Journal articles: 'Evaluation of indicators'

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Min, Qu, Chen Yu, Xiong Xing-Fu, and Wu Jiang. "A framework to identify indicators for evaluating car sharing systems." Journal of Intelligent & Fuzzy Systems 39, no. 3 (October 7, 2020): 4703–21. http://dx.doi.org/10.3233/jifs-200646.

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A comprehensive evaluation indicator system is the basis of car sharing systems (CSS) evaluation. The purpose of this study is to introduce the principles and methods of indicator selection for CSS, and to identify indicators for evaluating car sharing systems due to the reason that the importance of indicators can never be overestimated in CSS evaluation. A framework to identify indicators for evaluating CSS is proposed with four steps. First of all, the structure for indicator selection is established with application of AHP method. Secondly, adequacy check and redundancy check are carried out to ensure the structure is adequate and redundant. Thirdly, underlying individual indicators are proposed according to questionnaires. Fourthly, to ensure the necessity, identification, and feasibility of indicators, we conduct N-I-F check. We carry out a case study of CSS evaluation indicators to validate the proposed framework from four dimensions: economic, environmental, systematic, and social. The proposed framework is quantitative and it is helpful in CSS evaluation to identify proper indicators and find out the best CSS option.

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Zhao, Rongying, and Xu Wang. "Research on impact evaluation of academic journals from multidimensional perspective." Library Hi Tech 38, no. 2 (July 24, 2019): 458–78. http://dx.doi.org/10.1108/lht-03-2019-0067.

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Purpose The purpose of this paper is to introduce altmetric indicators and combine with traditional citation indicators to comprehensively evaluate the impact of academic journals from the perspective of multidimensional and multi-indicator fusion. Design/methodology/approach The authors take international multidisciplinary journals as an example, combining 14 traditional citation indicators of academic journals and introducing 14 altmetric indicators to build a comprehensive evaluation model of the impact of academic journals (academic impact and societal impact). At the same time, the authors systematically construct a journal evaluation indicator system from three dimensions. Then, the indicators data of three dimensions are evaluated by normalized processing, correlation analysis, reliability and validity analysis, PCA and factor analysis. Findings Two-dimensional and three-dimensional analyses can exactly provide some useful information for academic journals’ location in the respective coordinate systems. There are strong positive correlations among the measured indicators in the three dimensions, and each indicator has a significant consistency between whole and internal. The correlation coefficient between FD1 and FD2 is 0.888 with a strong positive correlation. It shows that the traditional citation indicators provided by WoS and Scopus database are highly consistent, and they are comparable and alternative in evaluating the academic impact of journals. The correlation coefficients of FD1, FD2 with FD3 are 0.831 and 0.798. There are strong positive correlations among them, which indicate that the evaluation of journals’ societal impact based on altmetrics indicator can be considered as a potential supplement to academic impact evaluation based on citation and to reflect the multidimensional nature of journals impact in an immediate way. Originality/value Multidimensional and multi-indicator perspective evaluation can provide references for the selection of impact evaluation indicators and model optimization of academic journals, and also provide new ideas for improving the status of the impact evaluation of academic journals.

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Xing, Danxia, and Chun Lu. "Evaluation of the Development Level of Information and Communications Technology in Education Based on the Entire-Array-Polygon Indicator Method: Taking the Questionnaire Survey Data of 13 Cities in Province W as an Example." Best Evidence in Chinese Education 7, no. 2 (March 30, 2021): 987–97. http://dx.doi.org/10.15354/bece.21.ar013.

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The objective assessment of the development level of information and communications technology (ICT) in education can support the government in formulating and implement ICT policies. The article first introduced the Entire-Array-Polygon (EAP) indicator method and then designed an evaluation indicator system which containing five first indicators and 31 secondary indicators. Finally, using the questionnaire survey data of 13 cities in Province W as an example, the EAP indicator method was used to carry out on the evaluation of ICT development level. The study drew the following conclusions: EAP indicator method can objectively assess the development level of ICT; the overall development level of ICT in the 13 cities in Province W is average and above, and most of them are level II. When using the EAP indicator method to assess the development level of ICT, experts do not need to determine the indicator's weight. Also, this method presents the evaluation results more concisely and intuitively, so it can be promoted as an essential method of evaluating on the development level of ICT in education.

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Xu, Dan, Jilong Liu, Dong Liu, Qiang Fu, Mo Li, Muhammad Abrar Faiz, Sicheng Liu, Tianxiao Li, Song Cui, and Ge Yan. "Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system." Water Supply 21, no. 6 (March 25, 2021): 3251–66. http://dx.doi.org/10.2166/ws.2021.090.

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Abstract Resilience is an important indicator for measuring regional sustainable development capacity. The construction of a suitable evaluation indicator system is the premise of evaluating regional sustainable development. In this study, taking the Jiansanjiang Administration of Heilongjiang Province in China as an example, a preliminary selection library of the evaluation indicator system for the resilience of a regional agricultural soil–water resource composite system covering seven subsystems and 59 indicators was established. Selection criteria such as the Dale indicator criteria, subjective and objective combination weighting and principal component analysis were introduced to construct an optimization model for the resilience evaluation indicator system for the ASWRS. First, 14 indicators that were incomplete or incapable were removed. Then, the Dale indicator selection criteria were used to ensure that 14 indicators were selected. The binary fuzzy comparison method and criteria importance through interference correlation method were used to calculate the combination weight. Finally, an indicator system optimization model was established. The indicator system was optimized from 59 to 35 indicators, and the completeness of the indicator system reached 85.75%. The proposed method had obvious advantages in terms of indicator identification and elimination, and it may truly achieve the goal of indicator optimization.

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McKool, Marissa, Kimberley Freire, Kathleen C. Basile, Kathryn M. Jones, Joanne Klevens, Sarah DeGue, and Sharon G. Smith. "A Process for Identifying Indicators With Public Data: An Example From Sexual Violence Prevention." American Journal of Evaluation 41, no. 4 (June 12, 2020): 510–28. http://dx.doi.org/10.1177/1098214019891239.

