人工智能能力与企业绩效:从可持续发展的角度看数据驱动型文化的中介作用

IF 6.9 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Samuel Fosso Wamba, Maciel M. Queiroz, Ilias O. Pappas, Yulia Sullivan
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引用次数: 0

摘要

人工智能(AI)工具、应用和能力受到了行业从业者、学者和政策制定者的极大关注。尽管有关人工智能的文献取得了长足的进步,但从可持续发展的角度来看,考虑到数据驱动文化的重要性,以及数据驱动文化是否真正介导了人工智能能力与企业绩效之间的关系,有关人工智能能力影响的研究却相当匮乏。以基于资源的理论(RBT)为基础,我们建立了人工智能能力及其资源(有形资源、无形资源和人力资源)的高阶模型。我们采用了两阶段方法,第一步是 PLS-SEM,第二步是 fsQCA。第一步的研究结果表明,人工智能能力直接影响企业绩效,而数据驱动文化则是人工智能能力与企业绩效之间关系的中介。第二步的结果表明,企业可以考虑不同的人工智能资源配置来实现高绩效,但人工智能基础设施是一项关键资源。我们的研究推动了有关人工智能能力和可持续发展目标的文献的发展。同样,我们的研究也表明,人工智能能力是对企业绩效产生重大影响的一个重要变量,从而推动了 RBT 理论的发展。同时,它与可持续发展目标 9(工业、创新和基础设施)和可持续发展目标 12(负责任的消费和生产)和谐地联系在一起。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial Intelligence Capability and Firm Performance: A Sustainable Development Perspective by the Mediating Role of Data-Driven Culture

Artificial Intelligence Capability and Firm Performance: A Sustainable Development Perspective by the Mediating Role of Data-Driven Culture

Artificial Intelligence (AI) tools, applications, and capabilities have received tremendous attention from industry practitioners, scholars, and policymakers. Despite the substantial progress of the literature on AI, there is a considerable scarcity of research investigating the effects of AI capability, considering the importance of a data-driven culture and whether a data-driven culture truly mediates the relationship between AI capability and firm performance from a sustainable development perspective. Anchored by the resource-based theory (RBT), we developed a high-order model of AI capability and its resources (tangible, intangible, and human). We used a two-stage approach, with PLS-SEM in the first and fsQCA in the second. The findings from the first step suggest that AI capability directly impacts firm performance and that data-driven culture mediates the relationship between AI capability and firm performance. The results from the second step indicated that different configurations of AI resources could be considered for firms to achieve high performance but that AI infrastructure is a crucial resource. Our study advances the literature on AI capability and sustainable development goals. Similarly, it contributes to moving the RBT theory forward by suggesting that AI capability is a paramount variable that substantially influences firm performance. Simultaneously, it is harmoniously connected with SDG 9 (industry, innovation, and infrastructure) and SDG 12 (responsible consumption and production).

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来源期刊
Information Systems Frontiers
Information Systems Frontiers 工程技术-计算机:理论方法
CiteScore
13.30
自引率
18.60%
发文量
127
审稿时长
9 months
期刊介绍: The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.
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