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Using big data to evaluate corporate social responsibility and sustainable development practices

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  • Adriana Barbeito‐Caamaño
  • Ricardo Chalmeta

Abstract

This paper shows an alternative method to evaluate sustainable development and corporate social responsibility (CSR) practices based on the opinions of companies' stakeholders expressed on Twitter. An application of the method is performed with the Inditex textile group. This paper shows two important findings: (a) knowledge about companies' CSR practices and stakeholders opinions can be obtained using big data to analyse CSR information about the company on online social networks; and (b) there are important differences between the contents of the sustainability report of a company and the CSR opinions of its stakeholders on the internet. These findings have benefits for the company's stakeholders, who will be able to know the CSR practices of a company in a more objective way, and for the company, which will be able to improve its CSR performance and communication strategy, as well as the stakeholder engagement.

Suggested Citation

  • Adriana Barbeito‐Caamaño & Ricardo Chalmeta, 2020. "Using big data to evaluate corporate social responsibility and sustainable development practices," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(6), pages 2831-2848, November.
  • Handle: RePEc:wly:corsem:v:27:y:2020:i:6:p:2831-2848
    DOI: 10.1002/csr.2006
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    References listed on IDEAS

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    Cited by:

    1. Michele Galeotti & Rosa Lombardi & Paola Paoloni & Fabiana Roberto, 2022. "Big data and sustainability reports: The current approach to non-accounting data management," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2 Suppl.), pages 95-116.
    2. Miao Li, 2023. "Green governance and corporate social responsibility: The role of big data analytics," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 773-783, April.
    3. Pengyu Chen & Yuanyuan Hao, 2022. "Digital transformation and corporate environmental performance: The moderating role of board characteristics," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1757-1767, September.
    4. Choi, Hyoung-Yong & Park, Junyoung, 2022. "Do data-driven CSR initiatives improve CSR performance? The importance of big data analytics capability," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    5. Ignatov, Konstantin, 2023. "When ESG talks: ESG tone of 10-K reports and its significance to stock markets," International Review of Financial Analysis, Elsevier, vol. 89(C).
    6. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).

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