臺灣籃球競賽數據分析研究：回顧與前瞻

本研究主要目的在於回顧過去臺灣籃球競賽數據分析研究發展，梳理該領域在學術發展上的脈絡，找出過去研究發展的樣貌及其限制，並試圖勾勒未來研究的發展方向。本文以資料庫分析為概念，利用系統性文獻回顧與內容分析等方法，以國家圖書館全國博碩士論文資料庫、國家圖書館期刊文獻資訊網與華藝線上圖書館中文電子期刊資料庫為範圍，主題關鍵詞為檢索條件，蒐集 165 篇目標文獻，輔以自編之「籃球競賽數據分析主題編碼表」，整理出過去臺灣籃球競賽數據分析研究。就基本屬性、研究趨勢與脈絡、研究工具與研究限制等四大面向進行回顧，並歸納出未來發展的方向。結果顯示於 2005 年至 2009 年期間是臺灣籃球競賽數據分析研究數量提升的重要階段，臺灣籃球競賽數據分析研究議題變得更加多元；在 2015 年後，臺灣籃球競賽數據分析研究的數量與品質提升，出現更多的數據蒐集方式與五花八門的分析方法。本研究結論指出「籃球競賽數據分析研究」的學術發展，已從早期數據、主題較為單一的研究，演進到數據分析的主題、方法與工具日趨多元，研究日趨嚴謹的趨勢。就研究主題方面的發展，也由於籃球競賽數據分析研究本身的複雜性，伴隨當時客觀環境下的特性，使得在主題上的發展具有多元發展的特性。本研究也建議，未來進行籃球競賽數據分析研究時，應注意數據指標與場上事件的關聯性，檢討現有指標且建立新興數據模型，並透過跨領域合作使數據分析在學術研究與實務發展產生連結，共同形塑臺灣籃球競賽數據分析在研究理論的完整形貌，則有助於未來臺灣籃球競賽數據分析在研究上之完整性與重要性。

關鍵字

籃球競賽數據分析；研究現況；資料庫分析；系統性文獻回顧；內容分析

並列摘要

The main purpose of this study was to review the past research and developments of basketball analytics in Taiwan by sorting out the context of academic developments and tried to provide a prospectus for research topics, as well as developed a direction for future studies. This study uses database analyses as a main premise, and employs a systematic literature review and content analysis method. To accomplish this, we used a National Digital Library of Theses and Dissertations in Taiwan (NDLTD) database, NCL Taiwan Periodical Literature (TPL) database, and a Chinese Electronic Periodical Services (CEPS) electronic e-journal database to determine the scope, and selected topic keywords that were used as the search criteria. In total, 165 target documents were found. In addition, this study employs a self-made supplemental tool called “A Coding Sheet for Research Topics in Basketball Analytics Research,” and helps to sort out the research on Taiwanese basketball analytics. This study reviewed four aspects, the basic attributes, including research issues and background, research methods, and research restrictions and summarized the direction of future development. The results clearly explained that from the year 2005 to 2009 was an important period for the improvement of basketball analytics research in Taiwan. The research topics had become much more diverse. After 2015, the quantity and quality of basketball analytics research in Taiwan had improved, and more data collection methods and various analysis methods had used. We conclude that the development of the “Basketball Analytics Research” had evolved from the simple data and research topics to a trend of increasingly diversified data, methods and tools. Because of the complexity nature of basketball analytics, the research topics had multiple developments and possible potentials. This study suggests that attention should notice the relevance of data indicators and events on the court, and existing indicators should be reviewed and emerging data models should be established.