Signaling strategies for ISO 26000: a firm-level approach

Author:

Moratis Lars

Abstract

Purpose The purpose of this article is to shed light on some important limitations of the ISO 26000 standard for corporate social responsibility (CSR) for the credible communication of corporate CSR claims. The article aims to identify and explore firm-level strategies to signal adherence to the standard effectively and their legitimacy consequences for the standard. Design/methodology/approach The identification of firm-level signaling strategies is mainly derived from an institutional description of the ISO 26000 standard and based on anecdotal evidence from current business practice, initiatives that have been taken worldwide by organizations such as national standards institutes, the ISO 26000 text and adjacent ISO documents, including ISO post-publication surveys. The article is grounded in signalling theory. Findings Five signaling strategies for firms are derived and explored which may reduce information asymmetries and engage in efficacious signaling of their underlying CSR quality and thus guide the communication of firms’ adherence to the ISO 26000 standard. Research limitations/implications The findings urge to empirically investigate the use of ISO 26000 signaling strategies including their legitimacy consequences for firms. Practical implications The findings of this article have implications for decisions firms make when considering working with ISO 26000 and communicating their adherence, notably regarding the enhancement of the credibility of their CSR claims. Also, it offers suggestions for certification organizations, national standards bodies and policy makers that want to encourage the adoption of CSR standards, ISO 26000 in particular. Originality/value This article is the first one to address inherent signaling problems of ISO 26000 and to identify signaling strategies to counter these problems in a structured way.

Publisher

Emerald

Subject

Management of Technology and Innovation,Strategy and Management,General Decision Sciences

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