• Title/Summary/Keyword: 한국 프로야구

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Spectator's Value Cognition and Expected-benefit Factors on Professional Baseball Sportstar (프로야구 스포츠스타에 대한 관람자의 가치인식과 추구혜택)

  • Lee, Jong-Young;Ko, Jung-Hee
    • 한국체육학회지인문사회과학편
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    • v.51 no.3
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    • pp.79-88
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    • 2012
  • The purpose of this study was to find spectator's value cognition and expected-benefit factors on professional baseball sportstar. Purposeful Sampling method was used to select among fan club leaders and people who had watched baseball games over ten years 8 informants who watched more than 4 times in 6 baseball games in 2011 Lotte Card Professional Baseball League. Data collection relies on focus group interviews and in-depth interviews. Text analysis was attempted to adopt the A-R-C needs theory proposed by Thomson(2006) for spectator's value cognition and the metaphors for consuming by Holt(1995) for expected-benefit factors. The research summary is as follow: Spectator's value cognition on professional baseball sportstar were an object of entertainment-oriented value, a major figure for social relationship-oriented and an object of identical. Spectator's expected-benefit factors on professional baseball sports tar were confirmation of values and heroic orientation. Meanwhile, spectator who had entertainment-oriented value cognition on professional baseball sportstar expect heroic orientation, who recognize professional baseball sportstar a major figure for social relationship-oriented and an object of identical pursue confirmation of values.

운동 플러스 - 돌아온 야구붐, 취미생활과 건강관리를 동시에!

  • Choe, Ga-Yeong
    • 건강소식
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    • v.36 no.9
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    • pp.34-35
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    • 2012
  • 바야흐로 가을야구의 시즌이 다가왔다. 제2의 황금기를 맞은 한국프로야구의 인기는 날로 높아져 하늘을 찌를 기세다. 최근 몇 년간 이러한 분위기에 힘입어 직접 야구를 플레이하고자 '아마추어 사회인 야구'에 입문하는 사람들이 속속 늘어나고 있다. 사회인 야구는 전문선수가 아닌 일반 성인층으로 구성된 야구경기를 지칭한다. 참여하는 연령층도 다양하고 즐거운 취미생활과 건강관리를 동시에 할 수 있는 장점이 있다.

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Scheduling for Korean Professional Baseball League Using Simulated Annealing : A case study (시뮬레이티드 어닐링 기법을 이용한 한국 프로야구 리그 일정계획)

  • Jeon, Ji-Won;Lee, Jin-Ho;Lee, Yeong-Hun
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.05a
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    • pp.528-532
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    • 2005
  • 한국 프로야구 일정계획은 SLSP(Sports League Scheduling Problem)분야의 문제로서 전형적인 조합최적화 문제이다. 본 연구는 한국 프로야구 일정계획 문제의 제약 조건을 분석하고, 다양한 목적함수에 대해 검토하였다. 또한 이를 효과적으로 풀기 위하여 TTSA(Simulated Annealing for the Traveling Tournament)을 사용하였다. TTSA는 TTP(Traveling Tournament Problem) 문제를 풀기 위해 제안된 방법으로 가능해와 비가능해 영역을 동시에 탐색하여 빠른 시간 안에 좋은 해를 구할 수 있다. 실험은 2005년도 한국 프로야구 리그 일정을 바탕으로 하였으며, 그 결과 팀들의 이동 거리의 총합 최소화, 가장 이동거리가 긴 팀의 이동거리 최소화, 팀 간의 이동거리차이 최소화 측면에서 각각 14%, 22%, 21% 더 좋은 일정을 얻을 수 있었다.

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An Analysis on the Value of Korea Professional Baseball as TV Contents (TV콘텐츠로서의 한국프로야구 가치분석)

  • Chung, Ji-Gyu
    • The Journal of the Korea Contents Association
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    • v.14 no.4
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    • pp.379-388
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    • 2014
  • This study analyzed the status of Korean professional baseball as TV contents utilizing ratings. For the purpose of the study, Korea professional baseball's relative status to other genres though ratings is investigated. For this study, ratings per minute for the whole cable TV channel viewer ratings in 2010 were analyzed, and the following is the result of comparing and analyzing ratings per genre and channel of cable TV. Among 11 genres, drama showed the highest rating, and entertainment, movies, kids, news/reports, sports, music, etc followed. Drama and entertaining channels showed the highest ratings and sports did not show any high ranking. However, when analyzing times for broadcasting Korean professional baseball separately, Korean professional baseball in both genre and channel showed the highest r ratings and it was significant statistically. Thus, it is considered that Korean professional baseball is the most valuable contents for the related cable TV times.

Analyses of Spectators' Expenditure Determinants in a Professional Baseball Team (프로야구 관람객의 소비지출 결정요인 분석)

  • Cho, Woo-Jeong;Choi, Eui-Yul
    • 한국체육학회지인문사회과학편
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    • v.55 no.1
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    • pp.457-467
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    • 2016
  • Understanding professional baseball fans' expenditure is expected to provide fundamental marketing information that help increase each team's marketing profits and values and produce a better economic impact on its community. In this regard, this study employed a survey method with a total of 372 residents located in Changwon. A questionnaire included factors such as demographics, consumption patterns and perceived socio-psychic effect(PSE), all of which were derived from literature review. A binary logistic regression was modeled with a dichotomous dependent variable, expenditure(30,000 won more or less). The following were input in the model as the independent variables in order to see the relationships; gender, marriage, education, occupation, income, location, age, leisure type, distance, companion, transportation, interest, and PSE. The results of the logistic regression analysis are as follows. Overall, the model was statistically significant, χ²(21, N=372)=59.159, p=.000. Cox and Snell R² was reported as .147 and .200 respectively. So, the model accounted for between 14.7% and 20.0% of the variation in expenditure. Among the independent variables, income, location, companion, and PSE were found to be the significant factors to expenditure. For income, subjects with 2 million won less of income, compared to those with 4 million won more, were .38 times less likely to pay the money of 30,000 won more. For location, subjects in Masan, compared to those in Jinhae, were 3.49 times more likely to pay 30,000 won more. Subjects in Changwon, compared to those in Jinhae, were 3.05 times more likely to pay 30,000 won more. For companion, people visiting the stadium alone, compared to those with friends/colleague, were .36 times less likely to pay 30,000 won more. For PSE, the odds of 30,000 won more paid increased by 1.37 times with one-unit increase in PSE.

