Thematische Bibliographien / KPI INDICATORS

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Auswahl der wissenschaftlichen Literatur zum Thema „KPI INDICATORS“

Autor: Grafiati

Veröffentlicht am 26. Juni 2021

Zuletzt aktualisiert am 1. Februar 2022

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Zeitschriftenartikel zum Thema "KPI INDICATORS"

Zhang, Ke Wei. „Design for Enterprise Asset Management Evaluation System of Power Generation Enterprises Based on KPI“. Advanced Materials Research 694-697 (Mai 2013): 3401–5. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3401.

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Design for enterprise asset management (EAM) evaluation system of power generation enterprises based on key performance indicator (KPI) is proposed according to application of enterprise asset management system in power generation enterprises. KPIs preparations for implementation, goals and design principles are discussed. KPI-based EAM indicators of power generation enterprises are divided into operation management indicators, maintenance management indicators and materials management indicators in three parts. Finally benchmarking management analysis, comparative analysis of time trends and horizontal comparative analysis are used to analyze and evaluate the indicators.

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Swiatek, Cecile. „European academic libraries Key Performance Indicators (KPI)“. Performance Measurement and Metrics 20, Nr. 3 (11.11.2019): 143–58. http://dx.doi.org/10.1108/pmm-08-2019-0041.

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Purpose The French academic libraries directors association (ADBU) launched and updated a European comparative study on Key Performance Indicators (KPI) in Academic Libraries over the 2013–2017 period. The purpose of this paper is to briefly present the ADBU initiative; its main focus is how to use these figures to ground decision making process, notably so as to better assess the contribution of libraries in student success or research performance. Design/methodology/approach As universities and academic libraries are facing research evolutions and teaching/learning new models, a strong increase in students’ number is observed everywhere in Europe. This trend will most probably continue in the coming years and the pressure on academic libraries will grow. That is why the French ADBU took the initiative to launch a European comparative study on key and performance indicators in Academic Libraries over the 2013–2016 period. Data were updated in 2019, covering 2017 figures and including additional countries. Findings Thanks to the European partners and the help of a consultant firm, the first observations were updated with the 2017 figures and the country scope grew broader. Libraries buildings and equipment, space and seats per student, opening days and hours, frequentation rate, library services, users training, staff per student/documentary budgets/total expenditure, staff training, documentation loans/consultation/downloads: these KPI are gathered and can be compared in both relative and absolute value. Originality/value The ADBU initiative is unique, results are widely shared.

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Bai, Chunguang, und Joseph Sarkis. „Determining and applying sustainable supplier key performance indicators“. Supply Chain Management: An International Journal 19, Nr. 3 (06.05.2014): 275–91. http://dx.doi.org/10.1108/scm-12-2013-0441.

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Purpose – The purpose of this paper is to introduce a methodology to identify sustainable supply chain key performance indicators (KPI) that can then be used for sustainability performance evaluation for suppliers. Design/methodology/approach – Initially the complexity of sustainable supply chain performance measurement is discussed. Then, a two-stage method utilizing neighborhood rough set theory to identify KPI and data envelopment analysis (DEA) to benchmark and evaluate relative performance using the KPI is completed. Additional analysis is performed to determine the sensitivity of the KPI set formation and performance results. Findings – The results show that KPI can be determined using neighborhood rough set, and DEA performance results provide insight into relative performance of suppliers. The supply chain sustainability performance results from both the neighborhood rough set and DEA can be quite sensitive parameters selected and sustainability KPI sets that were determined. Research limitations/implications – The data utilized in this study are illustrative and simulated. Only one model for the neighborhood rough set and DEA was utilized. Additional investigations using a variation of rough set and DEA models can be completed. Practical implications – This tool set is valuable for managers to help identify sustainable supply chain KPI (from among hundreds of potential measures) and evaluate sustainability performance of various units within supply chains, including supply chain partners, departments, projects and programs. Social implications – Sustainability incorporates many business, economic and social implications. The methods introduced in this paper can help organizations and their supply chains become more strategically and operationally sustainable. Originality/value – Few tools and techniques exist in the sustainable supply chain literature to help develop KPIs and evaluate sustainability performance of suppliers and the supply chain. This paper is one of the first that integrates neighborhood rough set and DEA to address this important sustainable supply chain performance measurement issue.

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Alimul Karim, Abdul, Sri Gunani Partiwi und Adithya Sudiarno. „Designing Key Performance Indicators (KPI) with macro ergonomics approach“. MATEC Web of Conferences 204 (2018): 01014. http://dx.doi.org/10.1051/matecconf/201820401014.

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Some Electronic Procurement Agency (LPSE) at the level of Regional Device Work Unit (SKPD) in Indonesia is still in the development stage of its life cycle, so it needs performance improvement. Key Performance Indicator (KPI) is required to measure the performance. To undertake the development of the LPSE, a sociotechnical role is required. Sociotechnical is a concept of macro ergonomics that has a principle of balancing between social and technical in running a system. So this research aims to design KPI with macro Ergonomic approach. This research was conducted at LPSE District of Kampar, Riau, Indonesia. The stages of this research are the selection of Macro Ergonomic Sub-Attributes, Expert Selection with expertise based ranks of expert, weighting using Fuzzy (Analytical Hierarchy Process) AHP, determining the priority of sub macro ergonomic attribute using Pareto and design of KPI. The result of this research are 33 Sub-Attributes of Macro Ergonomic and prioritizing resulted 18 sub-attributes of Macro Ergonomic and result 21 KPI.

