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College ranking is the main thing used as a basis to attract prospective new students. Prospective new students will generally look for related information from which universities are the best to choose in the future. In the ranking of universities based on the official page of the Ministry of Research, Technology and Higher Education, the ranking of universities, both public and private, can be a reference for recruiting prospective students. The better the college ranking, the more attractive prospective new students are. To determine the ranking of a university, a decision support system is needed. There are many methods available from the decision support system, but in this study, the author will use the VIKOR method (Visekriterijumsko Kompromisno Rangiranje), which is part of the MCDM (Multi-Criteria Decision Making), as a solution to these problems. The VIKOR method is a multi-criteria optimization method that can be used on fairly complex systems. In this study, the sample data used came from 10 universities in the city of Medan, where the initials of each naming were colleges A to J. From the results of research analysis using the VIKOR method, the ranking results were as follows, where college B got the first rank with the lowest score of 0. Then the second rank was college G and in the third rank was college H with each score of 0.248211396 and 0.304702661. For the fourth, fifth, sixth, seventh to tenth ranks, they are sorted from colleges A, I, C, E, F, D, and J.

In this research work, designing and fabrication of hybrid epoxy polymer composite materials had been carried out. It consists of basalt fiber (constant fraction) and marble dust particulates (0–10 wt% @ step of 2.5%) ensuing five compositions namely, MBE-0, MBE-2.5, MBE-5, MBE-7.5, and MBE-10. The specimen’s undergone physical, mechanical, and thermo-mechanical characterizations followed by three-body abrasive wear performance evaluation. Parametric optimizations of the wear have been evaluated with the Taguchi technique. The performance data are used to rank the compositions using a hybrid AHP-VIKOR selection making tool. It has been observed that voids content improves with reinforcement up to 5 wt% marble dust reinforcement, thereafter, it deteriorates sharply. The mechanical properties with 5 wt% marble dust reinforcement found to be highest. The thermo-mechanical characteristics like modulus and damping improve with marble dust reinforcement and temperature. The Cole-Cole plots reveal the heterogeneity present in the composites. The Taguchi’s analysis reveals the order of operating factors influencing specific wear rate as abrading distance > normal load > reinforcement composition > abrasive size. The steady state-specific wear rate of the composites reveals decremented rate across the abrading distance range irrespective of reinforcement proportions and at any specific abrading distance the order it followed as MBE-5 < MBE-7.5 < MBE-2.5 < MBE-10 < MBE-0. The ranking analysis using hybrid AHP-VIKOR technique predicts the ranking sequence as MBE-5 > MBE-7.5 > MBE-2.5 > MBE-10 > MBE-0, which are in-line with subjective analysis.

Clean water is an important resource for maintaining human life, economic activities, and ecosystems' survival. Nevertheless, its irregular distribution and occasional scarcity lead to the need to promote its sustainable use. To assess the current situation and the dynamics of sustainable water use, it is crucial to identify the main factors affecting it and to propose monitoring indicators. This paper develops an approach based on compromise programming to analyse water use sustainability at the municipal level, with a methodology that comprise a framework designed in five steps: 1 - indicators' choice; 2 - indicators's weights; 3 - definition of sustainability rankings with the application of a compromise programming approach; 4- application of a GIS analysis; 5 - identification of the main factors affecting sustainable water use. As a first result, the consensus weights of the chosen indicators were defined, indicating that the most important internal factors affecting sustainable water use are safe water, the percentage of housing served by water supply and water distributed by inhabitant. Then sustainability rankings at the municipality level were defined considering these factors. Finally, it was possible to conclude that tourism activity, income level, and young age population have a significant negative effect on sustainable water use, and municipal revenue has a positive effect. Irrigated farming shows a non-significant negative effect on sustainable water use. Population density, elderly population and education level did not show the expected effects on sustainable water use. info:eu-repo/semantics/publishedVersion

