Relevant bibliographies by topics / Key performance indicator

Academic literature on the topic 'Key performance indicator'

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Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Key performance indicator"

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Jha, Vidya. "Analysing Turnaround Time in Laboratory - A Key Performance Indicator." Recent Advances in Pathology & Laboratory Medicine 04, no. 04 (December 28, 2018): 1–3. http://dx.doi.org/10.24321/2454.8642.201813.

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Kuhlen, David, and Andreas Speck. "Efficient Key Performance Indicator Calculation." International Journal of Software Engineering & Applications 8, no. 5 (September 30, 2017): 01–15. http://dx.doi.org/10.5121/ijsea.2017.8501.

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Beretta, Sergio, and Saverio Bozzolan. "Il governo della performance dei processi di business: dai Key Performance Indicator ai Key Risk Indicator." MANAGEMENT CONTROL, no. 2 (September 2013): 9–37. http://dx.doi.org/10.3280/maco2013-002002.

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Setijono, Djoko, and Jens J. Dahlgaard. "Customer value as a key performance indicator (KPI) and a key improvement indicator (KII)." Measuring Business Excellence 11, no. 2 (June 5, 2007): 44–61. http://dx.doi.org/10.1108/13683040710752733.

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Judt, Ewald, and Claudia Klausegger. "Was ist eigentlich … ein Key Performance Indicator?" Zeitschrift für das gesamte Bank- und Börsenwesen 66, no. 11 (2018): 797. http://dx.doi.org/10.47782/oeba201811079701.

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Corsini, Alessandro, Fabrizio Bonacina, Luciano De Propris, Sara Feudo, and Andrea Marchegiani. "Multivariate Key Performance Indicator of Baking Process." Energy Procedia 82 (December 2015): 554–61. http://dx.doi.org/10.1016/j.egypro.2015.11.869.

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Creavin, Ben, Carolyn Cullinane, Emer O’Connell, Eddie Myers, and Brian Waldron. "AB077. 174. Performance indicator of colonic intubation: a new key performance indicator for colonoscopies?" Mesentery and Peritoneum 3 (2019): AB077. http://dx.doi.org/10.21037/map.2019.ab077.

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Gusnadi, Yance, and Aditiya Hermawan. "Designing Employee Performance Monitoring Dashboard Using Key Performance Indicator (KPI)." bit-Tech 2, no. 2 (December 30, 2019): 81–88. http://dx.doi.org/10.32877/bt.v2i2.107.

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Institutions or companies must indirectly be ready to face the era of digitalization in presenting company information, especially to see employee performance. Many companies have not used an application that can help in the process of monitoring employees so far. The problem that occurs is that the company has been monitoring the process using a Spreadsheet which consists of inputting employee performance and reporting employee performance results with a predetermined target. In the process it takes a long time and tools to assist in monitoring and measuring employee performance. Dashboard monitoring is designed using the Key Performance Indicator (KPI) method that will help management and then focus on performance aspects that are used as a measure of company performance, which in turn the dashboard application with KPI will facilitate division heads and managers in conducting the analysis process, monitoring and evaluation. From the results of this research, the use of dashboard monitoring can facilitate the user in monitoring and measuring the KPI of each employee.
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Sansone, Marcello, and Vincenzo Formisano. "Marketing Innovation and Key Performance Indicator in Banking." International Journal of Marketing Studies 8, no. 1 (January 29, 2016): 44. http://dx.doi.org/10.5539/ijms.v8n1p44.

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<p>This paper aims to analyze the relationship between marketing innovation and performance of an enterprise, studying in particular the banking sector. So after a brief review of the literature on services marketing and on the issue of business innovation, through the methodology of the single case (Yin, 1994; Dubois &amp; Gadde, 2002), that is appropriate because of the complexity of the phenomenon, the research analyzes how innovation of bank management—interpreted as a tendency to integrate strategies and tools of “marketing” that have long been the preserve of industrial production and, in recent years, of retailers—influences the performance and competitive advantages.</p><p>In detail, the work provides an analysis of the main KPIs of the bank on the one hand, and innovation indicators of marketing on the other; subsequently it detects any correlation between the two elements and it emphasizes through what strategies a bank has managed to overcome the crisis and to gain a defensible competitive advantage.</p>
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Sunarto, Rintis Mardika, Abba Suganda Girsang, and Melva Hermayanty Saragih. "Reporting Key Performance Indicator for Driver Using Whatsapp." International Journal of Emerging Technology and Advanced Engineering 11, no. 6 (June 16, 2021): 72–77. http://dx.doi.org/10.46338/ijetae0621_08.

