人工智能创业生态系统新框架

IF 15.5 1区 管理学 Q1 BUSINESS
Simona Cătălina Ștefan, Ion Popa, Andreea Breazu
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引用次数: 0

摘要

人工智能(AI)已经彻底改变了现代组织的运作方式,定义了从传统行业到数字行业的转变,在数字行业中,生产系统可以自主通信、自我监控和协作。本研究为人工智能创业生态系统提出了一个新的框架,强调了塑造这一领域的因素之间的关系、重要性和必要性。本研究采用多方面的方法,整合了几种分析——偏最小二乘结构方程模型、重要性-绩效分析、必要条件分析和人工神经网络——确定了人工智能创业意愿的五个预测因素:创业生态系统、社会影响力、开放性、绩效预期和市场变化。通过对潜在人工智能企业家进行问卷调查收集765份反馈,研究结果表明,创业生态系统和社会影响直接影响人工智能创业意愿,而其他因素则起到中介或调节作用。结果表明,管理干预应优先考虑创业生态系统和社会影响力,这两个方面非常重要,但表现相对较差。此外,尽管开放性和绩效预期不是人工智能创业意愿的主要驱动因素,但它们是必要条件。本研究通过考察人工智能背景下的创业生态系统,以及创业时采用人工智能的意愿,做出了原创性贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new framework for the artificial intelligence entrepreneurship ecosystem
Artificial intelligence (AI) has revolutionized the way modern organizations operate, defining the transition from traditional industries to digital industries in which production systems can communicate, self-monitor, and collaborate autonomously. This study proposes a new framework for the AI entrepreneurship ecosystem that emphasizes the relationships, significance, and necessity of the factors shaping this field. Adopting a multifaceted approach that integrates several analyses—partial least squares structural equation modeling, importance-performance analysis, necessary conditions analysis, and artificial neural networks—this study identifies five predictors of AI entrepreneurship intention: entrepreneurial ecosystem, social influence, openness, performance expectancy, and market changes. Using 765 responses collected through a questionnaire from potential AI entrepreneurs, the findings show that the entrepreneurial ecosystem and social influence directly influence AI entrepreneurial intention, while the other factors act as mediators or moderators. The results indicate that managerial interventions should prioritize the entrepreneurial ecosystem and social influence, which are highly important but relatively underperforming. Moreover, although openness and performance expectancy are not primary drivers of AI entrepreneurial intention, they represent necessary conditions. This study makes an original contribution by examining the entrepreneurial ecosystem in the context of AI, as well as entrepreneurial intentions to adopt AI when starting a business.
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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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