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Relevant bibliographies by topics / Performance indicators

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Academic literature on the topic 'Performance indicators'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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Journal articles on the topic "Performance indicators"

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Ranparia, Nanjibhai D. "Performance Indicators of Mutual Funds." Indian Journal of Applied Research 3, no. 2 (October 1, 2011): 35–38. http://dx.doi.org/10.15373/2249555x/feb2013/12.

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Conlon, Michael. "Performance Indicators." Higher Education Management and Policy 16, no. 1 (April 20, 2004): 41–48. http://dx.doi.org/10.1787/hemp-v16-art5-en.

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Williams, M. K. "Performance indicators." BMJ 300, no. 6726 (March 17, 1990): 751. http://dx.doi.org/10.1136/bmj.300.6726.751-d.

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Swales, Audrey. "Performance Indicators." School Organisation 9, no. 1 (January 1989): 21–26. http://dx.doi.org/10.1080/0260136890090102.

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Erikson, S. G. "Performance indicators." Safety Science 47, no. 4 (April 2009): 468. http://dx.doi.org/10.1016/j.ssci.2008.07.024.

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Hackett, E. Raymond, and Sarah D. Carrigan. "Performance Indicators." education policy analysis archives 6 (September 6, 1998): 17. http://dx.doi.org/10.14507/epaa.v6n17.1998.

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Measures of overall institutional performance were explored from a decision support perspective with twenty similar Carnegie Classification Baccalaureate II institutions. The study examined the usefulness of performance indicators in campus decision making following both a hypothesis testing and case study approach. Two conclusions were reached: first, that the performance measures most commonly cited in the literature as measures of institutional financial viability are of limited use for institution specific policy development; and second, that performance indicators are most effectively used within an institution specific, whole system framework.

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Gopfert, M. "Performance indicators." Psychiatric Bulletin 12, no. 1 (January 1, 1988): 25. http://dx.doi.org/10.1192/pb.12.1.25.

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Bareford, D. "Performance indicators." Journal of Clinical Pathology 42, no. 3 (March 1, 1989): 332. http://dx.doi.org/10.1136/jcp.42.3.332-a.

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Andrews, Hilary. "Performance indicators." Primary Health Care 12, no. 4 (May 2002): 12. http://dx.doi.org/10.7748/phc.12.4.12.s9.

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Daniels, Barrie. "Performance Indicators." Work Study 39, no. 5 (May 1990): 22–26. http://dx.doi.org/10.1108/eum0000000002623.

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Dissertations / Theses on the topic "Performance indicators"

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Johnes, J. "University performance indicators." Thesis, Lancaster University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233998.

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Herrera, Ivonne Andrade. "Proactive safety performance indicators." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for produksjons- og kvalitetsteknikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-16990.

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The objective of the thesis is to present studies addressing the question: How do we identify that a system drifts or experiences sudden changes in the safety space? Hence, the studies in this thesis focus on the identification of safety performance indicators. This identification is influenced by the way safety is understood. If safety is seen as the absence of accidents and failures, then indicators refer to failures, malfunctions or deviations. Safety critical organizations like airlines, air navigation service providers or oil companies have implemented numerous improvements by using such lagging indicators. These lagging indicators by their nature provide information after the fact. Nevertheless, today’s systems and organizations must be able to function in rapidly changing environments in which there is a great deal of uncertainty. The Resilience Engineering perspective does not see safety as the absence of failures but as something that the organization or the sociotechnical system does. Thus successes and failures are related to the capability of the system or organization to adjust and continue operations in the presence of continuous changes and operational constrains. Given such a perspective, finding indicators that allow an organization to act before something happens, i.e. to be leading, rather than reactive and lagging, is a main challenge. In order to address this challenge, the work starts with a systematic review of existing methods that could be applied for the identification of safety indicators. The thesis explores methods accounting for the monitoring of failures, deviations and everyday performance. In everyday operation, there are many successes i.e. flights arrive on schedule without significant problems. Hence, the empirical part of the work deals with the understanding the deficiencies and strengths of specific incidents and daily operations. Established and relatively new methods are tested. Each method represents a different perspective on safety having an influence on the identification of indicators. Using a multidisciplinary analysis that combines methods with different perspectives provides broad understanding. The studies document the application of the following methods: 1) Triangulation using a list of outcome and activity indicators, 2) Sequentially Timed Events Plotting (STEP method), 3) storytelling and 4) the Functional Resonance Analysis Method (FRAM method). Findings from the studies and their limitations have been presented and discussed with industry and the research community. It is essential to understand how a system operates under operational and financial constraints in order to identify that the system drifts or experiences sudden changes. Therefore, the main argument in this thesis is the identification of indicators related to failures and everyday successful operations. For that purpose, it is reasonable to distinguish from among three types of performance indicators: 1) lagging indicators, which refer to what has occurred in the past; 2) current indicators, which refer to what is occurring now; and 3) leading indicators, which refer to what may occur in the future. While, there is considerable data available for lagging indicators, a balanced composition of lagging, current and leading indicators is needed. Hence, the thesis represents a step forwards for the identification of current and leading indicators. The test of the methods provides a tool box for industry. The work also contributes to develop the FRAM method. While most of the subjects are related to aviation some ideas and methods presented in this thesis are useful to other safety critical organizations such as industry in the nuclear, oil and gas or railway sectors.