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Employee performance is very important at the company, because employees are the main assets of the company, many companies pay less attention to this, even though this is closely related to customer satisfaction in service and company policy to determine the employee's future. PT. XYZ is a company that provides organized professional services and strict recruitment principles, even before starting work for drivers it must do training for 3 days. However, the facts in the field are different, there are still customers who complain because of poor driver's obligations, such as arriving late or not being good. Because there is no application yet to assess performance, this causes companies to collect complaints data and conduct performance evaluations based on facts in the field in real time. With this problem, the whatsapp chat application is chosen as media reporting, because according to the statistics of active media users, whatsapp will make it easier for drivers and customers to connect with the company's customer service (ChatBOT) in real time. The purpose of this study is to create and manage Key Performance Indicators by getting data feedback from the driver or customer per day that will be obtained at the end of the monthly period. Data obtained from feedback will be given to customers who provide material for companies to make decisions to determine work contracts and awards for drivers who work well
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Dissertations / Theses on the topic "Key performance indicator"

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Ran, Weijia, and 冉维佳. "Aligning learning with work practice by using key performance indicator framework." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45590540.

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Duncan, Helen. "Prioritisation of proactive sewer maintenance using serviceability as a key performance indicator." Thesis, Heriot-Watt University, 2007. http://hdl.handle.net/10399/2073.

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In sewerage asset management, there has been a concerted move away from primarily assessing system capacity, to focus on 'serviceability' as a key performance indicator. In the UK, water regulators have imposed an expectation on water companies to significantly lower the risk posed to customer serviceability from the sewerage industry. Proactive maintenance is the main vehicle by which asset managers aim to achieve this outcome. This thesis outlines the development of a methodology which ranks network pipes in order of risk to serviceability. The tool is base on the Failure Mode, Effect and Criticality Analysis (FMECA) principle that risk is a function of failure consequence and likelihood and in exception to other recently developed tools, this method focuses the analysis towards data which is readily available within the industry and aims to avoid data where reliability is in doubt, such as records of past events. The tool consists of an initial screening process to eliminate those pipes which are at a significantly reduced likelihood of flooding before each remaining pipe is scored according to various factors which affect consequence and likelihood of flooding. Final risk scores, and therefore rankings are then achieved through the combination of consequence and likelihood scores. Appropriate scores and weightings have been achieved through customer research, discussion with industry representatives and the completion of an additional study into trends in failure likelihood. The methodology is a decision support tool developed to aid sewerage asset managers in their role in balancing risk to customer serviceability against cost of intervention, by providing a measure of risk which is not dependent on poor quality data.
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Yafele, Aylwin. "Key performance indicator disclosures by large UK private and public listed companies." Thesis, Bournemouth University, 2012. http://eprints.bournemouth.ac.uk/20762/.

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This study aims to investigate the degree of compliance by large UK private and public listed companies with the Companies Act 2006 section 417 (6) requirement to disclose KPIs in their annual reports. Specifically, the study investigates the extent of KPI disclosures by 410 UK companies comprising the largest 205 private limited and largest 205 public listed companies. The study also examines whether corporate governance mechanisms and company specific characteristics influence the extent of KPI disclosures in the annual reports of these companies. The extent of KPI disclosures in this study is measured using three indices to quantify KPI disclosures. Some hypotheses for the independent variables were developed and tested using the Ordinary Least Squares (OLS) regression method to determine whether corporate governance and company specific characteristics are associated with the extent of KPIs disclosure by private, public listed and the pooled companies. In terms of the extent of disclosure, the results suggest that approximately 51% of private companies and 90% of public listed companies disclose at least one KPI in their annual reports. The OLS regression results indicate that corporate governance mechanisms (proportion of non-executive directors, board size and director share ownership) and company specific characteristics (company size and profitability) are significantly associated with the extent of KPI disclosures by private, public listed and the pooled companies. The frequency of board meetings and multinationality do not significantly explain disclosure extent and comprehensiveness. The overall conclusion of this research is that private companies do not seem to comply with the requirements to disclose KPIs and that corporate governance mechanisms are important in ensuring compliance with the requirement to disclose KPIs. The results have important implications for policy makers and accounting regulators such as the Accounting Standards Board in general, and in particular the Financial Reporting Review Panel (FRRP) which is charged with the responsibility of ensuring that large private and public listed companies comply with extant regulatory framework.
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Hamwi, Tayfe Built Environment Faculty of Built Environment UNSW. "The performance measurement of healthcare facility management: A way forward." Publisher:University of New South Wales. Built Environment, 2009. http://handle.unsw.edu.au/1959.4/43637.

