Purpose This study reviewed the seriousness of the Match-fixing through the mixed research methods of the big data analysis (quantitative) and the focus group interview (qualitative) using the keyword, ‘Match-fixing’ and discusses the cautious and comprehensive basic direction for coping with negative issues and preventing recurrence. Methods For the quantitative research method, Naver and Daum were used as the analysis channel and the main keywords selected for the data search were ‘Match-fixing’ and ‘Match-fixing+(measures/eradication/solution)’. The data collection period was limited from January 1, 2010 to December 31, 2016. In addition, for the qualitative research method, 6 homogeneous groups (experience, interest, knowledge) related to the research topic were constructed and interviewed using purposive(intentional) sampling. Results First, five factors (emotion, participant, cause, punishment, countermeasure) were categorized by big data analysis. Second, through Focus Croup interview, additional keywords for three factors (emotion, participant, countermeasure) were derived. Conclusions Therefore, it is required that various preventive measures such as emotional reward for negative emotion, preventive and ethical education, advancement of sports, establishment of Match fixing committee, Expert training are needed.
[Purpose] The purpose of this study was to identify research trend regarding pro-sports and visualize keyword network by using semantic network analysis. [Methods] After searching researches about pro-sports from 1994 to 2016, total 686 researches selected. In this process, inappropriate researches were excluded by 2 researchers’ consensus. [Results] First, the distribution of the number of researches were arranged on pro-baseball, pro-football, pro-basketball, and pro-volleyball in that order. Second, fan, team, and athletes were main research subject. Third, quantitative researches were dramatically more than qualitative researches and mixed method researches. Forth, the proportion of co-working have increased with the course of time. Fifth, the number of keyword which are appeared in researches has increased with the course of time, it dramatically was increased at 2010. [Conclusion] Through these results, researches regarding pro-sports have been broaden with the course of time and interdisciplinary convergence researches with adjacent fields were performed. However, some keyboards were repeated and academic interest about rare keywords was decreased with the course of time. Therefore, scholars in sports field need to have a inquiring stance about novel variables and phenomenons
PURPOSE This study aimed to investigate user perceptions regarding the mobile healthcare application of public health centers by using big data. METHODS The study data included 1,089 users’ reviews (from September 27, 2016 to December 23, 2021), which were analyzed using Python, Textom, KrKwic, UCINET 6, and the Net-draw program. RESULTS First, the evaluation of the application showed a higher number of “Good” responses (677 times) compared to “Bad” (329 times) and “Normal” responses (83 times). Second, network structures related to “Good” were “Like,” “Health care,” “Help,” “A sense of purpose,” “Grateful,” “Diet management,” “Exercise management,” “Easy,” “Recommendation,” “Satisfaction,” “Diet,” “Useful,” and so on. Third, network structures related to “Bad” were “Execution error,” “Request improvement,” “Question,” “Slow speed,” “Interlocking error,” “Lack of food type,” “Login error,” “Inconvenience,” “Delete and reinstall,” “Update error,” “Irritation,” “Connection error,” “Problem occurred,” “Direct input request,” “Not available,” “Waste of stars,” “Lack of function,” “Not enough,” “Stuffy,” “Lack of exercise,” and so on. Fourth, as a result of structural equivalence analysis, four clusters appeared: cluster 1 (negative function), cluster 2 (negative emotion), cluster 3 (positive function), and cluster 4 (positive emotion). CONCLUSIONS It is necessary to respond quickly in order to reflect on the users’ reviews, and active efforts are required to improve the program quality so that users can use it conveniently.
Purpose The purpose of this study was to examine the changing trends of swimsuit perception by using SNS big data. Methods By using “swimsuit” and “swimsuit brand” as key words, data was searched through blogs, cafes, Jisiksin(Tip), news, and web documents provided by naver and daum. This study used 2 years of data from January 1st, 2014 to December 31st, 2015 and social matrix program Textom was used for extracting matrix data and analyze them for frequency. To visualize data networking, NetDraw of UCINET6 program was used. Results Through analyzing the popular link words to the key words, it was known that the key words were 'swimsuit brand', 'children's swimsuit', 'rash guard', 'women's swimsuit', and 'model' in the order in 2014, and ‘swimsuit brand', 'rash guard', 'children's swimsuit', 'women's swimsuit', and 'Arena’ in the order in 2015. Second, the median of connectivity values showed that it was high in ‘swimsuit brand', 'women's swimsuit', 'children's swimsuit', 'rash guard', and 'Arena’ in the order in 2014, and ‘swimsuit brand', 'rash guard', 'women's swimsuit', 'children's swimsuit', and 'Arena’ in the order in 2015. Third, th results of CONCOR analysis demonstrated that ‘female customer’, ‘couple swimsuit’, 'rash guard', ‘brand’, 'children's swimsuit', and ‘fashion’ were grouped in 2014, and ‘brand’, ‘fashion’, 'rash guard', ‘purchase factor', and 'children's swimsuit' were grouped in 2015.
PURPOSE This study aimed to identify the factors influencing the success of the sports entertainment program “A Clean Sweep” using big data analysis. METHODS Text mining, sentiment analysis, TF-IDF, connection centrality, and semantic network analysis were conducted using the social big data analysis program Textom and social network analysis program Ucinet6. The research period was limited from June 6, 2022 to November 30, 2023. RESULTS The factors determining success were entertainment programs, Monday, OTT, and independent league. The events and marketing factors were extracted, and A Clean Sweep X Kelly, A Clean Sweep X Mom love, cheering song, uniforms, and direct viewing day influenced success. The new hire factors were rookie draft, Young-Mook Hwang, Sung-Joon Won, and Hyun-Soo Jeong. Positive (such as good, fun, looking forward to, best, and funny) and negative (such as esoteric, regrettable, shocking, dislike, and uncomfortable) emotional factors were also extracted. The extracted star marketing factors were directors (Seung-Yup Lee, Sung-Geun Kim) and players (Dae-Ho Lee, Geun-Woo Jung, Hee-Kwan Yoo, Moon-Ho Kim, Yong-Taek Park, Taek-Geun Lee). CONCLUSIONS We were able to identify the success factors of “A Clean Sweep”, which we hope will contribute to the revitalization of professional baseball as well as sports entertainment programs.
PURPOSE The purpose of this study was to understand the current market trend for golf apparel rental services and to present basic data to revitalize the golf apparel rental service market and prepare continuous growth plans. METHODS The following keywords were selected for data collection: "golf wear + rental (렌탈)," "golf wear + rental (대여)," "golf apparel + rental (렌탈)," and "golf apparel + rental (대여).“ The analysis period was limited to two years and seven months from January 1, 2020 to July 31, 2022, when COVID-19 began. The analysis was focused on the top 60 keywords to simplify the network. RESULTS Various keywords were extracted through text mining, TF-IDF, connection centrality, emotional analysis, and semantic network analysis of big data analysis. These were then categorized into four factors: “golf apparel rental service,” “self-expression and authentication,” “sharing economy,” and “emotion.” CONCLUSIONS The results of this study show that young golfers are unreluctant and are generally positive in renting golf apparel. Therefore, if the growing paradigm of the consumption behavior of MZ-generation golfers is recognized and analyzed and the requirements are continuously satisfied through various strategies, there will be a higher possibility to help expand the golf apparel rental market.
