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Academic literature on the topic 'Asset quality'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 May 2022

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Journal articles on the topic "Asset quality"

Sporta, Fred. "The Distressing Effect of Non-Performing Assets to Asset Quality for Commercial Banks in Kenya." INTERNATIONAL JOURNAL OF INNOVATION AND ECONOMIC DEVELOPMENT 3, no. 6 (2018): 71–83. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.36.2006.

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Non-performing Assets is a ratio necessary when identifying financial distress effect on asset quality of financial institutions in Kenya specifically commercial banks in Kenya. Financial distress and asset quality have often been discussed separately in details, but not as satisfactorily this is because of its role of asset quality on distress risk levels of commercial banks. The current research established the distressing effect of non-performing assets on asset quality of Kenyan commercial banks. Nonloan ratio was represented by two variables: Non-performing assets to total loans ratio and Loan loss provision ratio. Thirty-eight Kenyan commercial banks were used for analysis for an eleven year period (2005-2015). Financial statements of commercial banks from CBK was used to extract secondary data for analysis. Results indicated that there a relationship between financial performance and capital adequacy regarding financial distress risk level. A correlation and panel regression analyses were carried out mainly to determine whether there was a relationship of non-performing assets and asset quality of commercial banks in Kenya, the outcome of the study indicated a positive relationship between Non-performing assets and asset quality. This study specifically gives a mindful and sense of reference to the depositor, all banking institutions including the commercial banks and policy-makers to high standards of asset quality by ensuring proper additional guidelines and controls are put in place to guard against non-performing loans.

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Sonneveld, Ben G. J. S., Sally Bunning, Riccardo Biancalani, D. Ndiaye, and Freddy Nachtergaele. "Do Farmers’ Asset Values Correlate with Land Quality?" Journal of Sustainable Development 9, no. 1 (January 26, 2016): 268. http://dx.doi.org/10.5539/jsd.v9n1p268.

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<p>This paper investigates if farmers’ asset values have a predictive power to asses land quality. A rich sustainable livelihood literature describes small farmers’ biophysical and socio-economic environment through asset values, which closely adheres to the required information for an integrated quality appraisal of the natural resource base. For our analysis we use an in-depth survey held among 50 famers’ households in three rural areas of Senegal. Farmers gave scores for their livelihood assets (human, physical, natural, financial and social) and judgments on the state and trend of the quality of their natural resource base (crop land, rangeland, forest and water resources). As our observational data are dominated by unobserved heterogeneity, we refrain from causal statistical analysis and seek associative patterns between asset values and state and trend of natural resource quality using data visualization techniques and descriptive statistics. We compare categorical data on state and trend of land qualities with asset value classes in a frequency distributions evaluation (Chi-square) and with continuous asset value scores in an analysis of variance (ANOVA). For state of forest we found consistent but counterintuitive differences for various asset values with higher asset values for ‘degraded’ classes and lower values for ‘good’ quality of the forests. There is some evidence that trend of forest quality can be derived from asset value scores which were in agreement with our premise of lower scores for low quality and higher scores for better quality. Yet, overall we have to conclude that asset values do not correlate straightforward and unequivocally with state and trend of natural resource quality. </p>

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Fukui, Masao. "Asset Quality Cycles." Journal of Monetary Economics 95 (May 2018): 97–108. http://dx.doi.org/10.1016/j.jmoneco.2018.02.006.

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Ogboru, Mbatabbey Joy. "Asset Quality and Deposit Money Banks Performance in Nigeria." American International Journal of Business and Management Studies 1, no. 1 (January 6, 2019): 38–47. http://dx.doi.org/10.46545/aijbms.v1i1.37.

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This study investigate the relationship between asset quality and deposit money banks performance in Nigeria over a period of 30 years ranging from 1986 to 2016, utilizing time series data collected from the Nigeria deposit insurance corporation annual reports and accounts, CBN financial stability report and CBN statistically bulletin for various years. The variables of study includes return on asset (ROA) proxy for Deposit Money Bank performance in Nigeria, ratio of non-performing loan to total loan (NPL), ratio of liquid assets to total assets (LAT) and ratio of liquid assets to short term liabilities (LAS) as measures of asset quality. The study utilizes both the descriptive and econometric techniques to analyze the time series data. The result shows that there is a short run relationship between asset quality and deposit money bank performance in Nigeria. Also, the co-integration result reveals the presence of a long run relationship between asset quality and deposit money bank performance in Nigeria while the granger causality result shows evidence of causality between asset quality and deposit money bank performance in Nigeria. Based on this we conclude by saying that maintaining sound assets quality position is critical to the long term performance, survival and sustainability of DMBs in Nigeria.

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Dewi, Aprilia Sintya, Hadi Paramu, and Tatok Endhiarto. "GOAL PROGRAMMING SEBAGAI DECISION SUPPORT SYSTEM TINGKAT KESEHATAN BANK PT BANK BUKOPIN, TBK." BISMA 11, no. 2 (May 8, 2017): 209. http://dx.doi.org/10.19184/bisma.v11i2.6315.

