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New(s) data for Entrepreneurship Research? An innovative approach to use Big Data on media coverage

Author

Listed:
  • Johannes von Bloh
  • Tom Broekel
  • Burcu Oezgun
  • Rolf Sternberg

Abstract

Although conventional register and survey data on entrepreneurship have enabled remarkable insights into the phenomenon, the added value has slowed down noticeably over the last decade. There is a need for fresh approaches utilising modern data sources such as Big Data. Until now, it has been quite unknown whether Big Data actually embodies valuable contributions for entrepreneurship research and where it can perform better or worse than conventional approaches. To contribute towards the exploration of Big Data in entrepreneurship research, we use a newly developed dataset based on publications of the German Press Agency (dpa) to explore the relationship between news coverage of entrepreneurship and regional entrepreneurial activity. Furthermore, we apply sentiment analysis to investigate the impact on sentiment of entrepreneurial press releases. Our results show mixed outcomes regarding the relationship between reporting of entrepreneurial events, i.e., media coverage, and entrepreneurial activity in German planning regions. At this stage, our empirical results reject the idea of a strong relationship between actual entrepreneurial activities in regions and the intensity of it being reported. However, the results also imply much potential of Big Data approaches for further research with more sophisticated methodology approaches. Our paper provides an entry point into Big Data usage in entrepreneurship research and we suggest a number of relevant research opportunities based on our results.

Suggested Citation

  • Johannes von Bloh & Tom Broekel & Burcu Oezgun & Rolf Sternberg, 2019. "New(s) data for Entrepreneurship Research? An innovative approach to use Big Data on media coverage," Papers in Evolutionary Economic Geography (PEEG) 1920, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2019.
  • Handle: RePEc:egu:wpaper:1920
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    Cited by:

    1. Sascha Kraus & Matthias Breier & Sonia Dasí-Rodríguez, 2020. "The art of crafting a systematic literature review in entrepreneurship research," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 1023-1042, September.
    2. Steve J. Bickley & Alison Macintyre & Benno Torgler, 2021. "Artificial Intelligence and Big Data in Sustainable Entrepreneurship," CREMA Working Paper Series 2021-11, Center for Research in Economics, Management and the Arts (CREMA).
    3. Burcu Ozgun & Tom Broekel, 2021. "The geography of innovation and technology news - An empirical study of the German news media," Papers in Evolutionary Economic Geography (PEEG) 2110, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2021.
    4. Martin Obschonka & David B. Audretsch, 2020. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 55(3), pages 529-539, October.

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    More about this item

    Keywords

    entrepreneurship; media coverage; mass media; Big Data; sentiment analysis; GEM; entrepreneurial ecosystem; region; news data;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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