重新审视评价模型:韩国棒球选手工资计算模型(PSCM)

Sung-bae Park, Taegeun Kwon, Jonghwan Jeon
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引用次数: 0

摘要

这项研究的目的有三个方面。首先,它通过添加过去三个赛季(2017年至2019年)球员的现场表现数据,重新审视并更新了主流模型(Park等人,2018年)。其次,通过对比排名前20名球员的实际工资与模型的期望货币值(EMV),验证了修正后的工资计算模型的有效性。最后,对模型进行了详细的阐述和完善,以增强其对韩国市场的适用性。结果显示,韩国棒球协会(KBO)的10支球队的工资都远远超过了要求。此外,根据提出的工资计算模型,SK飞龙队是效率最高的球队(即球队总工资与EMV之间的差异最小),乐天巨人队是效率最低的球队。最后,专家小组建议将工资计算模型作为补充工具使用,因为该模型没有考虑防守位置、领导能力、对胜利的贡献、身体状况、过去的伤病和防守技能等因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation model revisited: Korean baseball Players Salary Calculation Model (PSCM)
The purpose of this study is three-fold. Firstly, it revisits and updates the prevailing model (Park et al., 2018), by adding players’ field performance data from the past three seasons (2017 to 2019). Secondly, it verifies the effectiveness of the modified salary calculation model by comparing the top 20 ranked players’ actual salaries with model Expected Monetary Value (EMV). Lastly, it elaborates and refines the model to enhance its applicability for the Korean market. The results indicate that all 10 Korea Baseball Organization (KBO) teams paid players much more than what was required. Also, according to the proposed salary calculation model, SK Wyverns was the most efficient team (i.e., smallest difference between total team salary and EMV) while Lotte Giants was the least efficient. Finally, expert panels suggest that the salary calculation model be used as a supplementary tool because the model does not count such factors as defensive position, leadership, contribution to winning, physical conditions, past injuries, and defensive skills.
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