The first book to discuss efficient ways to implement the systems currently being developed--written by the co-author of Expert Systems: Artificial Intelligence in Business, generally regarded as the best non-technical guide to expert systems for business people. Gives innovative ideas for using expert systems to facilitate business operations. Appropriate as a text or supplement for data base, decision support, or special-topic courses that cover expert systems. Clearly explains new applications of automatic decision-making in management, sales, operations, programming, research, and service industries. Text supported by extensive examples and graphs.

This volume represents an advance in our understanding of how to represent and reason about organizational phenomena. Although organizational theorists have long grappled with the complexities of adaptive agents, ecological systems, and non-linear relations among the basic elements of organizational design, they have not, until recently, had the tools to grapple with these complex relationships. Recent advances in logic, symbolic programming, network analysis, and computer technology have made possible a series of tools that can be used to understand the complexities of organizational behavior. New computational techniques make it possible to develop and test more realistic models of organizational behavior. This volume offers examples of this new breed of models, and provides insight into how these advances and techniques can be used to extend our theoretical understanding of organizations. Authored by leading researchers in the area of computational organization theory, the various chapters demonstrate the value of computational analysis for organizational theory and advance our understanding of the relationship between organizational design and performance. This book contains both theoretical and methodological contributions that enable organizational theorists to use computational and mathematical techniques to systematically address the complex relationships that underlie organizational life. It also presents new -- or sometimes, renewed -- approaches on how to conduct organizational research from multiple formal perspectives including: simulation, numerical analysis, symbolic logic, mathematical modeling, and graph theory.

"Organizational learning" is currently a subject of intense debate in the study of corporate dynamics. But how can such a concept be used effectively without a thorough understanding of the way in which organizations produce and distribute knowledge? An in-depth analysis of expert system projects afforded a choice opportunity for studying such questions. Drawing on four case studies, the authors identify and explore the dynamics of three basic types of expertise. They simultaneously reveal the crisis in expertise experienced by firms facing the demands of product variety and innovation. In such industrial contexts, organizational and managerial theories clearly have to include new approaches, presented here, which focus on the dynamics of expertise.

Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.

To remain viable, let alone competitive, organizations must manage risks. In this book, we explore the concept of operational risk as well as the mechanisms used to diminish the impact and occurrence of risks: the organizational control system. Since the scope and scale of operational risks are unique to each organization, our objective is to explain the theory behind why and how managers respond to the unique combination of threats that challenge their organization. We emphasize employee management and the complexities surrounding the design of management controls, incentive systems in particular, because risks related to employee actions are faced by virtually every organization. Overall, we provide empirically grounded insights into the process of diagnosing operational risks as well as designing, implementing and maintaining a control system that properly manages those risks.