The ESG Resonance Model (ESGRM): Conceptualising Communication Fatigue and Organisational Burnout within Sustainable Strategy

Thejan Anil
Additional contact information
Thejan Anil: Self-Employed

No hquka_v2, SocArXiv from Center for Open Science

Abstract: The ESG Resonance Model (ESGRM) conceptualises how organisational communication, employee psychology, and stakeholder perception interact within the ESG landscape. It argues that stakeholder fatigue and organisational burnout are interconnected outcomes of communicative overload and misalignment between intent and action. Building on burnout theory (Maslach & Leiter, 1997) and the Job Demands–Resources framework (Demerouti et al., 2001), ESGRM integrates five domains—signal quality, signal intensity, alignment, assurance, and employee sense-making—within a quarterly feedback loop. The model proposes that when communication clarity and internal coherence are high, resonance strengthens, fostering trust and authenticity. Conversely, excessive signalling without alignment accelerates fatigue and erodes legitimacy. ESGRM thus functions as both a diagnostic and corrective framework, guiding organisations to evaluate and refine their communicative balance. Though conceptual in nature, it provides a foundation for future empirical testing through sentiment analysis and longitudinal feedback, positioning ESGRM as a dynamic bridge between communication theory and sustainable organisational strategy.

Date: 2025-11-10
New Economics Papers: this item is included in nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/691383c4c78843b03eddd89d/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:hquka_v2

DOI: 10.31219/osf.io/hquka_v2

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().