Relevant bibliographies by topics / Indicators of financial performance

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  3. Books
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Academic literature on the topic 'Indicators of financial performance'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Indicators of financial performance"

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Hodzic, Nedzad, and Ninoslav Gregovic. "Business financial performance indicators." Ekonomski izazovi 4, no. 7 (2015): 72–85. http://dx.doi.org/10.5937/ekoizavov1507072h.

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Turisová, Renáta, Michal Tkáč, and Miloš Pachta. "Monitoring of process performance by means of financial indicators." Problems and Perspectives in Management 16, no. 3 (September 25, 2018): 477–87. http://dx.doi.org/10.21511/ppm.16(3).2018.38.

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The paper deals with problematic nature of measuring of process performance. It includes a designed procedure of process performance monitoring, evaluation of logistic processes quality, and also measuring of the impact of marketing activities on the profitability of process output, i.e. a product, by means of appropriate indicator.There are several performance indicators that companies use to monitor the performance of their processes and business strategies with respect to their objectives. To monitor these indicators, enterprises rely on dashboards that present one or more indicators along with contextual information to help decision makers identify deviations and their root causes. Associated benefits related to the process performance measurement system can be seen, for example, in better decision-making, flexible human resource management and process management structures. By using rolled steel sheets in a large metallurgical plant as an example, there will be shown how the performance of the rolling process can be improved by monitoring the tangible financial indicator. Subsequently, the experience was from case management companies presented to further incorporate a practical view of implementation and related issues. Finally, the reasons why the organization prefers the observed indicator during implementation of the process performance of measurement system is explored in order to understand the causes and consequences.
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Kryukov, Dmitry, and Raimonds Strauss. "Information security governance as key performance indicator for financial institutions." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 161–67. http://dx.doi.org/10.2478/v10143-009-0014-x.

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Information security governance as key performance indicator for financial institutions Due to their nature financial institutions and their performance are in constant focus of attention from different stakeholder groups. These groups according to their functions and interests are implementing different sets of key performance indicators for financial institution performance assessment. In the proposed paper authors present a hypothesis of information security governance being a financial institution key performance indicator. Authors provide high level overview of existing situation in key performance indicator domain for financial institutions. The overview of stakeholder groups interested in financial institution performance management is provided. In the same way as corporate governance is treated as financial and operational performance reflecting and influencing factor, information security governance as a component of corporate governance, according to authors' opinion, should be treated as key performance indicator for financial institutions. In the paper the most indicative financial performance indicators as well as their calculation methods are defined for financial institutions. The paper contains overview of information security assessment models and researches in this field. Authors have chosen information security maturity model to use in testing hypothesis. The paper contains description of calculation methodology for financial performance indicators and information security maturity indicators. The hypothesis has been proved performing analysis of correlation between calculated financial performance indicators and information security governance model indicators for chosen Latvian financial institutions.
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Yilmaz, Ilker. "Social Performance vs. Financial Performance." International Journal of Finance & Banking Studies (2147-4486) 2, no. 2 (April 21, 2013): 53–65. http://dx.doi.org/10.20525/ijfbs.v2i2.146.

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In recent decades, it is gaining more and more dominance in both academic and business life that the company exists for and has responsibilities toward a wider group of stakeholders and it must have some objectives other than profitability. To achieve sustainable development and growth, the companies must assume more duties, which is called the term “corporate social responsibility (CSR).” In the literature, it is questioned whether CSR activities benefit the company or not; whether there is any relationship exists between CSR activities and the company’s financial performance and the direction of the relationship. We aimedto explore that whether there is any effect corporate social performance (CSP) on financial performance and position and vice versa. We performed content analysis through annual reports and derived a social score composed of the items included in disclosure guidelines and some criteria used in CSR ratings. We also used several financial position and financial performance indicators. In order to explore the relationship between CSP and financial indicators, we run panel data regressions. We found significant results for some of the indicators, where some of the indicators gave insignificant results. The reporting of CSR activities is in very low levels. The conscious toward CSR and sustainability must be promoted and the companies must assume more active roles. The reporting of those activities is also important.
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Hackett, E. Raymond, and Sarah D. Carrigan. "Performance Indicators." education policy analysis archives 6 (September 6, 1998): 17. http://dx.doi.org/10.14507/epaa.v6n17.1998.