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Facilities management is emerging rapidly as a distinct and critical field of study and professional practice for all sectors of the economy. In the past it has tended to be regarded as a service function and subsumed within other areas such as engineering, the built environment and business management. The health sector is an important part of the overall FM industry because it represents a driver of capital works that is both extensive and expensive. The health sector building requirements are growing, demand regular maintenance and upgrading, and are critical to core business. An extensive literature review revealed that there has been minimal published research into the development and implementation of a central feature of effective FM, namely, performance management. Performance management provides the primary evaluation and planning tool for FM, in that it identifies the performance indicators that are meaningful to FM and core business, provides measures for those indicators and enables projective planning and benchmarking to be undertaken. This research study assesses the possibility of developing a comprehensive performance measurement system for FM in the healthcare sector. The research has two main aims: - To identify the knowledge gaps in current FM performance measurement systems in general, and for the healthcare sector in particular. - To investigate the possibility of benchmarking FM performance across the healthcare sector using a weighted assessment across all categories of performance. In order to meet the research purpose and data collection requirements from the relatively limited number of FM experts who specialise in the health sector, the research methodology employs a combination of a case study approach as an exploratory tool, and a phenomenological approach as the main qualitative design. In achieving the aims and objectives, this research helps in improving FM practice in the healthcare sector through: - Providing facility managers with a comprehensive study which highlights the achievements and knowledge gaps in FM and its performance measurement - Providing top management with a study for the effectiveness of developing decision support strategy to make effective and efficient changes to their facility management practices - Facilitate the implementation of benchmarking techniques in the health sector, in order to improve the performance of the healthcare sector FM over time. The study concludes that developing aggregate/collective KPIs for each performance measurement category of possible measure (social/quality, financial, environmental, functional, and technical) is feasible. However, before being able to develop and implement that approach an improvement to the current FM practices is required. The improvement can be achieved via either a voluntarily or compulsory commitment from top management towards FM in the organizations. This commitment should be implemented with an appropriate hierarchy from the bottom to the top. The key components include: establishing the contribution of FM to the success of the overall business in financial terms; setting agreed FM objectives; deriving meaningful general KPIs; defining the data required for each KPI; establishing the system for collecting, analyzing and interpreting the data; and conducting the benchmarking process for continual improvement.
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Widerståhl, Christopher. "Effektiv försvarslogistik?" Thesis, Linköpings universitet, Logistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110679.

