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Stakeholder Perceptions and Word-of-Mouth on CSR Dynamics: A Big Data Analysis from Twitter

Stakeholder Perceptions and Word-of-Mouth on CSR Dynamics: A Big Data Analysis from Twitter

Andrée Marie López-Fernández, Zamira Burgos Silva
Copyright: © 2021 |Pages: 15
ISBN13: 9781799890201|ISBN10: 1799890201|EISBN13: 9781799890218
DOI: 10.4018/978-1-7998-9020-1.ch058
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MLA

López-Fernández, Andrée Marie, and Zamira Burgos Silva. "Stakeholder Perceptions and Word-of-Mouth on CSR Dynamics: A Big Data Analysis from Twitter." Research Anthology on Strategies for Using Social Media as a Service and Tool in Business, edited by Information Resources Management Association, IGI Global, 2021, pp. 1165-1179. https://doi.org/10.4018/978-1-7998-9020-1.ch058

APA

López-Fernández, A. M. & Silva, Z. B. (2021). Stakeholder Perceptions and Word-of-Mouth on CSR Dynamics: A Big Data Analysis from Twitter. In I. Management Association (Ed.), Research Anthology on Strategies for Using Social Media as a Service and Tool in Business (pp. 1165-1179). IGI Global. https://doi.org/10.4018/978-1-7998-9020-1.ch058

Chicago

López-Fernández, Andrée Marie, and Zamira Burgos Silva. "Stakeholder Perceptions and Word-of-Mouth on CSR Dynamics: A Big Data Analysis from Twitter." In Research Anthology on Strategies for Using Social Media as a Service and Tool in Business, edited by Information Resources Management Association, 1165-1179. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-9020-1.ch058

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Abstract

Corporate social responsibility is a strategy by which firms address social issues whilst tending to their profit enhancing objectives. However, is a socially responsible firm fulfilling its objectives if current and potential stakeholders perceive it to be unethical, engaging in poor and questionable practices? The article analyzes Big Data retrieved from Twitter related to five firms that have stated to be socially responsible but have yet to obtain stakeholders' legitimacy granted by the engagement in corporate social responsibility. The article contributes to the understanding and effects of firm dynamics in corporate social responsibility or lack thereof, on social networking sites by means of Big Data analysis.

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