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Measures of overall institutional performance were explored from a decision support perspective with twenty similar Carnegie Classification Baccalaureate II institutions. The study examined the usefulness of performance indicators in campus decision making following both a hypothesis testing and case study approach. Two conclusions were reached: first, that the performance measures most commonly cited in the literature as measures of institutional financial viability are of limited use for institution specific policy development; and second, that performance indicators are most effectively used within an institution specific, whole system framework.
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Milichovský, František. "Financial Key Performance Indicators in Engineering Companies." Periodica Polytechnica Social and Management Sciences 23, no. 1 (2015): 60–67. http://dx.doi.org/10.3311/ppso.7810.

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Chapman, Ross L., Peter Charles Murray, and Robert Mellor. "Strategic quality management and financial performance indicators." International Journal of Quality & Reliability Management 14, no. 4 (June 1997): 432–48. http://dx.doi.org/10.1108/02656719710170675.

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Kountur, Ronny, and Lady Aprilia. "A Factor Analysis of Corporate Financial Performance: Prospect for New Dimension." ACRN Journal of Finance and Risk Perspectives 9, no. 1 (2020): 113–19. http://dx.doi.org/10.35944/jofrp.2020.9.1.009.

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This study aims to find the dimensions of financial indicators where both ratio and non-ratio indicators are accommodated. It is expected that the new dimensions of financial indicators be found. Both Exploratory and Confirmatory Factor Analysis is used in analyzing the data. Data are taken from 120 companies listed in Indonesian Stock Exchange (IDX). Twenty financial indicators from the financial reports of each company are identified. While it has been a common practice to use ratio in indicating financial performance, it is not common to use an individual value from financial statements as financial indicators. This study shows that financial indicators can be grouped into four dimensions; they are Operational Performance, Asset-Income Performance, Owner Returns Performance and Leverage Performance. All of the non-ratio indicators that are expressed in the amount are grouped in the Asset-Income Performance dimension. New dimensions of financial performance indicators that do not commonly exist in this study, they are Asset-Income, and Leverage Performance. With the new dimension, non-financial performances such as customer satisfaction, corporate social responsibility, reputation, nepotism, and professionalism may be detected.
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Savickas, Vilius. "Issues in selecting profitability indicators for the evaluation of corporate financial performance." Buhalterinės apskaitos teorija ir praktika, no. 20 (January 24, 2020): 6. http://dx.doi.org/10.15388/batp.2019.14.

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The article analyses the selection of profitability indicators for the evaluation of corporate financial performance. Both theory and practice, address a variety of profitability indicators, therefore, it is essential to understand the possibilities of using the information they provide, as well as to be able to identify potential reasons of indicator value deviations, and to assess the conditions causing the analysis performed based on these indicators to provide incomplete or unreliable information. The aim of the study is to analyse the main profitability indicators, their potential disadvantages, and possible issues in the analysis and interpretation of these indicators. Methods of logical and comparative analysis of the scientific literature, synthesis and generalisation, statistical data analysis and interpretation were used in this article. The results of the analysis show that there is no universal profitability indicator, that would cover all areas of company performance, because profitability indicators’ reliability, as well as objectivity of comparison to other entities, are influenced by national accounting standards, different prime cost calculation methods, long-term assets depreciation methods, reserve assessment, and other methods.
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Kotane, Inta. "USE OF FINANCIAL AND NON-FINANCIAL INDICATORS IN EVALUATION OF COMPANY’S PERFORMANCE." CBU International Conference Proceedings 3 (September 19, 2015): 224–33. http://dx.doi.org/10.12955/cbup.v3.605.

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Dimensions for the measurement of the company’s performance include financial and non-financial indicators. Many authors have carried out researches on financial and non-financial indicators, though the problems of their practical application exist, since there is no single united approach for measurement and assessment of both financial and non-financial indicators. This research is based on the former theoretical and practical researches by the author on the application of the financial and non-financial indicators to measure the company’s performance.The aim of this research was to develop a model for the small companies’ performance evaluation, based on the opinions of the owners, managers, and top executives of the small companies in Latvia. The Internet survey was used as a research method, applying a simple random sampling. The results of the research indicated that there are 17 indicators, including 10 financial and 7 non-financial indicators, which could be used for the evaluation of the small companies’ performance and for modelling the company’s net turnover.
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Dissertations / Theses on the topic "Indicators of financial performance"

