IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v149y2019ics0040162519311941.html
   My bibliography  Save this article

Big data insights into social macro trends (1800–2000): A replication study

Author

Listed:
  • Roth, Steffen
  • Schwede, Peter
  • Valentinov, Vladislav
  • Žažar, Krešimir
  • Kaivo-oja, Jari

Abstract

Seeking to advance a big data approach to social theory, Roth et al. (2017) applied the Google Ngram Viewer to explore the way the evolution of the function systems of the modern society is reflected in the Google Books corpus. The authors produced a highly counterintuitive finding that the modern Western societies cannot be adequately described as capitalist. In order to respond to the controversies raised by this finding, the present article replicates Roth et al. (2017) study while using a superior plotting software that allows to control the risk that keyword strength can be biased due to the neglect of keyword quantity. Covering the English-, French-, and German-language corpora, the present replication effort has confirmed the existence of distinct trends exhibited by the individual function systems, such as secularization, the persistent dominance of the political system, and the relatively lesser role of the economic system. These results are largely consistent with those of Roth et al. (2017) and thus lend credence to the authors’ sceptical assessment of the validity of the capitalist semantics. The article concludes by pleading for the routinization of big data-driven checks of the modern social theories.

Suggested Citation

  • Roth, Steffen & Schwede, Peter & Valentinov, Vladislav & Žažar, Krešimir & Kaivo-oja, Jari, 2019. "Big data insights into social macro trends (1800–2000): A replication study," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
  • Handle: RePEc:eee:tefoso:v:149:y:2019:i:c:s0040162519311941
    DOI: 10.1016/j.techfore.2019.119759
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162519311941
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2019.119759?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Guy, Jean-Sébastien, 2019. "Digital technology, digital culture and the metric/nonmetric distinction," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 55-61.
    2. Ivanova, Inga A. & Leydesdorff, Loet, 2014. "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 143-156.
    3. Roth, Steffen & Clark, Carlton & Trofimov, Nikolay & Mkrtichyan, Artur & Heidingsfelder, Markus & Appignanesi, Laura & Pérez-Valls, Miguel & Berkel, Jan & Kaivo-oja, Jari, 2017. "Futures of a distributed memory. A global brain wave measurement (1800–2000)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 307-323.
    4. Roth, Steffen, 2019. "Digital transformation of social theory. A research update," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 88-93.
    5. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    6. Karakilic, Emrah, 2019. "Rethinking intellectual property rights in the cognitive and digital age of capitalism: An autonomist Marxist reading," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 1-9.
    7. Ossewaarde, Marinus, 2019. "Digital transformation and the renewal of social theory: Unpacking the new fraudulent myths and misplaced metaphors," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 24-30.
    8. Wenzel, Matthias & Will, Matthias Georg, 2019. "The communicative constitution of academic fields in the digital age: The case of CSR," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 517-533.
    9. Loet Leydesdorff, 2012. "The Triple Helix, Quadruple Helix, …, and an N-Tuple of Helices: Explanatory Models for Analyzing the Knowledge-Based Economy?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(1), pages 25-35, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jauernig, Johanna & Uhl, Matthias & Valentinov, Vladislav, 2021. "The ethics of corporate hypocrisy: An experimental approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 131.
    2. da Fonseca, André Luís A. & Chimenti, Paula & Campos, Roberta D., 2023. "‘Take my advice’: Entrepreneurial consumers and the ecosystemic logics of digital platforms," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    3. Steffen Roth, 2023. "Digital transformation of management and organization theories: A research programme," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(3), pages 451-459, May.
    4. Acerbi, Alberto & Sacco, Pier Luigi, 2022. "The self-control vs. self-indulgence dilemma: A culturomic analysis of 20th century trends," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    5. Roth, Steffen, 2021. "The great reset of management and organization theory. A European perspective," European Management Journal, Elsevier, vol. 39(5), pages 538-544.
    6. Roth, Steffen, 2021. "The Great Reset. Restratification for lives, livelihoods, and the planet," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    7. Le Ravalec, Mickaele & Rambaud, Alexandre & Blum, Véronique, 2022. "Taking climate change seriously: Time to credibly communicate on corporate climate performance," Ecological Economics, Elsevier, vol. 200(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roth, Steffen & Dahms, Harry F. & Welz, Frank & Cattacin, Sandro, 2019. "Print theories of computer societies. Introduction to the digital transformation of social theory," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    2. Russell, Martha G. & Smorodinskaya, Nataliya V., 2018. "Leveraging complexity for ecosystemic innovation," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 114-131.
    3. Roth, Steffen, 2021. "The great reset of management and organization theory. A European perspective," European Management Journal, Elsevier, vol. 39(5), pages 538-544.
    4. Jiaofeng Pan & Jianxin Guo, 2022. "Innovative Collaboration and Acceleration: an Integrated Framework Based on Knowledge Transfer and Triple Helix," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3223-3247, December.
    5. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    6. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    7. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    8. Francesco Campanella & Maria Rosaria Della Peruta & Stefano Bresciani & Luca Dezi, 2017. "Quadruple Helix and firms’ performance: an empirical verification in Europe," The Journal of Technology Transfer, Springer, vol. 42(2), pages 267-284, April.
    9. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    10. Farshad Momeni & Ali Arab Mazar Yazdi & Seyed Mohammad Sajjad Najafi, 2019. "Changing economic systems and institutional dimensions of the Triple Helix model," Journal of Innovation and Entrepreneurship, Springer, vol. 8(1), pages 1-12, December.
    11. Lorenzo Compagnucci & Francesca Spigarelli, 2018. "Fostering Cross-Sector Collaboration to Promote Innovation in the Water Sector," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    12. Noriko Yoda & Kenichi Kuwashima, 2020. "Triple Helix of University–Industry–Government Relations in Japan: Transitions of Collaborations and Interactions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1120-1144, September.
    13. Godiva Rembeci, 2017. "SME’s Performance Through Comparative Performance Indicators, Measured by Business Statistics- Albania Case," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 3, September.
    14. Roth, Steffen & Schwede, Peter & Valentinov, Vladislav & Pérez-Valls, Miguel & Kaivo-oja, Jari, 2020. "Harnessing big data for a multifunctional theory of the firm," European Management Journal, Elsevier, vol. 38(1), pages 54-61.
    15. Helge Svare & Anne Haugen Gausdal, 2017. "Dynamic capabilities and network benefits," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 13(1), pages 117-146.
    16. Maximilian Unger & Wolfgang Polt, 2017. "The Knowledge Triangle between Research, Education and Innovation – A Conceptual Discussion," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 11(2), pages 10-26.
    17. Fabíola Loyola Provedel Toscano & Emerson Wagner Mainardes & Sarah Venturim Lasso, 2017. "Exploring Challenges in University Technology Transfer in Brazil," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(04), pages 1-28, August.
    18. Blanca L. Delgado-Márquez & Marcos García-Velasco, 2018. "Geographical Distribution of the European Knowledge Base Through the Lens of a Synthetic Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 477-496, April.
    19. Mao, Chongfeng & Yu, Xianyun & Zhou, Qing & Harms, Rainer & Fang, Gang, 2020. "Knowledge growth in university-industry innovation networks – Results from a simulation study," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    20. Francesco Polese & Carmen Gallucci & Luca Carrubbo & Rosalia Santulli, 2021. "Predictive Maintenance as a Driver for Corporate Sustainability: Evidence from a Public-Private Co-Financed R&D Project," Sustainability, MDPI, vol. 13(11), pages 1-21, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:149:y:2019:i:c:s0040162519311941. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.