影響組織人工智慧準備度的因素： TOE 模型和資訊科技警覺留神;Factors Affecting AI-Readiness in Organization: The TOE Model and IT Mindfulness

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/92612

Title:	影響組織人工智慧準備度的因素： TOE 模型和資訊科技警覺留神;Factors Affecting AI-Readiness in Organization: The TOE Model and IT Mindfulness
Authors:	李宜駿;Lee, I-Chun
Contributors:	資訊管理學系
Keywords:	人工智慧;導入;技術-組織-環境模型;創新擴散;訊科技警覺留神;Artificial Intelligence;Adoption;Technology-Organization-Environment Model;Diffusion of Innovation;IT Mindfulness
Date:	2023-07-20
Issue Date:	2023-10-04 16:06:29 (UTC+8)
Publisher:	國立中央大學
Abstract:	人工智慧之研究與應用的快速增長為組織帶來了機會和挑戰，自 2015 年以來人工智慧相關的出版刊物增長了 2.5 倍，超過 80％的公司表示未來可能會導入人工智慧。人工智慧的多樣性和複雜性使組織必須全面了解並選擇合適的技術。組織變革準備度理論強調了成功導入人工智慧所需的準備工作，而人工智慧的導入需要更高的技術專業知識和資源。本研究旨在探討影響人工智慧準備度的因素，並使用技術-組織-環境（TOE）模型和創新擴散（DOI）理論，以及研究資訊科技警覺留神在人工智慧準備度中的作用。資訊科技警覺留神作為一個具有四個維度的動態特質，影響著組織的人工智慧準備度並對導入人工智慧至關重要。研究目標包括檢驗 TOE 因素對人工智慧準備度的正向影響，並將資訊科技警覺留神納入 TOE 模型中。本研究旨在為人工智慧導入過程提供方針，並有助於理解影響人工智慧準備度的因素。回答這些研究問題將有助於更深入地了解組織中人工智慧導入所面臨的挑戰和機會。;The rapid growth of Artificial Intelligence (AI) research and adoption offers opportunities and challenges for organizations, with AI publications increasing 2.5 times since 2015 and over 80% of companies likely to incorporate AI. The diverse scope and complexity of AI require organizations to develop a thorough understanding and select suitable technologies. Organizational Readiness for Change theory highlights the importance of preparedness for successful AI adoption, which demands higher technical expertise and resources. This study aims to explore factors influencing AI adoption using the Technology-OrganizationEnvironment (TOE) model and the Diffusion of Innovation (DOI) theory and examine the role of organizational mindfulness in AI-readiness. IT mindfulness, a dynamic trait with four dimensions, is essential for successful AI adoption. The research objectives involve examining the positive effects of TOE factors on AI readiness, integrating IT Mindfulness into the TOE framework, and identifying the components of organizational readiness for AI. The study aims to provide guidance for the AI adoption process and contribute to the understanding of factors influencing AI readiness. Addressing these research questions will contribute to a deeper understanding of the challenges and opportunities associated with AI adoption in organizations.
Appears in Collections:	[Graduate Institute of Information Management] Electronic Thesis & Dissertation

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