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Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors
Business & Information Systems Engineering ( IF 7.4 ) Pub Date : 2020-12-22 , DOI: 10.1007/s12599-020-00676-7
Jan Jöhnk , Malte Weißert , Katrin Wyrtki

Artificial intelligence (AI) offers organizations much potential. Considering the manifold application areas, AI’s inherent complexity, and new organizational necessities, companies encounter pitfalls when adopting AI. An informed decision regarding an organization’s readiness increases the probability of successful AI adoption and is important to successfully leverage AI’s business value. Thus, companies need to assess whether their assets, capabilities, and commitment are ready for the individual AI adoption purpose. Research on AI readiness and AI adoption is still in its infancy. Consequently, researchers and practitioners lack guidance on the adoption of AI. The paper presents five categories of AI readiness factors and their illustrative actionable indicators. The AI readiness factors are deduced from an in-depth interview study with 25 AI experts and triangulated with both scientific and practitioner literature. Thus, the paper provides a sound set of organizational AI readiness factors, derives corresponding indicators for AI readiness assessments, and discusses the general implications for AI adoption. This is a first step toward conceptualizing relevant organizational AI readiness factors and guiding purposeful decisions in the entire AI adoption process for both research and practice.

中文翻译:

准备好与否,人工智能来了——组织人工智能准备因素的访谈研究

人工智能 (AI) 为组织提供了巨大的潜力。考虑到多种应用领域、人工智能固有的复杂性以及新的组织需求,公司在采用人工智能时会遇到陷阱。有关组织准备情况的明智决策会增加成功采用 AI 的可能性,并且对于成功利用 AI 的业务价值非常重要。因此,公司需要评估他们的资产、能力和承诺是否已为单独的人工智能采用目的做好准备。人工智能准备和人工智能采用的研究仍处于起步阶段。因此,研究人员和从业人员缺乏采用人工智能的指导。本文介绍了五类 AI 就绪因素及其说明性的可操作指标。AI 就绪因素是从对 25 位 AI 专家的深入访谈研究中推导出来的,并与科学和从业者文献进行三角测量。因此,本文提供了一套完善的组织 AI 准备因素,得出了 AI 准备评估的相应指标,并讨论了对 AI 采用的一般影响。这是将相关的组织 AI 准备因素概念化并在整个 AI 应用过程中为研究和实践指导有目的的决策的第一步。
更新日期:2020-12-22
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