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Försvarets materielverk (FMV) står inför en omfattande ominriktning av verksamheten med tillhörande omorganisation. Den nya verksamheten innefattar att leverera tjänsten försvarslogistik till Försvarsmakten (FM). Då det inte finns någon entydig definition för vad försvarslogistik är så har detta arbete inriktats att utarbeta ett förslag till en sådan definition. Dessutom har en procedur skapats som identifierar relevanta prestandamått för ett godtyckligt försvarslogistiskt system, s.k. Key Performance Indicators (KPI), som kan användas för att påvisa om försvarslogistiken är effektiv eller inte.   För att skapa en definition, så undersöktes först vad teorin säger om tillvägagångssättet för uppbyggandet av definitioner. Därefter gjordes en större litteratursökning för att se hur och vad andra organisationer, verksamheter och teorier avser med försvarslogistik och använder termen försvarslogistik till. Den metod för definition som bedömts mest lämpad är den s.k. Förbättringsmetoden, vilken med litteratursökningen som underlag har används för att skapa ett definitionsförslag.   Sedan har en procedur skapas som identifierar, för försvarslogistik, relevanta KPI. Det utfördes genom att först genomföra en litteratursökning avseende vilka logistiska mått som finns, därefter för att besvara frågan vad KPI är och hur de används. De logistiska måtten, tillsammans med mått framtagna och härledda från definitionen, bildar en "bruttolista" med möjliga Performance Indicators (PI).   Vid utformandet av proceduren uppenbarade det sig att det inte gick att skapa en generisk metod, för alla möjliga försvarslogistiska system. Därför föreslogs ett vidare arbete som innebär att kategorisera system med liknande egenskaper i olika systemtyper. Med förslagsvis en totalkostnadsanalys och annan empirisk erfarenhet som grund kan PI för varje systemtyp väljas, för att på så sätt skapa "nettolistor" av generiska KPI för varje systemtyp. Är systemägaren intresserad av att ytterligare gallra bland dessa generiska KPI, så har ett frågebatteri skapats som sållar på basis av vad som är intressant att mäta.
The Swedish Defence Materiel (Försvarets Materielverk -FMV) faces a major redirection of its activities with an associated with reorganization. The new business is to deliver Defense Logistics Services to the Swedish Armed Forces (Försvarsmakten - FM). There is no existing Swedish definition for the term Defense Logistics. One purpose of this study has been to provide a proposed definition. FMV also requires a procedure for identifying relevant measurements, Key Performance Indicators (KPI), for arbitrary defense logistics systems, which can indicate whether the Defense Logistics Services delivered are effective or not.   In order to create a definition, the first step in this study is has been to examine what the theory says about methods for crafting definitions. There implied a need for a large literature review, with the purpose of identifying how and what other organizations, business and theories relate to and how they use the term of Defense Logistics. The information from the literature review was used as inspirational input when applying the improvements method, which is one of the methods available when crafting definitions.   The second purpose of this study has been to develop a procedure for identifying KPI:s related to Defense Logistics. This was also solved by a large literature review that identified existing logistical measurements and explained what KPI:s are and how they are used. The above logistical measurements together with measurements developed and derived from the definition were used to form a "comprehensive list" of possible Performance Indicators (PI).   During the design of the procedure it was recognized that it was not feasible to create a generic method for every possible defense logistic system. It was therefore proposed, as future work is, to categorize systems with similar characteristics into system types. With e.g. total cost analysis and other empirical experience as a basis, KPI can be chosen for each system type and thereby forming "net lists" for each generic system type. If the part interested in measuring a defense logistics service is interested in further narrowing the "net list" of KPI, a couple of questions are provided to assist in this, based on the concerns of the interest party.
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Singh, Karmjit. "A framework for sustainability performance assessment for manufacturing processes." Thesis, Federation University Australia, 2019. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/169827.

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Sustainable manufacturing methods make it possible to develop products in ways which minimize negative environmental impacts, conserve energy and save natural resources whilst being economically sound. The concepts of sustainability in manufacturing being are still fairly broad, in scope, and need to be more focused and firmly established at the process, machine or factory levels. This project proposes a structure for manufacturing with a main objective to develop a sustainability framework which encompasses various production processes. Structured information models for the seamless flow of information across the design and manufacturing domains, for selected manufacturing processes, are defined. The thesis work identifies key performance indicators (KPIs) for the assessment of manufacturing sustainability and performs analysis of selected unit manufacturing processes and their sub-processes with the aim of proposing a methodology for determining science-based measurements of the manufacturing processes affecting these KPIs. The theoretical foundations established are then used to develop a model that could evaluate sustainability of selected manufacturing processes and their respective process plans providing a basis for inter-process comparison and selection of the most sustainable process plan. The proposed framework is presented in form of a manufacturing planning computer-based package which is designed to to consider different influencing factors such as product information, part geometry, material related physical and processing properties and the manufacturing equipment operating data. The thesis presents a number of case studies which have been published in international journals. The case studies present estimates of the manufacturing sustainability KPIs for a number of production methods. These estimates have been verified with available shop floor data. The work in the thesis makes it possible to establish manufacturing industry equipped to deal the challenges of the future when sustainability will be the major factor up on which the quality of success will be determined.
Doctor of Philosophy
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Shamsaei, Azalia. "Indicator-based Policy Compliance of Business Processes." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23476.

