摘要翻译：
虽然人工智能(AI)和大数据的颠覆性潜力在过去几年中在各种研究和应用领域得到了越来越多的关注和关注，但迄今为止，它在当代创业研究中还没有得到太多的审视。在此，我们就人工智能和大数据在这一新兴领域的研究和应用中的作用提出了一些思考和论文集。在注意到机器智能和其他大数据技术对当代创业研究结构的快速进步的潜在压倒性性质的同时，我们强调了创业研究和实践共同发展领域的互惠性。人工智能和大数据如何有助于研究领域和现实世界现象的生产性变革（例如，“聪明的企业家精神”）？然而，我们也讨论了伦理问题，以及围绕企业家不确定性和规则驱动的人工智能理性之间潜在矛盾的挑战。这篇社论给研究人员和实践者提供了方向，并展示了这一领域具体研究的途径和例子。然而，与此同时，我们不久将在该领域遇到不可预见和目前令人费解的事态发展，这并非不可能。我们呼吁企业家学者、教育工作者和从业者积极为未来的场景做好准备。
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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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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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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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PDF链接：
https://arxiv.org/pdf/1906.00553