A slack-based DEA analysis for the world cup teams

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fazıl Gökgöz ◽  
Engin Yalçın

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.

2019 ◽  
Vol 32 (1) ◽  
pp. 60-74 ◽  
Author(s):  
Sophia Xiaoxia Duan ◽  
Hepu Deng ◽  
Feng Luo

Purpose Effectively evaluating the efficiency of individual e-markets for better understanding the efficiency-oriented critical drivers for individual e-markets is of great significance to the development of electronic business. The purpose of this paper is to develop an approach through adequately integrating data envelopment analysis (DEA) and bootstrapped Tobit regression analysis for identifying the efficiency-oriented critical drivers on the development of e-market in electronic business. Design/methodology/approach A review of the related literature is conducted for adequately formulating the e-market evaluation problem. DEA is appropriately used for assessing the efficiency of available e-markets, leading to the identification of the efficient e-market. Tobit regression analysis is then employed to examine the outcome of the DEA analysis for identifying the efficiency-oriented critical drivers in the development of e-markets in electronic business. Findings A better understanding of the operations of individual e-markets with respect to their overall efficiency in electronic business can be achieved with the use of the developed approach. Such understanding is built on the identification of the efficiency-oriented critical drivers on the development of e-market in electronic business. Originality/value This paper develops a novel approach for better understanding of the operations of individual e-markets with respect to their overall efficiency in electronic business. The adoption of this approach helps existing e-markets improve their efficiency by focussing on the efficiency-oriented critical drivers and provide new players in e-markets with guidelines for developing their efficient e-markets.


2016 ◽  
Vol 40 (6) ◽  
pp. 834-848 ◽  
Author(s):  
Yiyi Yang ◽  
Yuan Wang ◽  
Andrew C. Billings

Purpose The purpose of this paper is to explore online discussions about the 2014 World Cup on the Chinese social media platform Sina Weibo. Because China did not qualify for the World Cup, the study focusses on the role of online discussions surrounding a worldwide international event from an outsider perspective. Doing so will uncover not only the depth of dialogue surrounding issues of nation and sport, but – perhaps more importantly – also aid in uncovering the utility of online platforms in creating online communities even among presumed outsiders. Design/methodology/approach A content analysis of the discussions on Sina Weibo is used to identify differences between fanship comments and non-fanship comments in terms of the focus of the content and the degree of valence. Findings Overall, fans were more likely than non-fans to use positive valence in their comments to enhance the value of the World Cup. Moreover, fans were also more likely to discuss topics closely related to the event itself, such as teams, athletes, and factual information/news about the World Cup, establishing identification with in-group participants. Moreover, the findings also imply important insight regarding electronic commerce opportunities. Originality/value This paper is among the first to investigate the online discussions about World Cup in China. Theoretically, this paper provides a comprehensive framework to examine the online discussions of mega-sporting events in China based on theories of social identity theory and nationalism. Practically, it provides baseline data for the sports industry and public relation practitioners to promote a sports event when the direct nationalistic interests are absent. Moreover, it also aids in uncovering the substantial changes in sports-related communication, experiences, and mediated participation.


Subject Russia's World Cup expenditure. Significance Russia has spent lavishly on its World Cup football stadiums, but the majority of investment has gone into airports and urban transport systems. This useful infrastructure development has been spread around nine regional host cities as well as Moscow and St Petersburg. Impacts The World Cup is unlikely to affect Russia's key adversarial relationships either way. Within the former Soviet region, Russia has gained additional prestige for hosting the World Cup. The absence of football violence will count as a success for Russian policing.


Headline GULF STATES: Crisis could lose Qatar the World Cup


2020 ◽  
Vol 27 (9) ◽  
pp. 2521-2536
Author(s):  
Ahmed Mohamed Habib ◽  
Tamer Mohamed Shahwan

PurposeThe efficient use of organizational resources is integral to the existence of prime firms. This study, using Malmquist data envelopment analysis (DEA), aims to assess in the level of operational and financial efficiency and its determinants for ensuring and sustaining excellent performance in 33 Egyptian private hospitals.Design/methodology/approachThis study adopted a Malmquist DEA approach to assess the changes in operational and financial efficiency in Egyptian hospitals. Tobit regression was also used to identify the significant variables affecting their efficiency. In addition, a sensitivity analysis is carried out for model validations.FindingsOut of 33 hospitals, 17 were found inefficient due to the decline in their technical efficiency. Moreover, the total value of the software programs and operational expenses and the total number of employees are common factors affecting both operational and financial efficiency. In addition, the number of physicians significantly affects the hospital's financial efficiency.Practical implicationsThe study sheds light on the value of using DEA to assess efficiency. DEA in the context of emerging economy such as Egypt's can be a useful tool for decision-makers and practitioners in identifying and addressing performance weaknesses and thus supports continuous improvement in performance.Originality/valueSeveral studies have adopted the DEA approach to assess the overall efficiency of hospitals in Europe and the United States. However, in the MENA region, these studies are uncommon. This study is thought to be one of the earliest attempts to assess hospitals' efficiency in Egypt.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahmoud Abdelrahman Kamel ◽  
Mohamed El-Sayed Mousa