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Kusrini, Elisa, Fadrizal Novendri und Vembri Noor Helia. „Determining key performance indicators for warehouse performance measurement – a case study in construction materials warehouse“. MATEC Web of Conferences 154 (2018): 01058. http://dx.doi.org/10.1051/matecconf/201815401058.

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Warehouse performance measurement is needed to improve performance of logistics system. In order to improve warehouse performance, it is necessary to identify Key Performance Indicator (KPI). Different warehouses have different KPI, therefore this research aims to identify the most important KPI of warehouse so that warehouse manager can determine corrective actions in their warehouse efficiently and effectively. In this research, 25 KPI of warehouse are identified in five warehouse activities based on Frazelle model. The most important KPI are then determined in each warehouse activity using Analytical Hierarchy Process (AHP). Warehouse performance are measured and final score is determined using SNORM. Improvement steps are proposed base on benchmarking among warehouses. Warehouse performance measurement is conducted in 5 construction’s material warehouses located in Yogyakarta, Indonesia. From this study, it is found that most important KPI for receiving is productivity (receive per man-hour), KPI for put away is cycle time (put away cycle time), KPI for storage is utilization (% location and cube occupied), KPI for order picking is cycle time (order picking cycle time) and KPI for shipping is productivity (order prepared for shipment per man-hour). Improving warehouse performance could be done by comparing warehouse performance with the best performance among peer group.

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Triyanti, Vivi, Marsellinus Bachtiar und Carlos Yohan Rafavy. „Redesain Balanced Scorecard Strategy Map Berdasar Konsep KPI dan KRI“. JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 2, Nr. 2 (01.09.2013): 57. http://dx.doi.org/10.36722/sst.v2i2.126.

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Abstrak - Tulisan ini terkait dengan penelitian mengenai pengembangan manajemen dashboard di Fakultas Teknik Unika Atma Jaya. Pada penelitian sebelumnya telah dihasilkan rancangan peta strategi yang memuat tujuan-tujuan strategis (strategic objectives) dan indikator (lead dan lag) dari FT Unika Atma Jaya (UAJ) yang terbagi dalam empat perspektif balanced scorecard (BSC), yaitu: Perspektif Pelayanan, Perspektif Pelanggan, Perspektif Proses Bisnis Internal, serta Perspektif Pembelajaran dan Organisasi. Peta tersebut kemudian direklasifikasi lagi sehingga lebih sesuai dengan konsep indikator kinerja (Performance indicator – PI) dan indikator hasil (Result Indicators – RI). Terdapat 8 indikator proses yang diubah letaknya menjadi indikator hasil. Lebih lanjut, dari 120 indikator, terpilih 35 indikator yang dinyatakan sebagai KPI dan KRI, dan akan digunakan sebagai input di pembuatan aplikasi manajemen dashboard. Abstract - The paper is related to research about dashboard management development in Faculty of Engineering, Atma Jaya Catholic University of Indonesia. Previous research has resulted a strategy map with subsequent strategic objectives and indicators (lead and lag) for the Faculty of Engineering, which comprises of four Balanced Scorecards (BSC) perspectives as follows: Service, Customer, Internal Business Process, and Learning and Growth. The map then reclassified so that it fits to Performance indicators (PI) and Result Indicators (RI) concepts. which at the end of the day will be the basis for choosing key indicators (KPI and KRI). Finally, there are 8 process indicators that relocate to result indicators. Further, from 120 indicators, 35 indicators are chosen as KPI and KRI, which will be used in the next step of dashboard management application development.

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Putri, Nilda Tri, Insannul Kamil und Demi Ramadian. „Perancangan Standar Penilaian Kinerja Pemeliharaan Lampu Jalan Berdasarkan Key Performance Indicators (KPI’s): Studi Kasus di Kota Padang“. Jurnal Optimasi Sistem Industri 11, Nr. 2 (27.04.2016): 225. http://dx.doi.org/10.25077/josi.v11.n2.p225-234.2012.

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Sistem transportasi yang baik dan memadai merupakan hal penting yang harus diperhatikan untuk memenuhi kebutuhan pelayanan terhadap keperluan masyarakat dalam menjalankan aktivitasnya setiap hari. Aktivitas transportasi tidak hanya berlangsung pada siang hari, namun juga dilakukan pada malam hari sehingga keberadaan lampu penerangan jalan sangat penting untuk menerangi jalan dan melancarkan kegiatan transportasi tersebut. Saat ini kondisi lampu jalan di Kota Padang banyak yang mengalami kerusakan. Penyebab utama kerusakan lampu jalan adalah tegangan, yaitu beban puncak yang terjadi mulai dari pukul 18.00-23.00 WIB. Berdasarkan hal tersebut, penelitian ini menggunakan Key Performance Indicator (KPI) untuk menghasilkan standar penilaian kinerja dalam melakukan penilaian terhadap pemeliharaan lampu jalan yang ada di kota Padang. Perancangan dimulai dengan mengidentifikasi KPI yang didapatkan dari studi literatur. KPI yang telah didapatkan divalidasi kepada stakeholder untuk mendapatkan KPI yang cocok untuk diterapkan di kota Padang. Setelah itu dilakukan pembobotan KPI melalui perbamdingan berpasangan dengan menggunakan metode AHP.Keywords: penilaian, kinerja, key performance indicators, kinerja pemeliharaan lampu jalan

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Ivanov, V. V., Ya N. Dzhankova und A. N. Legkonogich. „IMPROVING THE SYSTEM OF REMUNERATION OF PERSONNEL OF THE ENTERPRISE ON THE BASIS OF KPI“. Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY), Nr. 3 (10.10.2017): 78–80. http://dx.doi.org/10.21122/1683-6065-2017-3-78-80.

