Impact of Corporate Social Responsibility in mining industries
The mining sector plays a fundamental role in the global economy since it provides vital raw materials and energy for a large number of industries but mining activities are commonly criticized due to the effects on workers’ health and local communities, and are seen as a threat to society in general...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10459.1/71312 |
| Acceso en línea: | https://doi.org/10.1016/j.resourpol.2021.102117 http://hdl.handle.net/10459.1/71312 |
| Access Level: | acceso abierto |
| Palabra clave: | CSR Mining Big data Sentiment analysis |
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Impact of Corporate Social Responsibility in mining industriesPons, AdriàVintró Sánchez, CarlaRius Torrentó, Josep MariaVilaplana Mayoral, JordiCSRMiningTwitterBig dataSentiment analysisThe mining sector plays a fundamental role in the global economy since it provides vital raw materials and energy for a large number of industries but mining activities are commonly criticized due to the effects on workers’ health and local communities, and are seen as a threat to society in general. For these reasons, companies have to deal with the compatibility between the productive activity and the Corporate Social Responsibility (CSR). Under this context, this paper aims to examine CSR communication in the mining sector on Twitter and identify the main topics of CSR and the main participants in the creation of content. A software framework has been developed in order to manage big text data in the study of CSR and sentiment computational content analysis to classify the tweets as positive, negative or neutral. Twitter was chosen since it is one of the three most commonly used social network sites by mining companies for information sharing and stakeholder engagement. The data collection period was from February 2019 to December 2019 and it resulted in 2,000,000 Twitter posts. The results show the CSR debate is increasingly growing in developing countries and in countries with a bad reputation of environmental and health mining conditions. The debate is mainly centered on the impact of mining industries on the land, and many stakeholders advocate for more environmental responsibility since they consider that mining activities are still controversial. Also, results reveal that the mining sector should improve the CSR disclosure and adopt a stakeholder engagement strategy grounded in the corporate stakeholder relationship perspective, the two-way symmetrical communication, and the dialogic theory of public relations. Social network sites such as Twitter can lead to positive outcomes for companies since they are not only a way to advertise what the company does with regards to CSR, but also to receive input from other for their CSR activities.This work was supported by the Ministerio de Economía y Com-petitividad under contract TIN2017-84553-C2-2-R. Also, the authors are members of the research group 2017-SGR363, funded by the Generalitat de Catalunya. Finally, we thank Victor Ferrer for his contributionElsevier202120212021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1016/j.resourpol.2021.102117http://hdl.handle.net/10459.1/71312http://hdl.handle.net/10459.1/71312reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84553-C2-2-RReproducció del document publicat a https://doi.org/10.1016/j.resourpol.2021.102117Resources Policy, 2021, vol.72, 102117cc-by-nc-nd (c) Pons, et al., 2021info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:recercat.cat:10459.1/713122026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Impact of Corporate Social Responsibility in mining industries |
| title |
Impact of Corporate Social Responsibility in mining industries |
| spellingShingle |
Impact of Corporate Social Responsibility in mining industries Pons, Adrià CSR Mining Big data Sentiment analysis |
| title_short |
Impact of Corporate Social Responsibility in mining industries |
| title_full |
Impact of Corporate Social Responsibility in mining industries |
| title_fullStr |
Impact of Corporate Social Responsibility in mining industries |
| title_full_unstemmed |
Impact of Corporate Social Responsibility in mining industries |
| title_sort |
Impact of Corporate Social Responsibility in mining industries |
| dc.creator.none.fl_str_mv |
Pons, Adrià Vintró Sánchez, Carla Rius Torrentó, Josep Maria Vilaplana Mayoral, Jordi |
| author |
Pons, Adrià |
| author_facet |
Pons, Adrià Vintró Sánchez, Carla Rius Torrentó, Josep Maria Vilaplana Mayoral, Jordi |
| author_role |
author |
| author2 |
Vintró Sánchez, Carla Rius Torrentó, Josep Maria Vilaplana Mayoral, Jordi |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
CSR Mining Big data Sentiment analysis |
| topic |
CSR Mining Big data Sentiment analysis |
| description |
The mining sector plays a fundamental role in the global economy since it provides vital raw materials and energy for a large number of industries but mining activities are commonly criticized due to the effects on workers’ health and local communities, and are seen as a threat to society in general. For these reasons, companies have to deal with the compatibility between the productive activity and the Corporate Social Responsibility (CSR). Under this context, this paper aims to examine CSR communication in the mining sector on Twitter and identify the main topics of CSR and the main participants in the creation of content. A software framework has been developed in order to manage big text data in the study of CSR and sentiment computational content analysis to classify the tweets as positive, negative or neutral. Twitter was chosen since it is one of the three most commonly used social network sites by mining companies for information sharing and stakeholder engagement. The data collection period was from February 2019 to December 2019 and it resulted in 2,000,000 Twitter posts. The results show the CSR debate is increasingly growing in developing countries and in countries with a bad reputation of environmental and health mining conditions. The debate is mainly centered on the impact of mining industries on the land, and many stakeholders advocate for more environmental responsibility since they consider that mining activities are still controversial. Also, results reveal that the mining sector should improve the CSR disclosure and adopt a stakeholder engagement strategy grounded in the corporate stakeholder relationship perspective, the two-way symmetrical communication, and the dialogic theory of public relations. Social network sites such as Twitter can lead to positive outcomes for companies since they are not only a way to advertise what the company does with regards to CSR, but also to receive input from other for their CSR activities. |
| publishDate |
2021 |
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2021 2021 2021 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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https://doi.org/10.1016/j.resourpol.2021.102117 http://hdl.handle.net/10459.1/71312 http://hdl.handle.net/10459.1/71312 |
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https://doi.org/10.1016/j.resourpol.2021.102117 http://hdl.handle.net/10459.1/71312 |
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Inglés |
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Inglés |
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84553-C2-2-R Reproducció del document publicat a https://doi.org/10.1016/j.resourpol.2021.102117 Resources Policy, 2021, vol.72, 102117 |
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cc-by-nc-nd (c) Pons, et al., 2021 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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cc-by-nc-nd (c) Pons, et al., 2021 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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Elsevier |
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Elsevier |
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