Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/91663
Title: Walking the talk about corporate social responsibility communication : An Elaboration Likelihood Model perspective
Authors: Camilleri, Mark Anthony
Keywords: Communication
Digital media
Online identities
Social responsibility of business
Mass media
Statistics -- Graphic methods
Structural equation modeling
Online data processing
Information technology
Issue Date: 2022-03
Publisher: Wiley
Citation: Camilleri, M.A. (2022). Walking the talk about corporate social responsibility communication: An Elaboration Likelihood Model perspective, Business Ethics, the Environment & Responsibility, https://onlinelibrary.wiley.com/doi/full/10.1111/beer.12427
Abstract: Large organizations, including listed businesses, financial service providers as well as public services entities are increasingly disclosing information on their environmental, social and governance (ESG) issues through corporate websites or via social media. Therefore, this research uses valid measures from the Elaboration Likelihood Model (ELM) to explore the individuals’ attitudes toward online corporate social responsibility (CSR) communications. The data was gathered from a structured questionnaire among three hundred ninety-two respondents (n=392). A structural equations modeling partial least squares (SEM-PLS 3) approach was used to analyze the data. The findings revealed that the timeliness, relevance and accuracy of information as well as the source expertise were highly significant antecedents that were affecting the research participants’ attitudes toward CSR communications. This contribution implies that there is scope for content curators to publish quality online information on their business activities to improve their trustworthiness and positive credentials among stakeholders.
URI: https://onlinelibrary.wiley.com/doi/full/10.1111/beer.12427
https://www.um.edu.mt/library/oar/handle/123456789/91663
Appears in Collections:Scholarly Works - FacMKSCC



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