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Background: Business process compliance management has recently attracted a lot of attention in both business and academia as it enables organizations to not only control and monitor their business processes from a legal point of view but also to avoid financial penalties and undesirable consequences to their reputation. Objective: This thesis aims to provide a framework that would enable organizations to: 1- Discover business processes that violate regulations, laws and policies; 2- Discover the importance level of business processes based on the organization’s goals; 3- Determine the impact of compliance-related process modifications on business goals, including conflicting goals between stakeholders, and on policies; and 4- Enable organizations to measure the level of business process compliance for one or multiple policies. Methodology: A systematic literature review in the area of goal-oriented business process compliance management and measurement has been conducted, which showed that balancing legal compliance obligations with business objectives remains a difficult challenge. A new Indicator-based Policy Compliance Framework (IPCF), which combines policy and rule models together with models capturing business goals (with their relative importance to the organization) and business processes, has been proposed. This framework builds on the User Requirements Notation (URN), which is the first international standard to combine goal modeling with scenario modeling. The intents and objectives of policies have been modeled, as well as the goals and business processes of organizations, and indicators are used to measure the compliance level of policies. This enables the detection of non-compliant business processes and the evaluation of the impact of compliance-related process modifications on business goals. Human resource policies and business processes are used as an example to illustrate the method. Aerodrome security regulations and business processes are then used to validate the method in a real-life environment. Comparisons to related work, evaluation against different sets of criteria, and tool support complement the framework validation. Results: The Indicator-based Policy Compliance Framework enables organizations to discover business processes that violate policies as well as other types of rules, regulations, and laws. Guidelines for modeling legal text with URN’s Goal-oriented Requirement Language (GRL) are proposed. Furthermore, IPCF helps determine the impact of compliance-related process modifications on business goals, including conflicting goals between stakeholders, and on policies. In addition, as policies sometimes apply differently to different types of organizations, a new profile for GRL, with suitable stereotypes, well-formedness constraints, and a modified analysis algorithm defined for GRL model families is used to evaluate the satisfaction level of individual goal models that are members of a larger family model. Finally, the proposed IPCF enables organizations to measure the level of business process compliance for one or multiple policies, and such measures can be visualized directly in URN models but also through interactive Business Intelligence portals, for a wider diffusion.
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Ngqumeya, Monde Benedict Afrika. "The effect of key performance indicators on state owned enterprises performance in South Africa : a critical analysis of three national departments." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/22810.

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The purpose of this exploratory research was to explore the effect of Key Performance Indicators (KPIs) on State Owned Enterprises’ performance in South Africa. The aim of the study was to establish the impact that KPIs have on state owned enterprises, how they are currently measured and the causes of success or failure of Key Performance Indicators (KPIs) on State Owned Companies.Fifteen respondents participated in this qualitative study. The survey method used was a questionnaire with closed and open-ended questions. The respondents were all Senior Executives including Chief Executive Officers, General Managers, Board Members and Senior Management employed by State Owned Enterprises reporting to the Department of Public Enterprises, Department of Transport and Department of Water Affairs. The research instrument that was used was a questionnaire with closed and open-ended questions.
Dissertation (MBA)--University of Pretoria, 2012.
Gordon Institute of Business Science (GIBS)
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Devenish-Meares, Peter. "A strategic analysis of the performance of the telephone banking channel." University of Southern Queensland, Faculty of Business, 2003. http://eprints.usq.edu.au/archive/00001421/.

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The telephone-banking channel, delivered through call centres, has become an integral part of the distribution mix of retail financial institutions. To get the greatest competitive advantage from this channel, the strategic orientation, structural and behavioural aspects of the call centre must be aligned with its operational-service and sales-performance objectives. Unfortunately, while considerable managerial effort is expended developing call centres, often their performance results remain uncertain or uncommunicated. There are indications also that financial institutions should not underestimate active market orientation benefits; innovative, strategic-thinking and progressive structures; flexible, empathic leadership, and, valuing supportive human resource strategies. Our survey of Australian deposit-taking institutions investigates the extent to which strategic and behavioural aspects are aligned with its operational-service and sales-performance objectives. Specifically, managerial approaches to IT development, competitive positioning, leadership delegation, market research attitudes and product orientation were considered. Approaches to trust, conflict, morale and reward, and, key performance indicator (KPI) choices were sought also. Results show sales performance is positively related to more externally focussed strategic orientations. Reinforcing the importance of innovative human resource practices, performance is also related positively to psychosocial climate in general and employee reward and morale, in particular. This extension of management theory urges financial service leaders to actively contemplate one of its most important resources, people. Further, the survey itself indicated that while the majority of institutions continue to use operationally based key performance indicators, such as minimum call duration, the ability of the call centre to generate sales revenue is also being recognised. In summary, given the size and potential of the telephone-banking channel, this research encourages further, urgent exploration of strategic relationships among the channel, its market, performance measures and comprehensive people-centred HR strategies aimed at developing high employee trust, and satisfaction.
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Sousa, Margarida Monteiro de. "Dashboard para análise do setor automóvel em Portugal : os anos 2019 e 2020 e consequências da pandemia." Master's thesis, Instituto Superior de Economia e Gestão, 2021. http://hdl.handle.net/10400.5/23307.