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Jones, Hayley Elizabeth. "Modelling longitudinal performance indicators and identifying unusual performance." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608771.

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Schuh, Christine. "Performance indicators for indoor air quality." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/NQ54809.pdf.

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Arhall, Johanna, and Emmie Cox. "Key Performance Indicators for SAS Flights." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-104028.

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Revenue management is a thoroughly researched field of study and it is widely used in several different industries. The Revenue Management Department at the airline SAS (Scandinavian Airline System) serves to maximise the profit of the company’s flights. At their disposal they have a number of tools, which use KPIs (Key Performance Indicators) as a measurement. The KPIs are used in prognosis to determine future initiatives, and to analyse and verify results. SAS does not know if the KPIs they focus on to measure performance are the most relevant for optimisation of revenue for their flights. In an attempt to simplify the use of SAS’ optimisation system we have performed a correlation analysis on a set of selected KPIs and assessed the influence relationships between these KPIs, in order to identify pivotal KPIs. Furthermore, we have researched origindestination control and the network effect to broaden the scope of the investigation. We have presented the work and the results in this thesis. The correlation analysis was performed using data, spanning a two-year period, for domestic flights (within Sweden) provided by SAS. The results of the analysis showed that the assessed KPIs could be divided into three groups; within each group the KPIs are closely correlated. As a result, we concluded that to focus on one KPI in each group should be adequate for evaluating performance. The three pivotal KPIs are revenue passenger kilometre, cabin factor and revenue per available seat kilometre. We have recommended SAS to continue working with origin-destination control and that the pivotal KPIs should be used as a measurement for the network, as well as measurements such as net leg revenue. Additionally, we have suggested that SAS conducts equivalent or similar analyses in other suitable areas to identify or confirm pivotal KPIs.

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Florey, Barrie H. W. "Appraising farm business financial performance indicators." Thesis, Bangor University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417259.

