• Journal of the Korea Safety Management & Science
• /
• v.15 no.2
• /
• pp.255-262
• /
• 2013

Due to the competition between the various professional events, it is imperative for the team's management to improve efficiency by removing the inefficiencies of the professional team in order to gain a competitive edge. This study use different Data Envelopment Analysis (DEA) models to measure the efficiency of professional sport organizations. In this mathematical-analytical study, this study first reviews the related literature to analyze the input/output variables. In the end, the variables were detected and the data for this study were gathered from the Korean Basketball League (KBL). While previous studies examine relative efficiency of Korean Professional baseball teams by using CCR model, this study fully utilize the DEA method to investigate Korean professional sports organizations' operating problem. Thus, this study propose full results of DEA analysis such as efficiency score (overall, technical, and scale efficiency), slacks in inputs and outputs of inefficient organizations, Malmquist index) As a result, this study provides not only the exact productivity information of a team and a way of improving a firm's productivity with a decision maker.

• Journal of Fashion Business
• /
• v.27 no.6
• /
• pp.18-36
• /
• 2023

Although an extensive body of research exists on sports uniform colors in the West,there is a dearth of research on South Korean sports uniforms, especially in the domain of professional teams ports. This study aims to identify and analyze the colors of sports uniforms of 56 professional teams listed on the Korea Professional Sports Association (KPSA) for a range of team sports (e.g. football, baseball, basketball, volleyball, and golf). The number of colors of each team's uniform and the ordinal ranking of these colors were recorded and analyzed. Furthermore,the number of colors and parent company colors were grouped by gender and league. Overall, 80.4% of the teams preferred three to four colors with white, black, blue, and red being the most popular colors. Every team's primary, secondary, or graphic logo colors on their uniforms included white. The gender variable was partially significant, emphasizing culturally significant colors such as pink. The parent company's color showed a significant connection with the team's uniform colors. This result was related to the historical origins of South Korean professional team sports and their unique relationship with chaebols. Based on the findings, this study concludes that visibility and contrast factors, as well as historical aspects relating to the concept of glocalization play an important role in the color choices of South Korean team uniforms.

• Korean Journal of Applied Biomechanics
• /
• v.16 no.1
• /
• pp.81-88
• /
• 2006

Present study is to know the relation with throwing speed according to the uniform torque by the shoulder joint, over 20 persons of professional baseball, and were measured the uniform torque by the shoulder joint accordance with throwing speed between (A-low speed) and (B-high speed) of each group. In the present study, three components were measured, and analyzed with having an approximated output value appearing by changing angular velocity, and in $30^{\circ}/sec$, the maximum strength of muscles was measured, and in$210^{\circ}/sec$, the points of endurance strength of muscles were measured and analyzed, and the following result could be obtained. 1. In muscles strength (peak torque)of inner rotation, and outer rotation for respect to each speed of shoulder joint, though there did not appear outstanding difference between A group and B group in the $30^{\circ}/sec$, it showed that group B has priority in a little. Also in outer rotation by shoulder joint, though there appeared the same difference between A group and B group, B group is tended to be prior to A group in a little. 2 In the view of muscles strength (peak torque)of inner rotation, and outer rotation for respect to each speed of shoulder joint, though there did not appear outstanding difference between A group and B group in the $30^{\circ}/sec$, it showed that group B has priority in a little. Also in outer rotation by shoulder joint, though there appeared the same difference between A group and B group, B group is tended to be prior to A group in a little. 3. In the view of muscles strength(peak torque)of inner rotation, and outer rotation for respect to each speed of shoulder joint, though there did not appear outstanding difference between A group and B group in the $30^{\circ}/sec$, it showed that B group has priority in a little. Also in outer rotation by shoulder joint, though there appeared the same difference between A group and B group, B group is tended to be prior to A group in a little. 4. In the view of peak torque for respect to the weight accordance with each velocity of shoulder joint, there did not appear outstanding difference between A group and B group. In outer rotation by the shoulder joint, there was not appeared clear difference between A group and B group. 5. In the concern of the peak torque for respect to the weight accordance with each velocity of shoulder joint, there did not appear outstanding difference between A group and B group in $30^{\circ}/sec$. In outer rotation by the shoulder joint, there was not appeared clear difference between A group and B group. 6. In the concern of the peak torque for respect to the weight accordance with each velocity of shoulder joint, there did not appear outstanding difference between A group and B group in $210^{\circ}/sec$. In outer rotation by the shoulder joint, there was not appeared clear difference between A group and B group. As conclusion, there did not appear a correlation of uniform torque by shoulder joint versus the speed throwing by a pitcher of professional base ball.