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Mestrado Bolonha em Métodos Quantitativos para a Decisão Económica e Empresarial
Este trabalho consiste numa análise ao setor automóvel em Portugal nos anos de 2019 e 2020 e consequências do período da pandemia, através da construção de um Dashboard que permite às empresas do setor, de uma forma rápida e eficaz, conseguirem analisar os dados sem precisarem de os tratar. Para além disso possibilita às empresas analisar a sua performance através de gráficos e tabelas. Este Dashboard é construído com dados da plataforma MotorData, pertencente à Associação do Comércio Automóvel de Portugal, ACAP, que representa, há mais de 100 anos, a globalidade do setor automóvel a nível nacional. Esta análise ultrapassa o problema anterior de apenas estar disponível para as empresas a informação do número de matrículas mensais por marcas. Com este trabalho as empresas não só conseguem ver o número de matrículas por marca, modelos, tipo de energia e segmento, como também saber qual a sua performance no mercado. Procedeu-se também a uma análise dos dados obtidos no MotorData para o período de pandemia e concluiu-se que o confinamento foi responsável, por exemplo, pela diminuição da venda de ligeiros em 49%.
This work consists of an analysis of the automotive sector in Portugal in the years 2019 and 2020 and the consequences of the pandemic, through the construction of a Dashboard that allows companies in the sector to quickly and effectively analyse the data without having to process them. In addition, it enables companies to analyse their performance through graphs and tables. This Dashboard is built with data from the MotorData platform, which belongs to the Portuguese Automobile Trade Association, ACAP, which has represented for over 100 years the entire national automotive sector. This analysis overcomes the previous problem of only being available to companies the information on the number of monthly registrations by brands. With this work companies are not only able to see the number of registrations by brand, models, type of energy and segment, but also to know their performance in the market. An analysis of the data obtained in MotorData for the pandemic period was also carried out and it was concluded, for instance, that the lockdown was responsible for 49% reduction on the sale of light vehicles.
info:eu-repo/semantics/publishedVersion
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Books on the topic "Key performance indicator"

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Hodges, Benjamin. Key performance indicator: 26 most asked questions : what you need to know. Brisbane, Australia]: Emereo Publishing, 2014.

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

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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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Krause, Hans-Ulrich, and Dayanand Arora. Controlling-Kennzahlen - Key Performance Indicators. München: OLDENBOURG WISSENSCHAFTSVERLAG, 2010. http://dx.doi.org/10.1524/9783486712018.

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Victoria. Department of Infrastructure. Local Government Branch. Victorian public libraries: Key performance indicators. [Melbourne]: Infrastructure, Local Government Branch, 1999.

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Georg, Stefan. Key Performance Indicators für junge Unternehmen. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-27546-4.

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Marr, Bernard. Key performance indicators: The 75 measures every manager needs to know. New York: Pearson Financial Times Pub., 2012.

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Key performance indicators: Developing, implementing, and using winning KPIs. Hoboken, N.J: John Wiley & Sons, 2010.

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Key performance indicators: The 75 measures every manager needs to know. New York: Pearson Financial Times Pub., 2012.

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Savage, D. Identification of key performance indicators for information technology projects. Oxford: Oxford Brookes University, 1996.

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Book chapters on the topic "Key performance indicator"

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Reunanen, Jussi, Jari Salo, and Riku Luostari. "LTE Key Performance Indicator Optimization." In LTE Small Cell Optimization, 195–248. Chichester, UK: John Wiley & Sons Ltd, 2015. http://dx.doi.org/10.1002/9781118912560.ch12.

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Richter, Detlev. "Memory Optimization: Key Performance Indicator Methodology." In Flash Memories, 203–45. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6082-0_6.

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Werther, Iron. "Der KPI (Key Performance Indicator)-Report." In Business Intelligence, 29–37. München: Carl Hanser Verlag GmbH & Co. KG, 2013. http://dx.doi.org/10.3139/9783446436350.005.