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Despite advances in the sexual violence (SV) prevention field, practitioners still face challenges with identifying indicators to measure the impact of their prevention strategies. Public data, such as existing administrative and surveillance system data, may be a good option for organizations to examine trends in indicators for the purpose of program evaluation. In this article, we describe a framework and a process for identifying indicators with public data. Specifically, we present the SV Indicator Framework and a five-step indicator review process, which we used to identify indicators for a national SV prevention program. We present the findings of the indicator review and explain how the process could be used by evaluators and program planners within other developing topic areas. Tracking indicators with public data, in conjunction with other evaluation methods, may be a viable option for state-level program evaluations. We discuss limitations and implications for practice and research.

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Syrůček, Jan, Luděk Bartoň, Dalibor Řehák, Jindřich Kvapilík, and Jiří Burdych. "Evaluation of economic indicators for Czech dairy farms." Agricultural Economics (Zemědělská ekonomika) 65, No. 11 (November 20, 2019): 499–508. http://dx.doi.org/10.17221/136/2019-agricecon.

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Milk production is one of the most important areas of the Czech agrarian sector, as evidenced by its 50% share (at 2017 prices) in revenues from livestock production. As for any business, a certain level of profitability is a prerequisite for long-term and sustainable development of dairy farms. This study’s aim was to evaluate the economic efficiency of milk production from both Czech Fleckvieh (C) and Holstein (H) cows based on data collected each year from 48 to 70 Czech dairy farms in the period from 2012 to 2017. Total costs per feeding day and litre of milk, level of profitability, and income over feed costs were calculated. The influences of herd size and milk yield on profitability and break-even points were examined while sensitivity analysis and model calculations were utilised to predict profitability. The farms with higher average milk yields (>7 500 and >9 500 L per lactation for C and H, respectively) had higher costs per feeding day, lower costs per litre of milk, and improved profitability (p < 0.05). Average break-even points were estimated for milk price (0.31 and 0.32 EUR) and milk yield (7 257 and 9 209 L) in C and H herds, respectively.<br />

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Palyvoda, Olena, Oksana Karpenko, Valentyna Vlasova, Nataliia Bondar, and Olga Mishulina. "Evaluation of seaports’ investment attractiveness." Investment Management and Financial Innovations 17, no. 3 (September 18, 2020): 160–74. http://dx.doi.org/10.21511/imfi.17(3).2020.13.

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Ukraine’s European integration requires the involvement of seaports in the international TEN-T network, so it is extremely important to create favorable investment conditions to develop port infrastructure. This study aims to make a comprehensive assessment of the seaports’ investment attractiveness to use it for increasing the efficiency of attracting investment in the development of Ukrainian seaports, which are part of the European transport network. The study was conducted using the Saati method and the method of calculating the integrated indicator of seaports’ investment attractiveness. The integrated indicator includes assessing indicators of business activity in the region and consolidated indicators of financial and property status, logistical attractiveness, and prospects for port development. According to the results of calculations, the seaports of Ukraine were divided into three groups. The ports of Yuzhne, Odesa, Illichivsk, and Mykolaiv have a high level of investment attractiveness. The ratio of investment attractiveness ranges from 3 to 2.6. The ports of Izmail, Mariupol, Oktyabrsk, and Kherson have an average level (ratio from 2.2 to 1), and other ports have a low investment attractiveness (coefficient from 0.9 to 0.7).

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Zagursky, О. M. "System of evaluation of performance indicators of supply chains." Naukovij žurnal «Tehnìka ta energetika» 10, no. 3 (August 15, 2019): 103–9. http://dx.doi.org/10.31548/machenergy2019.03.103.

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An, Lei, and Pei Zhang. "The System of Evaluation Indicators for Urban System Planning." Advanced Materials Research 368-373 (October 2011): 3002–5. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.3002.

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Evaluation of urban system planning is to build its index system to evaluate the results of planning. First, from scale level, functional structure, spatial structure, network organizations, social development, and environment assessment, these 6 major -level evaluation systems separate into 9 secondary indicator issues and 33 tertiary evaluation indicators. After that, give each indicator a specific weight by AHP and linear algebra knowledge, then build the system of evaluation indicator for urban.

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Vink, Karina, Md Nasif Ahsan, Hisaya Sawano, and Miho Ohara. "Global Water-Related Risk Indicators: Meta-Analysis of Indicator Requirements." Journal of Disaster Research 12, no. 2 (March 16, 2017): 355–67. http://dx.doi.org/10.20965/jdr.2017.p0355.

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Despite a long developmental history of water-related disaster risk indicators, there is still no consensus or reliable system for selecting objective data, no methodological system for choosing and verifying the relevancy of water-related disaster risk indicators, and no linking results back to root causes or addressing possible impacts on policies or actors to instigate change.Global policy documents such as the Sendai Framework for Disaster Risk Reduction (DRR) 2015–2013 [1] emphasize the urgent need for indicators capable of measuring risk reduction. However, developing and determining risk indicators faces many issues. Most disaster risk indices published do not yet include a basic overview of what data was used and how it was collected, let alone provide a systematic explanation of why each indicator was included, and why others were not. This consequently complicates linking the findings to their potential policy impacts. It also complicates the providing of clear-cut recommendations for improving resilience, which is a common intent of disaster risk indices.This study, which focuses on water-related hazards, aims to provide disaster managers with a set of criteria for evaluating existing datasets used in disaster risk indices, index construction methods, and the links back to policy impacts. So far, there has been no comprehensive overview of indicator requirements or scoring systems. Previous studies concerning indicator evaluating metrics [2] have fewer metrics and have not yet addressed the different tiers of requirements, namely objective indicator data quality, methodological/epistemological aspects of index composition, and, most importantly, policy and actors of change (impact requirements). Further testing of these metrics in local studies can lead to the greatly needed scientific justification for indicator selection and can enhance index robustness.The results aid in developing an evaluation system to address issues of data availability and the comparability of commonly used indicator sources, such as the World Bank. Once indicators can be scientifically linked to impacts through policy devices, national governments or other actors can become more likely to claim ownership of the data management of indicators. Future studies should expand this evaluation system to other natural hazards and focus on investigating the links between indicators and DRR in order to further validate indicator selection robustly.

