目的:探討第7屆企業排球聯賽選手在排球技術的績效,並提出具體改善目標。方法:運用資料包絡分析法,以參賽選手為決策單位(decision making units,DMU),依照個人獎項分項進行評估,以上場回合為投入項,發球得分、攻擊得分、攔網得分、舉球成功和接發球成功為產出項,並依不同獎項,分別帶入專屬產出變項,進行評估排球選手之績效。結果:績效最佳的選手分別為最佳球員為黃世豪、王明俊、翁侑新;最佳攻擊球員為黃世豪;最佳中間手為江天佑、李耀宗;最佳舉球員為王前鑌;最佳自由球員為林雍順。結論:從投入產出的觀點比較各選手的相對效率,並提出改進目標,驗證資料包絡分析法在排球運動績效評估上,為有效率且可行的研究工具。
Purpose: To investigate the 7th Top Volleyball League players' skill performances, and propose specific improvements. Methods: According to each individual award, researchers use Data Envelopment Analysis (DEA) to evaluate players as Decision Making Units (DMU). Using the sets played as input, each individual award evaluation inserts separate outputs, including scoring serves, scoring spikes, successful block, excellent sets and excellent receptions. Results: the best players are Huang Shi-Hao, Wang Ming-Jun, and Weng You-Xin; the best spiker is Huang Shi-Hao; the best blockers are Jiang Tian-You and Li Yao-Zong; the best setter is Wang Qian-Bin; the best libero is Lin Yong-Shun. Conclusion: After comparing each player's relative output efficiency and proposing specific improvements; we believe the Data Envelopment Analysis Approach is efficient on evaluating volleyball players' skill performances.