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Abstract: This research aimed to analyze the changes in several objective priorities as the banking targets in the decision making process. The research applied goal programming model and based on the experiments on the financial data or ratios. The objective functions of the research were the ratios used to asses bank health level, namely: capital, Capital Adequacy Ratio (CAR), asset quality, Return on Assets (ROA), Return on Equity (ROE), Net Interest Margin (NIM), Operational Cost compared to Operating Income (BOPO) and Loan to Deposit Ratio (LDR). Results show that only capital and LDR targets achieved predominantly on a variety of priority setting. While the targets of CAR, asset quality, ROE, and NIM are not achieved predominantly on a variety of priority setting. Keywords: Capital, CAR, Asset Quality, ROA,ROE, NIM, BOPO, LDR, Financial Health Level.

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Kizi, Uktamova Nozima Narzulla. "The Problems of Increasing the Income and Quality of Assets of Commercial Banks." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 1090–94. http://dx.doi.org/10.22214/ijraset.2021.39481.

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Abstract: This article examines the composition of the assets of commercial banks, its profitability, the quality of bank assets and the factors affecting it. In addition, the existing problems were studied through the analysis of the profitability and quality of banks' assets, and conclusions and recommendations were developed to address them. Keywords: asset, income, efficiency, profitability, asset quality, loan portfolio, profit, investment

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Mpundu, M., M. A. Petersen, J. Mukuddem-Petersen, and F. Gideon. "Basel III and Asset Securitization." Discrete Dynamics in Nature and Society 2013 (2013): 1–19. http://dx.doi.org/10.1155/2013/439305.

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Asset securitization via special purpose entities involves the process of transforming assets into securities that are issued to investors. These investors hold the rights to payments supported by the cash flows from an asset pool held by the said entity. In this paper, we discuss the mechanism by which low- and high-quality entities securitize low- and high-quality assets, respectively, into collateralized debt obligations. During the 2007–2009 financial crisis, asset securitization was seriously inhibited. In response to this, for instance, new Basel III capital and liquidity regulations were introduced. Here, we find that we can explicitly determine the transaction costs related to low-quality asset securitization. Also, in the case of dynamic and static multipliers, the effects of unexpected negative shocks such as rating downgrades on asset price and input, debt obligation price and output, and profit will be quantified. In this case, we note that Basel III has been designed to provide countercyclical capital buffers to negate procyclicality. Moreover, we will develop an illustrative example of low-quality asset securitization for subprime mortgages. Furthermore, numerical examples to illustrate the key results will be provided. In addition, connections between Basel III and asset securitization will be highlighted.

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Ma, Chihmin, Guanwei Jang, and Miaofen Lai. "The Influence of Transaction Cost and Service Quality on Partner Loyalty – the mediating effect of relationship quality." MATEC Web of Conferences 325 (2020): 06002. http://dx.doi.org/10.1051/matecconf/202032506002.

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This article puts forward the conceptual framework of supply chain partnership loyalty based on the relationship between transaction cost, service quality and relationship quality. The empirical study mainly focused on equipment purchasers, and a total of 321 valid samples were collected. The results show that 4 of the 9 hypotheses are not supported, namely Hypothesis H1c: the impact of information sharing on relationship quality, H2a: asset specificity, H2b: loyalty uncertainty and H5 loyalty relationship quality. Regarding the analysis of the mediating effect of relationship quality, this study found that relationship quality has a significant mediating effect in the relationship between asset specificity and loyalty or between service quality and loyalty. That is, by investing in exclusive assets and improving service quality, customers will not show better loyalty, but asset specificity and high-quality services can affect loyalty through relationship quality.

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Venkiteshwaran, Vinod. "Do asset sales affect firm credit risk? – Evidence from credit rating assignments." Managerial Finance 40, no. 9 (September 2, 2014): 903–27. http://dx.doi.org/10.1108/mf-09-2012-0196.

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Purpose – Asset sales can have opposing effects on firm credit quality. On the one hand asset sales could signal increased credit risk resulting from distress or on the other hand they could improve internal liquidity and hence credit quality. Therefore the impact potential asset sales can have on credit quality is an empirical question and one that has previously not been examined in the literature. The paper aims to discuss these issues. Design/methodology/approach – Using credit ratings as a measure of firm credit quality, in ordered probit regressions, this study finds evidence consistent with the internal liquidity view of the asset sales-credit risk relationship. Findings – Results from ordered probit regressions of credit ratings show that the likelihood of higher credit ratings is increasing in industry-level turnover of real assets Originality/value – Credit-rating agencies often cite the impact of asset sales on firm credit quality as a motivation for their rating assignments. Distress-driven asset sales could reduce firm credit quality whereas other asset sales could result in increased internal firm liquidity and hence improve firm credit quality. This bi-directional expectation leaves the question of how asset sales affect credit quality to be answered empirically and has not been previously tested in the literature.

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Kishan, Ruby P., and Timothy P. Opiela. "Monetary asset quality and substitutability." Journal of Economics and Business 45, no. 5 (December 1993): 393–408. http://dx.doi.org/10.1016/0148-6195(93)90037-o.

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Dissertations / Theses on the topic "Asset quality"

Olson, Kristin Erin. "Asset management--service quality : the institutional investor perspective." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/69315.