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Romo-Lozano, José L., Rosa M. Rodríguez, Roberto Rendón-Medel, and Álvaro Labella. "Application of a multigranular approach based on the 2-tuple fuzzy linguistic model for the evaluation of forestry policy indicators." Revista Chapingo Serie Ciencias Forestales y del Ambiente 27, no. 2 (2020): 257–75. http://dx.doi.org/10.5154/r.rchscfa.2020.06.043.

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Introduction: The need for quality indicators is well recognized by users and proponents of public policy evaluation. Indicators recurrently include qualitative attributes for which there are few studies assessing the level of compliance. Objective: To apply a multigranular approach, based on the 2-tuple fuzzy linguistic model, to evaluate 13 indicators of the National Forestry Program, established in the system of social policy indicators derived from the National Development Plan 2012-2018 of Mexico. Materials and methods: The method uses the 2-tuple fuzzy linguistic representation model and an extension called extended linguistic hierarchies, designed to solve problems with multigranular linguistic information. The indicators’ level of compliance was evaluated based on four criteria: clarity, relevance, monitoring, and adequacy. Results and discussion: The structure defined in evaluating social policy indicators corresponds appropriately to that used with the 2-tuple fuzzy linguistic model. The evaluation resulted in a sorted list in which the indicator “Rate of change of timber forest production” had the best rating with a “very high” level of compliance; 10 other indicators had the “high” level of compliance, and the remaining two indicators were rated with “moderate” compliance. Conclusions: The 2-tuple fuzzy linguistic model allowed the appropriate evaluation of the level of compliance with the desirable attributes of indicators

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Trachuk, A. V., and N. V. Linder. "INNOVATIVE ACTIVITY OF INDUSTRIAL ENTERPRISES: MEASUREMENT AND EFFECTIVENESS EVALUATION." Strategic decisions and risk management 10, no. 2 (July 30, 2019): 108–21. http://dx.doi.org/10.17747/2618-947x-2019-2-108-121.

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The paper considers the indicators and multi-scale assessment of innovative activity of industrial companies. The research methodology consistently includes the analysis of the factors of innovative activity; collection and analysis of information about the indicators for assessing the innovative activity of industrial enterprises taking into account the defined factors of innovative activity; compiling of the short and aggregated lists of indicators for assessing the innovation activity taking into account the determined factors; defining an aggregate indicator of the innovative activity of an industrial enterprise. To define the aggregate indicator of the innovative activity we analysed the published reports of 57 companies, which have been the leaders in the industrial sectors for the last 15 years. Moreover, we analysed 40 scholarly publications focused on the assessment of the innovative activities and interviewed 16 experts, which are heads of large industrial companies. In addition, we analysed key performance indicators (KPI) of innovative activity recommended by the American Productivity & Quality Center (APQC). As a result of the research, we have proposed a methodology of the multi-scale assessment of the innovative activity of industrial companies. We have selected 5 key performance indicators to calculate the integral indicator. Furthermore, we have developed an algorithm to calculate the integral indicator of innovative activity. In addition to the integral indicator, we recommend to use 3 indicative values, which influence the integral indicator: a) comprehensive indicator of the development of scientific research, research institutes, academic organisations, technology platforms, per cent; b) number of proposals to generate new technologies, technical and technological solutions from affiliated companies over the year; c) number of new competences acquired by a company from innovative activities.The production of this integral indicator of the innovative activity will allow to the industrial enterprises a more informative assessment of their innovative activities and innovation behaviour transformations.

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Azeem, Muhammad, and Khan Shahbaz. "Performance Indicators and Evaluation Framework." International Journal of Interdisciplinary Social Sciences: Annual Review 3, no. 1 (2008): 113–24. http://dx.doi.org/10.18848/1833-1882/cgp/v03i01/52486.

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Sobieraj, Iwona. "Evaluation: Between values and indicators." SOCIOLÓGIA A SPOLOČNOSŤ / SOCIOLOGY AND SOCIETY 2, no. 1 (June 1, 2017): 14–23. http://dx.doi.org/10.17846/ss.2017.2.1.14-23.

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Ligetvári, Éva, István Fekete, and Vivien Ahmed. "Risk Evaluation of Strategic Indicators." Theory, Methodology, Practice 11, no. 1 (2015): 25–35. http://dx.doi.org/10.18096/tmp.2015.01.03.

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Walker, Joe. "Evaluation guidelines for ecological indicators." Ecological Indicators 1, no. 1 (August 2001): 61–62. http://dx.doi.org/10.1016/s1470-160x(01)00005-x.

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Jasch, Christine. "Environmental performance evaluation and indicators." Journal of Cleaner Production 8, no. 1 (February 2000): 79–88. http://dx.doi.org/10.1016/s0959-6526(99)00235-8.

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Neustupova, Alina Serafimovna, and Anton Morgunov. "Enterprise competitiveness: indicators, evaluation criteria." Актуальные проблемы учета, анализа и аудита, no. 9 (2020): 87–93. http://dx.doi.org/10.52899/9785883036155_87.

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Syers, J. K., E. Pushparajah, and A. Hamblin. "Indicators and thresholds for the evaluation of sustainable land management." Canadian Journal of Soil Science 75, no. 4 (November 1, 1995): 423–28. http://dx.doi.org/10.4141/cjss95-062.

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Within the context of major land uses such as agriculture, the indicators of sustainability must be framed within the social and economic conditions of the society in question. Whereas an indicator is used to measure changes in key attributes, usually over time, a threshold provides a baseline against which sustainability can be assessed. A direct measure of sustainability using indicators is difficult, and indirect measures or surrogates may be easier to establish. There is some information on threshold values for indicators, particularly for indicators such as soil acidity and nutrient status, and for those relating to root physiology. Because some threshold values are soil specific, it seems likely that range of values will be required for a particular indicator. There have been few case studies involving indicators and thresholds for sustainable land management. Examples of soil and land suitability for the production of Hevea brasiliensis (rubber) in Malaysia and for the management of sloping lands for annual crops in the Philippines are discussed. Biophysical indicators and thresholds for sustainable rubber production appear to be reasonably well-understood, particularly those relating to climate and soil physical factors. For sloping lands in the Philippines, yield data and benefit: cost ratios give a clear picture of trends and sustainability. Key words: Sustainable land management, indicator

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Šaparauskas, Jonas, and Zenonas Turskis. "EVALUATION OF CONSTRUCTION SUSTAINABILITY BY MULTIPLE CRITERIA METHODS." Technological and Economic Development of Economy 12, no. 4 (December 31, 2006): 321–26. http://dx.doi.org/10.3846/13928619.2006.9637761.

