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Corporate Social Responsibility and Social Network Analysis: Unionized Workers’ Perceptions
Corporate social responsibility (CSR) is a concept which has been approached from various perspectives and application areas. One of these areas regards how individuals perceive this concept and how their own personal characteristics define a given vision of business responsibility. The present study seeks to explore connections between individuals’ sociodemographic characteristics and CSR perception. By using unionized workers as research subjects, analysis techniques applied in Social Media and models based on metric spaces, we explore the attitudes of these subjects towards CSR. Both empirical and theoretical results provide evidence for the existence of a well-behaved relation between sociodemographic aspects and CSR dimensions, which future studies could approach in more depth using techniques based on machine learning.
Corporate Social Responsibility and Social Network Analysis: Unionized Workers’ Perceptions
Corporate social responsibility (CSR) is a concept which has been approached from various perspectives and application areas. One of these areas regards how individuals perceive this concept and how their own personal characteristics define a given vision of business responsibility. The present study seeks to explore connections between individuals’ sociodemographic characteristics and CSR perception. By using unionized workers as research subjects, analysis techniques applied in Social Media and models based on metric spaces, we explore the attitudes of these subjects towards CSR. Both empirical and theoretical results provide evidence for the existence of a well-behaved relation between sociodemographic aspects and CSR dimensions, which future studies could approach in more depth using techniques based on machine learning.
Corporate Social Responsibility and Social Network Analysis: Unionized Workers’ Perceptions
Felipe Lillo-Viedma (author) / Pedro Severino-González (author) / Valentin Santander-Ramírez (author) / Leidy Y. García (author) / Nataly Guiñez-Cabrera (author) / Nicolás Astorga-Bustos (author)
2022
Article (Journal)
Electronic Resource
Unknown
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