Purpose World Cup tournament is one of the most popular international organizations in football. The purpose of this paper is to investigate the overall performance of World Cup 2018 teams via multi-criteria decision-making (MCDM) approaches. Design/methodology/approach The presented approach adopts entropy integrated Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregated Sum Product Assessment (WASPAS) approaches to weight the criteria and evaluate the performance of World Cup 2018 teams. Initially, the authors compute weight criteria via Shannon Entropy method. Then, the authors compute and compare the results of TOPSIS and WASPAS methods so as to evaluate the performance of World Cup 2018 teams. Findings According to TOPSIS and WASPAS results, Belgium has demonstrated better performance in comparison to other teams. As per to the empirical results, both methods have shown a significant harmony in terms of performance figures. There is also strong positive correlation between TOPSIS and WASPAS method results. This result confirms the stability of the analysis. Originality/value This paper contributes to sport performance management literature by using MCDM methods in FIFA World Cup 2018 teams. To the best of the authors’ knowledge, this is the first paper to measure performance of an international football organization via MCDM methods.
Purpose This paper aims to assess the efficiency levels of World Cup teams via the slack-based data envelopment analysis (DEA) approach, which contributes to filling an important gap for performance measurement in football. Design/methodology/approach This study focuses on a comparative analysis of the past two World Cups. The authors initially estimate the efficiency of the World Cup teams via the slack-based DEA approach, which is a novel approach for sports performance measurement. The authors also present the conventional DEA results to compare results. The authors also include improvement ratios, which provide significant details for inefficient countries to enhance their efficiency. Besides, the authors include effectiveness ratings to present a complete performance overview of the World Cup teams. Findings According to the analysis results of the slack-based DEA approach, titleholder Germany and France are found as efficient teams in the 2014 and 2018 World Cup, respectively. Besides, Belgium and Russia recorded the highest efficiency improvement in the 2018 World Cup. The novel approach for sports performance measurement, the slack-based DEA approach, significantly overlaps with the actual performance of teams. Originality/value This study presents novelty in football performance by adopting the slack-based DEA with an undesirable output model for the performance measurement of the World Cup teams. This empirical analysis would be a pioneer study measuring the performance of football teams via the slack-based DEA approach.
Energy and environmental issues have been high on agendas of European Union members since they are intertwined with efforts to mitigate climate change and expand the economy. We intend to analyze the energy and environmental efficiency of EU countries using enhanced data envelopment analysis techniques. First, our study investigates energy efficiencies using the bootstrap DEA technique, which addresses the problem of statistical noise. Further, we examine the environmental and eco-innovation efficiency of EU countries by employing the two-stage superslack-based DEA technique, which is one of the most suitable approaches for modeling undesired output. According to the environmental efficiency findings, the Nordic countries are primarily more efficient whereas, in terms of eco-innovation efficiency, Germany is ranked as the top-performing country. In addition, substantial prospects for improvements exist in the efficiency of the EU countries We may conclude that this research will help policymakers in this area.
Energy is one of the key elements of economies. The maintenance of daily economic activities would not be possible without assurance of energy security, which is also a critical contributor to sustainable energy. The European Union (EU) strives to protect the energy security of its members in order to prevent supply problems or crises. The main purpose of our analysis is to evaluate the energy security of EU countries by analyzing their performance, productivity, and relationship with economic growth. Using hybrid and comparative MCDM and Malmquist productivity approaches, we assess the static and dynamic energy security performance of the EU countries in the period from 2014 to 2018. We use IDOCRIW‐weighted SAW, MARCOS, and CODAS techniques for static performance measurement and the Malmquist productivity approach for dynamic performance evaluation. Considering both static and dynamic performance among developed EU countries, Denmark is found to be superior. Further, the Malmquist productivity index results indicate a slight improvement for developed countries and deterioration for developing countries. According to the panel data analysis, energy security is a factor that leads to economic growth. Consequently, energy efficiency initiatives such as efficiency action plans, hybrid and electric vehicles, and energy storage advancements play crucial roles in enhancing the EU's energy security.
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