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

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KAHN, MARCIO. "ECONOMIC AND FINANCIAL PERFORMANCE INDICATORS OF PETROLEUM RESERVES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2002. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=2525@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Essa dissertação tem o objetivo de apresentar e aplicar uma metodologia de cálculo de indicadores de desempenho econômico e financeiro obtidos a partir das informações de reservas de empresas de exploração e produção de petróleo. Inicialmente é feita uma revisão bibliográfica de tópicos relevantes ao assunto. Em seguida, é apresentada a metodologia de cálculo dos indicadores de desempenho. Por fim, é desenvolvido um sistema de informações, Sistema de Avaliação Econômica e Financeira de Reservas (SAFER), capaz de auxiliar a Petrobras tanto na elaboração dos relatórios contábeis como na avaliação de desempenho econômico e financeiro das empresas do setor.
This thesis intends to present and apply a computation methodology of economic and financial performance indicators derived from the financial disclosures presented by the petroleum exploration and production companies concerning their reserves. A bibliography review on the main topics about the subjects is done. Then, the computation methodology of economic and financial performance indicators is presented. Last, an information system (Economic and Financial Reserves Evaluation System - SAFER) is proposed for helping Petrobras to prepare the accounting reports and to perform an economic and financial evaluation of the E&P companies.
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Phan, Lan. "Voluntary Disclosure of Non-Financial Key Performance Indicators during Earnings Releases." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2221.

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Almost two decades after the burst of the Dot-com bubble, investors are opinionated as to whether a new technology bubble has formed in the equities market. Similar to the late 1990's and early 2000's, many Internet firms today go through initial public offering without yet turning over a dollar of earnings, but boast certain revenue-associated performance metrics to investors promising of future success. However, investors are known to hold sentiments sensitive to earnings announcements (Seok, Cho & Ryu, 2019) and reward firms which meet or beat earnings with higher stock returns (Bartov, Givoly & Hayn, 2002). That raises a question on the content of earnings announcements: Besides earnings and cash flow, are there other factors that may influence investor decisions to trade some Internet stocks? My primary hypothesis is that the voluntary disclosure of specific non-financial key performance indicators (NFKPI) during earnings announcement by Internet firms influences the investors' investing/trading decisions. My motivation for this research is to understand better whether there is a strategic element in the voluntary disclosure of NFKPI in Internet companies and how it may impact investors' decisions. The results could be useful to firms in their evaluations of whether to release NFKPI or similar information and to equity research analysts as well as investors in measuring their expectations and valuations of the firms' stocks. The intention of the study is not to generalize the findings to the full market, as the number of companies with the practice of voluntary disclosure of NFKPI is comparatively few compared to those without the practice. Instead, this study examines the effects of NFKPI on the stock returns of those companies which choose to disclose it. I use event study methodology to test the statistical significance of disclosure of NFKPIs during earnings announcements. By controlling for earnings surprise and other meaningful financial ratios, I also examine how the signaling effect of NFKPI could be distinguished from the signaling effects of important information concurrently released during earnings announcements. I focus on two types of NFKPI within the Internet industry: Gross Bookings for online booking agency services and Daily Active Users for social media. As earnings reports and quarterly filings often do not necessarily come together on the same date, I hand-collected data to estimate the surprise effect of NFKPI per earnings announcement, by using available broker forecasts of the respective NFKPI as a proxy for the investor's NFKPI expectation. The results show that while revenue surprise remains consistently the most influential variable to investors, NFKPI Surprise has a positive, statistically significant relationship with the firm's abnormal returns. Additionally, despite being insignificant when expected earnings is beat or in line with consensus, NFKPI Surprise is found statistically significant with a positive relationship to abnormal returns when expected earnings is missed. In line with existing research on management's motivation to prevent negative earnings surprises (Matsumoto, 2002), these findings imply that if firms could employ the voluntary disclosure of NFKPI to manipulate investors' impression and to cushion their stock prices against potential negative market reactions when earnings is missed.
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Milly, Kwagala. "Management and performance indicators of micro-finance institutions in Uganda." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/1641.

