Walk the talk? How symbolic and substantive CSR actions affect firm performance depending on stakeholder proximity

Edinger-Schons, Laura Marie ; Steinmeier, Maria

DOI: https://doi.org/10.1002/csr.1381
URL: https://www.researchgate.net/publication/281196124...
Additional URL: http://onlinelibrary.wiley.com/doi/10.1002/csr.138...
Document Type: Article
Year of publication: 2016
The title of a journal, publication series: Corporate Social Responsibility and Environmental Management
Volume: 23
Issue number: 6
Page range: 358-372
Place of publication: Chichester
Publishing house: Wiley-Blackwell
ISSN: 1535-3958 , 1535-3966
Publication language: English
Institution: Business School > Sustainable Business (Edinger-Schons 2015-2022)
Subject: 650 Management
Keywords (English): Corporate Social Responsibility (CSR) , symbolic and substantive CSR actions , stakeholder proximity , neo-institutional theory, stakeholder theory , corporate citizenship , employee support , green-washing , decoupling
Abstract: Drawing on neo-institutional and stakeholder theory, this study examines the link between a firm’s corporate social responsibility (CSR) actions and its financial performance. The authors investigate whether and how a firm’s symbolic (“talk”) and substantive (“walk”) CSR actions, alone or combined, affect financial performance depending on the main stakeholder group they are directed at (i.e., high-proximity internal stakeholders such as employees versus low-proximity external stakeholders such as customers or the wider society). In a comparison of two domains targeting either high- or low-proximity stakeholders, results show that substantive/symbolic CSR actions have a positive impact/no impact on financial performance if directed toward high-proximity stakeholders, and that the opposite is true of actions directed at low-proximity stakeholders. Further, results show that low-proximity stakeholders have greater difficulty distinguishing between mere talk and real walk. The study relies on an international, cross-industry dataset from Thomson Reuters’ Asset4ESG and Datastream from 2002 to 2011.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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