A Person-Environment Fit Model to Explain Information and Communication Technologies-Enabled After-Hours Work-Related Interruptions in China.

Abstract

Given the ubiquitous nature of mobile devices and information and communication technologies (ICT), after-hours work-related interruptions (AHWI) occur anywhere and anytime in China. In the current study, an alternative person-environment (P-E) fit model of ICT-enabled AHWI, hereafter referred to as IAWI, that treats polychronic variables as moderated solutions are presented. A cross-sectional survey among 277 Chinese employees (average age: 32.04 years) was conducted in September 2022 and tested by PLS-structural equation modeling to validate our hypotheses. The results indicated that IAWI had a positive influence on employees' innovative job performance and in-role job performance (β = 0.139, p < 0.05; β = 0.200, p < 0.01; β = 0.298, p < 0.001). Moreover, among employees with higher levels of polychronicity, the heightened effects of IAWI on innovative job performance were increased (β = 0.112, p < 0.05). This study offers implications for employees: under IAWI situations, they could search for a person-environment (P-E) that is fit to buffer the negative aspects of IAWI, consequently increasing their innovative job performance and in-role job performance. Future research could extend beyond this framework to explore employees' IAWI and job performance balance.