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RODRIGUES, WELLINGTON. "PETROBRAS BALANCED SCORECARD: DOWNSTREAM PERFORMANCE INDICATORS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9450@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
O nível de competitividade atual privilegia o desenvolvimento do pensamento estratégico, exigindo que as empresas se posicionem adequadamente frente às pressões dos agentes de mercado. Um bom sistema de medição de desempenho é fundamental para a estratégia da organização, pois permite verificar se a organização está no rumo desejado. Nesse contexto, alinhar os indicadores estratégicos de área aos corporativos tem grande importância, visto que uma área poderá afetar o desempenho da corporação. Medir esses indicadores não é uma tarefa trivial, haja vista o elevado número de indicadores adotados pelas empresas, geralmente pouco úteis e não balanceados. O modelo de avaliação de desempenho proposto por Kaplan e Norton, em 1990, o Balanced Scorecard permite um melhor equilíbrio entre os indicadores. Uma das organizações que implementaram o BSC é a Petrobras, que vem trabalhando intensamente no refinamento dessa ferramenta em suas Unidades de Negócios. A adoção do BSC pela Petrobras tem como foco uma melhora em seus indicadores e a criação de um Mapa Estratégico que explicita seus objetivos estratégicos de modo apropriado. Essa dissertação analisou o BSC da Petrobras, focalizando os indicadores do Downstream. Em decorrência da análise, sugere-se um novo Mapa Estratégico, com um número menor de objetivos e indicadores, o que possibilita um melhor entendimento das estratégias.
Nowadays, the high degree of competitiveness privileges the development of strategical thinking, and the companies are required to adequately face the market pressure. A good performance measuring system is fundamental for the strategy of the organization, for it helps the organization to maintain the desired direction. In this context, it is important to align each area strategical indicators with corporative objectives, since an area might affect corporation performance. To measure these indicators is not a trivial task, since the companies can adopt a great number of them, generally ineffective and not balanced for. The model of performance evaluation proposed by Kaplan and Norton, in 1990, called the Balanced Scorecard, provides a better balance between performance indicators. Petrobras, as one organization that implemented BSC, is intensely working in the refinement of this tool in its businesses units. The adoption of BSC by Petrobras aims at improving its indicators and creating a Strategical Map that highlightens its strategical objectives in an appropriate way. This dissertation analyzes Petrobras BSC, focusing the indicators at the Downstream area. As a result of this analysis, a new Strategical Map is suggested, with a reduced number of objectives and indicators, which makes possible to better communicate its strategies.

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ALBUQUERQUE, MARCELO CAVALCANTI DE. "PERFORMANCE INDICATORS IN FREIGHT RAILWAY TRANSPORTATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10094@1.

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O presente estudo tem como objetivo analisar os indicadores de desempenho ferroviário. Para tanto, buscou-se inicialmente mostrar a logística como vantagem competitiva, seu modo de gestão e a estruturação do processo logístico. Os modais de transporte, a multimodalidade e a intermodalidade são analisados brevemente. A importância das medidas de desempenho em logística é comentada, incluindo o seu histórico, passando pelas questões organizacionais, assim como os modelos mais utilizados de medição de desempenho. No corpo principal da dissertação, são apresentados e discutidos os indicadores de desempenho ferroviário, focando-se a sua importância, os tipos de indicadores, a apresentação dos principais indicadores do transporte de carga, a visão do cliente neste processo e o trafego mútuo e direito de passagem. Concluiu-se que o uso dos indicadores de desempenho constitui-se em um elemento fundamental nos resultados do negócio ferroviário.
The objective of the present study is to analyze the rail performance indicators. For such purposes, logistics is initially presented as a competitive advantage, its managing type and process structure. The transportation modes, the multimodal, and intermodal are briefly analyzed. The importance of the performance metrics in logistics is discussed, including their history, their organizational issues, and the most common used indicators. In the main part of this research, the rail performance indicators are presented and discussed, focusing on its importance, types, main cargo transportation indicators, the customers´ perception of this process, mutual traffic and pass through rights. In conclusion, the performance indicators usage compose a essential element for railroad business output.

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Davidson, Anne Leslie. "Key performance indicators in humanitarian logistics." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35540.

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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.
Includes bibliographical references (leaves 86-87).
Non-profit humanitarian relief organizations have typically been unable to measure the performance of their supply chains due to an inability to centrally capture data from operations. With the recent development and implementation of information technology systems that can support the logistics function of these organizations, the data is now available to measure performance, but what is still lacking is a central framework of metrics that measures performance according to the organization's strategic goals. First, this thesis reviews the best practices noted in performance measurement systems of the logistics functions in military and commercial organizations and applies them to the humanitarian sector. Second, the thesis suggests a framework of key performance indicators to be implemented in an international non-profit humanitarian organization based on the unique strategic goals of the sector. The thesis then applies this proposed framework to two actual operations performed by this organization.
(cont.) The analysis performed herein proves that a measurement system would help strengthen the organization's ability to deliver goods to beneficiaries more efficiently and effectively. Finally, the thesis addresses feasibility issues of implementing a measurement system in the non-profit sector and also describes the next steps of opportunities related to measurement systems within humanitarian logistics.
by Anne Leslie Davidson.
M.Eng.in Logistics

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Wilkinson, Michael. "Physiological indicators of performance in squash." Thesis, Sheffield Hallam University, 2009. http://shura.shu.ac.uk/20701/.

