About: Performance indicator is a research topic. Over the lifetime, 12701 publications have been published within this topic receiving 184621 citations. The topic is also known as: KPI & key performance indicator.
TL;DR: General classes of direct value comparison, coupling real and modelled values, preserving data patterns, indirect metrics based on parameter values, and data transformations are discussed.
Abstract: In order to use environmental models effectively for management and decision-making, it is vital to establish an appropriate level of confidence in their performance. This paper reviews techniques available across various fields for characterising the performance of environmental models with focus on numerical, graphical and qualitative methods. General classes of direct value comparison, coupling real and modelled values, preserving data patterns, indirect metrics based on parameter values, and data transformations are discussed. In practice environmental modelling requires the use and implementation of workflows that combine several methods, tailored to the model purpose and dependent upon the data and information available. A five-step procedure for performance evaluation of models is suggested, with the key elements including: (i) (re)assessment of the model's aim, scale and scope; (ii) characterisation of the data for calibration and testing; (iii) visual and other analysis to detect under- or non-modelled behaviour and to gain an overview of overall performance; (iv) selection of basic performance criteria; and (v) consideration of more advanced methods to handle problems such as systematic divergence between modelled and observed values.
TL;DR: Parmenter as discussed by the authors distills the balanced scorecard process into twelve logical steps, equipping users with an implementation resource kit that includes questionnaires, worksheets, workshop outlines, and a list of over 500 performance measures.
Abstract: Breathtaking in its simplicity and profound in its impact, Key Performance Indicators (KPI) distills the balanced scorecard process into twelve logical steps, equipping users with an implementation resource kit that includes questionnaires, worksheets, workshop outlines, and a list of over 500 performance measures. Author David Parmenter provides you with everything you need to master and implement a KPI-driven strategy.
TL;DR: A core focus of the book is introduced, namely, how a program’s available resources, eligibility criteria for selecting beneficiaries, and timing for mplementation serve to structure options in the selection of impact evaluation methods.
Abstract: Development programs and policies are typically designed to change outcomes such as raising incomes, improving learning, or reducing illness. Whether or not these changes are actually achieved is a crucial public policy question, but one that is not often examined. Impact evaluations are part of a broader agenda of evidence-based policy making. This growing global trend is marked by a shift in focus from inputs to outcomes and results, and is reshaping public policy.The first part of the book presents an overview of impact evaluation. Chapter 1 discusses why impact evaluation is important and how it fits within the context of ethical, evidence-based policy making. The authors contrast impact evaluation with monitoring, introduce the defining features of impact evaluation, and discuss complementary approaches, including cost-benefit analysis and cost-effectiveness analysis. The authors introduce a core focus of the book: namely, how a program’s available resources, eligibility criteria for selecting beneficiaries, and timing for mplementation serve to structure options in the selection of impact evaluation methods. Finally, the authors introduce different modalities of impact evaluation, such as prospective and retrospective evaluation, and efficacy versus effectiveness trials and conclude with a discussion on when to use impact evaluations. Chapter 2 discusses how to formulate evaluation questions and hypotheses that are useful for policy. These questions and hypotheses determine the focus of the evaluation. The authors also introduce the fundamental concept of a theory of change and the related use of results chains and performance indicators. Chapter 2 provides the first introduction to the fictional case study, the Health Insurance Subsidy Program (HISP), that is used throughout the book and in the accompanying material found on the Impact Evaluation in Practice website (www.worldbank .org/ieinpractice).
TL;DR: It is concluded that, to enable a full and objective interpretation of the data from the analysis of a performance, comparisons of data are vital and other normalizations of performance indicators should also be used more widely in conjunction with the accepted forms of data analysis.
Abstract: The aims of this paper are to examine the application of performance indicators in different sports and, using the different structural definitions of games, to make general recommendations about the use and application of these indicators. Formal games are classified into three categories: net and wall games, invasion games, and striking and fielding games. The different types of sports are also sub-categorized by the rules of scoring and ending the respective matches. These classes are analysed further, to enable definition of useful performance indicators and to examine similarities and differences in the analysis of the different categories of game. The indices of performance are sub-categorized into general match indicators, tactical indicators, technical indicators and biomechanical indicators. Different research examples and the accuracy of their presentation are discussed. We conclude that, to enable a full and objective interpretation of the data from the analysis of a performance, comparisons of data are vital. In addition, any analysis of the distribution of actions across the playing surface should also be presented normalized, or non-dimensionalized, to the total distribution of actions across the area. Other normalizations of performance indicators should also be used more widely in conjunction with the accepted forms of data analysis. Finally, we recommend that biomechanists should pay more attention to games to enrich the analysis of performance in these sports.
TL;DR: In this paper, a set of key performance indicators (KPIs), measured both objectively and subjectively are developed through a comprehensive literature review, and the validity of the proposed KPIs is also tested by three case studies.
Abstract: The construction industry is dynamic in nature. The concept of project success has remained ambiguously defined in the construction industry. Project success is almost the ultimate goal for every project. However, it means different things to different people. While some writers consider time, cost and quality as predominant criteria, others suggest that success is something more complex. The aim of this paper is to develop a framework for measuring success of construction projects. In this paper, a set of key performance indicators (KPIs), measured both objectively and subjectively are developed through a comprehensive literature review. The validity of the proposed KPIs is also tested by three case studies. Then, the limitations of the suggested KPIs are discussed. With the development of KPIs, a benchmark for measuring the performance of a construction project can be set. It also provides significant insights into developing a general and comprehensive base for further research.