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The purpose of this study is to examine how the management of micro-finance institutions in Uganda has affected the performance indicators of these institutions, and whether or not the management of these institutions is responsible for their failure. The need to carry out this study arose as micro-finance institutions in Uganda failed to attain their planned performance indicators, to such a degree that most of them closed down. Although at their inception there was considerable entrepreneurial activity supported by a highly favourable government policy environment, their closure soon after establishment raised concern as to what caused them to fail. This study was encouraged by the observation that most of these institutions failed to realise their performance indicators as planned, but the underlying cause was not clear. Thus, the study focuses on establishing stakeholder perceptions of the management of the micro-finance institutions, and the relationship between their management (planning, implementation of planned programmes, and control) and their performance indicators, following the rationale of the functional and contingency paradigms of the concept of management. The study examines the way management dealt with these institutions‟ internal and external environments to influence their ability to realise their planned performance. The study is conducted using positivistic research methodology. This involved a collection of quantitative data from a sample of 454 respondents, including 64 managers, 177 employees, and 213 clients. Structured questionnaires were used to collect the data, and purposive and convenience sampling were applied to select the respondents. The respondents were selected from 56 randomly selected micro-finance institutions operating in Central Uganda and representing 75 percent of the country‟s operational institutions by December 2009. The data were analysed using the narrative, chi-square test, the ANOVA, factor analysis, and correlation and regression methods of analysis aided by the SPSS programme. The findings show that 79.2 percent of stakeholders (managers, employees, and clients) perceived that the management of their institutions was not conducted well in terms of planning, plan implementation, and control. Eighty-one (81) percent of both managers and employees and 83.4 percent of clients held the perception that the institutions failed xvi to achieve their performance indicators as planned. Furthermore, 81.7 percent of both managers and employees described their institutions‟ internal environment as largely defined by unsatisfactory supervision, and 66.9 percent of them revealed that their institutions‟ external environment was defined by family relations. These relations adversely affected the ownership, decision-making, employee recruitment, and deployment in the institutions. The findings also show that there were significant positive but weak relationships between management (planning, implementation, control, and dealing with the internal environment and the impact of the external environment) and the performance indicators of the institutions. The management of the institutions realised only 24.8 percent of their predicted performance indicators. Of the 13 null hypotheses that were formulated for this study, seven were rejected and the alternative hypotheses were accepted, while six were accepted. All the dimensions of the management of the micro-finance institutions in Uganda need to be developed if the performance of the institutions is to be improved and sustained to desired levels. It is suggested that large performance improvements will be realised by ameliorating all the dimensions of the institutions' management, while placing more emphasis on improving the following dimensions: the organisation of the institutions; the managing of their internal environment and the impact of their external environment; the conduct of their internal concurrent control; and the planning of their performance indicators and marketing, involving all the stakeholders, in particular the managers, employees, clients, Government, and the Uganda Micro-finance Forum, where necessary. Further research is recommended into other factors affecting the performance indicators of the institutions, since none of the management functions had explained them properly.
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Mbugua, Lawrence Mwangi. "A methodology for evaluating the business performance of UK construction companies." Thesis, University of Wolverhampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341866.

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Rocha, Paloma de Sousa. "Fiscal and economic performance of the municipality cearà second selected indicators." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=9949.

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nÃo hÃ
ItÂs the aim of this work to shed light on the mayors administration in Ceara concentrating on what they do e.g for social areas and/or building environments but also it analyzes the financial autonomy of the city and the town hall accounts concerning the period from 2006 to 2010. Four signs are sketched in order to combine statics exercises trough panel data to make sure the following: tax increasing contributes to improve the financial autonomy of the cities especially afterwards but also to reduce their dependence to the Federal Union and the States; the search for the tax increasing badly affects the future investments mainly in social areas (education and health), on the other hand it becomes the futures investments more realizable.
O trabalho avalia a gestÃo dos prefeitos cearenses a partir de seus investimentos em Ãreas sociais e de infraestrutura bem como no processo de autonomia financeira municipal considerando os balanÃos das prefeituras entre 2006 e 2010. Quatro indicadores sÃo elaborados e exercÃcios de estatÃstica descritiva combinados a estimaÃÃes em painel permitem constatar que: i) o superÃvit fiscal contribui com o aumento da autonomia financeira municipal nos perÃodos subseqÃentes e ainda com a reduÃÃo da dependÃncia municipal em relaÃÃo à transferÃncia de recursos da UniÃo e dos estados; ii) a busca pelo superÃvit fiscal afeta negativamente os investimentos futuros em Ãreas sociais como educaÃÃo e saÃde mas, por outro lado; iii) o superÃvit fiscal viabiliza os investimentos futuros em infraestrutura das prefeituras.
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Ersson, Sofi. "Indicators in Action : Development, Use and Consequences." Doctoral thesis, Uppsala : Företagsekonomiska institutionen, Uppsala universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8336.