Plavanje je eden izmed najbolj popularnih športov, ki se razvija pod okriljem organizacije FINA (Fédération Internationale De Natation Amateur). Prirejajo se občinska, regijska, univerzitetna, državna in mednarodna plavalna tekmovanja, različnih formatov in starostnih skupin, po vsem svetu. Plavalna tekmovanja danes potekajo v športnih objektih, ki so odobreni s strani organizacije FINA. Do leta 2020 je Slovenija v plavanju osvojila 100 medalj z največjih tekmovanj (evropska in svetovna prvenstva, olimpijske igre). Največ uspehov so plavalci dosegli v kratkih bazenih. Obdobje od 2000 do 2010 je za Slovenijo predstavljalo zlato dobo. Po številnih upokojitvah najboljših slovenskih plavalcev, je nastala v slovenskem plavanju praznina. Z raziskavo smo želeli ugotoviti ali slovenski plavalci sledijo rezultatom mednarodnih plavalcev. Dobljene podatke smo predstavili kot pozitivne oz. negativne trende razvoja doseženih časov. Primerjali smo povprečne dosežene čase najboljših desetih slovenskih plavalcev z mednarodnimi plavalci, v obdobju od leta 2011 do leta 2020. Upoštevali smo čase plavalcev, ki so na slovenski in mednarodni plavalni lestvici zasedali mesta od ena do deset. Analiza je pokazala, da so slovenski plavalci napredovali v dvanajstih od trinajstih, mednarodni plavalci pa v enajstih od trinajstih preučevanih disciplin. Plavalke na mednarodni ravni so napredovale v dvanajstih od trinajstih, slovenske plavalke pa v sedmih od trinajstih disciplin. Najbolj zaskrbljujoče stanje je pri slovenskih plavalkah, kjer je napredek opazen samo v krajših disciplinah. Slovenski plavalci in plavalke imajo še veliko prostora za napredek, medtem ko se najboljši plavalci na svetu približujejo časovnim limitom. Pregled rezultatov zadnjega desetletja nam daje lep vpogled v trenutno stanje slovenskega plavanja. Analiza, ki smo jo pripravili, bo v pomoč trenerjem slovenskih vrhunskih plavalcev, pri načrtovanju in izvajanju trenažnih procesov. Podobno analizo bi bilo zanimivo narediti čez deset let, kjer bodo verjetno vidne tudi posledice virusa, COVID-19. Swimming is one of the most popular sports developed under FINA organization. Around the world, municipal, regional, university, national and international swimming competitions are held in various formats and age groups. Swimming competitions can be organized in sports facilities approved by FINA organization. By 2020, Slovenia has won 100 medals in major competitions such as European Championships, World Championships and Olympic Games. Slovenian swimmers have been most successful in short distances. The period from 2000 to 2010 is called the Golden Age for Slovenian swimming. After numerous retirements of the best Slovenian swimmers, a big gap appeared. With the research, we wanted to find out whether Slovenian swimmers follow the results of international swimmers in the period from 2010 to 2020. The obtained data are presented as positive or negative trends of the achieved swimming times. We compared the average achieved times of Slovenian swimmers with the best swimmers in the world in 10 seasons, ranked from one to ten on the Slovenian and international swimming rankings. The analysis showed the progress of Slovenian swimmers in twelve out of thirteen events for men and seven out of thirteen events for women. The progress of international swimmers is shown in eleven out of thirteen disciplines for men and twelve out of thirteen disciplines for women. It is worrying that the progress of Slovenian women is only evident in the short disciplines. Slovenian swimmers still have a lot of room for improvement compared to the best swimmers in the world. An overview of the results of the last decade gives us a good insight into the current state of Slovenian swimming. The research will help the coaches of the top Slovenian swimmers in planning the training process. It would be interesting to conduct a similar analysis in ten years to see what impact the virus COVID -19 has on swimming performance.

Corn flour-based porridge like dough, ugali, is the staple food of low-income population in sub-Saharan Africa. Lack of vitamin A, carotenoids, and dietary fibers brings about serious health issues to this population. In this study, vegetables including bok choy, broccoli, cabbage, carrot, Chinese onion stalk (C_onion), mushroom, are added during the cooking of ugali, as nutritional supplements. The freeze-dried powder of each vegetable was used for its long storage, stable nutrients, and similar particle size. Sub-Saharan African assessors were trained and sensory evaluated the six different vegetable fortified ugali with the plain, unfortified as the control on five attributes. The plain ugali was indistinguishable with the C_onion stalk fortified in color, with the carrot and C_onion stalk fortified in odor, with all vegetables (except broccoli and mushroom) fortified ugali in taste, with carrot and C_onion stalk fortified in granularity, and with cabbage, carrot, C_onion stalk fortified in viscosity. Preference ranking analysis showed that the C_onion stalk fortified ugali is even more favorably preferred than the plain, unfortified ugali, probably due to the umami components in C_onion that serve as the taste enhancer. This study indicates that Chinese onion stalk is a potential vegetable supplement to population in the sub-Saharan Africa.

