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Insider stories: Analyzing Internal Sustainability Efforts of major US companies from online reviews

Sen, Indira; Quercia, Daniele; Capra, Licia; Montecchi, Matteo; Šćepanović, Sanja; (2023) Insider stories: Analyzing Internal Sustainability Efforts of major US companies from online reviews. Humanities and Social Sciences Communications , 10 , Article 309. 10.1057/s41599-023-01672-4. Green open access

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Abstract

It is hard to establish whether a company supports internal sustainability efforts (ISEs) like gender equality, diversity, and general staff welfare, not least because of a lack of methodologies operationalizing these internal sustainability practices, and of data honestly documenting such efforts. We developed and validated a six-dimension framework reflecting Internal Sustainability Efforts (ISEs), gathered more than 350K employee reviews of 104 major companies across the whole US for the (2008-2020) years, and developed a deeplearning framework scoring these reviews in terms of the six ISEs. Commitment to ISEs manifested itself at the micro-level—companies scoring high in ISEs enjoyed high stock growth. This new conceptualization of ISEs offers both theoretical implications for the literature on corporate sustainability and practical implications for companies and policy makers. To further explore these implications, researchers need to add potentially missing ISEs, to do so for more companies, and establish the causal relationship between company success and ISEs.

Type: Article
Title: Insider stories: Analyzing Internal Sustainability Efforts of major US companies from online reviews
Open access status: An open access version is available from UCL Discovery
DOI: 10.1057/s41599-023-01672-4
Publisher version: https://doi.org/10.1057/s41599-023-01672-4
Language: English
Additional information: Copyright © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10168172
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