Analysis of countries' performances in individual Olympic Games using cluster analysis and decision trees: the case of Tokyo 2020

星团(航天器) 决策树 地理 决策分析 区域科学 统计 计算机科学 数学 人工智能 程序设计语言
作者
Ahmet Cetinkaya,Serhat Peker,Ümit Kuvvetli
出处
期刊:Sport, business and management [Emerald (MCB UP)]
标识
DOI:10.1108/sbm-12-2023-0151
摘要

Purpose The purpose of this study is to investigate and understand the performance of countries in individual Olympic Games, specifically focusing on the Tokyo 2020 Olympics. Employing cluster analysis and decision trees, the research aims to categorize countries based on their representation, participation and success. Design/methodology/approach This research employs a data-driven approach to comprehensively analyze and enhance understanding of countries' performances in individual Olympic Games. The methodology involves a two-stage clustering method and decision tree analysis to categorize countries and identify influential factors shaping their Olympic profiles. Findings The study, analyzing countries' performances in the Tokyo 2020 Olympics through cluster analysis and decision trees, identified five clusters with consistent profiles. Notably, China, Great Britain, Japan, Russian Olympic Committee and the United States formed a high-performing group, showcasing superior success, representation and participation. The analysis revealed a correlation between higher representation/participation and success in individual Olympic Games. Decision tree insights underscored the significance of population size, GDP per Capita and HALE index, indicating that countries with larger populations, better economic standing and higher health indices tended to perform better. Research limitations/implications The study has several limitations that should be considered. Firstly, the findings are based on data exclusively from the Tokyo 2020 Olympics, which may limit the generalizability of the results to other editions. Practical implications The research offers practical implications for policymakers, governments and sports organizations seeking to enhance their country's performance in individual Olympic Games. Social implications The research holds significant social implications by contributing insights that extend beyond the realm of sports. Originality/value The originality and value of this research lie in its holistic approach to analyzing countries' performances in individual Olympic Games, particularly using a two-stage clustering method and decision tree analysis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
4秒前
HarryYang完成签到 ,获得积分10
6秒前
彩色的芷容完成签到 ,获得积分10
12秒前
WHY完成签到 ,获得积分10
17秒前
ting完成签到,获得积分10
19秒前
轻松笙完成签到,获得积分10
29秒前
潇湘夜雨完成签到 ,获得积分10
35秒前
i2stay完成签到,获得积分10
35秒前
huahua完成签到 ,获得积分10
36秒前
小木林完成签到 ,获得积分10
40秒前
42秒前
长孙归尘完成签到 ,获得积分10
43秒前
李思完成签到 ,获得积分10
47秒前
景代丝发布了新的文献求助10
48秒前
骆丹妗完成签到 ,获得积分10
58秒前
zyw完成签到 ,获得积分10
1分钟前
TT完成签到 ,获得积分10
1分钟前
TiY完成签到 ,获得积分10
1分钟前
范特鹅完成签到 ,获得积分10
1分钟前
噼里啪啦完成签到,获得积分10
1分钟前
乔达摩悉达多完成签到 ,获得积分10
1分钟前
叽里呱啦完成签到 ,获得积分10
1分钟前
派大星完成签到 ,获得积分10
1分钟前
领导范儿应助haochi采纳,获得10
1分钟前
smilly完成签到 ,获得积分10
1分钟前
Aniya_Shine完成签到 ,获得积分10
1分钟前
Jasper应助欣欣采纳,获得10
2分钟前
路在脚下完成签到 ,获得积分10
2分钟前
迅速千愁完成签到 ,获得积分10
2分钟前
chenren完成签到,获得积分10
2分钟前
儒雅的焦完成签到,获得积分10
2分钟前
2分钟前
chase发布了新的文献求助10
2分钟前
泡泡茶壶o完成签到 ,获得积分10
2分钟前
刘溜溜完成签到 ,获得积分10
2分钟前
LiangRen完成签到 ,获得积分10
2分钟前
棒棒完成签到 ,获得积分10
2分钟前
3分钟前
不回首完成签到 ,获得积分10
3分钟前
蚂蚁踢大象完成签到 ,获得积分10
3分钟前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 1000
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 1000
中国荞麦品种志 1000
BIOLOGY OF NON-CHORDATES 1000
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3360133
求助须知:如何正确求助?哪些是违规求助? 2982678
关于积分的说明 8704671
捐赠科研通 2664465
什么是DOI,文献DOI怎么找? 1459080
科研通“疑难数据库(出版商)”最低求助积分说明 675400
邀请新用户注册赠送积分活动 666447