Although Building Information Modeling (BIM) can enhance efficiency of sustainable building projects, its adoption is still plagued with barriers. In order to incorporate BIM more efficiently, it is important to consider and mitigate these barriers. The aim of this study is to explore and develop strategies to alleviate barriers in developing countries, such as Malaysia, to broaden implementation of BIM with the aid of quantitative and qualitative approaches. To achieve this aim, a comprehensive literature review was carried out to identify the barriers, and a questionnaire survey was conducted with construction projects’ stakeholders. The ranking analysis results revealed the top five critical barriers to be “unavailability of standards and guidelines”, “lack of BIM training”, “lack of expertise”, “high cost”, and “lack of research and BIM implementation”. Comparative study findings showed that “lack of research and BIM implementation” is the least important barrier in other countries like China, United Kingdom, Nigeria, and Pakistan. Furthermore, qualitative analysis revealed the strategies to mitigate the BIM implementation barriers to enhance sustainable goals. The final outcome of this study is the establishment of a framework incorporated with BIM implementation barriers and strategies namely, the “BIM-based research framework”, which can assist project managers and policymakers towards effective sustainable construction.

Building information modelling (BIM) has been adopted in the construction industry in the last few years due to its potential to enhance construction business performance in terms of efficiency and effectiveness. In Malaysian construction industry, BIM appears as innovative technology to escalate the performance and productivity in handling a construction project. The impact of BIM knowledge and years of experience on the absorptive capacity (AC) of construction stakeholders to adopt new information for organizational learning is investigated through this study. Hence, the main objectives from this study which are to identify the application of the absorptive capacity concept of external knowledge and experience on BIM implementation among construction stakeholders. The data collected by using questionnaire survey which distributed within Selangor area that represents the highest value of construction work done. The data were analysed by using SPSS software. As a result, the finding demonstrated 5 of the main factors on external knowledge and experience on BIM implementation with a value of Mean Ranking Analysis almost 80%. While 1 main factor which is knowledge and experience of BIM as a prerequisite to secure project has a value of mean about 75% only. Thus, it is expected that the finding shall bring significance and knowledge for the construction practices adopting BIM across the construction projects and become one of the main digital tools to improve construction projects effectively.

Currently, religiosity has become an emerging topic in the literature of public administration. Most research examines the dimensions of religiosity and their relationships with various organizational dimensions. Much less attention, however, has been paid to analyze the factors affecting employees’ religiosity, particularly in the context of public organization. Therefore, this study investigates the critical factors affecting employees’ religiosity. This study is conducted on 262 public servants in the Government of Kepulauan Riau Province. An extensive literature and questionnaire were used to identify the factors affecting employees’ religiosity. This study applied statistical methods with ranking and factor analyses to verify and analyze the factors. Ranking analysis results the most important factors, namely family religious activity. Factor analysis constructs 5 components, including personal belief system, implementing religious belief, family religiousness, religious practices, and belief on the death. Theoretical, methodological, and practical implications are provided in the light of these findings.

Construction projects are generally known to be susceptible to risks. This results in an inability to meet performance targets. This paper assessed the risk factors encountered in the delivery of road projects in Osun State, Nigeria. A questionnaire survey was used to obtain data from all the 146 construction professionals involved in the construction of the 34 road projects executed in the study area. The professionals comprised of 34 Consultant Civil Engineers, 34 Consultants’ Civil Engineers, 34 Consultant Quantity Surveyors, 34 Consultants’ Quantity Surveyors, one project financier and 9 Project Managers, making a total of 146 respondents. Using two-dimensional scaling, the respondents were asked to provide opinions on risk occurrence and their impacts on road projects. The data collected were analysed using mean ranking analysis and student t-test. A further analysis was carried out using factor analysis to reduce the factors impacting road projects into fewer factor components. The results revealed that the risk factors with high extent of occurrence are in the order of change in scope of work, defective design, error and re-work, change in design, delay in availability of design details and unforeseen adverse conditions. Surprisingly, the top ranking risk factors are not the ones with high impact based on the result of the analysis. Using factor analysis, 9 component factors regarding the extent of risk occurrence were obtained and they accounted for 73.73% of the variance explained while 4- component factors were obtained regarding the impact of risk occurrence and they accounted for 46.16% of the variance explained. The study concluded that professionals involved in the delivery of road projects need to be aware of the significant risk factors impacting road projects and put proactive risk management approach in place to deal with them to avoid surprises.Keywords: Performance, Projects, Risk factors, Risk impact, Road.