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Maté, Alejandro, Juan Trujillo, and John Mylopoulos. "Key Performance Indicator Elicitation and Selection Through Conceptual Modelling." In Conceptual Modeling, 73–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46397-1_6.

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Dean, Sheldon W. "Electrode Potential as a Key Indicator of Corrosion Performance." In Advances in Electrochemical Techniques for Corrosion Monitoring and Laboratory Corrosion Measurements, 211–30. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2019. http://dx.doi.org/10.1520/stp160920170196.

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Supeekit, Tuangyot, Tuanjai Somboonwiwat, and Duangpun Kritchanchai. "Linking Hospital Supply Chain Processes and Performance to Identify Key Performance Indicator." In Lecture Notes in Electrical Engineering, 927–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47200-2_97.

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Hoeur, Soriya, and Duangpun Kritchanchai. "Key Performance Indicator Framework for Measuring Healthcare Logistics in ASEAN." In Toward Sustainable Operations of Supply Chain and Logistics Systems, 37–50. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19006-8_3.

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Wang, Ming-Lang, and K. W. Wang. "Key Performance Indicator for ERP Developed in the Solar Cell Industry." In International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings, 459–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38445-5_47.

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Kardianto, Thoyyib, Prihatin Lumbanraja, and Meilita Tryana Sembiring. "Designing Key Performance Indicators (KPI) for Teachers to Improve the Performance of SMK Muhammadiyah 20 Panai Hulu, North Sumatra." In Proceedings of the 19th International Symposium on Management (INSYMA 2022), 710–13. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-008-4_89.

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AbstractOrganizational performance is an indicator of the level of achievement that can be achieved, reflecting the success of an organization and the results achieved by the organization members. Performance is the result of collaborative activities between members or organizational components in order to realize organizational goals. This study aims to design teacher performance indicators to improve school performance. The respondents of this study were SMK Muhammadiyah 20 Panai Hulu teachers, as an assessment factor using the National Education Assessment Standard (SNP), which contains the minimum criteria for the education component. The results of this study can be used as a benchmark for achieving teacher performance. Performance achievement benchmarks based on KPIs will significantly change every semester or year due to the performance standards adjustment by the school.
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Dieteren, Gerrie, Agnieszka Bigaj van Vliet, Yuguang Yang, and Alex Sangers. "Development of a Smart Key Performance Indicator for In-Situ Load Tests." In High Tech Concrete: Where Technology and Engineering Meet, 1907–16. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59471-2_218.

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Conference papers on the topic "Key performance indicator"

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Ying, Fei, and John Tookey. "Key Performance Indicator for Managing Construction Logistics Performance." In 25th Annual Conference of the International Group for Lean Construction. International Group for Lean Construction, 2017. http://dx.doi.org/10.24928/2017/0013.

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He, Shiming, Bo Yang, and Qi Qiao. "Overview of Key Performance Indicator Anomaly Detection." In 2021 IEEE Region 10 Symposium (TENSYMP). IEEE, 2021. http://dx.doi.org/10.1109/tensymp52854.2021.9550989.

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He, Shiming, Bo Yang, and Qi Qiao. "Overview of Key Performance Indicator Anomaly Detection." In 2021 IEEE Region 10 Symposium (TENSYMP). IEEE, 2021. http://dx.doi.org/10.1109/tensymp52854.2021.9550989.

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Tovarek, Leos. "Multidiscipline approach to key performance indicator measurements." In 2011 19th Telecommunications Forum Telfor (TELFOR). IEEE, 2011. http://dx.doi.org/10.1109/telfor.2011.6143514.

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Milbredt, Olaf, and Andreas Deutschmann. "Key Performance Indicator for Security Measurement at Airports." In AIAA Modeling and Simulation Technologies Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-4300.

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Rahayu, Maya, Sigit Haryadi, and Dyah Rakhma Aryanti. "Over the Top chat service key performance indicator." In 2015 1st International Conference on Wireless and Telematics (ICWT). IEEE, 2015. http://dx.doi.org/10.1109/icwt.2015.7449233.

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Ramadona, Suci, Sigit Haryadi, and Dyah Rakhma Aryanti. "Over the top call service key performance indicator." In 2015 1st International Conference on Wireless and Telematics (ICWT). IEEE, 2015. http://dx.doi.org/10.1109/icwt.2015.7449235.

