López-Fernández, Andreé Marie
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Preferred name
López-Fernández, Andreé Marie
Official Name
López Fernández, Andreé Marie
Alternative Name
alopezf
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ORCID
Scopus Author ID
57008863200
Researcher ID
DEJ-8012-2022

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Stakeholder Influence on Decision Making: From e-Movements (#metoo) to Corporate Social Responsibility Policy

2019 , López-Fernández, Andreé Marie

Firms that report engagement in corporate social responsibility strive for both business and social growth and development by being proactive in tending to stakeholders’ needs and wants. In the midst of the #metoo movement, organizations around the world are confronted with the challenge of addressing current and potential stakeholders’ online and offline demands to do the right thing, as well as maintain their right to operate. The question, then, is how does stakeholder voice via social networking sites influence organizational decision making? This study contributes to the understanding of stakeholders’ role in the development of organizations’ standards and policies, by exploring the legitimacy of organizations’ engagement in corporate social responsibility in the midst of the #metoo movement. ©2020 The Author, Springer Nature Switzerland AG.

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Stakeholder perceptions and word-of-mouth on CSR dynamics : a big data analysis from Twitter

2018 , López-Fernández, Andreé Marie , Burgos Silva, Zamira

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. Copyright © 2018, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

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