Purpose Preventive maintenance is an effective maintenance strategy to ensure the constant and efficient usage of building systems and their components. The reactive-based maintenance as the main strategy in high-rise residential buildings is a concern as the maintenance output resulting from the strategy could not achieve the standard level of performance. The purpose of this paper is to identify the characteristics of preventive maintenance and establish the relationship with maintenance performance in high-rise residential buildings. Design/methodology/approach The characteristics of preventive maintenance and maintenance performance parameters were identified through the literature review. A quantitative approach was adopted, where a questionnaire was distributed to the maintenance personnel of high-rise residential buildings. Then, ranking analysis and correlation were conducted to produce findings that help to achieve the research objectives. Findings The research findings indicate that there are seven maintenance characteristics significantly correlated with maintenance performance indicators (maintenance costs deviation, time variance of maintenance work, customer service and downtime rate). It is recommended that these characteristics are considered during the execution of preventive maintenance as they have a significant effect on the maintenance performance. Originality/value The extensive literature suggests the relationship between the characteristics of preventive maintenance and maintenance performance, but is still questionable. Thus, this research investigates the relationship between preventive maintenance characteristic and maintenance performance for high-rise residential buildings in Malaysia. The findings of the research can act as a guide for maintenance personnel to optimise maintenance performance by focusing on the highlighted preventive maintenance characteristics.

The goal of the study was to analyze the perception of the territorial brand of Spain at home and abroad. The theoretical basis of the study is the concept of the national brands index S. Anholt. The study was done with the application of the methods of comparative analysis of empirical data obtained from international and Spanish studies in the area of territorial branding. The research materials are made in the area of territorial branding, representing various approaches, sampling and methodology: the S. Anholt Index of National Brands (Nation Brand Index); Ranking Country RepTrack and researching the external and internal image of Spain at the Royal Institute of Elkano. The ranking analysis showed that in 2016 the reputation of the most authoritative states suffered, but Spain’s reputation began to be evaluated better and for the first time it became part of a group of countries with a stable reputation. The growth of Spain’s reputation in the world is due to the fact that in 2015 the tone of publications about Spain in the international media system had changed - a direct association with the economic crisis had left the narrative. The results of the research in the field of territorial branding confirm the thesis of Carlos Espinosa, the High Commissioner of the state project «Brand Spain» (Marca España), that in Spain the country’s brand is estimated lower than abroad, but at the same time the positive dynamics of the perception of Spain’s image indicate the effectiveness of this project and the competitiveness of the brand of Spain at the present stage. Contrary to the economic and political difficulties that Spain has faced over the past 20 years, regular work to design and promote the brand of Spain has been and has yielded positive results.

This study aims to create a list of CSFs for China’s BOT projects to help organizations achieve project success. We first describe the role of CSFs in terms of three broad categories of whether BOT projects adopt strategies for risk transfer, the degree to which BOT projects foster the ‘whole- life approach’ to project design and management and extent to which BOT projects ensure timely delivery and supplies good-quality products and services. Based on an initial CSF list, a questionnaire survey was conducted to identify the relatively important CSFs for BOT projects in China. Our initial assessment shows that the key CSFs corresponded to our defined categories of BOT projects’ success factors. We then provide an updated list of CSFs with the top ten factors in ranking analysis. This list of CSFs could play a useful role in the phases of preparing, bidding, constructing, operating and transferring of BOT projects.

This paper proposes a robustness analysis based on Multiple Criteria Decision Aiding (MCDA). The ensuing model was used to assess the implementation of green chemistry principles in the synthesis of silver nanoparticles. Its recommendations were also compared to an earlier developed model for the same purpose to investigate concordance between the models and potential decision support synergies. A three-phase procedure was adopted to achieve the research objectives. Firstly, an ordinal ranking of the evaluation criteria used to characterize the implementation of green chemistry principles was identified through relative ranking analysis. Secondly, a structured selection process for an MCDA classification method was conducted, which ensued in the identification of Stochastic Multi-Criteria Acceptability Analysis (SMAA). Lastly, the agreement of the classifications by the two MCDA models and the resulting synergistic role of decision recommendations were studied. This comparison showed that the results of the two models agree between 76% and 93% of the simulation set-ups and it confirmed that different MCDA models provide a more inclusive and transparent set of recommendations. This integrative research confirmed the beneficial complementary use of MCDA methods to aid responsible development of nanosynthesis, by accounting for multiple objectives and helping communication of complex information in a comprehensive and traceable format, suitable for stakeholders and/or decision-makers with diverse backgrounds. (C) 2017 The Authors. Published by Elsevier Ltd.

