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Performance Evaluation is a hands-on text for practitioners, researchers, educators, and students in how to use scientifically-based evaluations that are both rigorous and flexible. Author Ingrid Guerra-López, an internationally-known evaluation expert, introduces the foundations of evaluation and presents the most applicable models for the performance improvement field. Her book offers a wide variety of tools and techniques that have proven successful and is organized to illustrate evaluation in the context of continual performance improvement.
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.
Program Evaluation and Performance Measurement: An Introduction to Practice, Second Edition offers an accessible, practical introduction to program evaluation and performance measurement for public and non-profit organizations, and has been extensively updated since the first edition. Using examples, it covers topics in a detailed fashion, making it a useful guide for students as well as practitioners who are participating in program evaluations or constructing and implementing performance measurement systems. Authors James C. McDavid, Irene Huse, and Laura R. L. Hawthorn guide readers through conducting quantitative and qualitative program evaluations, needs assessments, cost-benefit and cost-effectiveness analyses, as well as constructing, implementing and using performance measurement systems. The importance of professional judgment is highlighted throughout the book as an intrinsic feature of evaluation practice.
The author is one of the prominent researchers in the field of Data Envelopment Analysis (DEA), a powerful data analysis tool that can be used in performance evaluation and benchmarking. This book is based upon the author’s years of research and teaching experiences. It is difficult to evaluate an organization’s performance when multiple performance metrics are present. The difficulties are further enhanced when the relationships among the performance metrics are complex and involve unknown tradeoffs. This book introduces Data Envelopment Analysis (DEA) as a multiple-measure performance evaluation and benchmarking tool. The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective. Conventional and new DEA approaches are presented and discussed using Excel spreadsheets — one of the most effective ways to analyze and evaluate decision alternatives. The user can easily develop and customize new DEA models based upon these spreadsheets. DEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. For example, a context-dependent DEA measures the relative attractiveness of similar operations/processes/products. Sensitivity analysis techniques can be easily applied, and used to identify critical performance measures. Two-stage network efficiency models can be utilized to study performance of supply chain. DEA benchmarking models extend DEA’s ability in performance evaluation. Various cross efficiency approaches are presented to provide peer evaluation scores. This book also provides an easy-to-use DEA software — DEAFrontier. This DEAFrontier is an Add-In for Microsoft® Excel and provides a custom menu of DEA approaches. This version of DEAFrontier is for use with Excel 97-2013 under Windows and can solve up to 50 DMUs, subject to the capacity of Excel Solver. It is an extremely powerful tool that can assist decision-makers in benchmarking and analyzing complex operational performance issues in manufacturing organizations as well as evaluating processes in banking, retail, franchising, health care, public services and many other industries.
There is no HR-related topic more popular in the business press than performance management (PM). There has been an explosion in writing on this topic in the past 5 years, condemning it as a failure and calling for fundamental change. The vast majority of organizations use the same basic process which I call “Last Generation Performance Management” or PM 1.0 for short. Despite widespread agreement that PM 1.0 is failing, few companies have abandoned it or made fundamental changes to it. While everyone agrees it is broken, few agree on how to fix it. Companies continue to tinker with their systems, making incremental changes every few years with no lasting improvement in effectiveness. Employees continue to achieve amazing things in organizations every day, despite this process not because of it. Nothing has worked because organizations, business leaders and HR professionals focus on PM practices instead of the fundamental purpose of PM and the paradigms, assumptions, and beliefs that underlie the practices. Companies ask their performance management process to do too many things and it fails at all of them as a result. At the foundation of PM 1.0 practices is the ideology of a meritocracy and paradigms rooted in standard economic and psychological theories. While these theories were adequate explanations for motivation and behavior in the 19th and 20th centuries, they fail to account for the increasingly complex nature of organizations and their environments today. Despite the ineffectiveness of PM 1.0, there are powerful forces holding it in place. Information on rigorous, evidence-based recommendations is crowded out by benchmarking information, case studies of high-profile companies, and other propaganda coming from HR think tanks and consultants. Business leaders and HR professionals learn about common practices not effective practices. This book confronts the traditional dogma, paradigms, and practices of PM 1.0 and holds them up to the bright light of scientific scrutiny. It encourages HR professionals and business leaders to abandon PM 1.0 and it offers up a more appropriate purpose for PM, alternative paradigms to guide them and practical solutions that are better supported by scientific research, referred to as “Next Generation Performance Management” or PM 2.0 for short.
This book is devoted to the most used methodologies for performance evaluation: simulation using specialized software and mathematical modeling. An important part is dedicated to the simulation, particularly in its theoretical framework and the precautions to be taken in the implementation of the experimental procedure. These principles are illustrated by concrete examples achieved through operational simulation languages ​​(OMNeT ++, OPNET). Presented under the complementary approach, the mathematical method is essential for the simulation. Both methodologies based largely on the theory of probability and statistics in general and particularly Markov processes, a reminder of the basic results is also available.
If you are an experienced trainer, an instructional designer, a specialist in performance improvement, or a manager responsible for learning and performance, Performance-Based Evaluation . . . offers you the proven tools and information to evaluate programs and people performance. Filled with real-world examples, this practical resource will help you to determine what to do and (just as important) what not to do. Performance-Based Evaluation contains a wealth of information including: Suggestions on how to measure both hard and soft skills Guidance on measuring required and mandated programs Ideas for measuring elective training and employee relations programs Procedures for comparing different delivery systems Information on how to sample people and documents Tips for both collecting data and information on analyzing data using descriptive and inferential statistics In addition, the book includes a CD-ROM with customizable and reproducible job aids, charts, and exercises.
This book is written for computer engineers and scientists active in the development of software and hardware systems. It supplies the understanding and tools needed to effectively evaluate the performance of individual computer and communication systems. It covers the theoretical foundations of the field as
This book develops and illustrates a comprehensive, multi-level framework for the evaluation of industrial research and development (R&D) activities and the measurement of their performance. The framework encompasses a set of hierarchical, interrelated levels at which R&D evaluation and performance measurement could be undertaken. This enlightening book focuses on the single industrial firm to study performance measurement of R&D functions, projects and individual researchers or engineers. It also addresses R&D evaluation from the point of view of financial markets, with a focus on the relationship between R&D investments and the value of the traded firm. The book broadens tin scope to study the role of technology platforms as R&D coordination mechanisms and also looks at the evaluation of R&D policies. This book will be warmly welcomed by researchers and postgraduate students in disciplines concerned with innovation management, technology policy, and finance who wish to gain an updated overview of R&D evaluation and performance measurement as well as exploring different units of analysis.
Understanding supplier performance is vital to ensuring a well-functioning supply network. This unique how-to book helps readers develop and implement a supplier evaluation process that can result in reduced costs, lower risk, and improved performance of both the user's company and its suppliers.