• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.295-302
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• 2018

The purpose of this study was to empirically examine how the perception of CSR of domestic professional baseball clubs was related to the reputation of clubs, identification of clubs, and parent company image. For the research, a survey was conducted by 277 fans of LG Twins, Doosan Bears, SK Wyverns, and KT Wiz in the metropolitan area. First, the reputation of the club had a positive impact on club reputation. Second, CSR of professional baseball clubs had a positive impact on club identification. Third, the reputation of the club had a positive impact on the image of the professional baseball team. Fourth, the identification of clubs had a positive effect on the image of the professional baseball team's mother-company.

• 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.

• 한국체육학회지인문사회과학편
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• v.55 no.6
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• pp.361-373
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• 2016

The winning rate is the most important indicator for running a professional baseball team because it directly affects the spectator. James(1980) suggests that the Pythagorean method is almost identical to the actual winning rate, which is known as a way of helping to establish a team strategy. In this study, it was analyzed what kind of detail difference produced difference between real winning rate and winning rate based on Pythagorean method for 10 years from 2005 to 2014. The purpose of this study is to derive a plan to improve the performance of Korean professional baseball team. The results show that the expected winning rate differs from the actual winning rate by +.062 to -.054. In the process of this result, records of base on balls of the hitter, strikeout of the hitter, base on balls of the pitcher, batting average, sacrifice fly, etc. were found to affect the performance of professional baseball team. Therefore professional baseball teams should improve their batting eye so they can get a base on balls and reduce strikeouts. In the case of a pitcher, it should be instructed to reduce the base on balls by improving the control.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.1-10
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• 2015

This paper offers some long term perspective on what has been happening to some baseball statistics for Korean professional baseball. The data used are league summaries by year over the period 1982-2013. For the baseball statistics, statistically significant positive correlations (p < 0.01) were found for doubles (2B), runs batted in (RBI), bases on balls (BB), strike outs (SO), grounded into double play (GIDP), hit by pitch (HBP), on base percentage (OBP), OPS, earned run average (ERA), wild pitches (WP) and walks plus hits divided by innings pitched (WHIP) increased with year. There was a statistically significant decreasing trend in the correlations for triples (3B), caught stealing (CS), errors (E), completed games (CG), shutouts (SHO) and balks (BK) with year (trend p < 0.01). The ARIMA model of Box-Jenkins is applied to find a model to forecast future baseball measures. Univariate time series results suggest that simple lag-1 models fit some baseball measures quite well. In conclusion, the single most important change in Korean professional baseball is the overall incidence of completed games (CG) downward. Also the decrease of strike outs (SO) is very remarkable.

• IE interfaces
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• v.17 no.4
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• pp.440-449
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• 2004

The OERA(Offensive Earned-Run Average) is a methodology for the performance evaluation of baseball players, which is based on a well- known Markov chain model. The DEA(Data Envelopment Analysis) is an LP-based evaluation technique for performance analysis of DMUs (Decision Making Units), whose production activities are characterized by multiple inputs and outputs. In this paper, the performances of Korean professional baseball players are analytically evaluated using both OERA and DEA methods. We discuss methodological strengths and drawbacks of two kinds of baseball evaluation techniques, by comparing both results. Finally to overcome the shortcomings of both methods, we develop a new analytical approach for baseball evaluation by combining OERA with DEA.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1477-1485
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• 2016

The Pythagorean theorem for baseball based on the number of runs they scored and allowed has been noted that in many baseball leagues a good predictor of a team's end of season won-loss percentage. We study the convergence characteristics of the Pythagorean expectation formula during the baseball game season. The three way ANOVA based on main effects for year, rank, and baseball processing rate is conducted on the basis of using the historical data of Korean professional baseball clubs from season 2005 to 2014. We perform a regression analysis in order to predict the difference in winning percentage between teams. In conclusion, a difference in winning percentage is mainly associated with the ranking of teams and baseball processing rate.

• Journal of Korea Entertainment Industry Association
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• v.15 no.6
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• pp.93-103
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• 2021

The purpose of this study is to explore changes in future sports by introducing baseball robot umpire. The study was conducted using qualitative research methods, and participants selected five baseball fans who were interested in baseball. The results of the study are as follows. First, baseball fans expressed displeasure with the frequent misjudgment in Korean Professional Baseball game, and doubted the fairness of the umpire's judgment. And repeated misjudgment of professional baseball has contributed to the decline in viewing and viewing of baseball. Second, baseball fans were positive about the introduction of robot umpire as a way to reduce bad calls in baseball games, and considered the accuracy, consistency, and recordability of robot umpire to complement their limitations. Third, the application of baseball robot umpire will serve as a basis for strengthening the fairness and efficiency of baseball games, which will positively change the image of sports. As a result, the introduction of robot umpire in baseball games could exert desirable influence on people and contribute to restoring the ethics of sports and strengthening fairness.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.17-24
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• 2019

In this paper, we propose a new model for predicting effective Win/Loss in professional baseball game in Korea using machine learning technique. we used basic baseball data and Sabermetrics data, which are highly correlated with score to predict and we used the deep learning technique to learn based on supervised learning. The Drop-Out algorithm and the ReLu activation function In the trained neural network, the expected odds was calculated using the predictions of the team's expected scores and expected loss. The team with the higher expected rate of victory was predicted as the winning team. In order to verify the effectiveness of the proposed model, we compared the actual percentage of win, pythagorean expectation, and win percentage of the proposed model.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.41-47
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• 2019

In this paper, we propose a new batter evaluation model that reflects the skill of the opponent pitcher in Korean professional baseball. The model consists of evaluation factors such as Run Value, Contribution Score and Ball Consumption considering the pitcher grade. These evaluation factors are calculated as different data. In order to include the evaluation factors having different characteristics into one model, each evaluation factor is weighted and added. The genetic algorithms were used to calculate the weights, and the data were based on the 2016 records of Korea Professional Baseball and the salary data of the players of 2017. As a result of calculation of the weight, the weight of the Run Value was high and the weight of the Contribution Score was very low. This means that when calculating the annual salary, it reflects much of the expected score according to the batting result of the batter. On the other hand, the contribution score indicating the degree to which the batting result contributed to the victory of the team according to the state of the economy is not reflected in the salary or point system.

• The Journal of the Korea Contents Association
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• v.12 no.8
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• pp.330-342
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• 2012

Most of professional baseball teams are not good for business condition because of operation costs in spite of support of mother company. This study measured the relative efficiency and productivity change of the Korean professional baseball teams using DEA model and Malmquist Index for 2006-2008. The main results of this study can be summarized as follows. First, in case of efficiency of CCR for 2006-2008, the number of efficient professional baseball teams(CCR value is one) are two(Doosan Bears, Samsung Lions), two(Doosan Bears, SK Wyberns), two(Lotte Giants, LG Twins) respectively. Second, in case of efficiency of BCC for 2006-2008, the number of efficient professional baseball teams(BCC value is one) are three(Doosan Bears, Samsung Lions, LG Twins ), four(Doosan Bears, SK Wyberns, Samsung Lions, Kia Tigers), four(Lotte Giants, LG Twins, SK Wyberns, Samsung Lions) respectively. Third, average of Malmquist Index representing productivity change for 2006-2008 are 1.0615, 1.0293 respectively. These values mean increase of productivity. Results of this study can be used by inefficient professional baseball teams to improve inefficiency.