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The advantages of the system of awarding of staff on key performance indicators are considered. The structure of formation of motivation on the basis of KPI. The main tasks when building a bonus system on the basis of KPI. Justification the use of key performance indicators in the enterprise is made. The scheme of construction of system of motivation of personnel KPI is proposed.

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Klimkovich, S. M., und E. V. Korneevets. „IMPROVING THE SYSTEM OF REMUNERATION OF PERSONNEL OF THE ENTERPRISE ON THE BASIS OF KPI“. Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY), Nr. 3 (10.10.2017): 81–83. http://dx.doi.org/10.21122/1683-6065-2017-3-81-83.

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Boev, A. G. „Methodology for the development of key performance indicators and customer satisfaction for the transformation strategy of the industrial complex“. Vestnik Universiteta, Nr. 7 (09.09.2021): 100–112. http://dx.doi.org/10.26425/1816-4277-2021-7-100-112.

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The article is devoted to the formation of key performance indicators (KPI) and customer satisfaction (CPI) for evaluating the implementation of strategies for the transformation of industrial complexes in the digital economy. The content of the KPI and CPI of the strategy for the transformation of the industrial complex as an integrated system of organizational, economic and sociological indicators is determined, allowing you to establish target quantitative values for the transformation and development of the most important elements, structures, processes and spheres of the enterprise, as well as to assess the degree of their achievement in operational and longterm periods. A methodology for the formation of KPI and CPI is proposed, a system and a scheme of mutual influence of these indicators are developed. The calculation procedure, data sources, and responsible performers for KPI and CPI are defined. Target values of KPI and CPI for industrial complexes from various regions of Russia have been developed. A general description of the mechanism for implementing KPI and CPI at enterprises is presented.

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Dissertationen zum Thema "KPI INDICATORS"

Melloni, Cristiana. „Ottimizzazione di un Sistema di Key Performance Indicators per la Divisione Engineering aziendale. Il caso INTERTABA S.p.A“. Master's thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amslaurea.unibo.it/685/.

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Il seguente elaborato è la diretta conseguenza di un periodo di stage, pari a cinque mesi, svolto presso l’azienda INTERTABA S.p.A., a Zola Predosa (BO). Il Dipartimento presso cui è stato svolto il tirocinio è l’Engineering. In particolare è stata compiuta un’analisi dei KPIs presenti e sono state proposte delle azioni migliorative. Il lavoro si è sviluppato in tre fasi. Nella prima fase è stata fatta un’analisi dei KPIs attuali per ciascuna funzione appartenente all’Engineering: Engineering Support, Project Engineering, Plant & Utilities Maintenance, Technical Warehouse e General Services. Nella seconda fase sono state descritte, per ciascuna funzione, alcune proposte migliorative per i KPIs presenti. Infine, per alcune funzioni, sono state proposte alcune iniziative in merito all’implementazione di nuovi KPIs.

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Ökvist, Alice, und Majda Cirkic. „Managing Profit Oriented Key Performance Indicators : A case study about how profit related KPIs can be managed in order to reach and excel profitability goals“. Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-30942.

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Engqvist, Markus, und Soto Karen Mori. „Defining a Process for Statistical Analysis of Vulnerability Management using KPI“. Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14723.

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In todays connected society, with rapidly advancing technology, there is an interest in offering technical services in our day to day life. Since these services are used to handle sensitive information and money, there are demands for increased information security. Sometimes errors occur in these systems that risk the security for both parties. These systems should be secured to maintain secure operations even though vulnerabilities occur. Outpost24 is one company that specializes in vulnerability management. By using their scanning tool OUTSCAN™, Outpost24 can identify vulnerabilities in network components, such as firewalls, switches, printers, devices, servers, workstations and other computer systems. These results are then stored in a database. Within this study, the authors will work together with Outpost24 towards this data. The goal is to define a process for generation of vulnerability reports for the company. The process will perform a statistical analysis of the data and present the findings. To solve the task a report was created, during which the process was documented. The work began with a background study into Key Performance Indicators (KPIs), in which the most common security KPIs were identified from similar works. A tool was also developed to help with the analysis. This resulted in a statistical analysis using Outpost24’s dataset. By presenting the data formatted by the KPIs, trends could be identified. This showed an overall trend of increasing vulnerabilities and the necessity for organizations to spend resources towards security. The KPIs offer other possibilities, such as creating a baseline for security evaluation using data from one year. In the future, one could use the KPIs to compare how the security situation has changed.

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Alrajehi, Shrouq H. „Importance of KPI identification and implementation in Kuwaiti construction industry“. Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/13824.

