SILENCED IN CYBERSPACE: HOW DIGITAL OSTRACISM AND SOCIAL UNDERMINING ERODE ORGANIZATIONAL IDENTITY IN THE AGE OF REMOTE WORK
Keywords:
Cyber Ostracism, Social undermining, Employee silence, organizational identity, Machine learning, Employees, Organizational environment, PakistanAbstract
Purpose: This study examines the influence of social undermining and cyber ostracism on organizational identity through the mediating role of dimensional employee silence. Additionally, it investigates organizational virtuousness as a moderating factor in these relationships, focusing on Pakistani organizations.
Design/methodology/approach: The research employs a novel hybrid methodology combining PLS-SEM with machine learning approaches to analyze data collected from Pakistani organizational employees. This integration enables both relationship testing and predictive modelling to validate the hypothesized causal links.
Findings: Results reveal significant negative influences of cyber-ostracism and social undermining on organizational identity, mediated by employee silence dimensions. Organizational virtuousness showed mixed moderating effects. ML modelling confirmed these findings, highlighting cyber-ostracism and undermining as destructive elements that amplify employee silence.
Research limitations: The study was limited to Pakistani organizations, potentially affecting generalizability. The cross-sectional nature of data may limit causal inferences. Reliance on self-reported measures could introduce common method bias.
Practical implications: Organizations should recognize and address cyber-ostracism and social undermining as toxic elements that foster employee silence. Results suggest that organizational virtuousness alone is insufficient to counter these negative influences, indicating a need for more comprehensive interventions.
Social implications: Findings highlight the growing impact of digital workplace behaviours on organizational dynamics and employee well-being. Understanding these relationships can help create more inclusive and psychologically safe work environments.
Originality/value: The study pioneers the integration of ML with PLS-SEM in organizational behaviour research. It provides novel insights into the interplay between digital workplace behaviours, social undermining, and organizational identity in an emerging economy context.
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