PurposeThis study used Data Envelopment Analysis (DEA) to measure and evaluate the operational efficiency of 26 isolation hospitals in Egypt during the COVID-19 pandemic, as well as identifying the most important inputs affecting their efficiency.Design/methodology/approachTo measure the operational efficiency of isolation hospitals, this paper combined three interrelated methodologies including DEA, sensitivity analysis and Tobit regression, as well as three inputs (number of physicians, number of nurses and number of beds) and three outputs (number of infections, number of recoveries and number of deaths). Available data were analyzed through R v.4.0.1 software to achieve the study purpose.FindingsBased on DEA analysis, out of 26 isolation hospitals, only 4 were found efficient according to CCR model and 12 out of 26 hospitals achieved efficiency under the BCC model, Tobit regression results confirmed that the number of nurses and the number of beds are common factors impacted the operational efficiency of isolation hospitals, while the number of physicians had no significant effect on efficiency.Research limitations/implicationsThe limits of this study related to measuring the operational efficiency of isolation hospitals in Egypt considering the available data for the period from February to August 2020. DEA analysis can also be an important benchmarking tool for measuring the operational efficiency of isolation hospitals, for identifying their ability to utilize and allocate their resources in an optimal manner (Demand vs Capacity Dilemma), which in turn, encountering this pandemic and protect citizens' health.Originality/valueDespite the intensity of studies that dealt with measuring hospital efficiency, this study to the best of our knowledge is one of the first attempts to measure the efficiency of hospitals in Egypt in times of health' crisis, especially, during the COVID-19 pandemic, to identify the best allocation of resources to achieve the highest level of efficiency during this pandemic.


2017 ◽  
Vol 24 (6) ◽  
pp. 1729-1741 ◽  
Author(s):  
Mini Kundi ◽  
Seema Sharma

Purpose The purpose of this paper is to evaluate the efficiency of aluminium firms in India. Design/methodology/approach Different data envelopment analysis (DEA) models have been employed to calculate the various efficiency scores of aluminium firms in India. Findings The major findings of the DEA analysis suggest that 62 per cent firms are found to be technically efficient. Overall, the industry shows good performance with mean technical efficiency levels of 0.936 and 0.911 for VRS and CRS frameworks, respectively. Further, five firms show decreasing returns to scale, signifying the overutilization of plant capacities. Six firms exhibit increasing returns to scale implying underutilization of plants. The results show that domestic firms are more efficient than the foreign firms, young firms are more efficient than young firms and small- and medium-scale firms are more efficient than large-scale firms. Practical implications The results of this study would help the aluminium firms to formulate an appropriate strategy to cautiously use their resources to increase their efficiency levels. Originality/value To the best of authors’ knowledge, no earlier studies seem to have ranked the aluminium firms based on their super-efficiency scores. Further, no previous studies seem to have examined the efficiency differences among aluminium firms across different size, age and ownership groups.


Significance By hosting the event, Japan aims to project to the world an image of a sophisticated, welcoming and culturally open country. Impacts There are unlikely to be any significant security risks during the tournament. Exposure to a global television audience should help Japan expand its tourist industry. Japan reaching the quarter-final stage would go a long way towards ensuring that the tournament is perceived as successful.


2019 ◽  
Vol 10 (2) ◽  
pp. 47-63
Author(s):  
David Keatley ◽  
David D. Clarke

Purpose The purpose of this paper is to outline a variety of related methods for helping with criminal (cold) case investigations. Despite the best efforts of police investigations, many cases around the world run out of leads and go cold. While many police departments around the world have developed specialist groups and task forces, academics have also been developing new methods that can assist with investigations. Design/methodology/approach Cold cases, by their very nature, typically comprise incomplete data sets that many traditional statistical methods are not suited to. Groups of researchers have therefore developed temporal, dynamic analysis methods to offer new insights into criminal investigations. These methods are combined into a timeline toolkit and are outlined in the current paper. Findings Methods from the timeline toolkit have already been successfully applied to many cold cases, turning them back into current cases. In this paper, two real-world cold cases are analysed with methods from the timeline toolkit to provide examples of how these methods can be applied in further cold cases. Originality/value Methods from the timeline toolkit provide a novel approach to investigating current and cold cases. This review provides academics and practitioners with a guide to begin using and developing these methods and forming successful collaborations with police departments and cold case task forces. The methods are also suitable for wider groups and to use in their investigations.


Author(s):  
Sari Silvanto ◽  
Jason Ryan

PurposeThis study aims to empirically examine the most common appeals recommended for use in nation branding campaigns to attract and retain skilled professionals from abroad to enhance a country’s economic competitiveness. To assess this, the authors examine how the image and reputation of a country as a destination and location for talent compare to its actual performance in terms of attracting and retaining skilled professionals. This comparison provides useful insights into the aspects of a country’s reputation that matter most for attracting the talent it needs to enhance its competitiveness.Design/methodology/approachThis study uses a multivariate analysis to examine a sample of 122 countries using secondary data from the World Economic Forum, the World Bank, the UNDP and other non-governmental sources, such as the Martin Prosperity Institute at the University of Toronto. It then tests the results using a sample of 35 OECD countries to assess whether they apply to all types of countries equally.FindingsThe study finds that the two most important factors for ensuring that a country is maximizing its potential to attract skilled professionals are the availability of employment and the degree of ethnic and cultural diversity within the host country. The most important factor for ensuring that a country is maximizing its potential to retain talent, the study finds, is the availability of employment. This does not mean that other factors do not matter, but employment and diversity are crucial for attracting talent from abroad.Research limitations/implicationsThe study also tests the overall results of the study by using a smaller sample of 35 OECD countries. It finds that the availability of employment and high levels of GDP per capita (i.e. wealth) is important for attracting and retaining skilled professionals in more industrially developed countries.Originality/valueThis paper is one of the few empirical studies to examine nation branding to attract and retain talent from abroad to enhance national competitiveness. Its findings suggest that a multifaceted and holistic framework-based approach to nation branding to attract talent, such as that recommended by Silvanto and Ryan (2014), is less likely to work in the short term than an approach which primarily emphasizes employment and diversity.


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