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Sustainable construction is a relevant subject in contemporary world because it is one of approaches achieving sustainability in all the spheres of society development. The authors reveal difficulties which emerge in creating the indicator system for sustainability evaluation, searching for information concerning indicators and in making mathematical calculations. After thorough analysis of research papers, specific databases and other information sources an algorithm for indicator system creation was suggested. The set of construction sustainability indicators for a particular country was built, the values of indicators were defined and then several decision‐making methods were applied. According to a general index of construction sustainability, a conclusion was drawn about construction state in the context of sustainable development.

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Gao, Hongda, He Chen, Jun Feng, Xianjing Qin, Xuan Wang, Shenglin Liang, Jinmin Zhao, and Qiming Feng. "Balanced scorecard-based performance evaluation of Chinese county hospitals in underdeveloped areas." Journal of International Medical Research 46, no. 5 (March 22, 2018): 1947–62. http://dx.doi.org/10.1177/0300060518757606.

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Objective Since the Guangxi government implemented public county hospital reform in 2009, there have been no studies of county hospitals in this underdeveloped area of China. This study aimed to establish an evaluation indicator system for Guangxi county hospitals and to generate recommendations for hospital development and policymaking. Methods A performance evaluation indicator system was developed based on balanced scorecard theory. Opinions were elicited from 25 experts from administrative units, universities and hospitals and the Delphi method was used to modify the performance indicators. The indicator system and the Topsis method were used to evaluate the performance of five county hospitals randomly selected from the same batch of 2015 Guangxi reform pilots. Results There were 4 first-level indicators, 9 second-level indicators and 36 third-level indicators in the final performance evaluation indicator system that showed good consistency, validity and reliability. The performance rank of the hospitals was B > E > A > C > D. Conclusions The performance evaluation indicator system established using the balanced scorecard is practical and scientific. Analysis of the results based on this indicator system identified several factors affecting hospital performance, such as resource utilisation efficiency, medical service price, personnel structure and doctor–patient relationships.

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Zhao, Shu Ying, Chen Sheng Yang, and Sheng Wei Song. "Grey Incidence Cluster Analysis of Colliery Security Management Evaluating Indicator." Advanced Materials Research 753-755 (August 2013): 2963–66. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2963.

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It is necessary to exactly classify the evaluating indicator of colliery security management, and the classification is also the foundation and prerequisite of colliery security management and evaluation. In this paper, reasonable classification to colliery security management and evaluation is carried by the method of grey incidence cluster. Grey incidence cluster is one kind of grey cluster evaluation in grey system theory. On the basis of lots of investigation, analysis and summary, sample nine coal mines, 13 safety management evaluation，calculate their gray absolute degree, taken given threshold r=0.75，classify these indicators appropriately to simplify the evaluation and examination indicator. Evaluating indicator cluster method is simple and convenient and has the character of strong applicability.

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Tian, Gui Shen, Ji Cheng Liu, Jing Jing Zhou, Jun Li Liu, and Bing Li. "Efficiency Evaluation Model of Power Transmission & Transformation Project Investment Based on AHP-Fuzzy Method." Advanced Materials Research 732-733 (August 2013): 1303–7. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.1303.

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This article builds an efficiency evaluation model. Using AHP method, an evaluation indicator system is established, and the weights of the indicators are calculated. This paper applies Fuzzy Evaluation method to determine the membership function of qualitative and quantitative indicators, and then synthesizes the indicator weights and the evaluation matrix to get the fuzzy comprehensive evaluation result. Finally, a case of a certain power transmission & transformation project is studied, and the comprehensive evaluation result of its economic benefit is moderate.

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Kozmenko, Olha, and Victoria Roienko. "Evaluation and use of indicators of insurance companies’ investment activities." Investment Management and Financial Innovations 10, no. 3 (October 3, 2013): 98–105. http://dx.doi.org/10.21511/imfi.10(3).2013.01.

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Yang, Jun, Xiangyu Luo, Yixiong Xiao, Shaoqing Shen, Mo Su, Yuqi Bai, and Peng Gong. "Comparing the Use of Spatially Explicit Indicators and Conventional Indicators in the Evaluation of Healthy Cities: A Case Study in Shenzhen, China." International Journal of Environmental Research and Public Health 17, no. 20 (October 12, 2020): 7409. http://dx.doi.org/10.3390/ijerph17207409.

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Various indicator systems have been developed to monitor and assess healthy cities. However, few of them contain spatially explicit indicators. In this study, we assessed four health determinants in Shenzhen, China, using both indicators commonly included in healthy city indicator systems and spatially explicit indicators. The spatially explicit indicators were developed using detailed building information or social media data. Our results showed that the evaluation results of districts and sub-districts in Shenzhen based on spatially explicit indicators could be positively, negatively, or not associated with the evaluation results based on conventional indicators. The discrepancy may be caused by the different information contained in the two types of indicators. The spatially explicit indicators measure the quantity of the determinants and the spatial accessibility of these determinants, while the conventional indicators only measure the quantity. Our results also showed that social media data have great potential to represent the high-resolution population distribution required to estimate spatially explicit indicators. Based on our findings, we recommend that spatially explicit indicators should be included in healthy city indicator systems to allow for a more comprehensive assessment of healthy cities.

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Rui, LI. "Energy Internet Evaluation Index System under the Zero Carbon Goal." E3S Web of Conferences 252 (2021): 03058. http://dx.doi.org/10.1051/e3sconf/202125203058.

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At present, the zero-carbon goal has become the common choice of all the world. Driven by the zero-carbon goal, energy system in China will develop to be cleaner and cleaner. In this situation, Energy Internet has become the future development trend of the energy system. Based on the detailed analysis on the development history, the basic connotation and the key features of Energy Internet, an Energy Internet evaluation index system is introduced. This proposed indicator system evaluates Energy Internet from five dimensions, and all the indexes include the qualitative and the quantitative indicators, the process indicators and the result indicators, the technical indicators and the economic indicators. On this basis, an evaluation method is proposed based on the Analytic Hierarchy Process and the Delphi method. The proposed evaluation index system and the evaluation method can provide a good objective evaluation of the development of Energy Internet.

