英文标题：
《Artificial Intelligence and Big Data in Entrepreneurship: A New Era Has
  Begun》
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作者：
Martin Obschonka, David B. Audretsch
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最新提交年份：
2019
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英文摘要：
  While the disruptive potential of artificial intelligence (AI) and Big Data has been receiving growing attention and concern in a variety of research and application fields over the last few years, it has not received much scrutiny in contemporary entrepreneurship research so far. Here we present some reflections and a collection of papers on the role of AI and Big Data for this emerging area in the study and application of entrepreneurship research. While being mindful of the potentially overwhelming nature of the rapid progress in machine intelligence and other Big Data technologies for contemporary structures in entrepreneurship research, we put an emphasis on the reciprocity of the co-evolving fields of entrepreneurship research and practice. How can AI and Big Data contribute to a productive transformation of the research field and the real-world phenomena (e.g., \'smart entrepreneurship\')? We also discuss, however, ethical issues as well as challenges around a potential contradiction between entrepreneurial uncertainty and rule-driven AI rationality. The editorial gives researchers and practitioners orientation and showcases avenues and examples for concrete research in this field. At the same time, however, it is not unlikely that we will encounter unforeseeable and currently inexplicable developments in the field soon. We call on entrepreneurship scholars, educators, and practitioners to proactively prepare for future scenarios.
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中文摘要：
虽然人工智能（AI）和大数据的破坏性潜力在过去几年中在各种研究和应用领域受到了越来越多的关注和关注，但到目前为止，在当代创业研究中还没有受到太多的关注。在这里，我们就人工智能和大数据在创业研究的研究和应用这一新兴领域中的作用提出了一些思考和论文集。在意识到机器智能和其他大数据技术的快速发展对当代创业研究结构的潜在压倒性影响的同时，我们强调了共同发展的创业研究和实践领域的相互作用。人工智能和大数据如何为研究领域和现实世界现象的生产性转变做出贡献（例如，“智慧创业”）？然而，我们也讨论了伦理问题以及围绕创业不确定性和规则驱动AI合理性之间潜在矛盾的挑战。该社论为研究人员和从业者提供了方向，并展示了该领域具体研究的途径和实例。然而，与此同时，我们不太可能很快在实地遇到无法预见和目前无法解释的事态发展。我们呼吁创业学者、教育工作者和从业者积极准备未来的情景。
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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