足球队多标准决策的比较分析——以国际足联世界杯为例

IF 1.6 Q3 MANAGEMENT

Team Performance Management Pub Date : 2021-06-01 DOI:10.1108/TPM-05-2020-0039

F. Gökgöz, Engin Yalçın

{"title":"足球队多标准决策的比较分析——以国际足联世界杯为例","authors":"F. Gökgöz, Engin Yalçın","doi":"10.1108/TPM-05-2020-0039","DOIUrl":null,"url":null,"abstract":"\nPurpose\nWorld 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.\n\n\nDesign/methodology/approach\nThe 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.\n\n\nFindings\nAccording 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.\n\n\nOriginality/value\nThis 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.\n","PeriodicalId":46084,"journal":{"name":"Team Performance Management","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A comparative multi criteria decision analysis of football teams: evidence on FIFA world cup\",\"authors\":\"F. Gökgöz, Engin Yalçın\",\"doi\":\"10.1108/TPM-05-2020-0039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nWorld 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.\\n\\n\\nDesign/methodology/approach\\nThe 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.\\n\\n\\nFindings\\nAccording 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.\\n\\n\\nOriginality/value\\nThis 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.\\n\",\"PeriodicalId\":46084,\"journal\":{\"name\":\"Team Performance Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Team Performance Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/TPM-05-2020-0039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Team Performance Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/TPM-05-2020-0039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}

引用次数: 6

摘要

世界杯足球赛是足球界最受欢迎的国际组织之一。本文的目的是通过多标准决策（MCDM）方法调查2018年世界杯球队的整体表现。设计/方法论/方法所提出的方法采用与理想解相似的订单偏好熵集成技术（TOPSIS）和加权聚合和乘积评估（WASPAS）方法来加权标准并评估2018年世界杯球队的表现。最初，作者通过香农熵方法计算权重标准。然后，作者计算并比较了TOPSIS和WASPAS方法的结果，以评估2018年世界杯球队的表现。根据TOPSIS和WASPAS的结果，与其他球队相比，比利时队表现更好。根据实证结果，两种方法在性能数据方面都表现出显著的和谐。TOPSIS和WASPAS方法的结果之间也存在很强的正相关性。这一结果证实了分析的稳定性。独创性/价值本文通过在2018年国际足联世界杯球队中使用MCDM方法，为体育绩效管理文献做出贡献。据作者所知，这是第一篇通过MCDM方法衡量国际足球组织表现的论文。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A comparative multi criteria decision analysis of football teams: evidence on FIFA world cup

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Team Performance Management MANAGEMENT-

CiteScore

3.40

自引率

29.40%

发文量

期刊介绍： This international journal contributes to the successful implementation and development of work teams and team-based organizations by providing a forum for sharing experience and learning to stimulate thought and transfer of ideas. It seeks to bridge the gap between research and practice by publishing articles where the claims are evidence-based and the conclusions have practical value. Effective teams form the heart of every successful organization. But team management is one of the hardest challenges faced by managers.