EconPapers    
Economics at your fingertips  
 

How employee resilience contributes to digital performance: moderating role of enterprise social media usage

Ma Liang, Qi Zhihao, Zhang Ge, Zhang Xin and Feifei Hao

Behaviour and Information Technology, 2025, vol. 44, issue 4, 713-730

Abstract: In the context of the digital economy, one of the most important issues facing business managers is how to improve digital performance. However, the extant studies exploring this problem are quite limited. Based on information processing theory, this paper proposes a research model to investigate the relationship between employee resilience and digital performance, and the moderating role of enterprise social media usage. According to the analysis of data from 277 employees, this study finds that: (1) employee resilience has a positive effect on employee cognitive flexibility; (2) employee cognitive flexibility can positively influence digital performance, and the effect of employee cognitive flexibility on digital-enabled innovative performance is larger than the effect of employee cognitive flexibility on digital-enabled task performance; (3) both work-related social media usage and social-related social media usage exert a positive moderating effect between employee resilience and employee cognitive flexibility. The findings can help deepen the understanding of the relationship between employee resilience, employee cognitive flexibility, and digital performance, and give business managers suggestions on using enterprise social media to improve digital performance.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2024.2336603 (text/html)
Access to full text is restricted to subscribers.

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:taf:tbitxx:v:44:y:2025:i:4:p:713-730

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2024.2336603

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-22
Handle: RePEc:taf:tbitxx:v:44:y:2025:i:4:p:713-730