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Obaleye, Olabanjo Johnson. "Relationship Between Liquidity, Asset Quality, and Profitability of Mortgage Banks in Nigeria." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/6254.

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Liquidity (LQ) and asset quality (AQ) management present significant challenges to mortgage bankers in their efforts to improve profitability (PR). When liquidity increases, there is no positive impact on mortgage asset growth; however, this trend indicates that asset management and liquidity positions are not well managed. To run a viable mortgage business, mortgage bankers need to have a good grasp of the association between LQ, AQ, and PR. Anchored in the profit theory paradigm, the purpose of this multiple regression study was to examine the relationship between LQ, AQ, and PR of mortgage banks (MBs) in Nigeria. Archival financial data of 16 randomly sampled MBs covering a period of 8 years from 2009 to 2016 were used. Data were analyzed using multiple panel regression incorporating two PR models, net interest margin (NIM) and return on asset (ROA). The regression result indicated that LQ and AQ constructs significantly predicted PR as measured by NIM because F (8, 80) = 2.061, p = 0.014, p < 0.05, and effect size given by R2 = 0.458, signifying 46% variation in NIM. The model of PR as measured by ROA also indicated that LQ and AQ constructs were significant because F (8, 80) = 4.043, p = 0.000, p < 0.05, with effect size measured by R2 = 0.624, indicating 62% variation in ROA. The findings emphasized the need for optimization of LQ and AQ to maximize PR. The implications for positive social change include the potential to provide the business leaders in the mortgage industry with knowledge about optimization of LQ and AQ as drivers of PR. In addition, when business owners achieve increase profitability, they may provide more employment opportunities, better working conditions, better compensation plans, and more access to mortgage finance options.

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Segal, Andrew Thomas. "Absolutely positively satisfied : what asset management can learn form the quality revolution." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/70207.

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Jonsson, Berth. "Transportation asset management : Quality related accounting, measurements and use in road management processes." Doctoral thesis, KTH, Bygg- och fastighetsekonomi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12151.

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Today there are shortcomings in monitoring, control, analyses, learning and reporting of the results of activities and operations in the road management processes. There are also shortcomings in transparency and verifiability, in knowledge of road management’s costs and life cycle costs, of the road capital’s standard and condition and in measures of quality deficiency costs, productivity and maintenance backlog. The starting points for different applications of the model are taken from experience of the subprocesses in practical road management, independent analyses of activities, operations and results, presence at directors’ meetings (in an independent co-opted capacity) and literature reviews. It is my belief that the problems can largely be solved with transparent, verifiable information that is relevant to the sub-processes. A model has been designed with the transport policy’s requirements at the focus for all sub-processes’ applications without repeating errors as regards internal control, use of standard values and index adjustments. For each component, the model provides quality-related information about its current condition and condition value, acquisition value, replacement value and standard target value with the effects of measures carried out. Changes in standard and condition of new construction, improvements, maintenance and consumption can be shown in the model. Information can also be found on a component’s consumption cost, index adjustment and successively accumulated life cycle costs. Quality deficiency costs, inefficiencies, maintenance backlog, cost drivers, productivity and, for example, expected funding needs can be calculated by computer. The model has been tested and this document also describes the model’s implementation project at the SNRA. Most of the road network’s components have been registered for a long time in the SNRA’s road and traffic data bank as compulsory or optional phenomena. The remaining components will to a large extent be entered automatically. Some will require inventorying. In theory, the quality-related accounting will thus have access to information about every individual component in the entire state-administered road network. For at least 75% (80% in the implementation project) of the total value o fthe road capital, current condition information will exist for each individual component in the road network. The information, that constitutes “best available knowledge” of the components’ current functional condition, is administered in dedicated administration systems and comes from different kinds of inventories. The values of the remaining components can be appraised systematically on the basis of individually assessed technical length of life and, for example, planned maintenance. The model shows that decisions to carry out measures can also be based on “best available knowledge” of socioeconomic effectiveness, consideration of the environment, climate and energy in a life cycle perspective, customers’ (society’s and road-users’) expectations and political demands for fairness. These requirements are systematically worked into the limit values for “as constructed” and “worst acceptable condition”. The condition interval between the limit values shows the component’s functional consumption margin provided that the transport policy’s requirements are taken into consideration. The information makes it possible to consider and stipulate requirements regarding the development of components’ accumulated life cycle costs in procurements. Contractors will have a natural focus on increased productivity and cost increases in projects should be smaller. The model makes the long term planning process more efficient and shortens lead times. Prices, costs, accumulated life cycle costs and various types of deviations can be analysed continuously to achieve systematic learning from good examples and failures. In the project follow-up, deviations are automatically divided within the system into causes dependent on time, quantity, and unit price. Control and monitoring with analyses and learning can be made more effective through automatic monitoring against control limits. The concept of quality-related accounting of road capital should be a part of the international discussion around models for Transportation Asset Management (TAM).
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Naim, Wadih. "On the Role of Data Quality and Availability in Power System Asset Management." Licentiate thesis, KTH, Elektroteknisk teori och konstruktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295696.

