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dc.contributor.author박성배-
dc.date.accessioned2022-02-09T05:28:56Z-
dc.date.available2022-02-09T05:28:56Z-
dc.date.issued2020-06-
dc.identifier.citationIJASS(International Journal of Applied Sports Sciences), v. 32, no. 1, page. 91-99en_US
dc.identifier.issn2233-7946-
dc.identifier.issn1598-2939-
dc.identifier.urihttps://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002602153-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/167253-
dc.description.abstractThe 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.sponsorshipThis 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.isoenen_US
dc.publisher국민체육진흥공단 부설 한국스포츠개발원en_US
dc.subjectsalary calculationen_US
dc.subjectexpected monetary valueen_US
dc.subjectleadershipen_US
dc.subjectfield performance dataen_US
dc.titleEvaluation model revisited: Korean baseball Players Salary Calculation Model (PSCM)en_US
dc.typeArticleen_US
dc.relation.no1-
dc.relation.volume32-
dc.identifier.doi10.24985/ijass.2020.32.1.91-
dc.relation.page91-99-
dc.relation.journalIJASS(International Journal of Applied Sports Sciences)-
dc.contributor.googleauthorPark, Sung-Bae Roger-
dc.contributor.googleauthorKwon, Tae-Geun-
dc.contributor.googleauthorJeon, Jong-Hwan-
dc.relation.code2020041192-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF PERFORMING ARTS AND SPORT[S]-
dc.sector.departmentDEPARTMENT OF SPORTS INDUSTRY-
dc.identifier.pidsrogerpark-


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