隨著2022年生成式人工智慧（AI）的崛起，對於雲端存取和計算量的需求大幅提升，全球伺服器市場正快速擴展，臺灣伺服器供應鏈涵蓋晶片製造到組裝等各個層面，顯示其產業鏈的完整性，於此同時，臺灣伺服器產業也同樣面臨疫情時期挑戰，如交貨延遲和零組件短缺，以及臺灣就業人口短缺等問題。
本研究主旨為探討臺灣伺服器產業的整體績效，使用SBM模型(Slacks Based Measure)來評估2018年至2022年臺灣20家伺服器公司之產業績效，選取員工人數、研究發展費用為投入項目，營業收入、無形資產及每股盈餘為產出項目，並以固定資產作為存在期連結項。研究結果顯示(一) 五年間，臺灣20家伺服器公司的平均整體績效為0.40。其中，譜瑞-KY、台達電、緯穎和信驊表現最佳，而光寶科、廣達和英業達則排名末位。(二)大部分伺服器公司在研究費用效率表現良好，最需改善員工人數的投入與無形資產及每股盈餘的產出。伺服器上游產業則需加強研究費用的投入效率，而伺服器中游產業則需加強在無形資產的產出效率。

With the rise of generative artificial intelligence (AI) in 2022, the demand for cloud access and computing has increased significantly. The global server market is expanding rapidly. Taiwan's server supply chain covers all levels, from chip manufacturing to assembly, showing The integrity of the industrial chain. At the same time, Taiwan's server industry faces challenges during the pandemic, such as delivery delays, component shortages, and Taiwan's employment shortage.
This study is significant as it utilizes the SBM model (Slacks Based Measure) to comprehensively evaluate the performance of 20 server companies in Taiwan from 2018 to 2022. The model considers the number of employees and research and development expenses as input items, and operating revenue, intangible assets, and earnings per share as output items, with fixed assets serving as life-period linked items. This approach provides an objective and comprehensive assessment of the industry's performance.
Research results show that (1) the average overall performance of Taiwan's 20 server companies over a 5-year period was 0.40. Parade-KY, DELTA, Wiwynn, and Aspeed performed best, while Lite-On, Quanta, and Inventec ranked last. (2) Most server companies perform well in research on cost efficiency, and most need to improve their investment in employee numbers, intangible assets, and earnings per share output. The server upstream industry needs to increase the efficiency of investment in research expenses, while the server midstream industry needs to increase the output efficiency of intangible assets.

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