Academic literature on the topic 'Evaluation of indicators'

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Journal articles on the topic "Evaluation of indicators"

1

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 (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 o
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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 (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 author
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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 (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: EA
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Xu, Dan, Jilong Liu, Dong Liu, et al. "Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system." Water Supply 21, no. 6 (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, subje
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McKool, Marissa, Kimberley Freire, Kathleen C. Basile, et al. "A Process for Identifying Indicators With Public Data: An Example From Sexual Violence Prevention." American Journal of Evaluation 41, no. 4 (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
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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 (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 i
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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 (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.
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Zagursky, О. M. "System of evaluation of performance indicators of supply chains." Naukovij žurnal «Tehnìka ta energetika» 10, no. 3 (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 (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 ris
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