高层管理人员的人工智能扫盲:从企业高层角度看人工智能的导向和实施能力

IF 7.1 3区 管理学 Q1 BUSINESS Electronic Markets Pub Date : 2024-04-01 DOI:10.1007/s12525-024-00707-1
Marc Pinski, Thomas Hofmann, Alexander Benlian
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引用次数: 0

摘要

我们借鉴高层理论,研究企业高层管理团队的人工智能素养(即TMT人工智能素养)是否会影响人工智能价值创造的两个最重要的企业特征--企业的人工智能导向(使其能够识别人工智能的价值潜力)和企业的人工智能实施能力(使其能够实现这些价值潜力)。基于TMT效应取决于企业背景的观点,我们考虑了企业类型(即初创企业与现有企业)的调节作用。为了研究这些关系,我们利用了职业社交网络(LinkedIn.com)中 6986 名高管的素养观察数据和 10-K 报表中的公司数据。我们的研究结果表明,TMT 的人工智能素养会对人工智能导向和人工智能实施能力产生积极影响,而人工智能导向会介导 TMT 人工智能素养对人工智能实施能力的影响。此外,我们还发现,TMT 人工智能素养对人工智能实施能力的影响在初创企业中要强于在职企业。我们将人工智能素养作为一个以技能为导向的视角引入TMT,补充了之前以角色为导向的TMT研究,并详细阐述了人工智能素养对基于上层机构的人工智能价值生成机制的作用,从而为上层机构文献做出了贡献。
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AI Literacy for the top management: An upper echelons perspective on corporate AI orientation and implementation ability

We draw on upper echelons theory to examine whether the AI literacy of a firm’s top management team (i.e., TMT AI literacy) has an effect on two firm characteristics paramount for value generation with AI—a firm’s AI orientation, enabling it to identify AI value potentials, and a firm’s AI implementation ability, empowering it to realize these value potentials. Building on the notion that TMT effects are contingent upon firm contexts, we consider the moderating influence of a firm’s type (i.e., startups vs. incumbents). To investigate these relationships, we leverage observational literacy data of 6986 executives from a professional social network (LinkedIn.com) and firm data from 10-K statements. Our findings indicate that TMT AI literacy positively affects AI orientation as well as AI implementation ability and that AI orientation mediates the effect of TMT AI literacy on AI implementation ability. Further, we show that the effect of TMT AI literacy on AI implementation ability is stronger in startups than in incumbent firms. We contribute to upper echelons literature by introducing AI literacy as a skill-oriented perspective on TMTs, which complements prior role-oriented TMT research, and by detailing AI literacy’s role for the upper echelons-based mechanism that explains value generation with AI.

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来源期刊
Electronic Markets
Electronic Markets Multiple-
CiteScore
14.80
自引率
15.30%
发文量
85
期刊介绍: Electronic Markets (EM) stands as a premier academic journal providing a dynamic platform for research into various forms of networked business. Recognizing the pivotal role of information and communication technology (ICT), EM delves into how ICT transforms the interactions between organizations and customers across diverse domains such as social networks, electronic commerce, supply chain management, and customer relationship management. Electronic markets, in essence, encompass the realms of networked business where multiple suppliers and customers engage in economic transactions within single or multiple tiers of economic value chains. This broad concept encompasses various forms, including allocation platforms with dynamic price discovery mechanisms, fostering atomistic relationships. Notable examples originate from financial markets (e.g., CBOT, XETRA) and energy markets (e.g., EEX, ICE). Join us in exploring the multifaceted landscape of electronic markets and their transformative impact on business interactions and dynamics.
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