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Key Performance Indicators (KPIs) play a vital role for organizations to measure project performance. The core objective of Key Performance Indicators is that not only organizations but also customers want their projects to be completed within the stipulated time and budget while maintaining the quality standards. Performance measurement is foundation for continual improvement. Subsequently, as a regular rule, benchmarking is the next step to improve contractors’ efficiency and effectiveness of products and processes. Camp (1989) introduced benchmarking concepts and defines it as “the continuous process of measuring products, industry leaders.” It is a problem to measure the performance of large projects such as construction and communication projects using predefined KPIs. Objective of this research is to find a framework to improve project performance through benchmarking of key performance indicators, to identify the suitable KPI prevailing in the construction industry of Kuwait and develop and calculate the KPIs to assess the performance of the construction projects and making recommendations to improve project performances of construction industry. For this study two Kuwaiti construction companies are selected i.e. Company AA and Company BB. Performance of their financial and non-financial data is analyzed. Primary data is collected through questionnaires and in performance of Company BB. Data also revealed that Company BB’s are having cost and time overrun. Organizations like Company BB have to investigate reasons of cost and time delays causing dissatisfaction. Decision of material selection and delivery time should be carefully taken. Organizations should improve its employment policies from selection to compensation, working conditions, motivations and availability of health and safety facilities; as satisfied customers can satisfy customers. Subsequently, Company BB management performance needs immense improvement at all levels and in all processes. Consideration of design quality indicators (DQI) as per requirement of stakeholders and bio-diversity impacts, it is impossible to satisfy the internal or external stakeholders of construction projects. This thesis contributes useful and new knowledge to the Kuwaiti construction industry. This study reveals the importance of significant KPIs needed for the growth of medium construction organizations through benchmarking the bigger organizations. The ultimate goal of this study is to highlight the importance of KPIs to access success of medium construction organizations. Although it is believed KPIs could be used for benchmarking of bigger size organizations.

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Andersson, Jenny. „Nyckeltal (KPI) för framgångsrika projekt : En fallstudie inom bygg- och fastighetsbranschen“. Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79910.

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The construction and real estate industry are project-oriented where companies success depends on individual projects performance. To determine the efficiency of operations, performance can be measured through key performance indicators (KPIs), which are metrics used to analyze, measure and compare a company’s performance. Project-oriented businesses face challenges implementing successful projects and the industry is affected by cost and time overruns, lack of quality and unmet customer requirements, which can be linked to inefficient project management and inadequate follow-up. Furthermore, companies in the industry find it difficult to identify suitable KPIs that best show changes in performance and result as well as KPIs that are linked to strategic business goals and projects. The purpose of the study was to investigate how KPIs are used in the construction and real estate industry and how management of KPIs can be developed to carry out successful projects. In order to fulfill the purpose, a case study was conducted. Initially, a literature study was performed to gain knowledge of the problem area. The data collection was qualitative where a document analysis, observations, interviews and a focus group were conducted. This resulted in an understanding of the case study company´s project operations and KPIs. The study´s method of analysis consisted of a thematic analysis and comparative study. The result indicates the importance of a long-term perspective where successful projects involve work from an early stage, which includes resource allocation and project processes where subsequent project management must include efficient communication and sharing of knowledge as well as collaboration among departments and participants. During the project process there should be an exchange of experience and knowledge in order to avoid that mistakes are repeated and to enable organizational learning. The analysis showed that there are opportunities within the case company to improve a number of factors and the current follow-up of KPIs as well as how the business’s KPIs relate to strategic business goals and success factors. There is a link between success factors, KPIs and challenges within the industry. An understanding of success factors is important in order to design KPIs that align with strategic company goals and individual projects. The result may be of interest to other project-oriented businesses and industries where increased understanding can result in efficient processes and increased motivation regarding the project process and follow up, which can result in successful projects.

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Vedral, Jakub. „KPI management - auto alerting na platformě MS SQL“. Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-17180.

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This diploma thesis deals with the problem of automatic alerting on Microsoft SQL Server 2008 platform. Thesis was elaborated with Clever Decision s.r.o. company which significantly contributed to thesis assignment. Main goal of this thesis is to provide a solution concept for absence of alerting for multidimensional data in Microsoft's product. Alerting is aimed at critical business data -- Key performance indicators - KPIs. KPIs are used to deliver enhanced business performance through Corporate Performance Management concept. These indicators need to be watched frequently. Considering that alerting solution is convenient for watching the data. Solution concept is based on market research of Business Intelligence (BI) platforms which dominates the market. Platforms are examined for their alerting capabilities. Next goal is to provide overall insight to KPI management -- creating, managing, analyzing and monitoring of KPIs. Thesis is divided into three sections. First part creates theoretical background for solution creation and describes the field of KPI management. Second part consists of market research using selected criteria. Third part is aimed at providing the solution concept through web application fixing the absence of alerting on Microsoft SQL Server 2008 platform. This thesis is primarily intended for Clever Decision company but also for various BI experts dealing with alerting problems on BI platforms. Thesis serves also as a theoretical summary of KPI management which is commonly evaded by available technical literature.

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Elzahar, Hany. „Determinants and consequences of Key Performance Indicators (KPIs) reporting by UK non-financial firms“. Thesis, University of Stirling, 2013. http://hdl.handle.net/1893/19767.

