台灣傳統製造業中小企業在數位轉型過程中，逐漸需要以更穩定、可擴充且易於管理的 IT 基礎架構支撐 ERP（Enterprise Resource Planning）、MES（Manufacturing Execution System）、PLC（Programmable Logic Controller）、AS/RS（Automated Storage and Retrieval System）與資料分析等應用。然而，中小企業通常面臨 IT 人力不足、預算有限、舊有系統整合困難與營運中斷風險等限制，使超融合基礎架構（Hyper-Converged Infrastructure， HCI）的採納不僅是技術選型問題，更涉及組織資源、外部支援與風險控管。 既有 HCI 研究多聚焦技術效能、成本比較或大型企業導入經驗，較少從組織層級技術採納觀點探討傳統製造業中小企業如何評估 HCI。本研究以技術、組織與環境（Technology-Organization-Environment， TOE）架構為理論基礎，結合關鍵成功因素觀點，建立傳統製造業中小企業採納 HCI 之初始評估準則。 研究方法上，本研究先透過文獻整理與修正式德爾菲法篩選評估因素，再以層級分析法（Analytic Hierarchy Process， AHP）計算各構面與準則之相對權重。研究資料來自 12位具資訊基礎架構、製造業數位轉型、系統整合、資安或技術採納研究經驗之專家意見，並以個案公司導入情境作為研究背景與問題脈絡。 研究結果顯示，傳統製造業中小企業採納 HCI 時，最重視安全性、高階管理支援、財務實力與技術供應商支援；技術與組織因素之重要性高於環境因素，競爭壓力、政府支持與監管要求之影響相對有限。據此，本研究提出「風險可控導向之 HCI 採納評估框架」，指出中小企業採納 HCI 並非單純追求技術先進性，而是透過資安、管理承諾、財務承受能力與外部技術支援降低導入風險，形成可供同類型企業參考之 IT 基礎架構升級決策邏輯。 關鍵詞：超融合基礎架構、TOE 架構、修正式德爾菲法、層級分析法、中小企業、技術採納;Traditional manufacturing SMEs in Taiwan increasingly require stable， scalable， and manageable IT infrastructure to support ERP， MES， PLC， AS/RS， and data-driven applications. However， SMEs often face limited IT manpower， constrained budgets， legacy system integration issues， and operational continuity risks. Therefore， adopting hyper-converged infrastructure (HCI) is not merely a technical choice， but also an organizational and risk-management decision. Existing HCI studies mainly focus on technical performance， cost comparisons， or large-enterprise implementation cases. Relatively few studies examine HCI adoption among traditional manufacturing SMEs from an organizational technology-adoption perspective. Based on the Technology-Organization-Environment (TOE) framework and the critical success factor perspective， this study develops an evaluation structure for HCI adoption in traditional manufacturing SMEs. Methodologically， this study first identifies initial factors through the literature and then applies the modified Delphi method to screen the evaluation criteria. The Analytic Hierarchy Process (AHP) is subsequently used to calculate the relative weights of the dimensions and criteria. Data were collected from 12 experts with experience in IT infrastructure， manufacturing digital transformation， system integration， cybersecurity， or technology adoption research， while the J Company implementation context serves as the practical background of the study. The results show that security， top management support， financial capability， and technical vendor support are the most important factors influencing HCI adoption. Technology and organizational factors are more influential than environmental factors， while competitive pressure， government support， and regulatory requirements are relatively less influential. Based on these findings， this study proposes a risk-controllability-oriented HCI adoption framework， suggesting that SMEs adopt HCI not simply to pursue technological advancement， but to reduce implementation risks through security， managerial commitment， financial readiness， and external technical support. Keywords: Hyper-Converged Infrastructure， TOE Framework， Modified Delphi Method， Analytic Hierarchy Process， SMEs， Technology Adoption
