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Shifts in national entrepreneurial culture: The promise of linguistic cultural artifacts and machine learning analysis
Strategic Entrepreneurship Journal ( IF 5.4 ) Pub Date : 2024-11-15 , DOI: 10.1002/sej.1519
Christina Kyprianou, Siddharth Vedula, Wenxi Pu, Markus Fitza

Research SummaryWe develop a dynamic view of national entrepreneurial culture by examining the linguistic evolution of media‐produced cultural artifacts—entrepreneurship‐related newspaper articles. Applying machine learning to 690,088 articles from 103 newspapers across the United States between 1996 and 2016, we identify a growing positivity bias toward entrepreneurship at the national level evidenced by rising emotional tone and declining analytical thinking. This bias varies by topic, with “entrepreneurial aspirations and journeys” driving the trend. Our analyses also suggest this bias may encourage the creation of new ventures but limit venture growth potential. We highlight theoretical and methodological contributions to research on national entrepreneurial culture and identify promising avenues for future research.Managerial SummaryWe examine how a country's cultural attitudes toward entrepreneurship change over time by studying relevant newspaper articles. We also consider if any changes in such attitudes may have implications for the quantity and quality of a country's new ventures. After analyzing 690,088 articles from 103 newspapers across the United States between 1996 and 2016, we find a growing positivity bias toward entrepreneurship evidenced by increasing rates of positive tone and decreasing rates of analytical thinking. This bias is largest when media articles discuss entrepreneurial aspirations and journeys. Our analyses also suggest this bias may facilitate the creation of new ventures but limit their growth potential. These findings have implications for understanding and measuring national entrepreneurial culture, and create opportunities for future research.

中文翻译:


国家创业文化的转变:语言文化工件和机器学习分析的前景



研究摘要我们通过研究媒体制作的文化产物(与创业相关的报纸文章)的语言演变,发展了对国家创业文化的动态看法。将机器学习应用于 1996 年至 2016 年间美国 103 家报纸的 690,088 篇文章,我们发现国家层面对创业的积极偏见越来越大,情绪基调上升和分析思维下降证明了这一点。这种偏见因主题而异,“创业抱负和旅程”推动了这一趋势。我们的分析还表明,这种偏见可能会鼓励创建新企业,但会限制企业的增长潜力。我们强调了对国家创业文化研究的理论和方法贡献,并为未来的研究确定了有前途的途径。管理摘要我们通过研究相关的报纸文章来研究一个国家对创业的文化态度如何随着时间的推移而变化。我们还考虑了这种态度的任何变化是否会对一个国家新企业的数量和质量产生影响。在分析了 1996 年至 2016 年间来自美国 103 家报纸的 690,088 篇文章后,我们发现对创业的积极偏见越来越大,积极语气的比率增加和分析性思维的比率下降证明了这一点。当媒体文章讨论创业抱负和旅程时,这种偏见最大。我们的分析还表明,这种偏见可能会促进新企业的创建,但会限制其增长潜力。这些发现对理解和衡量国家创业文化具有意义,并为未来的研究创造了机会。
更新日期:2024-11-15
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