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The aim of this thesis was to develop and validate squash-specific fitness tests to identify physiological determinants of repeat-sprint ability and performance in sub-elite and elite-standard squash players. Study one examined the validity of a squash-specific test of endurance capability and VO[2max]. Trained squash players and runners completed squash-specific and treadmill incremental tests to exhaustion. Squash players achieved greater VO[2max] on the squash-specific than the treadmill test while runners did not differ. Squash players exercised longer than runners on the squash-specific test despite similar VO2max. The squash test discriminated endurance capability between squash and non-squash players of similar fitness and elicited higher VO[2max] in squash players. The results suggest that it is a valid test of aerobic fitness in squash players. Study two assessed the reproducibility of physiological and performance measures from the squash specific test in county-standard players. Test-retest variability was low for all measures (Typical error < 5%) though the magnitude varied depending on the metric used. Studies three and four examined the validity and reproducibility of squash-specific tests of change-of-direction speed and multiple-sprint ability. County-standard squash players and footballers completed squash-specific and equivalent non-specific tests on separate days. Performance time was recorded. Participants repeated the tests seven days later to assess reproducibility. Squash outperformed non-squash players on the squash-specific tests despite similar non-specific capabilities. Squash-specific tests discriminated squash player rank while non-specific tests did not. Test-retest variability was low (Typical Error < 3%) for both tests. Squash-specific tests predicted ability in squash players and discriminated between squash and non-squash players of equal nonspecific fitness. The findings suggest that the squash-specific tests are valid for the assessment of high-intensity exercise capabilities in squash players. Studies five and six explored correlates of multiple-sprint ability and performance in sub-elite and elite squash players. Squash-specific and general tests were performed by regional league players ranging from division three to premier standard and elite players on three tiers of a national performance program. In sub-elites, multiple-sprint ability and endurance capability discriminated performance and multiple-sprint ability was related to change-of-direction-speed, VO[2max] and endurance capability. In world-ranked men and women, the ability to perform and sustain rapid changes of direction correlated with multiple-sprint ability and together with multiple-sprint ability discriminated performance. Aerobic fitness was not related to performance or multiple-sprint ability in elite players. Senior elites performed better than players on the talented athlete scholarship scheme (TASS) on all tests except VO[2max] and counter-movement jump. Drop-jump power and reactive strength discriminated senior and transition level from TASS players and indices from the multiple-sprint test discriminated seniors from transition and TASS players. This thesis has validated squash-specific tests of endurance and high-intensity exercise capabilities. These tests have shown that high-intensity exercise capabilities determine performance in elites while sub-elite performance is determined by multiple-sprint ability and endurance capability. The findings can be used to improve assessment of training effects and to inform the design of effective training methods.

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Books on the topic "Performance indicators"

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Taylor, Fitz-Gibbon Carol, ed. Performance indicators. Clevedon, Avon, England: Multilingual Matters, 1990.

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Council, Polytechnics and Colleges Funding. Performance indicators. [London]: PCFC, 1990.

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Department, Cornwall County Library Libraries and Arts. Performance indicators. Truro: Cornwall County Council, 1992.

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Cornwall County Library. Libraries and Arts Department. Performance indicators. Truro: Cornwall County Council, 1993.

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Alfred, Morris, and Polytechnics and Colleges Funding Council., eds. Performance indicators. [London]: Polytechnics and Colleges Funding Council, 1990.

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Parmenter, David. Key Performance Indicators. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119019855.

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Parmenter, David. Key Performance Indicators. New York: John Wiley & Sons, Ltd., 2007.

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Great Britain. Department of Health., ed. NHS performance indicators. London: Department of Health, 2002.

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Australia. Bureau of Industry Economics., ed. International performance indicators. Canberra: Australian Government Pub. Service, 1992.

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Pybus, Ronald L. Performance indicators 1988. Trowbridge: Wiltshire County Council Library & Museum Service, 1988.

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Book chapters on the topic "Performance indicators"

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Ashford, Norman, and Clifton A. Moore. "Performance Indicators." In Airport Finance, 187–205. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-0686-4_9.

