Future Office: A Comparative Study on the Acceptance and Utilization of Generative AI Technologies

Laura Bies, Sophie Schmidt, Stefan Morana, Dirk Werth
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Abstract

As Generative AI technologies continue to evolve, understanding their impact and potential for integration across various sectors becomes increasingly important. This paper explores the acceptance and utilization of Generative AI in diverse industries through the 'Knowledge Behavior Gap Model'. Analyzing survey data from Germany via Structural Equation Modeling, it uncovers the significant impact of knowledge and acceptance on the behavioral adoption of these technologies. This research contributes to understanding how knowledge dissemination and acceptance are crucial for integrating innovative technologies like Generative AI in organizations. It fills a gap in existing literature and offers practical implications for organizations seeking to harness Generative AI for improved efficiency and innovation. This study stands out for its novel approach in linking knowledge, acceptance, and usage of Generative AI, highlighting its significance in the strategic technology adoption landscape.
未来办公室:生成式人工智能技术的接受和利用比较研究
随着生成式人工智能技术的不断发展,了解其对各行各业的影响和整合潜力变得越来越重要。本文通过 "知识行为差距模型 "探讨了不同行业对生成式人工智能的接受和利用情况。本文通过结构方程模型分析了德国的调查数据,揭示了知识和接受度对这些技术的行为采用所产生的重要影响。这项研究有助于理解知识传播和接受度对于在组织中整合生成式人工智能等创新技术的关键作用。它填补了现有文献的空白,并为寻求利用生成式人工智能提高效率和创新的组织提供了实际意义。本研究以其新颖的方法将知识、接受度和生成式人工智能的使用联系起来,凸显了其在战略技术应用领域的重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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