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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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Svensson, Sofie, and Kristine Mezaraupa. "Nyckeltal inom ideella föreningar – En fallstudie av Friskis&Svettis." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-8860.

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Bakgrund: Ideella föreningar har inte som mål att maximera sin vinst, därmed går varje intjänad krona tillbaka till verksamheten och dess medlemmar. Trots det kan de ideella föreningarna inte gå med förlust och de måste generera intäkter för att förbättra verksamheten och för att säkerställa sin framtida ställning. Nyckeltal används som hjälpmedel för att få en överskådlig bild av en organisations hälsa och utveckling. Nyckeltalen fokuserar på de aspekter som är mest kritiska för en organisations nuvarande och framtida framgång. Dessa syftar till att underrätta gällande vilka handlingar som behöver genomföras för att öka prestationen inom en verksamhet.Syfte: Studien syftar till att utöka förståelsen för nyckeltal inom ideella föreningar. Vi har valt att studera fallet Friskis&Svettis.Design/metod: I studien används ett abduktivt synsätt, vilket innebär att en induktiv och deduktiv ansats har kombinerats. Undersökningen baseras på en kvalitativ metod, där vi har intervjuat informanter från sex olika Friskis&Svettis föreningar. Empirin analyseras mot tidigare forskning inom det studerade området för att skapa bättre förståelse för resultatet.Resultat: Studiens resultat visar att Friskis&Svettis mission är att bedriva och erbjuda lustfylld och lättillgänglig träning för alla. Det kan urskiljas att missionen är densamma både på central som lokal nivå. Utifrån studien framkom det att de nyckeltal som fastställs centralt är inpasseringsstatistik och medlemsstatistik. Inpasseringsstatistik hjälper till att anpassa utbudet och därmed uppnå målet med att få fler i rörelse. Medlemsstatisk visar vidare hurvida man lyckas med målet och kan användas som ett verktyg för att utvärdera och följa upp verksamheten. De nyckeltal som används lokalt är inpasseringsstatistik, medlemsstatistik, kortförsäljning, likviditet, intäkt per medlem, medlemsnöjdhet samt soliditet. Dessa varierar i mängd och användning mellan de lokala enheterna.Nyckeltal används som ett verktyg för att mäta huruvida målen uppnås. Vidare får uppfattningen att finansiella nyckeltal inte fyller en lika viktig roll för Friskis&Svettis då det inom verksamheten inte finns ett avkastningsmål. Finansiella nyckeltal inom Friskis&Svettis används därför främst för att säkerställa överlevnad. Det framgår även tydligt att dessa nyckeltal möjliggör åstadkommandet av de icke finansiella målen eftersom en god ekonomi hjälper till att förbättra verksamheten och öka medlemmarnas nöjdhet.Originalitet/Värde: Forskning som behandlar nyckeltal inom ideella föreningar är idag begränsad. Studiens resultat adderar mer kunskap inom ämnet som i framtiden kan användas för att utforska området ytterligare.
Background: The goal for Non-profit organizations is not to maximize the profit, therefore every earned Krone goes back to the organization and their members. In spite of that the non-profit organizations cannot run at a loss and they have to generate revenues to be able to improve the organization and secure their future position. A key performance indicator is used as a tool to get a perspicuous picture of the health and development of the organization. The key performance indicators focus on the aspects that are most critical to an organization's current and future success. The purpose with these is to inform which actions that needs to be implemented to enhance the performance within an organization.Purpose: The aim of the study is to increase the understanding of key performance indicators in Non-profit organizations. We have chosen to study Friskis&Svettis, a Swedish Non-profit organization.Design/methodology/approach: This study uses an abductive approach, which means that we have combined an inductive and a deductive perspective. Research is based on a qualitative method where we have interviewed informants from six different Friskis&Svettis organizations. The empirical data is analyzed against the existing research in the field of study to increase the understanding of the findings.Findings: The results of the study indicate that the mission of Friskis&Svettis is to offer pleasurable and accessible training for everybody. The mission is the same both on central and local level. The study revealed that the KPIs, membership- and presence statistics, are the same and are set centrally. The presences statistics helps to adapt the supply and thereby achieve the goal to get more people in motion. Membership statistics shows whether you succeed with the goal (or not) and can be used as a tool to follow-up and evaluate the organization. The KPIs that are used locally are membership statistics, presence statistic, card sales, liquidity, revenue per member, member satisfaction and solidity. These KPIs vary in number and use in the local units.KPIs are used as a tool to measure how the goals are achieved. Furthermore, the notion is that the financial indicators do not fill an equally important role in Friskis&Svettis when the organization does not have return of investment targets. Financial indicators in Friskis&Svettis are therefore used mainly to ensure survival. It is also clear that these figures enable the realization of the non-financial targets because a good economy helps to improve operations and increase member satisfaction.IIIOriginality/value: The knowledge about key performance indicators in Non-profit organizations is today limited. The findings of the study add knowledge about the subject that can be used in the future for further research.
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Meyer, Natanya. "Risk management as a strategy for promoting sound financial management at Sedibeng District Municipality / Natanya Meyer." Thesis, North-West University, 2013. http://hdl.handle.net/10394/10618.