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The study examines the level of quantity and quality of Key Performance Indicators (KPIs) reporting for a sample of FTSE 350 UK listed companies over the period (2006-2010). Furthermore, it identifies the determinants of KPIs reporting and investigates its impact upon firm value. Based upon the guidance of the best practice recommended by the Accounting Standard Board (2006), the study develops a measure of disclosure quality by considering the main qualitative attributes of information which, arguably, makes KPIs information more useful to stakeholders. The distinction between disclosure quantity and quality in the study enables the researcher to get greater insights into the drivers and implications of KPIs reporting quantity and quality. The study finds a variation between UK firms in the number of KPIs disclosed with a notable low level of reporting quality, especially for non-financial KPIs. It also finds that corporate governance mechanisms play an important role in improving KPIs reporting. In particular, it shows that directors’ compensations affect the quantity and quality of KPIs disclosure. Furthermore, the study provides evidence that quantity and quality of KPIs disclosure are not derived by the same factors, and both have different impacts on firm value. Whereas, the study finds a negative association between the numbers of KPIs disclosed and firm value, a non-significant relationship is reported between KPIs reporting quality and firm valuation. Overall, this study provides evidence that disclosure quantity is not a good proxy for disclosure quality.

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Hanzlík, Kamil. „Klíčové ukazatele výkonnosti (KPI) a jejich vazba na vrcholový ukazatel EVA“. Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-10489.

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This thesis is concerned with a discussion of advantages, disadvantages and potencial areas of usage of the Economic Value Added (EVA) as a measure of value based management. The coherency of EVA with key performance indicators as a tool of effective management is also analysed. Mentioned are also several alternative concepts. This thesis further analyses practical application of key performance indicators in mobile telecommunication company T-Mobile and evaluates the implemented concept of EVA as a central component of value based management.

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Samuelsson, Aima, Jeanette Svensson und Tobias Thulin. „Nyckeltal för småföretag : skapandet och användandet“. Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-22398.

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Idag redovisar många företag nyckeltal i deras årsredovisning för att tillgodose årsredovisningslagens krav på rättvisande bild. I Sverige tillhör 97 procent av dessa företag småföretag, som inte är undantaget för kravet när de är aktiebolag. Därför syftar denna studie att undersöka skapandet och användandet av nyckeltal i småföretag för att ta reda på vilka nyckeltal de använder, hur och varför de använder dem nyckeltalen, och deras tankar om detta verktyg. En kvalitativ metod med deduktiv tillvägagångssätt har använts i denna studie. Empirin samlades från ägarna av fem småföretag som befinner sig i Västra Götaland i Sverige genom en semi-strukturerad intervju. Företagen som har undersökts är aktiebolag med max 49 anställda. Olika källor har använts för att få mer information om företagen och årsredovisning. Resultatet visar att småföretagare använder nyckeltal. De använder nyckeltal som redan finns i deras årsredovisning. Trots kunskapsbristen om detta verktyg bland småföretagare, finns det företag som har skapat egna nyckeltal, dvs. direkta nyckeltal, och använder dem regelbundet i verksamheten. Det visar också att inte alla småföretag använder nyckeltal som underlag för mål och strategier eller för att implementera en strategi. Det är för att de kan generera en strategi även utan att använda detta verktyg men ändå lyckas med målet. Som de säger, finns det andra framgångsfaktorer. Kunskap spelar inte så stor roll hos småföretagare då det finns redovisningskonsulter som hjälper dem med att ha koll på deras ekonomi och därmed få kontroll på finansiella situationer. För att göra resultatet generaliserbart, kan man göra en utökad studie med fler företag och intervjuer, eller att komplettera denna studie med en kvantitativ metod. Det kan också vara en fördel att intervjua småföretag med deras redovisningsbyrå för att få båda perspektiv om ämnet då inte alla småföretagare har kunskaper om ämnet. Uppsatsen är skriven på svenska.
To comply with the requirement of the accounting on fair reporting, many companies today are including financial key ratios and/or key performance indicators on their annual reports. In Sweden, 97 percent of these businesses are small companies. These companies as long as they are incorporated are not an exemption. Therefore, this research paper aims to explore the creation and use of financial key ratios and/or key performance indicators in small incorporated companies to find out what financial key ratios and/or performance indicators they are using, how and why they are using them, and what they think of this tool. In this study, a qualitative method with a deductive approach has been used. The empiricism was gathered from the owners of five small companies located in Västra Götaland of Sweden through a semi-structured interview. All participating companies are incorporated with maximum of 49 workers. Other resources have also been used to get more information about the companies and their financial reports. The result shows that all participating companies are using financial key ratios and/or key performance indicators. They are using financial key ratios and/or key performance indicators that they have in their financial reports. Despite the lack of knowledge about this tool among small business owners, some companies have created their own key performance indicators and use them on a regular basis. It even shows that not all small companies are using financial key ratios and/or key performance indicators as a fundament for goals and strategies or to implement a strategy. This is because; small businesses can generate a strategy even without using this tool and still succeed with their goals. As they said, there are other factors that they consider have contributed to their success. In terms of knowledge, it really doesn’t matter that much because there are accounting firms that are helping business owners in managing their economy and gaining control on their financial situations. For the result to be generalized, it is recommended to make an extended study of more companies and interviews, or complete this study with a quantitative method. It may also be an advantage to interview small companies with their accounting firms to get both perspectives on the subject since not all small business owners have knowledge about the subject. This research paper is written in Swedish.