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Luo, Xiaochun, Zilong Wang, Lin Lu, and Yan Guan. "Supply Chain Flexibility Evaluation Based on Matter-Element Extension." Complexity 2020 (May 20, 2020): 1–12. http://dx.doi.org/10.1155/2020/8057924.

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Flexibility is an important indicator to consider the uncertain information processing ability of the supply chain comprehensively. It is a powerful way to improve the efficiency and quality of supply chain operation by evaluating the level of supply chain flexibility effectively. The traditional method is used to decompose the supply chain flexibility evaluation indicators from the perspective of system structure or cost saving, but these indicators cannot truly describe the dynamics of the supply chain operation. Otherwise, supply chain flexibility evaluation is a typical multiobjective evaluation; there are some incompatibilities between these flexible evaluation indicators, and the common evaluation methods are difficult to deal with such contradictions. In this paper, the dynamic characteristics of supply chain operation are considered, and the evaluation system of supply chain flexibility is designed from the perspective of operation efficiency. The matter-element analysis theory is used to create the comprehensive appraisal model of supply chain flexibility. The matter-element matrix solves the uncertainty and incompatibility of the evaluated factors used to assess supply chain flexibility. The paper evaluates the performance of four autoservice companies and concludes that the evaluation grades of the four companies are in line with the reality, indicating that the evaluation system and the method are effective and credible.

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Alferova, Tatyana Viktorovna. "Sustainable development of the region: Approaches to selecting evaluation indicators." Вестник Пермского университета. Серия «Экономика» = Perm University Herald. ECONOMY 15, no. 4 (2020): 494–511. http://dx.doi.org/10.17072/1994-9960-2020-4-494-511.

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Sustainable development evaluation is a separate area of research and a tool to prepare and to make management decisions in regional development. There are a lot of academic publications devoted to the selection of the indicators applied to measure the regions’ sustainable development. There is an ongoing discussion about the development of a system of indicators reflecting social, economic, and ecological areas of sustainable development applicable to regional evaluation and inter-regional comparison. The approaches are different in their choice of the indicators for the region’s sustainable development evaluation, this makes it more difficult to compare and to apply, which urges the need to systematize the applied approaches. In the view of the above, the purpose of the study was to look at the selection principles for the regional development measurement, to find the regularities and differences in working out the evaluation system for the sustainable development of the region’s economy. The novelty of the research is as follows: а) a comparative analysis method is applied to reason the selection principles for the indicators used to measure the regions’ sustainable development; b) a unique conceptual model for selecting the evaluation criteria of regions’ sustainable development is developed. Theoretical importance of the paper lies in systematization of the approaches to the sustainable development evaluation at the regional level. Research’s practical value is represented by visualization of the grouping principles for the evaluation indicators. The key methods of the research are a system-based method, logic and comparative analysis. A comparative analysis method was applied to find the regularities and common approaches to measurement indicator selection by the algorithm “author – region (a group of regions) – research purpose – a set of indicators”. The data was summarized in a colored matrix as a lot of characteristics should be considered, such as the name of an indicator, unit of measurement, origin of the indicators (one or several areas of sustainable development), purpose of an indicator or a solved research task, as well as the features of the regions which these systems of indicators were prepared for. The research also considers whether the authors adhered to the requirements, such as comparability, proportionality, correspondence with the sustainable development goals, ability to reflect the development dynamics, etc. As a result, the research revealed a significant chaos in the names of the indicators, units of measurement, approaches to data processing, etc. This impedes the evaluation of regions’ sustainable development and inter-regional comparisons. However, the research found that a number of indicators applied by many authors are repeated, which makes us claim that this research is likely to have its practical application, while the wording of the key principles contributes into the development of a list of universal key (basic) indicators applicable to evaluate the sustainable development in all regions, with no exception. With this in mind, the paper offers to develop the principles required for the measurement systems and some indicators under the conceptual basis presented as an author’s model. The model has several contours and conceptual levels since it unites a list of criteria to be met by the indicators and the algorithm which should be observed in developing these criteria or requirements. Along with this, the requirements to the indicators are developed at the target, vector, indicator, and object levels, while the requirements to the system on the whole are shaped at the system level. Level-based division is conventional since the criteria are closely interrelated. In this case, a level is seen to be a dimension for the criteria and a particular step in the algorithm rather than a hierarchy. The results of the research are as follows: a compiled list of indicators which are met in many publications at the same time with no regard to their origin and research task, which proves that the system of universal indicators for evaluation of the RF regions’ sustainable development could be developed; a ready-to-use conceptual model which systematizes the requirements to the evaluation indicators for the region’s sustainable development at target, indicator, object, and system levels of analysis. The developed model was used as the basis to define a list of key requirements to the indicators applied to measure the regions’ sustainable development. Observation of these requirements in selecting the indicators will further contribute into the development of a system of basic universal indicators applicable for evaluation, comparison and decision making to achieve the sustainable development of the regional economic systems.

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Wang, Zheng, Xuesheng Zhao, Wenbin Sun, Fuli Luo, Yalu Li, and Yuanzheng Duan. "Correlation Analysis and Reconstruction of the Geometric Evaluation Indicator System of the Discrete Global Grid." ISPRS International Journal of Geo-Information 10, no. 3 (February 27, 2021): 115. http://dx.doi.org/10.3390/ijgi10030115.

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Although a Discrete Global Grid (DGG) is uniform in its initial subdivision, its geometric deformation increases with the level of subdivisions. The Goodchild Criteria are often used to evaluate the quality of DGGs. However, some indicators in these criteria are mutually incompatible and overlap. If the criteria are used directly, the evaluation of the DGGs is inaccurate or unreliable. In this paper, we calculated and analyzed the correlation between the evaluation indicators of the DGG and reconstructed a quality evaluation system of DGGs with independent indicators. Firstly, we classified the Goodchild Criteria into quantitative and qualitative indicators. Then, we calculated the correlation among the quantitative indicators and extracted the independent evaluation factors and related weights of the observed values by factor analysis. After eliminating or merging the incompatible and overlapping quantitative indicators and performing a logical reasoning of the qualitative indicators, we reconstructed a comprehensive evaluation system with independent indicators. Finally, taking the Quaternary Triangular Mesh (QTM) model as an example, we verified the independence of the indicators and the feasibility of the evaluation system. The new indicator system ensures the reliability of the evaluation of DGGs in many fields.