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In power system asset management, component data is crucial for decision making. This thesis mainly focuses on two aspects of asset data: data quality and data availability. The quality level of data has a great impact on the optimality of asset management decisions. The goal is to quantify the impact of data errors from a maintenance optimization perspective using random population studies. In quantitative terms, the impact of data quality can be evaluated financially and technically. The financial impact is the total maintenance cost per year of a specific scenario in a population of components, whereas the technical impact is the loss of a component's useful technical lifetime due to sub-optimal replacement time. Using Monte-Carlo simulation techniques, those impacts are analyzed in a case study of a simplified random population of independent and non-repairable components. The results show that missing data has a larger impact on cost and replacement year estimation than that of under- or over-estimated data. Additionally, depending on problem parameters, after a certain threshold of missing data probability, the estimation of cost and replacement year becomes unreliable. Thus, effective decision making for a certain population of components requires ensuring a minimum level of data quality. Data availability is another challenge that faces power system asset managers. Data can be lacking due to several factors including censoring, restricted access, or absence of data acquisition. These factors are addressed in this thesis from a decision making point of view through case studies at the operation and maintenance levels. Data censoring is handled as a data quality problem using a Monte-Carlo simulation. While the problems of restricted access and absence of data acquisition are studied using event trees and multiphysics modelling. While the quantitative data quality problem can be abstract, and thus applicable to different types of physical assets, the data availability problem requires a case-by-case analysis to reach an effective decision making strategy.

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Bahadoorsingh, Sanjay. "Asset management and the role of power quality on electrical treeing in epoxy resin." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496227.

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Power network operators in developed countries are faced with the challenge of effectively managing network performance with an ageing asset population. A significant proportion of equipment is already operating well beyond design life, testifying to the success of the many insulation systems employed. Increased production of renewable and distributed energy has resulted in changes of load flows on the network, while demand-side management schemes cause devices results in reduced power quality from disturbances including harmonics. Consequently there is a gradual change in the working environment. Hence at the plant level, insulation systems will age differently influencing electrical ageing mechanisms such as partial discharges and electrical treeing.

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Muteba, Kande Joel. "Multi-Objective Heterogeneous Multi-Asset Collection Scheduling Optimization with High-Level Information Fusion." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42557.

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Surveillance of areas of interest through image acquisition is becoming increasingly essential for intelligence services. Several types of platforms equipped with sensors are used to collect good quality images of the areas to be monitored. The evolution of this field has different levels: some studies are only based on improving the quality of the images acquired through sensors, others on the efficiency of platforms such as satellites, aircraft and vessels which will navigate the areas of interest and yet others are based on the optimization of the trajectory of these platforms. Apart from these, intelligence organizations demonstrate an interest in carrying out such missions by sharing their resources. This thesis presents a framework whose main objective is to allow intelligence organizations to carry out their observation missions by pooling their platforms with other organizations having similar or geographically close targets. This framework will use Multi-Objective Optimization algorithms based on genetic algorithms to optimize such mission planning. Research on sensor fusion will be a key point to this thesis, researchers have proven that an image resulting from the fusion of two images from different sensors can provide more information compared to the original images. Given that the main goal for observation missions is to collect quality imagery, this work will also use High-Level Information Fusion to optimize mission planning based on image quality and fusion. The results of the experiments not only demonstrate the added value of this framework but also highlight its strengths (through performance metrics) as compared to other similar frameworks.

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Essiet, Ubon M. "Developing a framework to facilitate the assessment of asset management information quality in facilities management operations." Thesis, University of Huddersfield, 2016. http://eprints.hud.ac.uk/id/eprint/31443/.

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Information quality issues have taken an increased importance in academia and industry and have many causes attributed to it. Poor information quality presents significant costs to an organisation, financially and non-financially. However, the issue of information quality has not been explored in depth in the field of facilities management. Thus, within the context of facilities management, this has led to failures in asset management programs undertaken by facilities management organisations and present a significant challenge in the decision-making process by facility managers. Achieving improved asset information quality in facility management operations is thus of immense importance to stakeholders in facilities management. To this end, various methods and frameworks have been developed to assess and improve information quality, but these have very limited scope and not applicable in facilities management organisation undertaking asset management. To this end, this research aims to evaluate the quality of information and determine what factors impact information quality of asset management programs in the facilities management domain. The research adopts an exploratory mixed-method methodology, which allows data to be collected and analysed using qualitative and quantitative techniques to provide greater insight of the phenomenon in facility management operations. The qualitative approach uses thematic analysis to determine what factors affect the quality of information from the information, organisation, and people domain respectively. The results from this analysis show that factors affecting information quality of asset management programs is multidimensional. In addition, 71 information quality attributes has been identified from the qualitative analysis. In the quantitative phase, principal component analysis (PCA) with direct oblimin rotation, ANOVA, and measure of central tendency (MCT) techniques were adopted to identify the specific dimensions of information quality in asset management, the effect of the structure of the organisation on information quality, and the prevalence of information quality issue in asset management respectively. The results from the analysis identified 12 information quality dimensions which was grouped into seven (7) categories. Also a high prevalence of information quality issue experienced by facilities management professionals was observed with a mean value of 7.90 and median value of 8.00 and standard deviation of 1.467 which was normally distributed. Further analysis indicated that the hierarchical structure of the organisation had an effect on information quality which was statistically significant. Based on the result of the analysis, a framework, using a perceptual map premised on multi-dimensional scale (MDS) technique, has been developed that seeks to assess the quality of information of asset management programs in facilities management.