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Since the introduction of the Municipal Finance Management Act (MFMA) in 2003 and the Public Sector Risk Management Framework in 2010, Municipalities had to start focusing on proper risk management as part of their management activities. Within the government sector, risk management needs to be implemented in order to prevent financial losses and to improve service delivery. If shortcomings regarding risk management exist within a municipality, it could have a negative effect on sound financial management and the outcome of annual audits. This study was conducted to test the hypothesis, namely if shortcomings regarding risk management exist within a municipality. Should this be the case, it could possible affect sound financial management and the outcome of annual audits. This was to a large extent proven within this case study and it is likely that other municipalities will have similar problems. Information was obtained from two groups of officials of the Sedibeng District Municipality by means of one-on-one interviews and hand delivered questionnaires. Group 1 consisted of 14 officials not in management positions and group 2 of 11 officials in senior management positions. The questionnaire comprised five sections of questions that aimed at determining the extent of knowledge and attitude of the respondent towards monitoring, assessment, identification and response to risk management within their specific departments. Analysis of the results indicated clearly that the overall risk management knowledge differed substantially from group 1 to group 2. The knowledge, monitoring, assessment, identification and response to risk management activities were minimal or unclear to respondents not in management positions. Respondents in senior management positions were more aware of risk management responsibilities. However they admitted that it was not always done as required and in many cases only due to compliance. The results are strengthened by the statement released by the Auditor General in his 2011 audit report on Sedibeng District Municipality stating “the implementation of appropriate risk management activities to ensure risk assessment, were not conducted and the risk strategy to address the risks was not developed and monitored.” Various recommendations are proposed within this article that could improve the overall management and sustainability of risk management within municipalities.
M Development and Management (Public Management and Governance), North-West University, Vaal Triangle Campus, 2014
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Books on the topic "Indicators of financial performance"

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Great Britain. Department of Health and Social Security. Performance Indicator Group. Performance indicators with a financial component. [London]: [DHSS], 1987.

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Canada, Statistics. Financial performance indicators for Canadian business. Ottawa: Statistics Canada, 1993.

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Canada, Statistics. Financial performance indicators for Canadian business. Ottawa: Statistics Canada, 2000.

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Lothian, Niall. Measuring corporate performance: A guide to non-financial indicators. London: Chartered Institute of Management Accountants, 1987.

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Uygur, Ercan. Financial liberalization and economic performance in Turkey. Ankara: Central Bank of the Republic of Turkey, 1993.

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

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

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

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

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

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Book chapters on the topic "Indicators of financial performance"

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Raucci, Domenico, Lara Tarquinio, Daniela Rupo, and Salvatore Loprevite. "Non-financial Performance Indicators: The Power of Measures to Operationalize the Law." In Sustainability and Law, 275–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42630-9_15.

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Consoli, Sergio, Luca Tiozzo Pezzoli, and Elisa Tosetti. "Information Extraction From the GDELT Database to Analyse EU Sovereign Bond Markets." In Mining Data for Financial Applications, 55–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66981-2_5.