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Ma, Zi Qin, Dong Yi Wang, Tao Wang, Li Sun, Qiang Cheng, and Jiang Wei. "Non-Logistics Indicators Evaluation of Workshop Process Layout." Advanced Materials Research 834-836 (October 2013): 1952–55. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1952.

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The non-logistics factors are very important the same as the logistics factors are to affect the decision-making of the enterprise workshop process layout. A large of typical non-logistics factors were analyzed and summarized after query and study of information and sites about workshop process layout. Then the non-logistics evaluation index system and evaluation standard were proposed. The weights of non-logistics indicators were determined by AHP. According to SLP, the non-logistics evaluating of layout project was carried out. The result should be supplied as the scientific basis for the layout decision. The example was presented.

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Zagurskiy, O. M. "Evaluation of motor transport enterprise investment potential." Naukovij žurnal «Tehnìka ta energetika» 11, no. 3 (November 18, 2020): 95–100. http://dx.doi.org/10.31548/machenergy2020.03.095.

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In the present circumstances, increasing of the motor transport enterprises efficiency contributes to the growth of its own competitiveness, has a significant influence on the competitiveness of their counterparties and the general level of competitiveness of the country's economy too. Therefore, the issue of improving the methods of evaluation of motor transport enterprises efficiency and search for new approaches of measuring of their investment potential is relevant. The purpose of the article is to develop economic and mathematical methods for evaluation of motor transport enterprise investment potential. The approach to generalizing the system of indicators for evaluation of motor transport enterprise investment potential was developed in the article. Procedure for conducting an investment potential analysis is based on the calculation of qualitative and quantitative indicators of the efficiency of motor transport enterprises activity. Function of desirable is the main tool of this methodological approach, that is complemented by the integrated coefficient calculation and using an objective-structural approach to reduce the subjectivity of non-formalized indicators. The proposed integrated indicator of the motor transport enterprise investment potential level gives an opportunity to comprehensively approach to an activity efficiency and enterprise management evaluation and identify the individual processes that need to be improved. Realization of the developed measures gives an opportunity to increase the overall efficiency of a motor transport enterprise management and increase its investment attractiveness for potential investors.

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Rutala, William A., Maria F. Gergen, and David J. Weber. "Evaluation of a Rapid Readout Biological Indicator for Flash Sterilization with Three Biological Indicators and Three Chemical Indicators." Infection Control and Hospital Epidemiology 14, no. 7 (July 1993): 390–94. http://dx.doi.org/10.2307/30148321.

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SHOUP, ANITA JO. "Evaluation of a rapid readout biological indicator for flash sterilization with three biological indicators and three chemical indicators." AORN Journal 59, no. 2 (February 1994): 523–25. http://dx.doi.org/10.1016/s0001-2092(07)70421-0.

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Rutala, William A., Maria F. Gergen, and David J. Weber. "Evaluation of a Rapid Readout Biological Indicator for Flash Sterilization with Three Biological Indicators and Three Chemical Indicators." Infection Control & Hospital Epidemiology 14, no. 7 (July 1993): 390–94. http://dx.doi.org/10.1086/646767.

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AbstractObjective:Flash sterilization is most commonly used for emergency sterilization of unwrapped items in a gravity displacement sterilizer for three minutes. Sterilization quality assurance is monitored by biological indicators that require a 24-hour incubation prior to reading. In this study, we compared a new biological indicator that provides results within 60 minutes with three conventional, 24-hour biological indicators for monitoring flash sterilization and three chemical indicators.Design:Conventional biological indicators tested included the conventional Attest 1261, Proof Flash and Assert, while the rapid readout indicator tested was Attest 1291. Attest Rapid Readout detects the presence of aBacillus stearothermophilusenzyme by reading a fluorescent product that is produced by the enzymatic break-down of a nonfluorescent substrate. Chemical indicators tested included Comply, Incheque, and Thermalog S. Survival at 132°C in a gravity displacement sterilizer was measured by media color change after incubation for 24 hours at 56°C for the three conventional biological indicators, fluorescence at 60 minutes for the Attest Rapid Readout biological indicator, and color change for the chemical indicators. Each exposure time was replicated four times with 10 of each biological and chemical indicator per run.Results:The conventional biological indicators (Attest, Proof Flash, and Assert) had 90%, 48%, and 40% spore survival at two minutes exposure; 23%, 3%, and 0% at three minutes exposure; and 3%, 0%, and 0% at four minutes exposure respectively. The Attest Rapid Readout biological indicator had 88%, 33%, and 0% enzyme activity detectable at 2, 3, and 4 minutes exposure. The chemical indicators Comply, Incheque, and Thermalog S revealed sterilization failure rates of 100%, 100%, and 100% at 0 minutes exposure; 100%, 100%, and 45% at one minute; 0%, 0%, and 28% at two minutes exposure; 0%, 0%, and 18% at three minutes exposure; and 0%, 0%, and 0% at four minutes exposure, respectively.Conclusion:The sensitivity of the Attest Rapid Readout parallels the conventional biological indicators. These data suggest that a 60-minute rapid readout biological indicator is equivalent to the 24-hour biological indicators. If further studies demonstrate that a four-minute flash sterilization cycle provides a needed safety margin to ensure sterilization, then consideration should be given to requiring a four-minute flash sterilization cycle. Chemical indicators were too sensitive to the processing conditions (eg, steam) and are inadequate to ensure adequate sterilization.

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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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Ma, Li, Jianguo Zhang, Chen Xu, Xingping Lai, Qiang Luo, Chendong Liu, and Kemin Li. "Comprehensive Evaluation of Blast Casting Results Based on Unascertained Measurement and Intuitionistic Fuzzy Set." Shock and Vibration 2021 (January 28, 2021): 1–14. http://dx.doi.org/10.1155/2021/8864618.