The Study of Selecting Pitcher using Data Mining on Professional Baseball Game Simulator (데이터마이닝을 이용한 프로야구 경기 시뮬레이터에서의 투수 선정 방법에 대한 연구)

  • 정지문;박혜원;최성
    • Proceedings of the KAIS Fall Conference
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    • 2000.10a
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    • pp.370-374
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    • 2000
  • 야구 경기에서는 한 경기에 여러 투수가 등판하게 되는데, 상황에 따라 성격이 다른 투수가 공을 던지게 된다. 이러한 등판 투수의 선정은 감독 고유의 권한이며 감독이 오랜 경험을 통해 승리하기 위해 최적의 투수를 선정하게 된다. 본 논문은 그러한 감독의 경험을 학습하기 위하여 프로야구 경기에서 발생하는 기록 데이터를 데이터마이닝을 이용하여 분석한 후, 앞으로 열릴 경기에 등판할 투수를 미리 예측할 수 있는 방안에 대하여 연구하였다.

Analysis of the Korean Baseball League using a Markov Chain Model (마르코프 연쇄를 이용한 한국 프로야구 경기 분석)

  • Moon, Hyung Woo;Woo, Yong Tae;Shin, Yang Woo
    • The Korean Journal of Applied Statistics
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    • v.26 no.4
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    • pp.649-659
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    • 2013
  • We use a Markov chain model to analyze the Korean Baseball League. We derive the distributions of the number of runs scored and the number of batters that complete their turn at bat in a baseball game using the time inhomogeneous Markov chain. The model is tested with real data produced from the 2011 Korean Baseball League.

Forecasting attendance in the Korean professional baseball league using GARCH models (일반화 자기회귀 조건부 이분산 모형을 이용한 한국프로야구 관중수의 예측)

  • Lee, Jang-Taek;Bang, So-Young
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.6
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    • pp.1041-1049
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    • 2010
  • In Korean professional baseball, attendance is the largest source of revenue for development of professional baseball and the highest concern of professional baseball teams. So, if there is demand forecasting model, it will be helpful for pennant chasers to work out the strategies for drawing attendance. For this reason, this research intends to suggest the model which estimates Korean professional baseball's attendance and uses all usable variables which have an effect on attendance in limited circumstances. We supposed that dependent variable is attendance as well as several independent variables and error term are homoscedastic variance. And then, we compared the models which assume conditional heteroscedastic variance like GARCH and EGARCH with GARCH-t models which use the assumption that error term's distribution follows student-t distribution. In result of that, we could confirm that the models which were made by using GARCH(1,1)-t made estimates the most accurately among the several models considered.

Professional Baseball Viewing Culture Survey According to Corona 19 using Social Network Big Data (소셜네트워크 빅데이터를 활용한 코로나 19에 따른 프로야구 관람문화조사)

  • Kim, Gi-Tak
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.6
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    • pp.139-150
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    • 2020
  • The data processing of this study focuses on the textom and social media words about three areas: 'Corona 19 and professional baseball', 'Corona 19 and professional baseball', and 'Corona 19 and professional sports' The data was collected and refined in a web environment and then processed in batch, and the Ucinet6 program was used to visualize it. Specifically, the web environment was collected using Naver, Daum, and Google's channels, and was summarized into 30 words through expert meetings among the extracted words and used in the final study. 30 extracted words were visualized through a matrix, and a CONCOR analysis was performed to identify clusters of similarity and commonality of words. As a result of analysis, the clusters related to Corona 19 and Pro Baseball were composed of one central cluster and five peripheral clusters, and it was found that the contents related to the opening of professional baseball according to the corona 19 wave were mainly searched. The cluster related to Corona 19 and unrelated to professional baseball consisted of one central cluster and five peripheral clusters, and it was found that the keyword of the position of professional baseball related to the professional baseball game according to Corona 19 was mainly searched. Corona 19 and the cluster related to professional sports consisted of one central cluster and five peripheral clusters, and it was found that the keywords related to the start of professional sports according to the aftermath of Corona 19 were mainly searched.

Predicting Win-Loss of Professional Baseball Game by Using Data Mining Techniques (데이터마이닝 기법을 이용한 프로야구 경기 승패 예측)

  • Kim, Jun-Woo;J, Da-Seol
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.241-242
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    • 2018
  • 야구 관람객들은 주로 자기가 선호하는 팀의 경기나 이길 가능성이 높은 경기를 관람하고자 한다. 때문에 시중에 지난 경기, 당일의 경기, 미래 경기에 대한 정보를 얻을 수 있는 KBO 사이트와 경기 승/패를 예측하기 위한 정보를 얻을 수 있는 사이트에서 경기 기록에 대한 정보를 얻어 관람 일을 결정하는데 도움을 얻는다. 따라서 본 연구에서는 데이터마이닝을 통하여 프로야구 팬들이 특정 팀의 승/패를 예측하는데 사용할 수 있는 유용한 규칙과 패턴을 도출해보고자 한다.

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