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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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Bücher zum Thema "KPI INDICATORS"

Urban and Regional Development Institute (Indonesia). Key performance indicators (KPI), benefit monitoring and evaluation (BME), dan implementation completion report (ICR) program padat karya perkotaan (PKP) dan prakarsa khusus bagi penganggur perempuan (SIWU): Laporan pendahuluan. Jakarta: Urban and Regional Development Institute, 2000.

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

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Kavvadias, Panagēs A. Deiktes periphereiakēs anaptyxēs tēs Helladas Katartisē, axiologēsē, kai epharmoges. Athēna: Kentro Programmatismou kai Oikonomikōn Ereunōn, 1992.

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Parmenter, David. Key performance indicators for government and non profit agencies: Implementing winning KPIs. Hoboken, N.J: Wiley, 2012.

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Kanellopoulos, K. N. 3. programma ensōmatōsēs mē eunoēmenon homadōn Peramatos: Ereuna gia ton prosdiorismo horiōn phtōcheias kai aposterēsēs sto Perama : dianomē eisodēmatos, deiktes kai diastaseis phtōcheias sto Perama = 3rd programme for the integration of the least privileged groups of Perama. [Greece]: [KEPE], 1993.

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Hyphantopoulos, Giannēs N. Ho programmatismos tou tomea hygeias stēn Hellada: Oikonomikes kai koinōnikes diastaseis. Athēna: Ethniko Kentro Koinōnikōn Ereunōn, 1985.

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Key Performance Indicators: Developing, Implementing, and Using Winning KPIs. Wiley, 2015.

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Parmenter, David. Key Performance Indicators: Developing, Implementing, and Using Winning KPIs. Wiley & Sons, Incorporated, John, 2019.

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Parmenter, David. Key Performance Indicators: Developing, Implementing, and Using Winning KPIs. Wiley & Sons, Incorporated, John, 2019.

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Key Performance Indicators: Developing, Implementing, and Using Winning KPIs. Wiley & Sons, Incorporated, John, 2015.

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Buchteile zum Thema "KPI INDICATORS"

Issar, Gilad, und Liat Ramati Navon. „Key Performances Indicators (KPI)“. In Management for Professionals, 73–76. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20699-8_17.

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Amzil, Kenza, Esma Yahia, Nathalie Klement und Lionel Roucoules. „Causality Learning Approach for Supervision in the Context of Industry 4.0“. In Lecture Notes in Mechanical Engineering, 316–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_50.

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AbstractIn order to have a full control on their processes, companies need to ensure real time monitoring and supervision using Key Performance Indicators (KPI). KPIs serve as a powerful tool to inform about the process flow status and objectives’ achievement. Although, experts are consulted to analyze, interpret, and explain KPIs’ values in order to extensively identify all influencing factors; this does not seem completely guaranteed if they only rely on their experience. In this paper, the authors propose a generic causality learning approach for monitoring and supervision. A causality analysis of KPIs’ values is hence presented, in addition to a prioritization of their influencing factors in order to provide a decision support. A KPI prediction is also suggested so that actions can be anticipated.

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Krasniqi, Fidel, Liljana Gavrilovska und Arianit Maraj. „The Analysis of Key Performance Indicators (KPI) in 4G/LTE Networks“. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 285–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23976-3_25.

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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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Domański, Paweł D. „Business Key Performance Indicators—KPIs“. In Studies in Systems, Decision and Control, 119–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23593-2_8.

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Umikawa, Noriko, und Yuta Uchiyama. „Sustainable Municipal Management: Implementing Logic Model Concepts and Key Performance Indicators (KPIs)“. In Encyclopedia of the UN Sustainable Development Goals, 706–16. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-95717-3_121.

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Umikawa, Noriko, und Yuta Uchiyama. „Sustainable Municipal Management: Implementing Logic Model Concepts and Key Performance Indicators (KPIs)“. In Encyclopedia of the UN Sustainable Development Goals, 1–11. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-71061-7_121-1.

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Nurika, Okta, und Low Tan Jung. „Enhanced European Internet of Things (IoT) Platform Assessment Key Performance Indicators (KPIs)“. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 137–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78459-1_10.

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Smart, Andrew, und James Creelman. „Understanding the Relationship between the Three Types of Indicators: KPIs, KRIs and KCIs“. In Risk-Based Performance Management, 120–36. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137367303_5.

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Arslan, V., R. Kurt, E. Comrie, O. Turan und L. DeWolff. „Identification and implementation of Key Performance Indicators (KPIs) for achieving safer and resilient passengers shipping operations“. In Risk, Reliability and Safety: Innovating Theory and Practice, 1855–59. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315374987-281.

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Konferenzberichte zum Thema "KPI INDICATORS"

Kibira, Deogratias, Michael Brundage, Shaw Feng und K. C. Morris. „Procedure for Selecting Key Performance Indicators for Sustainable Manufacturing“. In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2877.

