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Managing the Unknown
Managing the Unknown offers a new way of looking at the problem of managing projects in novel and unknown environments. From Europe's leading business school, this book shows how to manage two fundamental approaches that, in combination, offer the possibility of coping with unforeseen influences that inevitably arise in novel projects: * Trial-and-Error Learning allows for redefining the plan and the project as the project unfolds * Selectionism pursues multiple, independent trials in order to pick the best one at the end Managing the Unknown offers expert guidelines to the specific project mindsets, infrastructures, and management methods required to use these project management approaches and achieve success in spite of unforeseen obstacles. This book equips readers with: * Causal explanations of why unforeseeable factors in novel projects make traditional project planning and project risk management insufficient * Directly applicable management tools that help managers to guide novel and high-uncertainty projects * Real-world case studies of both successful and unsuccessful approaches to managing high uncertainty in novel projects
Industrial Excellence
What does "excellent manufacturing management" mean? Management texts to date have emphasized that it is, above methods such as SPC or TQM, a matter of "intangibles" and "culture". This book takes the myth out of management excellence; it can be learned and practiced. First, manage the three core processes, strategy deployment, product and process development, and the supply chain. And secondly, pay attention to the dimension of management quality, direction setting, integration and delegation, communication, participation, measurement, and employee development. This book explains management quality and demonstrates how it is implemented, with ten plant tours through world-class factories from different industries.
Handbook of New Product Development Management
This text provides a comprehensive view of the challenges in managing the development of new products from well-known and leading contributors in the field.
Cognitive Operations
This book examines how people make decisions under risk and uncertainty in operational settings and opens the black box by specifying the cognitive processes that lead to human behavior. Drawing on economics, psychology and artificial intelligence, the book provides an innovative perspective on behavioral operations. It shows how to build optimization as well as heuristic models for describing human behavior and how to compare such models on various dimensions such as predictive power and transparency, as well as discussing interventions for improving human behavior. This book will be particularly valuable to academics and practitioners who seek to select a modeling approach that suits the operational decision at hand.
Advanced Topics in Applied Operations Management
The chapters in Advanced Topics in Applied Operations Management creatively demonstrate a valuable connection among operations strategy, operations management, operations research, and various departments, systems, and practices throughout an organization. The authors show how mathematical tools and process improvements can be applied effectively in unique measures to other functions. The book provides examples that illustrate the challenges confronting firms competing in today's demanding environment bridging the gap between theory and practice by analyzing real situations.
Non-Profit-Maximizing Behavior in Supply Chain Management
Non-profit-maximizing behavior in supply chain management focuses on the human component in supply chain management. It develops behavioral models that consider individual and social preferences of supply chain members in order to improve our understanding of actual decision-making in supply chain management. The author challenges the common assumption of a selfish homo economicus and introduces the human component in three experimental studies: In the first study, he examines the effect of individual risk preferences in the Newsvendor context. In the second study, a common group identity to overcome incentive conflicts in forecast sharing is studied. The third study explores underlying cognitive processes in contractual decision-making. Potential readership includes scholars and graduate students who are interested in the field of behavioral operations management and practitioners looking for behavioral aspects of decision making in supply chain management.
Applied Software Risk Management
Few software projects are completed on time, on budget, and to their original specifications. Focusing on what practitioners need to know about risk in the pursuit of delivering software projects, Applied Software Risk Management: A Guide for Software Project Managers covers key components of the risk management process and the software development process, as well as best practices for software risk identification, risk planning, and risk analysis. Written in a clear and concise manner, this resource presents concepts and practical insight into managing risk. It first covers risk-driven project management, risk management processes, risk attributes, risk identification, and risk analysis. T...
Social Psychology Quarterly
Includes theoretical and empirical papers on topics in social psychology including sociometry. Publishes works by both sociologists and psychologists.
Principles of Operations Management
In this textbook, Heizer (business administration, Texas Lutheran U.) and Render (operations management, Rollins College) provide a broad introduction to the field of operations management. A sampling of topics includes operations strategy for competitive advantage, forecasting, design of goods and services, human resources, e- commerce, project management, inventory management, and maintenance. The CD-ROM contains video case studies, lecture notes, Excel OM and Extend software, and additional practice problems. Annotation copyrighted by Book News Inc., Portland, OR
Mastering Risk
A major challenge for today's financial industry is the development of fully integrated risk systems. This volume looks at the actual application of various models to predict levels of risk.
