IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i1d10.1007_s11135-022-01351-7.html
   My bibliography  Save this article

Sociology between big data and research frontiers, a challenge for educational policies and skills

Author

Listed:
  • Stefania Capogna

    (Link Campus University)

Abstract

The paper focuses on the challenges posed within sociology and social research by the transformations created by the “data society”. To this end, the paper outlines some of the most significant elements for new frontier research which sociology is forced to confront also in relation to the challenges for educational policies and skills. While leading literature decries the need to promote alphabetising data, otherwise defined as data literacy, the idea proposed here is that it is necessary to work towards understanding data. An understanding that highlights the role sociology has firmly set itself since its foundation, that of studying and explaining the complexity of the relationships that characterize social life in every context and period.

Suggested Citation

  • Stefania Capogna, 2023. "Sociology between big data and research frontiers, a challenge for educational policies and skills," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 193-212, February.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:1:d:10.1007_s11135-022-01351-7
    DOI: 10.1007/s11135-022-01351-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01351-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-022-01351-7?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. Fronzetti Colladon, Andrea, 2018. "The Semantic Brand Score," Journal of Business Research, Elsevier, vol. 88(C), pages 150-160.
    2. Robert Smith, 1988. "Linking quality & quantity," Quality & Quantity: International Journal of Methodology, Springer, vol. 22(1), pages 3-30, March.
    3. Keshav Singh Rawat & Sandeep Kumar Sood, 2021. "Emerging trends and global scope of big data analytics: a scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1371-1396, August.
    4. Emma Davidson & Rosalind Edwards & Lynn Jamieson & Susie Weller, 2019. "Big data, qualitative style: a breadth-and-depth method for working with large amounts of secondary qualitative data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 363-376, January.
    5. Zhang, Yucheng & Xu, Shan & Zhang, Long & Yang, Mengxi, 2021. "Big data and human resource management research: An integrative review and new directions for future research," Journal of Business Research, Elsevier, vol. 133(C), pages 34-50.
    6. Halford, Susan & Savage, Mike, 2017. "Speaking sociologically with big data: symphonic social science and the future for big data research," LSE Research Online Documents on Economics 87236, London School of Economics and Political Science, LSE Library.
    7. Roberto Franzosi, 2021. "What’s in a text? Bridging the gap between quality and quantity in the digital era," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1513-1540, August.
    Full references (including those not matched with items on IDEAS)

    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. Sepideh Fahimifar & Khadijeh Mousavi & Fatemeh Mozaffari & Marcel Ausloos, 2023. "Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3685-3712, August.
    2. Alnoor Bhimani, 2020. "Digital data and management accounting: why we need to rethink research methods," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 9-23, April.
    3. Schlaile, Michael P. & Bogner, Kristina & Muelder, Laura, 2021. "It’s more than complicated! Using organizational memetics to capture the complexity of organizational culture," Journal of Business Research, Elsevier, vol. 129(C), pages 801-812.
    4. Rovelli, Paola & Benedetti, Carlotta & Fronzetti Colladon, Andrea & De Massis, Alfredo, 2022. "As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity," Journal of Business Research, Elsevier, vol. 139(C), pages 692-700.
    5. Advani, Arun, 2021. "Missing Incomes in the UK : Evidence and Policy Implications," The Warwick Economics Research Paper Series (TWERPS) 1364, University of Warwick, Department of Economics.
    6. Dr. Zahra Ishtiaq Paul & Hafiz Muhammad Sohail Khan, 2024. "Reshaping the future of HR: Human Resource Analytics and Talent Management," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 332-340.
    7. Rosalind Edwards & Susie Weller & Emma Davidson & Lynn Jamieson, 2023. "Small Stories of Home Moves: A Gendered and Generational Breadth-and-Depth Investigation," Sociological Research Online, , vol. 28(1), pages 210-227, March.
    8. Sergi, Bruno S. & Ključnikov, Aleksandr & Popkova, Elena G. & Bogoviz, Aleksei V. & Lobova, Svetlana V., 2022. "Creative abilities and digital competencies to transitioning to Business 4.0," Journal of Business Research, Elsevier, vol. 153(C), pages 401-411.
    9. A. Fronzetti Colladon & S. Grassi & F. Ravazzolo & F. Violante, 2020. "Forecasting financial markets with semantic network analysis in the COVID-19 crisis," Papers 2009.04975, arXiv.org, revised Jul 2023.
    10. Bishwa Mukherjee, 1993. "Toward a rapprochement between the two basic paradigms of educational research," Quality & Quantity: International Journal of Methodology, Springer, vol. 27(4), pages 383-410, November.
    11. Laura Toschi & Elisa Ughetto & Andrea Fronzetti Colladon, 2023. "The identity of social impact venture capitalists: exploring social linguistic positioning and linguistic distinctiveness through text mining," Small Business Economics, Springer, vol. 60(3), pages 1249-1280, March.
    12. Mariangela Vespa & Timo Kortsch & Jan Hildebrand & Petra Schweizer-Ries & Sara Alida Volkmer, 2022. "Not All Places Are Equal: Using Instagram to Understand Cognitions and Affect towards Renewable Energy Infrastructures," Sustainability, MDPI, vol. 14(7), pages 1-19, March.
    13. M. Morales, 1995. "Uses of qualitative/quantitative terms in social and educational research," Quality & Quantity: International Journal of Methodology, Springer, vol. 29(1), pages 39-53, February.
    14. Paola Belingheri & Filippo Chiarello & Andrea Fronzetti Colladon & Paola Rovelli, 2021. "Twenty years of gender equality research: A scoping review based on a new semantic indicatorr," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-27, September.
    15. Barchiesi, Maria Assunta & Fronzetti Colladon, Andrea, 2021. "Corporate core values and social responsibility: What really matters to whom," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    16. Sara Slamić Tarade, 2023. "Discovering the Significance of Sports Footwear Brands through Text Analysis ," GATR Journals jmmr326, Global Academy of Training and Research (GATR) Enterprise.
    17. Chong, Woon Kian & Chang, Chiachi, 2024. "Information exploitation of human resource data with persistent homology," Journal of Business Research, Elsevier, vol. 172(C).
    18. Mariana Madruga de Brito & Danny Otto & Christian Kuhlicke, 2021. "Tracking Topics and Frames Regarding Sustainability Transformations during the Onset of the COVID-19 Crisis," Sustainability, MDPI, vol. 13(19), pages 1-19, October.
    19. Chih-Hsing Liu & Jeou-Shyan Horng & Sheng-Fang Chou & Tai-Yi Yu & Yung-Chuan Huang & Jun-You Lin, 2023. "Integrating big data and marketing concepts into tourism, hospitality operations and strategy development," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1905-1922, April.
    20. Vestrelli, Roberto & Fronzetti Colladon, Andrea & Pisello, Anna Laura, 2024. "When attention to climate change matters: The impact of climate risk disclosure on firm market value," Energy Policy, Elsevier, vol. 185(C).

    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:spr:qualqt:v:57:y:2023:i:1:d:10.1007_s11135-022-01351-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.