• The Journal of Bigdata
• /
• v.5 no.2
• /
• pp.77-84
• /
• 2020

In this study, we conducted a study on the win-loss predicton analysis of korean professional baseball by artificial intelligence models. Based on the model, we predicted the winner as well as each team's final rank in the league. Additionally, we developed a website for viewers' understanding. In each game's first, third, and fifth inning, we analyze to select the best model that performs the highest accuracy and minimizes errors. Based on the result, we generate the rankings. We used the predicted data started from May 5, the season's opening day, to August 30, 2020 to generate the rankings. In the games which Kia Tigers did not play, however, we used actual games' results in the data. KNN and AdaBoost selected the most optimized machine learning model. As a result, we observe a decreasing trend of the predicted results' ranking error as the season progresses. The deep learning model recorded 89% of the model accuracy. It provides the same result of decreasing ranking error trends of the predicted results that we observe in the machine learning model. We estimate that this study's result applies to future KBO predictions as well as other fields. We expect broadcasting enhancements by posting the predicted winning percentage per inning which is generated by AI algorism. We expect this will bring new interest to the KBO fans. Furthermore, the prediction generated at each inning would provide insights to teams so that they can analyze data and come up with successful strategies.

• 한국체육학회지인문사회과학편
• /
• v.55 no.1
• /
• pp.457-467
• /
• 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 Academic Congress of Korean Shoulder and Elbow Society
• /
• 2002.03a
• /
• pp.121-122
• /
• 2002

• Proceedings of the KAIS Fall Conference
• /
• 2000.10a
• /
• pp.370-374
• /
• 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.

• Journal of Information Technology Applications and Management
• /
• v.20 no.4
• /
• pp.207-219
• /
• 2013

The study examined relational marketing in terms of transaction specific satisfaction and cumulative satisfaction in the professional sport industry. The study evaluated the motivation of spectators visiting professional baseball games in 2012 and the satisfaction factors of relationship marketing. In this study, the satisfactions were considered in terms of single satisfaction associated with transaction and gradual satisfaction associated with customer loyalty. The relationship marketing was established considering each factor of marketing strategies, facility, game performance and entertainment. The study categorized the factors for customers to visit games as facility, game performance and entertainment with marketing strategies. The study found out that the customer satisfaction was related with both transaction specific satisfaction and cumulative satisfaction where cumulative one is longer term related. Moreover, cumulative satisfaction will be more related with the long term team financial performance.

• The Korean Journal of Applied Statistics
• /
• v.29 no.7
• /
• pp.1283-1294
• /
• 2016

We studied fielding indices to explain runs lost for Korean professional baseball teams, successively motivated by OPS and weighted OPS obtained by combining on-base percentage and slugging average that can adequately explain the run productivity of teams. We considered several combined indices made by combining fielding indices highly correlated with the runs lost of teams. Data analysis from all games in the regular seasons of 1982-2015 shows that weighted adjusted WPH 2 (defined as weighted average of adjusted WHIP and number of home runs allowed per inning) best explains runs lost. Weighted adjusted WPH 2 consisting of adjusted WHIP (with weight 34%) and number of home runs allowed per inning (with weight 66%) was found to be optimal weighted adjusted WPH 2 having correlation coefficient 0.95362 with average runs lost per game. This result is an improvement of the result of the index obtained in Kim and Kim (2015a). Analysis by chronological periods provides results that are not much different. Also we made a list of top 10 pitchers for each of the recent three years, based on the obtained index.

• Journal of the Korean Data and Information Science Society
• /
• v.27 no.3
• /
• pp.663-676
• /
• 2016

In Korean professional baseball the championship team of the year is determined by the four series of games: semi-semi-playoff, semi-playoff, playoff and korean series. To the top 5 teams in a regular season privileges are given to play the games at post season. At semi-semi playoff the winner of two teams which are ranked at 4th and 5th place in the regular season can advance to the game of semi playoff. The winner at semi playoff advances to the playoff to play with the second place team in the regular season. Finally, the championship team is to be determined in the Korean series between the winner of the playoff and the first ranked team in the regular season. We propose methods of how to calculate the winning probabilities of each of high ranked 5 teams advancing to Korean series. From our proposed methods we can estimate the championship probabilities of each of high ranked 5 teams advancing to the Korean series only if we know the winning probabilities between two teams in the regular season or the post season.