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Stein-Balock, Amanda. "Predicting the quality of center-based early care and education programs for preschool children a cumulative asset model /." [Ames, Iowa : Iowa State University], 2007.

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Cheung, Ting-yan. "Asset enhancement on commercial properties management in Hong Kong : a key of success for achieving best quality management and services /." View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B40697721.

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Books on the topic "Asset quality"

International Business Machines Corporation. International Technical Support Organization, ed. Strategic reuse with asset-based development. [Poughkeepsie, NY]: International Technical Support Organization, 2008.

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Cohen, Harry, and Steven Silkunas. The Relationship Between Transit Asset Condition and Service Quality. Washington, D.C.: Transportation Research Board, 2018. http://dx.doi.org/10.17226/25085.

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Nicholson, Sean. Biotech-pharmaceutical alliances as a signal of asset and firm quality. Cambridge, MA: National Bureau of Economic Research, 2002.

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Hampshire Business Liaison Group. Quality of Life Working Group. Quality of life as a business asset: Report of study group. [Winchester?]: The Liaison Group, 1992.

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J, Thomas Stephen, ed. Asset data integrity is serious business. New York: Industrial Press, Inc., 2010.

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(Firm), Resurgent India, ed. Mounting NPAs: Impact on Indian banking industry : dampening profitability, TEPID economic growth, deteriorating asset quality. New Delhi: The Associated Chambers of Commerce and Industry of India, 2014.

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IWA Leading Edge Conference on Strategic Asset Management. Strategic asset management of water supply and wastewater infrastructure: Invited papers from the IWA Leading Edge Conference on Strategic Asset Management (LESAM), Lisbon, October 2007. London: IWA Pub., 2009.

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Abiad, Abdul. The quality effect: Does financial liberalization improve the allocation of capital? [Washington D.C.]: International Monetary Fund, Research Dept., 2004.

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Mathew, Joseph. Engineering Asset Management and Infrastructure Sustainability: Proceedings of the 5th World Congress on Engineering Asset Management (WCEAM 2010). London: Springer London, 2012.

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Lei, Telli Van der. Asset Management: The State of the Art in Europe from a Life Cycle Perspective. Dordrecht: Springer Netherlands, 2012.

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Book chapters on the topic "Asset quality"

Rana, Anil. "Quality of Maintenance Activity." In Asset Analytics, 511–19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3643-4_40.

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Zaremba, Adam, and Jacob Shemer. "Country Selection Based on Quality." In Country Asset Allocation, 207–22. New York: Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/978-1-137-59191-3_13.

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Wee, Hui-Ming, and Yosef Daryanto. "Imperfect Quality Item Inventory Models Considering Carbon Emissions." In Asset Analytics, 137–59. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9698-4_8.

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Klassen, Nellie V. "Qualimetry in the Consumer Quality Assessment of Cars Class C." In Asset Analytics, 349–58. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3643-4_27.

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Zaremba, Adam, and Jacob Shemer. "Is Good Company a Good Investment? Quality Investing." In Country Asset Allocation, 105–20. New York: Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/978-1-137-59191-3_6.

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Yadav, Rita, Sarla Pareek, and Mandeep Mittal. "Cooperative/Non-cooperative Supply Chain Models for Imperfect Quality Items with Trade Credit Financing." In Asset Analytics, 1–17. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0872-7_1.

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Gao, Jing, Andy Koronios, Steve Kennett, and Halina Scott. "Data quality enhanced asset management metadata model." In Engineering Asset Lifecycle Management, 770–84. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-320-6_89.

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Choudhary, Sunita, C. Banerjee, Ajeet Singh Poonia, Arpita Banerjee, and S. K. Sharma. "Proposed Data Structure for Storage of Metrics Values: Misuse Case Oriented Quality Requirements (MCOQR) Framework Perspective." In Asset Analytics, 211–15. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8253-6_21.

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Kalema, Billy Mathias, and Viola Vivian Busobozi. "Big Data Analytics for Data Quality Improvement to Enhance Evidence-Based Health Care in Developing Countries." In Asset Analytics, 29–42. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8253-6_4.

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Bascom, Wilbert O. "Control Systems and Asset Quality Evaluation." In Bank Management and Supervision in Developing Financial Markets, 243–65. London: Palgrave Macmillan UK, 1997. http://dx.doi.org/10.1057/9780230372399_12.

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Conference papers on the topic "Asset quality"

King, T. M., and D. Crowley-Sweet. "Best Practice for Data Quality Enables Asset Management for Rail." In Asset Management Conference 2014. Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.1036.

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Guo, Xiaohong, and Xinyue Xiao. "Influencing Factors of Asset Evaluation Quality." In 2020 3rd International Conference on Humanities Education and Social Sciences (ICHESS 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.201214.628.