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The need for an open, inclusive, and neutral procedure in selecting key performance indicators (KPIs) for sustainable manufacturing has been increasing. The reason is that manufacturers seek to determine what to measure in order to improve environmental sustainability of their products and manufacturing processes. A difficulty arises in understanding and selecting specific indicators from a large number of stand-alone indicator sets available. This paper presents a procedure for individual manufacturers to select KPIs for measuring, monitoring and improving environmental aspects of manufacturing processes. The procedure is the basis for a guideline, being proposed for standardization within ASTM International. That guide can be used for (1) identifying candidate KPIs from existing sources, (2) defining new candidate KPIs, (3) selecting appropriate KPIs based on KPI criteria, and (4) composing the selected KPIs with assigned weights into a set. The paper explains how the developed procedure complements existing indicator sets and sustainability-measurement approaches at the manufacturing process level.

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Ivanković, Ana Mandić, Marija Kušter Marić, Dominik Skokandić, Ela Njirić und Josipa Šiljeg. „Finding the link between visual inspection and key performance indicators for road bridges“. In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0737.

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Based on the rating from visual inspection and proposed weighting through component, system and network level, assessment procedure resulting with set of six most important Key Performance Indicators (KPI) for road bridges is presented. Those are: bridge condition assessment, structural safety, traffic safety, durability indicator, availability and bridge importance in the network. KPIs organised in the radar shaped diagram serve for priority repair ranking decisions. The procedure is elaborated at the sample of five actual bridges: two reinforced concrete arch bridges, one with solid and other with hollowed cross-sections; one frame type bridge with V shaped piers; one precast slab overpass; one solid slab continuous bridge with Y type piers. Bridges are built between 1958 and 2001 and are located either at the state or at the local roads in Croatia. Spans are varying from9.5 to 72 m and overall lengths from 22 to 120 m.

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Catlow, Jamie, L. Sharp und M. Rutter. „P16 Acceptability of key performance indicators (KPI) in the national endoscopy database (NED), a delphi process“. In Abstracts of the BSG Campus, 21–29 January 2021. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2021. http://dx.doi.org/10.1136/gutjnl-2020-bsgcampus.91.

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Tufano, Alessandro, Riccardo Accorsi, Andrea Gallo und Riccardo Manzini. „Simulation in food catering industry. A dashboard of performance indicators“. In the 4th International Food Operations and Processing Simulation Workshop. CAL-TEK srl, 2018. http://dx.doi.org/10.46354/i3m.2018.foodops.003.

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"Contract catering industry is concerned with the production of ready-to-eat meals for schools, hospitals and private companies. The structure of this market is highly competitive, and customers are rarely willing to pay a high price for this catering service. A single production sites may be demanded up to 10.000 meals per day and these operations can hardly be managed via rule of thumbs without any quantitative decision support tool. This situation is common at several stages of a food supply chain and the methodologies presented in this paper are addressed to any food batch production system with similar complexity and trade-offs. This paper proposes an original KPI dashboard, designed to control costs, time and quality efficiency and helping managers to identify criticalities. Special emphasis is given on food safety control which is the management’s main concern and must be carefully monitored in each stage of the production. To calculate the value of KPIs a Montecarlo simulation approach is used to deal with production complexity and uncertainty. A case study showcases the potential of simulation in this complex industrial field. The case study illustrates an application of the methodology on an Italian company suffering local recipe contamination. The company aims at defining the best standard for production, identifying cycles being sustainable from an economic and environmental point of view."

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Morales Fusco, Pau, Sergi Saurí Marchán, Anna Maria Lekka und Iosif Karousos. „Assessing customs performance in the Mediterranean ports. KPI selection and Best practices identification as part of the MEDNET project“. In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4221.

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The seamless flow of goods, people and investments across the Mediterranean necessitates a well-functioning port and transport system. More efficient port operations enhance seamless logistics and promote safety, efficiency, interoperability and interconnectivity of transport networks in the Mediterranean area.To promote the exchange of knowledge and expertise relevant to port and customs procedures and simplification of clearance for vessels and cargoes in the Mediterranean, the MEDNET project was launched. As part of the project a common evaluation framework for the performance of ports in the form of a set of Key Performance Indicators (KPIs) together with a list of the best practices in terms of operations and customs procedures was developed.In total, 50 ports were analyzed and given a KPI regarding traffic, financial, operational and human resources, sustainability and customs procedures. The values were latter crossed with the current good practices on operation in terms of customs procedures. And a small correlation between KPIs performance and implantation degree of good practices in customs procedures was found. This presentation exposes the methodology to assess the ports’ performance and the best practices identification.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4221

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Catlow, J., L. Sharp und M. Rutter. „ACCEPTABILITY OF KEY PERFORMANCE INDICATORS (KPI) IN THE NATIONAL ENDOSCOPY DATABASE (NED) AUTOMATED PERFORMANCE REPORTS TO IMPROVE QUALITY OUTCOMES TRIAL (APRIQOT), A DELPHI PROCESS“. In ESGE Days. © Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0040-1704620.

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Palakodeti, S. Rao, und Gregory Doelger. „Change Your Maintenance Philosophy When You Convert a Base Loaded Unit to Cycling Operation“. In ASME 2010 Power Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/power2010-27138.