Changes in surface air temperature can directly affect hydrology, agriculture, and ecosystems through extreme climate events such as heat waves. For this reason, and to improve climate change adaptation strategies, it is important to investigate the ranking of hottest years. In this study, the Wilcoxon signed-rank test and Monte Carlo simulation are used to estimate the ranking of the hottest years for the Tibetan Plateau (TP) in recent decades, and the uncertainty in the ranking. The Wilcoxon signed-rank test shows that the top 10 hottest years on record over the TP mainly occur after 1998. The top three hottest years are ranked as 2006, 2009, and 2010, but there is almost no significant difference between them. When both sampling and observational errors are considered, only five years have a non-zero probability of being the hottest year, with the three highest probabilities being for the years 2006 (~47.231%), 2009 (~40.390%), and 2010 (~12.376%). Similarly, with respect to a given year that is among the 10 hottest years, our results show that all the years among the ranks of 1–10 resulting from the Wilcoxon signed-rank test have probabilities above 10%, while the years 2001 and 2012 have probabilities of 3% and 4%.

With the continuous development of modern information technology, online shopping is becoming more and more popular. With more and more online products, how to rank and recommend online products is particularly important. This paper proposed a hybrid model combining unconstrained ordination analysis and cluster analysis. Ordination analysis is used to explain the relationship between online merchandise and its indexes; then cluster analysis is implemented to classify the results of the ranking analysis. Therefore, the buyer can directly understand the situation of the product in terms of the product index and the store index from the bi-plots. The proposed model solves the neglect of the link between commodities and their indexes in traditional rankings. Buyers can purchase goods accurately according to their needs.

The advent of the Internet era has promoted the continuous reform and development of college education. In order to adapt to the demand of information technology for teaching, the application of digital learning tools is increasing day by day, but it is still in the exploration stage and faces many opportunities and challenges. Through the analysis of Top Tools for learning ranking in 2018, this paper sorts out the development status and evolution trend of learning tool application, and summarizes, classifies and reflects on the application methods of learning tools in literature research, and finally builds learning tools in learning activities. Application model.

As for factories, they are always divided into two main parts, which are the administrative part and the part in which the industrial process takes place, which is the industrial part. The two parts may be located in one building or a building dedicated to each part may be built, depending largely on the requirements of the industry and the size of the factory. There are large differences between the use of each part and thus, resulting in large differences in the characteristics of each building. The ways of choosing the construction method for industrial building in Egypt still depend to a large extent on anecdotal evidence or simply cost- based evaluation when comparing different construction methods for industrial buildings. Therefore, there is an urgent need for holistic criteria to assist in the method of choosing the appropriate construction method for industrial buildings during the early stages (design and planning stage) of the project. By reviewing the previous literature and the requirements of the various stakeholders in the project, reviewing the Egyptian laws, whether building laws or environmental laws, as well as labor laws, and making comprehensive comparisons between the different construction methods, especially the on- site construction method and the off- site construction method, a set of 30 Sustainable Performance criteria (SPC) based on the Trip Bottom Line (TBL) were determined. A questionnaire was designed and a survey was conducted for Egyptian practitioners who have experience in either the industrial building construction industry or in off- site construction methods. The survey included contractors, consultants and owners of industrial buildings. The survey was conducted to determine their perceptions of the importance of the selected criteria. The ranking analysis of the survey results showed that there is still a low importance for social and environmental standards compared to economic criteria in the method of choosing methods for constructing industrial buildings in Egypt.