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Maletič, Damjan, Viktor Lovrenčič, Nenad Gubenjak, Yury Tsimberg, Nuno Marques de Almeida, Ana Lovrenčič, and Matjaž Maletič. "Linear Asset Management: a Case Study of Overhead Transmission Lines." In Values, Competencies and Changes in Organizations. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-442-2.40.

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Linear assets are defined as assets whose length plays a critical role in their maintenance Linear asset owners strive to optimize the value and performance of each asset throughout its lifecycle while meeting all of safety, reliability, quality, performance, and regulatory compliance requirements... A case study is used to present the implementation of linear asset management practices for overhead transmission lines (OHTL). More specifically, the purpose of this paper is to propose an Asset Health Index (AHI) for OHTL using a condition-based method and discuss some other monitoring methods (e.g., robot LineVue with non-destructive in-situ inspection technology for conductors and an integral online approach to ensure tower and conductor integrity - OTLM device and strain gauges). In addition, various issues, and challenges for managing linear assets are also discussed.

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Sarfi, R. J., M. K. Tao, J. B. Lyon, and J. J. Simmins. "Data quality as it relates to asset management." In 2012 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). IEEE, 2012. http://dx.doi.org/10.1109/tdc.2012.6281418.

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Dentten, R. "Establishing Quality Asset Information Utilising Object-Based Technologies." In Intelligent Rail Infrastructure. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0051.

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Wallsgrove, R. "The value, cost and quality of asset data." In 2005 IEE Water Event. IEE, 2005. http://dx.doi.org/10.1049/ic:20050424.

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Bengio, Julien Cohen, Kaori Ogino, and Barnaby Robson. "A holistic approach to asset quality and efficiency." In SIGGRAPH '18: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3214745.3214791.

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Yu, Han. "The Characteristics, Supervision Requirement and Control Path of Asset Quality of Financial Asset Management Companies." In 2020 2nd International Conference on Economic Management and Cultural Industry (ICEMCI2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.201128.052.

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John, Shibu. "Asset Inspection Management System as a Reliable Inspection / Monitoring Tool to Optimize the Asset Utilization & Serviceability and to Enhance Overall Efficiency of Service Provision." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2022. http://dx.doi.org/10.2118/200288-ms.

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Abstract Engineering Asset Management(EAM) is management of engineering assets and it provides guidelines on the effective usage of all the physical engineered assets within the organization. Similarly, Non-Destructive Testing [NDT] is used as a handy tool for integrity assessment of Assets in scheduled maintenance & inspection program. Though Asset Inspection in Oil & Gas Industry were using conventional NDT methods, now ASME, API and others came up with inspection procedures based on fracture mechanics, where each user to ascertain how their tool/regional operating condition deviate from the assumptions herein, then employ their engineering and technical judgment in deciding how and when to employ any part of these standard. Till recent past, there were no regular validation for these procedures being performed as presumed; benchmark for Severity of failure in North Sea offshore and that in MENA Onshore are set as same. Integration of Operations Management System [OMS] based in Asset Inspection with the EAM allows the Asset Owner/Custodian to consistently monitor each Asset, Acquire monitoring / measurement data in common platform using standardized operating procedures, Measure / Analyze Longevity of each Asset and enable the end user to validate their Service Quality Plan and inspection procedures, as per applicable operating limits and risks. The purpose of this paper to emphasize the importance of optimizing the Asset utilization and serviceability to enhance overall efficiency by integrating; (1)EAM software that manages Assets, (2)OMS controlling the process and (3)Asset Inspection Management System[AIMS]. Case study refer our AIMS, a tool to track all Equipment data [Images, OEM/CoC Document, Inspection Reports/Certificates, track analysis of major attributes] through a single channel - Master Asset [Inspection] Register. Uniquely numbered Assets in each category Drilling Tubulars, Hosting &Handling Equipment and/or Lifting Equipment Item is captured in respective Master Asset Inspection Register with all related Equipment data & Inspection records. Inspection records provides all its inspection related history since its commissioning and manufacturing OEM/CoC Documents. Our cloud based AIMS-App's compliance to API Q2, ISO9001:2015 and ISO17020:2012 ensures its certifying requirements to, (1)relevant Industry standard and bench mark (2)Competence of Inspection Personnel and (3)Compliance of Measuring Devices & Equipment. In last two years [2016-2018] by ensuring Acceptance Benchmark only, more than 70% reduction in premature failure [Crack in Thread Connection; where 50% of those are potential NPT cases] in drilling Tools achieved. Our App provide the user to analyze Inspection data. The trend analysis of tools helps in its planning and utilization plus the data can be directly input to modify Service Quality Plan to optimizing the asset utilization & serviceability. The above are some of the immediate befit to Oil Company and Drilling Contractor by AIMS. This paper also discusses one more dimension of it, Reliability in Service Quality. As this AIMS Tool is synchronized with our, (1)EAM software that manages company's all assets and resources, and (2)OMS controlling the process, the integration of all three increase the overall efficiency of the service and results in profitability of a business.

