Decision Control In Management Science
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Management Control Systems, Decision-Making, and Innovation Development
The systematic approach to innovation development today is one of the world’s most prominent scientific fields, and with good reason. When applied correctly, such system produces regular outcomes, which consistently drive lasting competitive advantage. Unfortunately, as much as it is beneficial, the orchestration of an undisturbed flow of multiple complex, dynamic, and flexible innovation development processes is structurally demanding. In this book, a recognised innovation management specialist sets the record straight, offering a comprehensive approach to the improvement of innovation efficiency with the use of management control system. Unlike other books on the subject, it proposes original representation – the CDI model – of the relationships between management control system, decision-making quality, and innovation system efficiency and explains why management control is fundamental to innovation management. In addition to that, inside the reader will find several original developments. These include: the info-deficiency (I-D) model, depicting the various parameters hindering decision-making in innovation development; the product innovation development (PID) system, offering the original function-based approach to innovation management; and the composite innovation index – specially designed tool intended to evaluate the efficiency of an innovation development system. It will be of interest to researchers, academics, practitioners, and advanced students in the fields of management, strategy, and innovation. Chapter 4 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com
Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models
In order to ensure the criteria for monitoring and managing the various problems and design for decision control, a mathematical description of exact human knowledge is required for the management of adaptive and complex systems. Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models presents an application and demonstration of a new mathematical technique for descriptions of complex systems. This comprehensive collection contains scientific results in the field of contemporary approaches to adaptive decision making that is essential for researchers, scholars, and students alike.
Topics in Management Science
Author: Robert E. Markland
language: en
Publisher: John Wiley & Sons
Release Date: 1991-01-16
This Third Edition of the popular management science text, featuring more concise coverage of topics, new case studies for all eighteen chapters, and more illustrations, tables, and diagrams. Practical approach teaches students how to use management science techniques in real-world situations. Contains over 500 problems and 200 discussion questions.