Download Free Productivity Measurement Book in PDF and EPUB Free Download. You can read online Productivity Measurement and write the review.

Provides a comprehensive approach to productivity and efficiency analysis using economic and econometric theory.
This book develops the theory of productivity measurement using the empirical index number approach. The theory uses multiplicative indices and additive indicators as measurement tools, instead of relying on the usual neo-classical assumptions, such as the existence of a production function characterized by constant returns to scale, optimizing behavior of the economic agents, and perfect foresight. The theory can be applied to all the common levels of aggregation (micro, meso, and macro), and half of the book is devoted to accounting for the links existing between the various levels. Basic insights from National Accounts are thereby used. The final chapter is devoted to the decomposition of productivity change into the contributions of efficiency change, technological change, scale effects, and input or output mix effects. Applications on real-life data demonstrate the empirical feasibility of the theory. The book is directed to a variety of overlapping audiences: statisticians involved in measuring productivity change; economists interested in growth accounting; researchers relating macro-economic productivity change to its industrial sources; enterprise micro-data researchers; and business analysts interested in performance measurement.
Measuring Economic Growth and Productivity: Foundations, KLEMS Production Models, and Extensions presents new insights into the causes, mechanisms and results of growth in national and regional accounts. It demonstrates the versatility and usefulness of the KLEMS databases, which generate internationally comparable industry-level data on outputs, inputs and productivity. By rethinking economic development beyond existing measurements, the book's contributors align the measurement of growth and productivity to contemporary global challenges, addressing the need for measurements as well as the Gross Domestic Product. All contributors in this foundational volume are recognized experts in their fields, all inspired by the path-breaking research of Dale W. Jorgenson. - Demonstrates how an approach based on sources of economic growth (KLEMS – capital, labor, energy, materials and services) can be used to analyze economic growth and productivity - Includes examples covering the G7, E7, EU, Latin America, Norway, China, Taiwan, Japan, Korea, India and other South Asian countries - Examines the effects of digital, information, communication and integrated technologies on national and regional economies
Presents the proceedings of two workshops on productivity measurement and analysis, which brought together representatives of statistical offices, central banks and other officials involved with the analysis and measurement of productivity at aggregate and industry levels.
The question of how to measure and improve productivity in services has been a recurrent topic in political debates and in academic studies for several decades. The concept of productivity, which was developed initially for industrial and agricultural economies poses few difficulties when applied to standardized products. The advent of the service economy contributed to call into question, if not the relevance of this concept, at least its definition and measurement methods. This book takes stock of the issues met by productivity in services on theoretical, methodological and operational levels. The authors examine various definitions of productivity and the main methods of its measurement. A survey of recent conceptual and methodological debates on the notion of productivity is also presented. A more operational and strategic perspective is then adopted in order to identify and analyze the main levers, factors and determinants for improving productivity and, more generally, the actual strategies adopted for this purpose in firms and organisations. Providing a deep understanding of the specific and underestimated performance processes within service industries, this book will be of great interest to those involved in industrial economics, management science and public administration.
A systematic treatment of dynamic decision making and performance measurement Modern business environments are dynamic. Yet, the models used to make decisions and quantify success within them are stuck in the past. In a world where demands, resources, and technology are interconnected and evolving, measures of efficiency need to reflect that environment. In Dynamic Efficiency and Productivity Measurement, Elvira Silva, Spiro E. Stefanou, and Alfons Oude Lansink look at the business process from a dynamic perspective. Their systematic study covers dynamic production environments where current production decisions impact future production possibilities. By considering practical factors like adjustments over time, this book offers an important lens for contemporary microeconomic analysis. Silva, Stefanou, and Lansink develop the analytical foundations of dynamic production technology in both primal and dual representations, with an emphasis on directional distance functions. They cover concepts measuring the production structure (economies of scale, economies of scope, capacity utilization) and performance (allocative, scale and technical inefficiency, productivity) in a methodological and comprehensive way. Through a unified approach, Dynamic Efficiency and Productivity Measurement offers a guide to how firms maximize potential in changing environments and an invaluable contribution to applied microeconomics.
This new book explains the Productivity Measurement and Enhancement system (ProMES) and how it meets the criteria for an optimal measurement and feedback system. It summarizes all the research that has been done on productivity, mentioning other measurement systems, and gives detailed information on how to implement this one in organizations. This book will be of interest to behavioral science researchers and professionals who wish to learn more about the practical methods of measuring and improving organizational productivity.
With its comprehensive scope and easy-to-read format, this compendium belongs in every company and academic institution concerned with business and industrial viability. Featuring scores of contributions covering the most advanced methods for the measurement and improvement of quality and productivity, no other reference can compete. Throughout 100 chapters, front-runners in the quality movement reveal the evolving theory and specific practices of world-class organizations. Spanning a wide variety of industries and business sectors, this handbook includes insightful discussions on quality and productivity in manufacturing, service industries, profit centers, administration, nonprofit and government institutions, health care and education. Topics include— Benchmarking The best way to implement an activity-based cost-management system Ten rules for building a measurement system Process simplification through cycle-time reduction Strategies for measuring and improving white-collar productivity Sharing the productivity payoff—gain sharing primer
Mention the phrase "bottom line," and the immediate thought tends to focus on a company's financial performance. Think again! There's an equally important factor that carries tremendous impact on that final total: operational performance measures. Implementation of a performance improvement program can significantly improve a company's bottom line. Operational Performance Measurement: Increasing Total Productivity shows the way-featuring a new integrated theory of performance measurement, with a never-before-published measurement model that's applicable to any business activity. Practical procedures and guidelines directly identify the variables that should be measured; guidelines to develop measurement systems; and how to analyze, interpret, and use performance methods effectively. Numerous diagrams, tables and examples make the principles and procedures easy to understand and implement. While this performance measurement approach is simplicity itself, be prepared for powerful results! Managers can put the theory into action right away- giving them better control, improved performance, increased personal productivity-and an easier day at work! Operations, finance, administration and quality managers alike will find there's so much to gain when they're Operational Performance Measurement: Increasing Total Productivity ... and a better bottom line is just the beginning!
Key Points, Systematic treatment of dynamic decision making and performance measurement, Develops analytical foundations for dynamic production technology with emphasis on dynamic directional distance functions, Explains empirical implementation of production and performance measures at length for both nonparametric and econometric approaches Book jacket.