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Alhassan, Musa I., Aliyu M. Aliyu, Rakesh Mishra, and Naeem S. Mian. "Air Quality Management in Railway Coaches." In 2021 International Conference on Maintenance and Intelligent Asset Management (ICMIAM). IEEE, 2021. http://dx.doi.org/10.1109/icmiam54662.2021.9715208.

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Reports on the topic "Asset quality"

Piskorski, Tomasz, Amit Seru, and James Witkin. Asset Quality Misrepresentation by Financial Intermediaries: Evidence from RMBS Market. Cambridge, MA: National Bureau of Economic Research, February 2013. http://dx.doi.org/10.3386/w18843.

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Nicholson, Sean, Patricia Danzon, and Jeffrey McCullough. Biotech-Pharmaceutical Alliances as a Signal of Asset and Firm Quality. Cambridge, MA: National Bureau of Economic Research, June 2002. http://dx.doi.org/10.3386/w9007.

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Chen, Peter, Marjon Dean, Don Ojoko-Adams, Hassan Osman, Lilian Lopez, Nick Xie, and Nancy R. Mead. System Quality Requirements Engineering (SQUARE) Methodology: Case Study on Asset Management System. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada454482.

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Chen, Peter, Marjon Dean, Don Ojoko-Adams, Hassan Osman, and Lillian Lopez. Systems Quality Requirements Engineering (SQUARE) Methodology: Case Study on Asset Management System. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada431068.

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Brown, Willie, and Jonathan Alt. Investigating the USACE Operational Condition Assessment process current and future. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/39999.

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The US Army Corps of Engineers operates, maintains, and manages more than $232 billion worth of the Nation’s water resource infrastructure and relies on the Operational Condition Assessment (OCA) process to determine the condition of the assets and their components. The sheer number of components, all of equal OCA scheduling priority, creates challenges in ensuring that assessments are conducted in a timely manner and that data generated are of sufficient quality to inform resource allocation decisions. This research applied methods from systems design to determine the OCA system “as-is” state and create a stakeholder-informed vision of a “to-be” state that addresses current system challenges. To meet its objective of providing current assessments of asset condition, the OCA system must provide four high-level functions: provide access to asset data, conduct assessments, determine asset risk, and prioritize and schedule assessments. The development of capabilities to provide these functions will facilitate the achievement of the OCA system to-be vision: a consistent view of asset condition and risk across the enterprise.

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Finkelshtain, Israel, and Tigran Melkonyan. The economics of contracts in the US and Israel agricultures. United States Department of Agriculture, February 2008. http://dx.doi.org/10.32747/2008.7695590.bard.

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Research Objectives 1) Reviewing the rich economic literature on contracting and agricultural contracting; 2) Conducting a descriptive comparative study of actual contracting patterns in the U.S. and Israeli agricultural sectors; 3) Theoretical analysis of division of assets ownership, authority allocation and incentives in agricultural production contracts; 4) Theoretical analysis of strategic noncompetitive choice of agricultural production and marketing contracts, 5) Empirical studies of contracting in agricultural sectors of US and Israel, among them the broiler industry, the citrus industry and sugar beet sector. Background Recent decades have witnessed a world-wide increase in the use of agricultural contracts. In both the U.S. and Israel, contracts have become an integral part of production and marketing of many crops, fruits, vegetables and livestock commodities. The increased use of agricultural contracts raises a number of important economic policy questions regarding the optimal design of contracts and their determinants. Even though economists have made a substantial progress in understanding these issues, the theory of contracts and an empirical methodology to analyze contracts are still evolving. Moreover, there is an enormous need for empirical research of contractual relationships. Conclusions In both U.S. and Israel, contracts have become an integral part of production and marketing of many agricultural commodities. In the U.S. more than 40% of the value of agricultural production occurred under either marketing or production contracts. The use of agricultural contracts in Israel is also ubiquitous and reaches close to 60% of the value of agricultural production. In Israel we have found strategic considerations to play a dominant role in the choice of agricultural contracts and may lead to noncompetitive conduct and reduced welfare. In particular, the driving force, leading to consignment based contracts is the strategic effect. Moreover, an increase in the number of contractors will lead to changes in the terms of the contract, an increased competition and payment to farmers and economic surplus. We found that while large integrations lead to more efficient production, they also exploit local monopsonistic power. For the U.S, we have studied in more detail the choice of contract type and factors that affect contracts such as the level of informational asymmetry, the authority structure, and the available quality measurement technology. We have found that assets ownership and decision rights are complements of high-powered incentives. We have also found that the optimal allocation of decision rights, asset ownership and incentives is influenced by: variance of systemic and idiosyncratic shocks, importance (variance) of the parties’ private information, parameters of the production technology, the extent of competition in the upstream and downstream industries. Implications The primary implication of this project is that the use of agricultural production and marketing contracts is growing in both the US and Israeli agricultural sectors, while many important economic policy questions are still open and require further theoretical and empirical research. Moreover, actual contracts that are prevailing in various agricultural sectors seems to be less than optimal and, hence, additional efforts are required to transfer the huge academic know-how in this area to the practitioners. We also found evidence for exploitation of market powers by contactors in various agricultural sectors. This may call for government regulations in the anti-trust area. Another important implication of this project is that in addition to explicit contracts economic outcomes resulting from the interactions between growers and agricultural intermediaries depend on a number of other factors including allocation of decision and ownership rights and implicit contracting. We have developed models to study the interactions between explicit contracts, decision rights, ownership structure, and implicit contracts. These models have been applied to study contractual arrangements in California agriculture and the North American sugarbeet industry.