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With the fuel prices going up and many states mandating use of more renewable energy, a number of utilities are forced to convert some of their base loaded units to cycling operation. This change in operation requires a departure from the standard maintenance practices established for a given unit. This includes changes to Preventative Maintenance (PM), Predictive Maintenance (PdM), Planning and Scheduling and Key Performance Indicators (KPIs). When a unit is cycled — either minimum load to maximum load or two shift operation — it goes through stress cycles and its expected life decreases relative to the severity of cycling. When a decision is made to cycle a base loaded unit, the impact of the cycling has to be analyzed and the PM and PdM procedures need to be modified in order to maintain the expected life of the components. Cycling affects different components to different degrees and appropriate inspection and maintenance schedules need to be developed. The Key Performance Indicators (KPIs) have to be modified to monitor the effectiveness of the inspections and maintenance performed on the equipment. For example, Maintenance Basis Violation (MBV) is an important KPI for a cycling unit. Similarly, more attention has to be paid to the Planning and Scheduling activities as there are many uncertainties in the availability of the unit for preventative maintenance. The paradigm of performing PMs on a time basis should be changed to a throughput or hours of operation basis. This paper reviews the impact and severity of different cycling modes on a unit, vulnerability of common components adapting to the new mode, and discusses — in general terms — the required changes which need to be made in the inspection and maintenance practices. Also the paper reviews various KPIs that can be put in place for monitoring the impact of these procedures.

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Crivellari, Anna, Alessandro Tugnoli, Costanza Martina, Sarah Bonvicini und Valerio Cozzani. „Inherently Safer Choices in Early Design of Offshore Oil and Gas Installations: A Multi-Target KPI Approach“. In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77700.

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As offshore oil & gas activities are currently evolving towards more productive yet complex situations, the availability of efficient safety metrics has become essential in the early stages of offshore oil & gas projects to underline potential major accidents hazards and clearly communicate safety criticalities. Inherent safety has demonstrated to be a widespread concept in offshore risk management strategies, but there are few preliminary studies in the existing literature about systemic indexing to orient the conceptual and basic design stages of the project lifecycle. In the present work, a methodology for the selection of inherently safer solutions was developed as a support tool for decision-making in early design activities of offshore oil & gas installations. The expected inherent safety performance of alternative design options is assessed by means of a comprehensive set of key performance indicators (KPIs) based on the simulation of consequences of offshore accident scenarios and credit factors of the possible loss of containment events from offshore equipment. The proposed KPIs aim to capture the hazard level of single units and to address selectively multiple targets of the potential threats than personnel and process equipment on the installation, such as marine organisms on the sea environment. Moreover, overall aggregated KPIs were introduced as a sound synthetic measure of the inherent safety performance of the offshore system. The method was applied to the assessment of alternative designs of an offshore production facility, particularly characterized by environmental and safety concerns. The results from the case study evidenced the capability of the proposed method in ranking the potential and credible critical units of each alternative configuration and identifying the relative magnitude of targets contributions to the global safety profile of the installation.

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Jimenez, Luis Roberto, Marta Solera, Matías Toril und Pablo Oliver. „Evaluación de la calidad de experiencia de YouTube Live en redes inalámbricas“. In XIII Jornadas de Ingenieria Telematica - JITEL2017. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/jitel2017.2017.6611.

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YouTube Live is one of the most popular services on the Internet, enabling an easy streaming of a live video with acceptable video quality. Thus, understanding user´s perception of this service is of the utmost importance for network operators. As in other videostreaming services, YouTube Live traffic is sometimes affected by delays due to unfavourable network conditions, which translate into unacceptable initial reproduction times or image freezes as a result of client´s buffer underrun. Detecting these events is key to ensure an adequate Quality of experience (QoE). Unfortunately, data encryption makes it very difficult for operators to monitor QoE from packet-level data collected in network interfaces. In this paper, an analytical model to estimate the QoE for encrypted YouTube Live service from packet-level data collected in the interfaces of a wireless network is presented. The inputs to the model are Transport Control Protocol (TCP)/Internet Protocol (IP) metrics, from which three Service Key Performance Indicators (S-KPIs) are estimated, namely initial video play start time, video interruption duration and video interruption. The model is developed with an experimental platform, consisting of a user terminal agent, a WiFi wireless network, a network-level emulator and a probe software. Model assessment is carried out by comparing S-KPI estimates with measurements from the terminal agent under different network conditions introduced by the network emulator.

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Pan, Wang, und 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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Berichte der Organisationen zum Thema "KPI INDICATORS"

Sanz, E., P. Alonso, B. Haidar, H. Ghaemi und 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 und T. Mizrahi. Key Performance Indicator (KPI) Stamping for the Network Service Header (NSH). RFC Editor, Mai 2019. http://dx.doi.org/10.17487/rfc8592.

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Schubert, Maike, und Daniel Zenhäusern. Performance Assessment of Example PVT-Systems. IEA SHC Task 60, Dezember 2020. http://dx.doi.org/10.18777/ieashc-task60-2020-0009.

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The performance of 26 PVT-Systems was analysed and compared in IEA-SHC Task 60. The systems are located in countries with different climatic conditions. The applications range from direct domestic hot water production and heating of public swimming pools to heat pump systems with PVT as the main heat source of the heat pump. The Key Performance Indicators (KPIs) determined for the different PVT solutions give the possibility to compare the systems despite their diversity. The goal was to show the potential of PVT collectors in different fields of application. The results show that the integration of PVT collectors in different kinds of well-dimensioned systems leads to competitive solutions, both from an energy and a financial perspective. Additionally the answers to a survey about control strategies for PVT systems, showing some main problems and possible solutions, are summarised.

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