独立还是相互依存?人工智能在企业海外能源投资进入模式中的作用

IF 15.6 1区 管理学 Q1 BUSINESS
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引用次数: 0

摘要

人工智能(AI)技术通过提高信息传输和大数据分析的能力和效率,极大地改变了能源行业的企业行为。然而,对于人工智能如何影响海外能源投资的新市场进入模式战略,人们的了解仍然有限。借鉴信息处理理论,我们提出,拥有先进人工智能技术的企业表现出卓越的数据处理能力,可以帮助能源企业减轻进入国外市场的不确定性,鼓励其选择独资进入模式。我们进一步假设,企业的国有制、母国与东道国之间的政治亲和力以及企业高管的风险偏好是调节因素。利用 2010 年至 2021 年能源行业的中国上市跨国公司样本,我们的实证结果有力地支持了这些预测。这些研究结果为有关人工智能技术对企业海外投资行为(尤其是能源行业)的影响的新兴重要文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Independence or interdependence: The role of artificial intelligence in corporate entry mode for overseas energy investments

Artificial intelligence (AI) technology has significantly transformed corporate behavior in the energy sector by enhancing the capacity and efficiency of information transmission and big data analysis. However, there is still a limited understanding of how AI influences new market entry mode strategies in overseas energy investments. Drawing on information processing theory, we propose that firms with advanced AI technology exhibit superior data processing capabilities, which can help energy companies mitigate the uncertainties associated with entering a foreign market and encourage them to choose a wholly-owned entry mode. We further hypothesize that the state ownership of firms, the political affinity between home and host countries, and the risk preferences of firm executives serve as moderating factors. Using a sample of Chinese-listed multinational firms in the energy sector from 2010 to 2021, our empirical results strongly support these predictions. These findings contribute to the emerging and crucial literature on the impact of AI technology on firms’ overseas investment behavior, particularly in the energy sector.

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来源期刊
CiteScore
16.10
自引率
12.70%
发文量
118
审稿时长
37 days
期刊介绍: The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.
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