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In order to make a scientific and accurate evaluation of blast casting results, according to the characteristics of blast casting-dragline stripping system, effective casting rate, looseness coefficient, limit vibration velocity, powder factor, fragmentation distribution, muck pile shape, boulder generation, damage degree of coal seam step, and dust pollution are selected as the evaluation indicators of blast casting results, and a classification standard is established. The unascertained measure theory was adopted to determine the membership degree of influencing factor indicator, which expanded the expression method of fuzzy information of evaluation indicators. The Analytic Hierarchy Process was used to determine the subjective weight of indicators, the entropy weight method was used to determine the objective weight of indicators, and the intuitionistic fuzzy set was used to express the range of the comprehensive weights of indicators. An evaluation model of blast casting results was constructed based on unascertained measurement and intuitionistic fuzzy set. The measured and processed data of blast casting in Heidaigou Open-Pit Coal Mine were calculated by the evaluation model. Besides, the sensitivity of indicator weights to the evaluation result of blast casting results was also analyzed. The results show that the blast casting results are level III (well). The effective casting rate ranks first in terms of the influence on the evaluation result, followed by damage degree of coal seam step, muck pile shape, looseness coefficient, powder factor, dust pollution, limit vibration velocity, and boulder generation/fragmentation distribution, and it was proved that the weight fluctuation of the evaluation indicator has no obvious correlation with weight.

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Li, Jun Mei, Zhao Lu Wu, Yu Fei, Shu Zhuang He, and Jie He. "Assessment of Ecosystem Health of Panlong River, an Urban River in Kunming City." Advanced Materials Research 742 (August 2013): 427–31. http://dx.doi.org/10.4028/www.scientific.net/amr.742.427.

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Healthy urban river ecosystem is the important symbol of the sustaining development of a city. This thesis discussed the issues of the ecosystem health situation of Panlong River, an urban river in Kunming city. This can provide the reference and scientific strategy for the government to renovate the urban river comprehensively. Using the comprehensive index evaluation method, we selected some indicators to characterize the main features and functions of urban river ecosystem to establish a comprehensive index system for evaluating urban river ecosystem health. These indicators included six aspects: water quality indicators, aquatic life indicators, hydrology indicators, river channel indicators, riparian zone indicators and social indicators. Total of them are 20 indicators. And the evaluation criteria was ascertained. Analytic hierarchy process (AHP) method was used to determine the weight of the indicators and the comprehensive assessment model was also built. Pilot study results indicate that the ecosystem of Panlong River in Kunming city is in the health status in 2011. The results showed that the comprehensive renovation of the Panlong River was very effective. Based on the ecosystem health assessment results of Panlong Rive and evaluation score of each indicator, we made certain the limiting factors that affect the urban river ecosystem health, which are vegetation of riparian zone, the water quality, aquatic habitat, the curve situation of the river channel, the form of bank protection, etc. And some suggestions were also provided for Panlong River ecological restoration.

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Lemr, Karel, and Milan Kotouček. "Evaluation of colour changes of screened acid-base indicators." Collection of Czechoslovak Chemical Communications 54, no. 2 (1989): 346–60. http://dx.doi.org/10.1135/cccc19890346.

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Based on computer-assisted calculations, six screened indicators were prepared and used for visual titration end point indication. Three of them were evaluated in terms of objective colour characteristics. Their colour changes were characterized in the CIE-xy (1931) international colorimetric system, by the Helmholtz coordinates, complementary Qx, Qy coordinates, perceptibility and course of the ΔJ/ΔpH = f(pH) function. In addition, new indices were introduced, viz. partial quality indices IE, Ip and Im, related with the colour difference between the two indicator species (IE), their colour purity (Ip) and the experimenter's ability to remember the colour in the titration end point (Im). Summed up, the three indices constitute the total quality index of the chemical indicator It. These indices were employed for comparing the single and the corresponding screened indicators.

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Xu, Wan Hong, Yuan Yuan Zhang, and Shu Liu. "Multi-Level in Fuzzy Evaluation of the Development Analysis of Electric Vehicle." Applied Mechanics and Materials 71-78 (July 2011): 2357–60. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.2357.

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In view of overall strategies for the development of Electric Vehicles and their internal conditions, the complex engineering designs of their promotions often involves some parameters’ determination such as research and development, market, battery cost performance, motor cost performance, some quality indicators of mutual restraints and many other complex influential factors are. In order to obtain satisfactory products, the evaluation indicator of Electric Vehicle development should be analyzed and evaluated. This paper constructs evaluation index systems of Electric Vehicles development and determines the evaluation index and weight reasonably by multi-level and multi-objective fuzzy comprehensive evaluation methods. And by transforming complicated multiple evaluations into simple quantitative evaluations, it provides a scientific evaluation method for improving the overall evaluations of electric vehicle development.

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Cadotte, Tory, Zahra Ismail, Lesley Moody, and Maria Rugg. "Psychosocial oncology quality indicators prioritization exercise." Journal of Clinical Oncology 34, no. 7_suppl (March 1, 2016): 277. http://dx.doi.org/10.1200/jco.2016.34.7_suppl.277.

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277 Background: One of Cancer Care Ontario’s (CCO) roles is to monitor and report on cancer system performance to support quality improvement. CCO’s Psychosocial Oncology (PSO) program developed a measurement plan with potential indicators to evaluate patient access to and the effectiveness of PSO services across the province. The objective of this study was to conduct a modified Delphi process to build consensus and prioritize PSO indicators based on their relevance to provincial goals, ability to measure regional and provincial performance and result in tangible actions. Methods: Through consultations and literature reviews, 16 measurement concepts were identified as quality indicators for the PSO Program. Members of the PSO Provincial Committee (n = 32) evaluated each indicator based on set criteria: relevance, outcome-focused, directional, and actionable. Two rounds of input was gathered through a structured worksheet with a minimum response rate of 60%. Round one was based on a simple ‘Yes or No’ response to the indicators’ ability to meet the defined criteria. Participants were encouraged to comment on each indicator and suggest new indicators. Indicators not meeting at least half of the evaluation criteria, on average, were removed from the list. Net new indicators suggested by at least 10% of respondents were included in round two. In round two, members rated each indicator on a scale of 1-5, indicating to what degree the indicator met the evaluation criteria. Results: After round one, the original list was narrowed from sixteen to nine indicators. Four new indicators were also added. After round two, three indicators were identified as meeting the evaluation criteria: 1) wait times to specialized PSO services, 2) access to registered dietitian services by the head and neck cancer population, and 3) documented follow-up with patients with anxiety and/or depression. Prioritized indicators were reviewed with the PSO Committee and CCO senior leadership to confirm direction. Conclusions: The prioritization exercise provided consensus across divergent perspectives and identified top priorities. Work is underway to further develop/refine these indicators for provincial reporting.

