The objective of this book, the second volume of this monograph series, is to respond to the calls from front-line managers, entrepreneurs, and scholarly researchers to reconstruct the theories of economics and business so that the new theories will be more relevant to real life than the prevalent ones.
This book suggests that business research, in the collection, analysis, and communication of evidence, will benefit from explicit acceptance of research as argumentation.
The definitive, fully up-to-date guide to continuous improvement in the workplace"e;An updated version of a classic book that shares a wealth of new healthcare examples and case studies from around the world.
This book provides an introduction to incorporating preference information in Data Envelopment Analysis (DEA) with a special emphasis in Value Efficiency Analysis.
Now in its fifth edition, this bestselling text brings a fresh and unique approach to managing organizational change, taking the view that change, creativity and innovation are interconnected.
This fourth edition of the book provides readers with a detailed explanation of PLM, enabling them to gain a full understanding and the know-how to implement PLM within their own business environment.
This book presents the methodology and applications of Data Envelopment Analysis (DEA) in measuring productivity, efficiency and effectiveness in Financial Services firms such as banks, bank branches, stock markets, pension funds, mutual funds, insurance firms, credit unions, risk tolerance, and corporate failure prediction.
With businesses facing rapid change in technologies and digital business models, decision makers need to keep apace with the latest thought leadership in order to deliver value to stakeholders.
This book systematically studies how game theory can be used to improve security in chemical industrial areas, capturing the intelligent interactions between security managers and potential adversaries.
This volume contains the proceedings of the summer school "e;Modern Methods of Optimization"e;, held at the Schlof3 Thurnau of the University of Bayreuth, October 1-6, 1990.
Applying practical tools to the volatile process of negotiating Prognosticators apply Monte Carlo Analysis (MCA) to determine the likelihood and significance of a complete range of future outcomes; Real Options Analysis (ROA) can then be employed to develop pricing structures, or options, for such outcomes.
The book covers the domain of multi-criteria decision making, a topic which has gained significant attention of researchers and practitioners spanning a variety of disciplines for enhancing their decision making in real life situation.
This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process.
This book constructs a model of the knowledge value chain in the university and analyzes the university knowledge value-added mechanism in the process of Industry-University Collaborative Innovation.
Este libro es una lectura obligada para los que quieran conocer los secretos de aquellas compañías que logran crecer siempre, incluso en entornos turbulentos.
ICT-Driven Economic and Financial Development: Analyses of European Countries demonstrates the effects of ICT diffusion on economic, social and financial development by examining their impact on the structure and dynamics of national economies.
Applying Occupational Psychology in the Fire Service: Emotion, Risk and Decision-Making provides readers with an overview of the latest research informing the policies, procedures and practices of those working on the ground in the UK Fire Service.
This book addresses the challenges companies face when different customer value propositions require them to pursue a differentiated supply chain strategy.
SUPPLY CHAIN MANAGEMENT BEST PRACTICES Although the fundamentals of the supply chain industry remain constant, massive shifts in the demands of the marketplace and powerful new technologies have changed the way supply chain and transportation companies must engage with and deliver solutions to their clients.
Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc.