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Jany-Catrice, Florence. "Performance Indicators." In Encyclopedia of Quality of Life and Well-Being Research, 4711–16. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2137.

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Johnes, Geraint. "Performance Indicators." In The Economics of Education, 161–83. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-23008-2_9.

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Eloranta, Eero, and Steve Crom. "Performance Indicators." In IFIP Advances in Information and Communication Technology, 391–96. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34847-6_43.

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Peng, Kern. "Performance Indicators." In Equipment Management in the Post-Maintenance Era, 165–90. 2nd ed. New York: Productivity Press, 2021. http://dx.doi.org/10.4324/9781003054856-8.

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Jany-Catrice, Florence. "Performance Indicators." In Encyclopedia of Quality of Life and Well-Being Research, 5088–93. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_2137.

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Camilleri, Emanuel. "Performance Measurement." In Key Performance Indicators, 3–25. London: Routledge, 2024. http://dx.doi.org/10.4324/9781032685465-2.

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Bergeron, Bryan P. "Nonclinical Indicators." In Performance Management in Healthcare, 53–82. Second edition. | Boca Raton : Taylor & Francis, 2018. | “A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: Productivity Press, 2017. http://dx.doi.org/10.4324/9781315102214-6.

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Bergeron, Bryan P. "Clinical Indicators." In Performance Management in Healthcare, 83–110. Second edition. | Boca Raton : Taylor & Francis, 2018. | “A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: Productivity Press, 2017. http://dx.doi.org/10.4324/9781315102214-7.

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Camilleri, Emanuel. "Performance Management Framework." In Key Performance Indicators, 104–54. London: Routledge, 2024. http://dx.doi.org/10.4324/9781032685465-5.

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Conference papers on the topic "Performance indicators"

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Martin, Alison. "Health Performance Indicators." In International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/156133-ms.

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Smith, D. "Health Performance Indicators." In SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2002. http://dx.doi.org/10.2118/73998-ms.

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de Jong, Geert, A. Barbey, L. Arnulf, M. Covil, E. Dahl-Hansen, F. Dugelay, K. Hide, et al. "Health Performance Indicators." In SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2000. http://dx.doi.org/10.2118/61170-ms.

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Haugen, Celine G., Ola Lædre, and Sigmund Aslesen. "Takt Performance Indicators." In 28th Annual Conference of the International Group for Lean Construction (IGLC). International Group for Lean Construction, 2020. http://dx.doi.org/10.24928/2020/0135.

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Limongelli, Maria Pina, Andre Orcesi, and Anja Vidovic. "Rating of Prognostic Performance Indicators through the Indicator Readiness Level." In IABSE Symposium, Nantes 2018: Tomorrow’s Megastructures. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/nantes.2018.s27-43.

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Kallab, Chadi, and Marc Ghawi. "Generic key performance indicators." In 2014 Third International Conference on e-Technologies and Networks for Development (ICeND). IEEE, 2014. http://dx.doi.org/10.1109/icend.2014.6991373.

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Høj, Niels Peter, Irina Stipanovič, and Giel Klanker. "Performance Indicators for assessing RAMS SHEEP performance." In IABSE Symposium, Vancouver 2017: Engineering the Future. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2017. http://dx.doi.org/10.2749/vancouver.2017.0320.

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Nooij, Peter N. C., and Arne Theil. "Performance indicators modern surveillance radar." In 2014 European Radar Conference (EuRAD). IEEE, 2014. http://dx.doi.org/10.1109/eurad.2014.6991251.

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Sawabini, C. T., and Emmanuel O. Egbogah. "Reservoir Management Key Performance Indicators." In SPE Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/38091-ms.

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Rozendal, S., and A. R. Hale. "Analysis of HSE - Performance Indicators." In IADC/SPE Drilling Conference. Society of Petroleum Engineers, 2000. http://dx.doi.org/10.2118/59242-ms.

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Reports on the topic "Performance indicators"

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Sanz, E., P. Alonso, B. Haidar, H. Ghaemi, and L. García. Key performance indicators (KPIs). Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.002.