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McGregor-Lowndes, Myles, Marie Balczun, and Alexandra Williamson. Ancillary Funds 2000–2019: ACPNS Current Issues Information Sheet 2021-1. Queensland University of Technology, July 2021. http://dx.doi.org/10.5204/rep.eprints.211850.

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There are two types of ancillary funds that may qualify for DGR status – Private Ancillary Funds (PAFs) and Public Ancillary Funds (PubAFs). The intended purpose of an ancillary fund is to act as an intermediary between donors and organisations (not individuals) that can receive tax deductible donations. In total, as at 30 June 2019, there were 3,090 ancillary funds, with combined net assets of $10.33 billion. They received $1.39 billion in donations in the 2018–19 year and distributed $967 million in grants.

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Flandreau, Marc, Stefano Pietrosanti, and Carlotta Schuster. Why do Sovereign Borrowers Post Collateral? Evidence from the 19th Century. Institute for New Economic Thinking Working Paper Series, October 2021. http://dx.doi.org/10.36687/inetwp167.

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This paper explores the reasons why sovereign borrowers post collateral. Such behavior is paradoxical because conventional interpretations of collateral stress repossession of the assets pledged as the key to securing lenders against information asymmetries and moral hazard. However, repossession is generally difficult in the case of sovereign debt and in some cases impossible. Nevertheless, such sovereign “hypothecations” have a long history and are again becoming very popular today in developing countries. To explain sovereign collateralization, we emphasize an informational channel. Posting collateral produces information on opaque borrowers by displaying borrowers’ behavior and resources. We support this interpretation by examining the hypothecation “mania” of 1849-1875, when sovereigns borrowing in the London Stock Exchange pledged all kinds of intangible revenues. Yet, at that time, sovereign immunity fully protected both sovereigns and their assets and possessions. Still, we show that hypothecations significantly decreased the cost of sovereign debt. To explain how, we stress the pledges’ role in documenting sovereigns’ wealth and the management of revenue streams. Based on an exhaustive library of bond prospectuses collected from primary sources, matched with a panel of sovereign bond yields and an innovative measure of sovereign fiscal transparency, we show that collateral minutely described in debt covenants served to document and monitor sovereign resources and development prospects. Encasing this information in contracts written by lawyers served to certify the quality of the resulting data disclosure process, explaining investors’ readiness to pay a premium.

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Armas, Elvira, Gisela O'Brien, Magaly Lavadenz, and Eric Strauss. Rigorous and Meaningful Science for English Learners: Urban Ecology and Transdisciplinary Instruction. CEEL, 2020. http://dx.doi.org/10.15365/ceel.article.2020.1.

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This article describes efforts undertaken by two centers at Loyola Marymount University—the Center for Equity for English Learners (CEEL) and the Center for Urban Resilience (CURes)—in collaboration with five southern California school districts to develop and implement the Urban Ecology for English Learners Project. This project aligns with the 2018 NASEM report call to action to (1) create contexts for systems- and classroom-level supports that recognizes assets that English Learners contribute to the classroom and, and (2) increase rigorous science instruction for English Learners through the provision of targeted program models, curriculum, and instruction. The article presents project highlights, professional learning approaches, elements of the interdisciplinary, standards-based Urban Ecology curricular modules, and project evaluation results about ELs’ outcomes and teachers’ knowledge and skills in delivering high-quality STEM education for ELs. The authors list various implications for teacher professional development on interdisciplinary instruction including university partnerships.

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Kaboré, Gisele, and Idrissa Kabore. Analyse secondaire des données de l'analyse situationnelle des services de santé de la reproduction. Population Council, 2009. http://dx.doi.org/10.31899/pgy20.1000.

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En début 2002, l’UNFPA a soutenu un projet intitulé Renforcement des services sanitaires et sociaux pour faire face aux besoins de santé sexuelle et reproductive des adolescentes. Le projet avait pour objectif d’améliorer la connaissance des adolescentes mariées en ce qui concerne la législation et leurs propres droits; les éduquer à prendre soin de leur propre santé et de celle de leurs enfants; et augmenter leur accessibilité aux services de santé reproductive, particulièrement dans les régions les plus pauvres du Burkina Faso. Le projet a affirmé que les normes de fonctionnement ne sont pas remplies en termes d’infrastructures, d’équipement, de matériel et de ressources humaines. Les services disponibles ne sont pas bien connus par les populations, ce qui peut limiter la fréquentation. Il apparaît aussi que les services offerts aux adolescents ne sont pas assez développés car peu de prestataires ont des compétences nécessaires. Quelques recommandations ont été formulées en réponses aux problèmes et aux insuffisances constatées, sur la capacité d’offre et la qualité des services.

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