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Wang, Li Jiu, and Li Li. "Development of a Method in Evaluation and Adjustment for Consistency of Group Decision-Making Based on Grey Relational Analysis and its Application in Evaluation of New Rural Economic Building Materials." Advanced Materials Research 168-170 (December 2010): 1163–68. http://dx.doi.org/10.4028/www.scientific.net/amr.168-170.1163.

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In this paper, grey relational analysis (GRA) was used in consistency test of group judgment matrixes. The evaluation indicator weight was obtained through the judgment matrix calculated with expert evaluating method in analytical hierarchy process (AHP). The judgment method and the adjustment process for consistency of group judgment matrixes were studied. First, the consistency indicators were put forward, and then the definitions and the theorems of consistency indicators in the judgment method were defined based on GRA. Then the theorems were given proof. A method using GRA to judge the consistency of group judgment matrixes was proposed for the first time. Second, adjustment modeling was developed to solve the consistency of group judgment matrixes. Finally, the applications of the judgment method and the adjustment process have been illustrated by given example. It is believed that the proposed methods are applicable to test consistency of evaluation indicators of new rural economic building materials.

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Soltani, Ali Mohammad, Seyed Habibollah Tabatabaeian, Payam Hanafizadeh, and Jahanyar Bamdadsoofi. "Outcome and impact indicators for nanotechnology policies." Journal of Science and Technology Policy Management 11, no. 4 (August 24, 2020): 563–83. http://dx.doi.org/10.1108/jstpm-06-2018-0055.

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Purpose The purpose of this paper is to suggest indicators for evaluating Iran national nanotechnology plan at the policy and program levels. Governments are required to evaluate their policies to be accountable to their audience and to improve their policies. The evaluation of nanotechnology policies both in academic and governmental institutions has been mainly confined to measuring the research and development outputs, while explicit models are required for evaluating national nanotechnology policies and programs. In other words, although policies are translated into several activities, it does not mean that the evaluation of activities results in holistic policy evaluation. Design/methodology/approach The present research uses a qualitative method to explore the process of developing a model for assessing nanotechnology policymaking in Iran. Expert opinions have been collected and analyzed by using local and international surveys to validate different elements of the model. Findings The model includes the evaluation time-frame, criteria and indicators for policy and program levels. Assessment at program and policy levels, as distinct from activity evaluation, measures the ultimate objectives of a policy intervention, based on which the outcome and impact indicators should be developed. This paper argues that the Iran national nanotechnology policy should be evaluated and revised triennially based on the model in which 46 outcome and impact indicators are included under three general criteria of appropriateness, efficiency and effectiveness. A number of these indicators should be evaluated annually or biannually. Originality/value The evaluation of nanotechnology plans has been mainly limited to assessing the research and development outputs that are related to the activity level. The main value of this work is developing outcome and impact indicators that are related to policy and program levels.

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Liying, Ren, and Zou Yuchin. "Public Evaluation of Society in China." International Journal of Social Quality 9, no. 1 (June 1, 2019): 51–74. http://dx.doi.org/10.3167/ijsq.2019.090104.

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This study employs the social quality approach to analyze public evaluation of society in China based on the data of the 2017 Chinese Social Survey. It includes both objective and subjective survey indicators of the conditional factors of social quality, namely, socioeconomic security, social cohesion, social inclusion, and social empowerment, as independent variables. Regression results reveal most of these indicators are significantly related to the overall evaluation of society though with different explanatory power. This study not only helps understand how Chinese people evaluate their society but also calls attention to further improve social quality indicator system.

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

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

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Hyun, Hye-Kyung, and Mi-Gyeung Yeum. "Exploration of Community Resilience Evaluation Indicators Using Jeju Community Survey Indicators." Society for Jeju Studies 53 (February 28, 2020): 75–101. http://dx.doi.org/10.47520/jjs.2020.53.75.

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Dvořák, Zdeněk, and Nikola Chovančíková. "Research of safety management indicators." Technium Social Sciences Journal 8 (May 28, 2020): 552–57. http://dx.doi.org/10.47577/tssj.v8i1.545.

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Safety is one of the basic needs of every citizen, company, city, region, and state. Long-term solutions to safety issues have brought 6 pillars to this area (ie physical security, fire safety, safety and health at work, environmental safety and security, operational safety and security, information security). The mentioned safety/security pillars comprehensively cover the area of safety within the company, region, etc. In today's society, it is necessary to focus on the effective evaluation of individual pillars of safety/security. By evaluating them, it is possible to identify places with deficiencies that may be sources of risk in the future. Sources of risk could be identified through a tool that could comprehensively assess all pillars. The result of the evaluation would be the level of safety of the evaluated pillar. Depending on the level of the safety pillar, adequate measures could be taken to address the shortcomings.

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Țilică, Elena Valentina, and Radu Ciobanu. "Evaluation Indicators for Investment Projects (I)." CECCAR Business Review 1, no. 7 (July 31, 2020): 39–47. http://dx.doi.org/10.37945/cbr.2020.07.05.

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Țilică, Elena Valentina, and Radu Ciobanu. "Evaluation Indicators for Investment Projects (II)." CECCAR Business Review 1, no. 8 (August 31, 2020): 41–44. http://dx.doi.org/10.37945/cbr.2020.08.05.

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Yamada, Hiroshi, Yasuyoshi Tokutsu, and Yuzo Honda. "An Evaluation of Japanese Leading Indicators." Journal of Business Cycle Measurement and Analysis 2007, no. 2 (March 10, 2008): 217–33. http://dx.doi.org/10.1787/jbcma-v2007-art12-en.

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Cruz, Silvia, and Sônia Paulino. "Public Service Innovation and Evaluation Indicators." Journal of technology management & innovation 8 (2013): 51–52. http://dx.doi.org/10.4067/s0718-27242013000300026.

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Journal articles on the topic 'Evaluation of indicators'

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