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AbstractIn this contribution we provide an overview of a currently on-going project related to the development of a methodology for building economic and financial indicators capturing investor’s emotions and topics popularity which are useful to analyse the sovereign bond markets of countries in the EU.These alternative indicators are obtained from the Global Data on Events, Location, and Tone (GDELT) database, which is a real-time, open-source, large-scale repository of global human society for open research which monitors worlds broadcast, print, and web news, creating a free open platform for computing on the entire world’s media. After providing an overview of the method under development, some preliminary findings related to the use case of Italy are also given. The use case reveals initial good performance of our methodology for the forecasting of the Italian sovereign bond market using the information extracted from GDELT and a deep Long Short-Term Memory Network opportunely trained and validated with a rolling window approach to best accounting for non-linearities in the data.
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Malakhova, Anna Andreevna, Olga Valeryevna Starova, Svetlana Anatolyevna Yarkova, Albina Sergeevna Danilova, Marina Yuryevna Zdanovich, Dmitry Ivanovitch Kravtsov, and Dmitry Valeryevitch Zyablikov. "Reward-to-Variability Ratio as a Key Performance Indicator in Financial Manager Efficiency Assessment." In Advances in Intelligent Systems and Computing, 598–613. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51971-1_49.

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

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

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

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

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

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"2 Financial Perspective." In Controlling-Kennzahlen - Key Performance Indicators, 14–131. Oldenbourg Wissenschaftsverlag, 2008. http://dx.doi.org/10.1524/9783486592474.14.

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"2. Financial Perspective." In Key Performance Indicators for Sustainable Management, 21–148. De Gruyter Oldenbourg, 2019. http://dx.doi.org/10.1515/9783110598094-003.

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Conference papers on the topic "Indicators of financial performance"

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Kamaruddin, Siti Sakira, Abdul Razak Hamdan, Azuraliza Abu Bakar, and Fauzias Mat Nor. "Automatic extraction of performance indicators from financial statements." In 2009 International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2009. http://dx.doi.org/10.1109/iceei.2009.5254714.

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Carraquico, Tânia. "QUALITY ASSURANCE IN UNIVERSITY-INDUSTRY COLLABORATIONS: FINANCIAL AND NON FINANCIAL PERFORMANCE INDICATORS." In 15th International Technology, Education and Development Conference. IATED, 2021. http://dx.doi.org/10.21125/inted.2021.2189.

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Li, Yanli. "Deficiencies and Countermeasures of Financial Indicators in Enterprise Performance Evaluation." In Proceedings of the 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icpel-18.2018.69.

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Obradović, Tijana, Veljko Dmitrović, and Marija Kuzmanović. "Financial Performance Indicators: The Impact of Company’s Lifetime and Industry Type." In Proceedings of the 5th IPMA SENET Project Management Conference (SENET 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/senet-19.2019.14.

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Chen, Gang, and Wendong Zhao. "Application Research of Non-financial Indicators in the Evaluation of Enterprise Performance." In 2020 International Conference on Modern Education Management, Innovation and Entrepreneurship and Social Science (MEMIESS 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210206.022.

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Tusan, Radoslav. "THE IMPACT OF THE ADOPTION OF INTERNATIONAL FINANCIAL REPORTING STANDARDS ON THE FINANCIAL SITUATION AND PERFORMANCE OF THE COMPANY." In Sixth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/limen.s.p.2020.37.

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This paper deals with the evaluation of the impact of the adoption of International Financial Reporting Standards (IFRS) on the financial situation and performance of the company. The Slovak Accounting Act allows accounting and reporting under IFRS for two types of entities - explicitly specified by law (e.g. banks, insurance companies, stock exchange); and those that meet specified size criteria. The analyzed company met the size criteria and IFRS has been applying since 2018. The transition from Slovak accounting procedures to IFRS has an impact on the classification of individual items of assets and liabilities, their structure, and the classification of related costs and revenues. The transition to IFRS thus has an impact on the company's financial position and performance. The paper set out two objectives of the research: 1) the transition to IFRS caused an insignificant change in the company's financial indicators; 2) the transition to IFRS caused a significant change in the company's financial indicators. The results of the analysis show changes in the structure of the company's assets and liabilities, the amount of income and expenses, and the less significant impact of the adoption of IFRS on financial indicators.
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Antunes, Marina, Pedro Mucharreira, Maria do Rosário Justino, and Joaquín Texeira. "THE RELEVANCE OF FINANCIAL AND NON-FINANCIAL INDICATORS TO ASSESS QUALITY AND PERFORMANCE OF HIGHER EDUCATION INSTITUTIONS (HEI)." In 13th International Technology, Education and Development Conference. IATED, 2019. http://dx.doi.org/10.21125/inted.2019.0723.

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Kornilova, Svetlana, and Natalia Sizykh. "Algorithm for Assessing and Managing key Financial Performance Indicators of a Sports Club." In 2019 Twelfth International Conference "Management of large-scale system development" (MLSD). IEEE, 2019. http://dx.doi.org/10.1109/mlsd.2019.8911030.