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Pan, Wang, and He Wei. "Research on Key Performance Indicator (KPI) of Business Process." In 2012 International Conference on Business Computing and Global Informatization (BCGIN). IEEE, 2012. http://dx.doi.org/10.1109/bcgin.2012.46.

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Canon, Javier M., Sarah Yau, and Thierry Catheya. "Key Performance Indicator System for Deepwater Flow Assurance Operations." In Offshore Technology Conference. Offshore Technology Conference, 2016. http://dx.doi.org/10.4043/27017-ms.

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Chen, Zhiwen, Chunhua Yang, Tao Peng, and Yong Xie. "CCR Based Key Performance Indicator Monitoring Method for Industrial Processes." In 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE). IEEE, 2018. http://dx.doi.org/10.1109/isie.2018.8433635.

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Reports on the topic "Key performance indicator"

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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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Browne, R., A. Chilikin, and T. Mizrahi. Key Performance Indicator (KPI) Stamping for the Network Service Header (NSH). RFC Editor, May 2019. http://dx.doi.org/10.17487/rfc8592.

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Lee, Minsoo, Joon-Kyung Kim, Myung Ho Park, Longyun Peng, Tetsuji Okazaki, and Susumu Ishii. Developing Modernization Indicators for the People’s Republic of China: Key Considerations and a Proposed Framework. Asian Development Bank, December 2020. http://dx.doi.org/10.22617/wps200417-2.

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The People’s Republic of China (PRC) is in the process of modernization, which it expects to achieve by 2035. This requires a national indicator to gauge the progress and level of the country’s modernization drive. This working paper provides an indicator that assesses the progress in the PRC’s modernization journey, and applies this modernization indicator—structured on thematic categories, subcategories, and intersection—to the PRC’s performance, which is then compared with countries of the Organisation for Economic Co-operation and Development and the G20. The paper also examines four major policy implications of this modernization for the PRC, which will be more durable and successful if coupled with effective division of labor and synergy with stakeholders.
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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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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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Wollman, David. Smart Cities and Communities: A Key Performance Indicators Framework. National Institute of Standards and Technology, June 2022. http://dx.doi.org/10.6028/nist.sp.1900-206-upd1.

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Anilkumar, Rahul, Benjamin Melone, Michael Patsula, Christopher Tran, Christopher Wang, Kevin Dick, Hoda Khalil, and G. A. Wainer. Canadian jobs amid a pandemic : examining the relationship between professional industry and salary to regional key performance indicators. Department of Systems and Computer Engineering, Carleton University, June 2022. http://dx.doi.org/10.22215/dsce/220608.

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The COVID-19 pandemic has contributed to massive rates of unemployment and greater uncertainty in the job market. There is a growing need for data-driven tools and analyses to better inform the public on trends within the job market. In particular, obtaining a “snapshot” of available employment opportunities mid-pandemic promises insights to inform policy and support retraining programs. In this work, we combine data scraped from the Canadian Job Bank and Numbeo globally crowd-sourced repository to explore the relationship between job postings during a global pandemic and Key Performance Indicators (e.g. quality of life index, cost of living) for major cities across Canada. This analysis aims to help Canadians make informed career decisions, collect a “snapshot” of the Canadian employment opportunities amid a pandemic, and inform job seekers in identifying the correct fit between the desired lifestyle of a city and their career. We collected a new high-quality dataset of job postings from jobbank.gc.ca obtained with the use of ethical web scraping and performed exploratory data analysis on this dataset to identify job opportunity trends. When optimizing for average salary of job openings with quality of life, affordability, cost of living, and traffic indices, it was found that Edmonton, AB consistently scores higher than the mean, and is therefore an attractive place to move. Furthermore, we identified optimal provinces to relocate to with respect to individual skill levels. It was determined that Ajax, Marathon, and Chapleau, ON are each attractive cities for IT professionals, construction workers, and healthcare workers respectively when maximizing average salary. Finally, we publicly release our scraped dataset as a mid-pandemic snapshot of Canadian employment opportunities and present a public web application that provides an interactive visual interface that summarizes our findings for the general public and the broader research community.
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Hermann, Ludwig, Ralf Hermann, and Oscar F. Schoumans. Application of economic key performance indicators to five centralised anaerobic digesters : a product from the H2020 project SYSTEMIC. Wageningen: Wageningen Environmental Research, 2021. http://dx.doi.org/10.18174/572619.

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