Systems in Management Science explores the important gaps in the existing literature on operations research and management science by providing new and operational methods which are tested in practical environment and a variety of new applications.

Written for a wide-range of mathematical abilities, this comprehensive, accessible overview emphasizes the conceptual aspects of decision-making rather than mathematical techniques or computer methods. Structured around a clear framework, the text first builds up the basic ideas of systems and shows how hard "OR" incorporates these concepts into its modeling process. It also incorporates important real-world aspects such as time, decision-making over time, constraints, uncertainty and multiple objectives into this framework, and shows how conflicts and ambiguities of world views lead to fundamental changes in the aims and models of decision-making approaches. A companion website is located at: http://www.palgrave.com/business/daellenbach/index.asp

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 - Discusses the basic concepts and principles in cognitive information systems, providing 'real-world' implementation examples - Explains the relationship between intelligent computer data analysis and how to utilize computational intelligent approaches to enhance information retrieval - Provides a unified structured approach that can be used to develop information flow in cognitive management systems

"This book examines related research in decision, management, and other behavioral sciences in order to exchange and collaborate on information among business, industry, and government, providing innovative theories and practices in operations research"--Provided by publisher.