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The project “Social network tools and procedures for developing entrepreneurial skills in PhD programmes” (prodPhD) aims to implement innovative social network-based methodologies for teaching and learning entrepreneurship in PhD programmes. The multidisciplinary teaching and learning methodologies to be developed will enable entrepreneurship education to be introduced into any PhD programme, providing students with the knowledge, skills, and motivation to engage in entrepreneurial activities. However, the use of the output of the project will depend on the nature and profile of the research or scientific field. In this context, key performance indicators (KPIs) form the base on which the quality and scope of the methodologies developed in the project will be quantified and benchmarked. The project’s final product will be an online tool that higher education students can use to learn entrepreneurship from a social network perspective. Performance measurement is one of the first steps of any project and involves the choice and use of indicators to measure the effectiveness and success of the project’s methods and results. All the KPIs have been selected according to criteria of relevance, measurability, reliability, and adequacy, and they cover the process, dissemination methods, and overall quality of the project. In this document, each KPI is defined together with the units and instruments for measuring it. In the case of qualitative KPIs, five-level Likert scales are defined to improve indicator measurability and reliability. The KPIs for prodPhD are divided into three main dimensions, depending on the stage of the project they evaluate. The three main dimensions are performance and development (which are highly related to the project’s process), dissemination and impact (which are more closely correlated with the project’s output), and overall project quality. Different sources (i.e., European projects and papers) have been drawn upon to define a set of 51 KPIs classified into six categories, according to the project phase they aim to evaluate. An Excel tool has been developed that collects all the KPIs analysed in the production of this document. This tool is shared in the Scipedia repository.

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Cowan, Mara R., and Andrew J. Kurzrok. Robust Indicators of Nonproliferation Performance. Office of Scientific and Technical Information (OSTI), February 2014. http://dx.doi.org/10.2172/1124045.

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Zenhäusern, Daniel. Key Performance Indicators for PVT Systems. IEA SHC Task 60, November 2020. http://dx.doi.org/10.18777/ieashc-task60-2020-0007.

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Report D1: The aim of this report is to provide precise definitions of useful KPI’s for PVT systems. Where possible, these definitions correspond to those used in the technology fields of solar thermal systems and photovoltaic systems. In particular, the KPI's for the thermal performance of PVT systems are to a considerable extent based on the definitions adopted in IEA SHC Task 44 (Hadorn 2015). The stipulation and use of standardized KPI’s and notations will be essential for the comparability of different research results.

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Zimmerman, Timothy A. Metrics and key performance indicators for robotic cybersecurity performance analysis. Gaithersburg, MD: National Institute of Standards and Technology, April 2017. http://dx.doi.org/10.6028/nist.ir.8177.

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Tang, CheeYee. Key performance indicators for process control system cybersecurity performance analysis. Gaithersburg, MD: National Institute of Standards and Technology, August 2017. http://dx.doi.org/10.6028/nist.ir.8188.

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Duron, Ziyad, Peter Orme, Spenser Anderson, Henry Diaz-Alvarez, Vincent Chiarito, and Mihan McKenna. Wave-speed-based performance indicators for Portugues Dam. Engineer Research and Development Center (U.S.), October 2018. http://dx.doi.org/10.21079/11681/29854.

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Park, Jaehyun, Chenxi Yuan, and Hubo Cai. Long-Term Pavement Performance Indicators for Failed Materials. Purdue University, November 2016. http://dx.doi.org/10.5703/1288284316333.

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Connelly, E., S. Van Hemel, and P. Haas. Industry based performance indicators for nuclear power plants. Office of Scientific and Technical Information (OSTI), July 1990. http://dx.doi.org/10.2172/6756430.

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Hollenbeck, Kevin, and Wei-Jang Huang. Workforce Program Performance Indicators for The Commonwealth of Virginia. W.E. Upjohn Institute, January 2008. http://dx.doi.org/10.17848/tr08-024.

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Serrano, Martin, Edward Griffor, David Wollman, Michael Dunaway, Martin Burns, Sokwoo Rhee, and Christopher Greer. Smart Cities and Communities: A Key Performance Indicators Framework. National Institute of Standards and Technology, February 2022. http://dx.doi.org/10.6028/nist.sp.1900-206.

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