The main purpose of this article is to compare Istanbul Financial Centre with selected twelve centres taking into consideration the banking system, the financial markets and instruments in micro perspective. These selected financial centres are Dubai, Frankfurt, Hong Kong, Kuala Lumpur, London, Moscow, New York, Paris, Shanghai, Singapore, Tokyo and Toronto. All financial centres are compared with Istanbul based on by using ranking analysis. Various characteristics of the financial system are taken. Nine indicators are used for the banking sector, whereas 13 indicators are used for the financial markets. The indicators are used as the average of the values between 1992 and 2012 in the ranking analysis. Our research question is that: “What is the competitiveness of Istanbul among International Financial Centres. The contribution of this study is analysing competitiveness potential of Istanbul Financial Centre and proving the importance of banking sector and the capital markets on the size of the financial system in financial centres. As a result, Istanbul Financial Centre has not competed yet with compared financial centres. By considering the characteristic of the financial system in global and regional centres, Istanbul will be grown and developed first as a national financial centre and, then as a regional and international financial centre by implementing right strategies.

This paper characterized field rutting performance of asphalt pavement based on Hamburg wheel tracking (HWT) rut depth. The rut depths were collected from 50 field pavement sections, and co...

The key aroma compounds in smoke-cured pork leg were characterized by gas chromatography&ndash, olfactometry coupled with aroma extract dilution analysis (GC&ndash, O/AEDA), odor activity value (OAV), recombination modeling, and omission tests. Ranking analysis showed that pork leg smoke-cured for 18 days had the best sensory qualities, with strong meaty, smoky, roasty, woody, and greasy attributes. Thirty-nine aroma-active regions with flavor dilution (FD) factors ranging from 9 to 6561 were detected. Overall, 3-ethylphenol had the highest FD factor of 6561, followed by 2,6-dimethoxyphenol, 3,4-dimethylphenol, 4-ethylguaiacol, 4-methylguaiacol, 3-methylphenol, and 2-acetyl-1-pyrroline, with FD &ge, 243. Among 39 aroma compounds, 27 compounds with OAVs &ge, 1 and were potent odorants. A similarity of 90.73% between the recombination model and traditional Hunan Smoke-cured Pork Leg (THSL) sample was obtained. Omission tests further confirmed that (E)-2-nonenal, 2-methoxy-4-vinylphenol, guaiacol, 3-ethylphenol, 2,6-dimethylphenol, 2-acetyl-1-pyrroline, and methional were key odorants in smoke-cured pork leg. Additionally, 2-acetyl-1-pyrroline (38.88 &mu, g/kg), which contributes to a roasty aroma, was characterized here as a key odorant of smoke-cured pork leg for the first time.

Ultrasonic machining is a well-known advanced machining process to machine typical shapes, holes, and micro-features in hard and brittle materials. Interventions of multi-criteria decision-making techniques are required to optimize the process parameters for better part quality, productivity, and sustainability of this type of advanced processes. Implementation of integrated fuzzy–MCRA (multi-criteria ranking analysis) for modeling and optimization of ultrasonic machining process to improve material removal rate and dimensional accuracy during machining of zirconia composites is discussed in this chapter. Investigation results indicate effectiveness of this technique for multi-objective optimization of ultrasonic machining parameters to produce high-quality parts made of composites with excellent productivity.

In recent years, the socially responsible investing (SRI) industry has become an important segment of international capital markets by incorporating ESG (Environmental, Social and Governance) factors into investment selection and management processes. This study analyses whether SRI mutual funds are conventional funds in disguise or invest in line with their ESG objectives. In contrast to other studies, the analysis exclusively focuses on the non-financial performance of SRI vis-a-vis conventional funds and applies ESG corporate ratings of three rating agencies (Oekom, Sustainalytics and ASSET4) to a European and global fund universe. The SRI and non-SRI funds are analyzed with respect to differences in their Top 10 fund holdings, their average ESG rankings and the significance of rating differences by utilizing cross-sectional regressions. At a first glance, the top holdings of both fund types seem very similar, but the results of the ranking analysis show that SRI funds have on average higher ESG rankings. Additionally, the cross-sectional regressions show that the ESG rating differences between SRI funds and conventional funds are significantly positive, i.e. SRI funds exhibit higher ESG ratings than conventional funds. These findings are robust as they hold for every single ESG factor and total scores and as well as across the different ratings applied.

The statistical assessment of the empirical comparison of algorithms is an essential step in heuristic optimization. Classically, researchers have relied on the use of statistical tests. However, recently, concerns about their use have arisen and, in many fields, other (Bayesian) alternatives are being considered. For a proper analysis, different aspects should be considered. In this work we focus on the question: what is the probability of a given algorithm being the best? To tackle this question, we propose a Bayesian analysis based on the Plackett-Luce model over rankings that allows several algorithms to be considered at the same time.