隨人工智慧、雲端運算及 5G 通訊等技術蓬勃發展，全球科技產業正面臨數位化快速發展的趨勢。電腦及電腦週邊設備產業作為資訊基礎建設的核心，在2020 年新冠疫情（COVID-19）後面臨供應鏈重組、生成式 AI 快速發展及ESG（Environmental, Social, Governance）法規趨嚴等挑戰。本研究旨在探討台灣上市電腦及週邊設備企業如何將營運投入有效轉化為企業競爭力，並以產品屬性與市場定位進行分群，觀察不同類型企業在兩階段效率表現上的差異，評估企業在動態市場環境下的資源配置效率與競爭力轉化表現。
本研究以45家台灣上市電腦及週邊設備企業為研究對象，運用兩階段動態範圍方向衡量－方向距離函數資料包絡分析模型（RDM DDF），評估其於2020年至2024年間的效率表現。實證結果顯示，受評產業整體總效率在研究期間內呈現穩定且逐漸成長的趨勢，反映產業整體資源配置與轉化能力持續優化。就個別企業而言，部分公司於研究期間內效率值均維持在最佳狀態，展現卓越的資源配置能力，為產業的效率標竿。在階段分析上，第一階段之營運效率普遍優於第二階段之企業競爭力效率。此數據特徵顯示公司在基礎營運表現上已具備高度經營成熟度，但在將營運基礎轉化為綜合競爭力的效率表現仍有改善空間 。
本研究依據企業產品屬性與市場定位，將45家樣本企業劃分為四大類群。以工業電腦、嵌入式系統與邊緣運算的利基型類群企業，其營運效率、競爭力效率及總效率均位居四大族群之首。以筆記型電腦與伺服器代工為主的系統組裝族群，效率表現相對落後其他族群。本研究識別出各族群中的效率標竿企業，此類企業在波動環境下仍能維持穩定的資源配置效率與競爭力表現，以供效率落後企業作為參考，並建議政府依各族群特性採取差異化產業輔導政策。

As artificial intelligence, cloud computing, and 5G reshape the global technology industry, Taiwan's computer and peripheral equipment sector faces supply chain restructuring, generative AI disruption, and tightening ESG regulations. This study examines how 45 Taiwan-listed firms transform operational inputs into corporate competitiveness, applying the Range Directional Measure based Directional Distance Function Model over 2020–2024.
Overall industry efficiency improved steadily throughout the study period. First-stage operational efficiency was consistently strong, while second-stage corporate competitiveness efficiency remained lower and more volatile, confirming that translating operational strength into comprehensive market performance is the sector's primary challenge.
Classifying firms by product attributes and market positioning reveals pronounced group differences. Niche enterprises focused on industrial computers and edge computing ranked first across all efficiency dimensions, while system assembly firms ranked last. The study identifies benchmark firms within each group for peers to reference, and recommends that the government adopt differentiated industrial guidance policies tailored to each group's characteristics.

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