"Dynamics of Information Systems" presents state-of-the-art research explaining the importance of information in the evolution of a distributed or networked system. This book presents techniques for measuring the value or significance of information within the context of a system. Each chapter reveals a unique topic or perspective from experts in this exciting area of research. This volume is intended for graduate students and researchers interested in the most recent developments in information theory and dynamical systems, as well as scientists in other fields interested in the application of these principles to their own area of study.
Emerging business models, value configurations, and information technologies interact over time to create competitive advantage. Modern information technology has to be studied, understood, and applied along the time dimension of months and years, where changes are the rule. Such changes created by interactions between business elements and resources are very well suited for system dynamics modeling. Business Dynamics in Information Technology presents business-technology alignment processes, business-technology interaction processes, and business-technology decision processes, serving the purpose of helping the reader study information technology from a dynamic, rather than a static, perspective. By introducing two simple tools from system dynamic modeling - causal loops and reference modes - the dynamic perspective will become important to both students and practitioners in the future.
The editors include a wide range of contemporary and classic articles from North America and the UK on key information systems management themes, including IT developments in business and outsourcing information systems services.
Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20-22, 2012. The purpose of this conference was to bring together scientists and engineers from industry, government, and universities to exchange knowledge and results in a broad range of topics relevant to the theory and practice of the dynamics of information systems.Dynamics of Information plays an increasingly critical role in our society. The influence of information on social, biological, genetic, and military systems must be better understood to achieve large advances in the capability and understanding of these systems. Applications are widespread and include: detection of terrorist networks, design of highly efficient businesses, computer networks, quantum entanglement, genome modeling, multi-robotic systems, and industrial and manufacturing safety. The book contains state-of-the-art work on theory and practice relevant to the dynamics of information systems. It covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers; presents important problems arising in service-oriented systems, such as dynamic composition and analysis of modern service-oriented information systems and estimation of customer service times on a rail network from GPS data; addresses the complexity of the problems arising in stochastic and distributed systems; and discusses modulating communication for improving multi-agent learning convergence. Network issues—in particular minimum-risk maximum-clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning—are described in later chapters.
Kim Warren presents a complete framework in the field of Strategic Management. The book combines theory with clearly illustrated examples to examine the concept of financial performance and the tools that can be used to improve it.
The management of the information society demands a global as well as interdisciplinary perspective. This book is designed with such contributions in mind. The first section examines the need for reassessing how technology interfaces with humans in the workplace. The authors advocate that the planners and managers in any organizational environment must take into account the dynamic forces that guide the interaction between the information technology and workers. In the second section the authors examine the political, economic and productivity issues involved in managing information. They suggest a myriad of approaches, all leading to the effective use of communication and information systems in health care, manufacturing, banking, mass politics, general economic development and worker productivity. The final section deals in depth with recent issues involving international trade and information policy. The authors shed national communication policy, telematic reindustrialization, transborder data flows and the strategy for developing telecommunications sectors in the third world.
Here's an in-depth, step-by-step analysis defining the critical ingredients essential to achieving ongoing improvement and a robust bottom line! Focusing on practical, dynamic solutions for weaknesses in the interdependent parts of an organization, Management Dynamics provides a comprehensive introduction to the Theory of Constraints (TOC) in profit-oriented organizations, complete with the crucial but oft-missing pieces of the constraint theory–a fully integrated and supporting accounting system and the dynamic motivator to drive ongoing improvement in the bottom line. Order your copy today!
Promoting organizational knowledge is an important consideration for any business looking toward the future. Understanding the dynamics of knowledge-intensive organizations is a crucial first step in establishing a strong knowledge base for any organization. Organizational Knowledge Dynamics: Managing Knowledge Creation, Acquisition, Sharing, and Transformation introduces the idea that organizational knowledge is composed of three knowledge fields: cognitive knowledge, emotional knowledge, and spiritual knowledge. This book is useful for graduate students, researchers, and practitioners in knowledge management, intellectual capital, human resources management, change management, and strategic management.
Managing the Dynamics of New-Product Development Processes merges product-based planning, process modelling, process execution, probabilistic simulations, and simulation based decision-making into one framework called the Dynamic new-Product Development Process. It provides readers with a means of improving the management of product development through enhanced methods and tools that are specifically tailored to the characteristics and challenges of such processes. It calls for a new Product Lifecycle Management paradigm of utilizing the managed product data for management of the product's development process. Within the framework, the methods used are enhanced or modified to fit the new-product development process requirements. Each specific method is exhaustively analyzed, from the basic definition of terms through a description of the state of the art of that topic and its limitations. Then, the method enhancements are illustrated by many examples, and discussed while suggesting further research directions. Finally, the enhanced methods are integrated and demonstrated by a test case. The main two methods described are the design structure matrix (DSM) and Petri nets, which are merged into a novel concept entitled DSM nets. Managing the Dynamics of New Product Development Processes provides algorithms, proofs, and practical examples that can be used for general study of the issues concerned. The main concepts presented are applicable to systems engineering and can be used by practitioners of product development processes, such as designers, product managers, and process managers, as well as developers of process management tools for systems with dynamically changing process structures.
This book develops a view of logic as a theory of information-driven agency and intelligent interaction between many agents - with conversation, argumentation and games as guiding examples. It provides one uniform account of dynamic logics for acts of inference, observation, questions and communication, that can handle both update of knowledge and revision of beliefs. It then extends the dynamic style of analysis to include changing preferences and goals, temporal processes, group action and strategic interaction in games. Throughout, the book develops a mathematical theory unifying all these systems, and positioning them at the interface of logic, philosophy, computer science and game theory. A series of further chapters explores repercussions of the 'dynamic stance' for these areas, as well as cognitive science.
