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Editorial verdict
Methodologically adequate but limited in scope: the core finding that telework intensity increases perceived uncertainty and reduces externally-focused proactive behaviours is supported, but the small China-only sample, supervisor rating limitations for covert behaviours, and unresolved discriminant validity concerns for pro-self proactive behaviour mean the findings warrant cautious interpretation rather than direct application.
Executive summary
This study investigates how telework intensity differentially influences three foci of proactive behaviour — pro-organizational (POPB), prosocial (PSPB), and pro-self (PFPB) — using uncertainty management theory and media richness theory as the theoretical foundation. The authors argue that telework intensity generates perceived uncertainty (PU) by reducing information richness and evaluative visibility, and that this uncertainty suppresses externally directed proactive behaviours while leaving self-directed behaviour unaffected. A two-wave, multi-source survey was conducted with 212 employee–supervisor dyads across multiple Chinese provinces. Confirmatory factor analysis and moderated mediation modelling were employed. Results confirmed that telework intensity positively predicts PU, which in turn significantly reduces POPB and PSPB but not PFPB. Media richness significantly moderates the telework–uncertainty relationship: at high media richness, the positive effect of telework intensity on PU becomes non-significant, and indirect negative effects on POPB and PSPB are eliminated. The hypothesised positive effect of PU on PFPB was not supported, attributed partly to measurement observability limitations. The study positions media richness as a technologically contingent boundary condition in telework research.
Key insights
- 1Telework intensity increases perceived uncertainty primarily by reducing access to nonverbal informational cues and limiting employees' evaluative visibility to supervisors and colleagues.
- 2Perceived uncertainty differentially suppresses externally directed proactive behaviours (pro-organizational and prosocial) while leaving pro-self, self-directed development behaviour statistically unaffected — suggesting that behaviours with higher interpersonal risk and external dependence are more vulnerable to uncertainty.
- 3Media richness functions as a critical boundary condition: when communication technologies provide high richness (immediate feedback, multiple cues, language variety, personal focus), the telework–uncertainty link is effectively dissolved, eliminating downstream negative effects on proactive behaviour.
Practical takeaways
- Organizations relying on telework arrangements may observe reduced employee initiative in organization- and colleague-directed activities, particularly when communication tools are low in richness; monitoring these dimensions of proactive contribution during remote work warrants managerial attention.
- Investment in high-richness digital communication tools (e.g., video conferencing, collaborative platforms) alongside training in their effective use may attenuate the psychological uncertainty associated with telework intensity, with implications for how remote work policies are designed and evaluated.
Frameworks mentioned
Uncertainty Management Theory
A theoretical framework proposing that perceived uncertainty arises from insufficient external information or unclear self-perceptions, motivating individuals to reduce it through avoidance or predictability-restoring behaviours; applied here to explain how telework-induced uncertainty shapes proactive behaviour.
Media Richness Theory
A theory by Daft and Lengel (1984, 1986) positing that communication media vary in their capacity to convey information richness, characterised by immediate feedback, multiple cues, language variety, and personal focus; used here to explain how communication technology moderates the telework–uncertainty relationship.
References
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Source & Provenance
Not specified
Yixin Zhang, Weipeng Lin, Mengli Liu, Huijuan Wang
October 29, 2026
Research Study
Asia-Pacific
Original source metadata is preserved. AI analysis is generated separately.
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