Understandings of the AI business ecosystem in South Korea: AI startups’ perspective

IF 5.9 2区管理学 Q1 COMMUNICATION

Telecommunications Policy Pub Date : 2024-04-22 DOI:10.1016/j.telpol.2024.102763

Jinyoung Nam , Yoonhyuk Jung , Junghwan Kim

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引用次数: 0

Abstract

Numerous startups are leveraging Artificial Intelligence (AI) technology to create innovative solutions across a wide range of sectors, positioning themselves as central figures in the AI business ecosystem. Particularly notable is the marked increase in the initiation and investment in AI startups within South Korea. To delve deeper into the AI business ecosystem, this study examines its collective understanding from the viewpoint of AI startups in South Korea. We carried out semi-structured interviews with 16 CEOs and managers of AI startups in the country. This study utilizes a core-periphery analysis of the social representation of the AI business ecosystem. In doing so, it addresses an existing knowledge gap and augments the current body of research pertaining to the AI business ecosystem and the present-day opportunities and challenges it confronts. Our findings serve not only to advise practitioners, governments, and businesses but also underscore the importance of ongoing dialogue among government agencies, leading tech companies, and AI startups to foster a more sustainable AI business ecosystem.

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了解韩国的人工智能商业生态系统：人工智能初创企业的视角

众多初创企业正在利用人工智能（AI）技术为各行各业创造创新解决方案，并将自己定位为人工智能商业生态系统中的核心人物。尤其值得注意的是，韩国对人工智能初创企业的启动和投资明显增加。为了深入探讨人工智能商业生态系统，本研究从韩国人工智能初创企业的角度出发，探讨了对该生态系统的集体理解。我们对韩国 16 家人工智能初创企业的首席执行官和经理进行了半结构化访谈。本研究对人工智能商业生态系统的社会表征进行了核心-外围分析。这样，它就填补了现有的知识空白，并加强了当前有关人工智能商业生态系统及其所面临的机遇和挑战的研究。我们的研究结果不仅为从业人员、政府和企业提供了建议，还强调了政府机构、领先科技公司和人工智能初创企业之间持续对话的重要性，以促进更可持续的人工智能商业生态系统。

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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来源期刊

Telecommunications Policy 工程技术-电信学

CiteScore

10.80

自引率

12.50%

发文量

122

审稿时长

38 days

期刊介绍： Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.