人工智慧技術在各產業之間的應用已普遍存在，然而，相對於其他行業，驗證實驗室在這方面的相關研究相對較少。驗證產業是許多採用人工智慧技術的尖端產業不可或缺的夥伴，驗證產業特別注重測試流程的效率和測試結果的可靠性，也因此驗證產業往往在內部數位化的發展相對謹慎。然而，協力夥伴間的數位資產與能力之協調性不可或缺的，也因此驗證產業實有探討數位化進一步發展的必要性。本研究旨在探討可靠度驗證實驗室導入人工智慧技術的可行性，面對科技轉型所帶來的挑戰，身為第三方公正單位開始重新定位思考，評估引入新技術的可行性。 本研究採用個案研究和深度訪談為一採用綜合分析方法的整合性研究，以內部政策推動經驗和中高階主管的觀點為切入點，探討可靠度驗證實驗室回應人工智慧技術採用趨勢而進一步採用的可行性。因此，本研究過程，從科技準備度、組織準備度和環境準備度等方面，了解各部門主管對於人工智慧技術導入驗證實驗室的觀點和看法，以釐清個案公司如何面對市場上新技術所帶來的改變，以及人工智慧技術對可靠度驗證實驗室所能提供的成果和貢獻。 研究結果發現，在人工智慧技術的浪潮下，驗證單位可以利用人工智慧技術提升各部門的測試生產力，從而改善客戶體驗並降低人力時間成本。最後，本研究彙總個案公司在人工智慧技術應用的可行性和深度訪談結果，提供了經驗和啟示，希望能為其他企業提供參考和借鏡之處。;The application of artificial intelligence (AI) technology is widely prevalent across various industries. However, compared to other sectors, there has been relatively less research on the application of AI in verification laboratories. Verification industries are indispensable partners for many cutting-edge industries that adopt AI technology. They place special emphasis on the efficiency of testing processes and the reliability of test results, which often makes them cautious in their internal digitalization development. Nevertheless, the coordination of digital assets and capabilities among collaborative partners is essential, highlighting the need for further development of digitalization within the verification industry. This study aims to explore the feasibility of integrating AI technology into reliability verification laboratories. Faced with the challenges brought about by technological transformation, third-party impartial entities have begun to reposition their thinking and assess the feasibility of introducing new technologies. The study adopts a case study approach and in-depth interviews as an integrated research methodology. It investigates the feasibility of reliability verification laboratories responding to the trend of AI technology adoption, based on the perspectives of internal policy promotion experiences and mid- to high-level executives. Therefore, in the process of this study, various department managers′ views and opinions on the introduction of AI technology into verification laboratories are examined from the aspects of technological readiness, organizational readiness, and environmental readiness. This aims to clarify how the case company addresses the changes brought by new technologies in the market and the results and contributions that AI technology can provide to reliability verification laboratories. The research findings reveal that, under the wave of AI technology, verification units can utilize AI technology to enhance the testing productivity of various departments, thereby improving customer experiences and reducing labor and time costs. Finally, this study summarizes the feasibility of applying AI technology in the case company and provides insights and experiences through in-depth interviews, with the hope of providing references and insights for other businesses.