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Stjepanović, Slobodanka, and Melita Cita. "Financial performance indicators of small and medium-sized enterprises in the Republic of Croatia." In FINIZ 2017. Belgrade, Serbia: Singidunum University, 2017. http://dx.doi.org/10.15308/finiz-2017-52-57.

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Brito, Eduardo, Rafet Sifa, Christian Bauckhage, Rüdiger Loitz, Uwe Lohmeier, and Christin Pünt. "A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking." In DocEng '19: ACM Symposium on Document Engineering 2019. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3342558.3345420.

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Reports on the topic "Indicators of financial performance"

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Altamirano Montoya, Álvaro, Mariano Bosch, Carolina Cabrita Felix, Rodrigo Cerda, Manuel García-Huitrón, Laura Karina Gutiérrez, and Waldo Tapia Troncoso. 2020 Pension Indicators for Latin America and the Caribbean. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002967.

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The PLAC Network's Pension Indicators are a dataset containing information related to the labor markets and pension systems of the nineteen PLAC Network member countries: Argentina, Bahamas, Barbados, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, El Salvador, Guyana, Haiti, Honduras, Jamaica, Mexico, Panama, Paraguay, Peru, Trinidad and Tobago, and Uruguay. The indicators are divided into five main categories: environment, performance, sustainability, society's preparedness for aging and reform, and pension system design. Each one of these categories are divided into a few subcategories as well. These indicators were constructed with the objective of becoming an important tool for the improvement of the following aspects of pension systems: coverage, sufficiency of benefits, financial sustainability, equity and social solidarity, efficiency, and institutional capacity. An important characteristic of this dataset is the comparability of these indicators since it permits the identification of areas of cooperation and knowledge exchange among countries. The dataset is accompanied by a User's Manual, which can be found in this link https://publications.iadb.org/en/users-manual-idb-plac-network-pension-indicators
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Altamirano Montoya, Álvaro, Mariano Bosch, Carolina Cabrita Felix, Rodrigo Cerda, Manuel García-Huitrón, Laura Karina Gutiérrez, and Waldo Tapia Troncoso. 2019 Pension Indicators for Latin America and the Caribbean. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002966.

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The 2019 PLAC Network's Pension Indicators are a dataset containing information related to the labor markets and pension systems of the nineteen PLAC Network member countries: Argentina, Bahamas, Barbados, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, El Salvador, Guyana, Haiti, Honduras, Jamaica, Mexico, Panama, Paraguay, Peru, Trinidad and Tobago, and Uruguay. The indicators are divided into five main categories: environment, performance, sustainability, society's preparedness for aging and reform, and pension system design. Each one of these categories are divided into a few subcategories as well. These indicators were constructed with the objective of becoming an important tool for the improvement of the following aspects of pension systems: coverage, sufficiency of benefits, financial sustainability, equity and social solidarity, efficiency, and institutional capacity. An important characteristic of this dataset is the comparability of these indicators since it permits the identification of areas of cooperation and knowledge exchange among countries. The dataset is accompanied by a User's Manual, which can be found in this link: https://publications.iadb.org/en/users-manual-idb-plac-network-pension-indicators
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Schubert, Maike, and Daniel Zenhäusern. Performance Assessment of Example PVT-Systems. IEA SHC Task 60, December 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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DEFENSE BUSINESS BOARD WASHINGTON DC. Financial Indicators Task Group. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada525853.

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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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Estrella, Arturo, and Frederic Mishkin. Predicting U.S. Recessions: Financial Variables as Leading Indicators. Cambridge, MA: National Bureau of Economic Research, December 1995. http://dx.doi.org/10.3386/w5379.

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

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

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Report D1: The aim of this report is to provide precise definitions of useful KPI’s for PVT systems. Where possible, these definitions correspond to those used in the technology fields of solar thermal systems and photovoltaic systems. In particular, the KPI's for the thermal performance of PVT systems are to a considerable extent based on the definitions adopted in IEA SHC Task 44 (Hadorn 2015). The stipulation and use of standardized KPI’s and notations will be essential for the comparability of different research results.
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Zimmerman, Timothy A. Metrics and key performance indicators for robotic cybersecurity performance analysis. Gaithersburg, MD: National Institute of Standards and Technology, April 2017. http://dx.doi.org/10.6028/nist.ir.8177.

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

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