Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박성배 | - |
dc.date.accessioned | 2022-02-09T05:28:56Z | - |
dc.date.available | 2022-02-09T05:28:56Z | - |
dc.date.issued | 2020-06 | - |
dc.identifier.citation | IJASS(International Journal of Applied Sports Sciences), v. 32, no. 1, page. 91-99 | en_US |
dc.identifier.issn | 2233-7946 | - |
dc.identifier.issn | 1598-2939 | - |
dc.identifier.uri | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002602153 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/167253 | - |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2017S1A5A2A01025770) | en_US |
dc.language.iso | en | en_US |
dc.publisher | 국민체육진흥공단 부설 한국스포츠개발원 | en_US |
dc.subject | salary calculation | en_US |
dc.subject | expected monetary value | en_US |
dc.subject | leadership | en_US |
dc.subject | field performance data | en_US |
dc.title | Evaluation model revisited: Korean baseball Players Salary Calculation Model (PSCM) | en_US |
dc.type | Article | en_US |
dc.relation.no | 1 | - |
dc.relation.volume | 32 | - |
dc.identifier.doi | 10.24985/ijass.2020.32.1.91 | - |
dc.relation.page | 91-99 | - |
dc.relation.journal | IJASS(International Journal of Applied Sports Sciences) | - |
dc.contributor.googleauthor | Park, Sung-Bae Roger | - |
dc.contributor.googleauthor | Kwon, Tae-Geun | - |
dc.contributor.googleauthor | Jeon, Jong-Hwan | - |
dc.relation.code | 2020041192 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF PERFORMING ARTS AND SPORT[S] | - |
dc.sector.department | DEPARTMENT OF SPORTS INDUSTRY | - |
dc.identifier.pid | srogerpark | - |
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