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國立臺灣師範大學 國際人力資源發展研究所 葉俶禎所指導 溫特琴的 A Qualitative Study Exploring the Migratory Push-Pull Factors of American Basketball Players Playing in the Chinese Basketball Association (2018),提出RealGM關鍵因素是什麼,來自於globalization、sports labor migration、basketball、push-pull factors。

而第二篇論文國立交通大學 科技管理研究所 林亭汝所指導 廖俊淵的 運用決策樹分析NBA球隊高勝率之關鍵因素 (2016),提出因為有 大數據、資料探勘、決策樹、特徵選擇的重點而找出了 RealGM的解答。

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A Qualitative Study Exploring the Migratory Push-Pull Factors of American Basketball Players Playing in the Chinese Basketball Association

為了解決RealGM的問題,作者溫特琴 這樣論述:

This qualitative study examined and analyzed the migration factors that influenced professional American basketball players to move and compete in China, specifically the push-pull factors that contributed to their migration to the Chinese Basketball Association (CBA). Although basketball is a well

-studied and highly popular sport, the CBA is one of the least studied professional leagues in terms of sports migration theory research, yet has a sizable international labor force, especially American basketball players. This study was built upon the theoretical framework of previously researched

sports labor migration, which assisted the data analysis process. The sample of this study included ten professional American basketball players who played in the CBA during the 2017-2018 season, many of whom have played in the NBA. This qualitative research used in-person, semi-structured interview

s, with questions focused on the push-pull factors, such as the reasons to why they migrated to China and their experiences playing in the CBA. Based on the results of this study, the data uncovered some major trends: firstly, American basketball players leave the U.S. because of lack of playing opp

ortunities, secondly, China has a desirable competition league for American basketball players, along with substantial financial gains, thirdly, the structure of the league, primarily the season length, proved to be a great pull factor for the CBA, and lastly, the CBA still can improve as it conside

rs expanding and adding more teams.

運用決策樹分析NBA球隊高勝率之關鍵因素

為了解決RealGM的問題,作者廖俊淵 這樣論述:

This research use decision tree method as a tool to identify the factors that cause winning and losing. The experiment will be considering the NBA data for the past ten years to explore the criteria why those competitive teams could win more than 50 games in a season. The results showed that FG and

DRB influences a team whether getting 50 wins in a season. Also, the combination on Pace and DRB has an impact on winning percentage. Meaning that coaches and trainers should be focusing on how to score easy points and grab rebounds as many as they could, rather than passing excessively and cause u

nnecessary turnovers. Another way of winning is to form Big 3s. Big 3s often include a guard who focuses on controlling the pace, and a forward who focuses on scoring, and a center who can manage to secure rebounds. It fully covers the main reasons that wins a game and the average age of the Big 3 p

layers are often around thirty and are experienced. Overall, these results may benefit sports clubs to reform their team structure and readjust strategies.