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Determinants of Corporate Sustainability Message Sharing on Social Media: A configuration approach

Knight, H, Haddoud, MY and Megicks, P (2021) Determinants of Corporate Sustainability Message Sharing on Social Media: A configuration approach. Business Strategy and the Environment. ISSN 0964-4733

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Abstract

With an increasing number of consumers receiving information on social media, companies have adopted these channels to communicate their sustainability efforts. Digital channels enable reaching large audiences in a short period of time, and engaging consumers in message sharing activities to reap those rewards has its own challenges. Companies need to understand what increases sharing of their sustainability messages, but they must be mindful of not overstating their sustainability efforts which may be perceived as greenwashing. The Information Adoption Model is used to assess how message information quality and source credibility affect sharing of corporate sustainability messages. A fuzzy-set Qualitative Comparative Analysis is conducted on a survey of UK social media users (n= 527). Results show that dimensions of information quality and source credibility act in combination to influence sustainability message sharing. The study informs managers what to stress in social media message planning to facilitate effective sustainability communications.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Knight, H., Haddoud, M. Y., & Megicks, P. (2021). Determinants of corporate sustainability message sharing on social media: A configuration approach. Business Strategy and the Environment, 1– 15., which has been published in final form at https://doi.org/10.1002/bse.2941. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions
Uncontrolled Keywords: 0502 Environmental Science and Management, 1501 Accounting, Auditing and Accountability, 1503 Business and Management
Subjects: H Social Sciences > HF Commerce > HF5001 Business
Q Science > QA Mathematics > QA76 Computer software
Divisions: Business & Management (from Sep 19)
Publisher: ERP Environment
Date Deposited: 15 Nov 2021 10:51
Last Modified: 23 Nov 2023 00:50
DOI or ID number: 10.1002/bse.2941
URI: https://researchonline.ljmu.ac.uk/id/eprint/15780
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