在數位轉型與人工智慧技術迅速發展的浪潮下，生成式人工智慧工具（Generative AI）於企業中的應用日益普及。然而，員工對此類新興技術的接受程度，將直接影響其實際使用情形與組織推動成效，同時亦可能引發員工對職涯發展的焦慮與不安全感。因此，本研究以整合科技接受模式（UTAUT）為理論基礎，探討企業員工對生成式AI工具的使用意圖與實際使用行為，並進一步納入工作不安全感的兩個構面──工作延續性不安全感與工作發展性不安全感，作為調節變項進行分析。 本研究透過便利抽樣方式發放問卷，共回收347份有效樣本，並以迴歸分析進行驗證。研究結果顯示：(1)預期績效、社會影響與有利條件對使用意圖具有顯著正向影響；(2) 預期努力對使用意圖則不具顯著影響；(3) 使用意圖對實際使用行為具有顯著正向影響；(4) 預期績效、預期努力、社會影響與有利條件皆正向影響實際使用行為；(5) 使用意圖在績效預期、社會影響、有利條件與實際使用行為之間具中介效果；(6) 工作延續性不安全感無顯著調節效果；(7) 工作發展性不安全感則在預期努力、有利條件與使用意圖之間具有正向調節效果。 本研究不僅擴充UTAUT模型以納入員工的心理因素，亦填補生成式AI工具在企業實務導入過程中相關接受度研究之不足，對企業未來推動GAI技術落地具有實務參考價值。;With the development of artificial intelligence technologies， the application of generative AI (GAI) tools in enterprises has become increasingly prevalent. However， employees′ acceptance of such technologies directly influences their actual usage and the effectiveness of implementation， while also triggering job insecurity related to career development. This study adopts the Unified Theory of Acceptance and Use of Technology (UTAUT) to examine employees’ intention to use GAI tools and their actual usage behavior， incorporating qualitative and quantitative job insecurity as moderating variables. Based on 347 valid responses analyzed through regression， results show that: (1) performance expectancy， social influence， and facilitating conditions significantly affect behavioral intention; (2) effort expectancy does not significantly affect behavioral intention; (3) behavioral intention significantly influences usage behavior; (4) all four UTAUT factors positively affect usage behavior; (5) behavioral intention mediates the effects of performance expectancy， social influence， and facilitating conditions on usage behavior; (6) qualitative job insecurity does not significantly moderate any of the relationships between UTAUT constructs and behavioral intention; (7) quantitative job insecurity positively moderates the relationships between performance expectancy and behavioral intention， and between facilitating conditions and behavioral intention. This study extends the UTAUT model by integrating psychological factors and provides practical insights for enterprises implementing GAI technologies.
