Determinants of managerial perceptions of the impact of telework: The effect of information communication technology support, trust, and frequency of communication
José Manuel de la Torre-Ruiz and
Vera Ferrón-Vílchez
Technological Forecasting and Social Change, 2024, vol. 203, issue C
Abstract:
Considering teleworking's pros and cons on organizational performance and the importance of managers on teleworking maintenance, this study aims to analyze three resources that influence managers' perceptions of teleworkers' effectiveness during the COVID-19 pandemic. Using a sample of 170 small and medium enterprise managers in Spain, the hypotheses were empirically tested through path analysis, and the model was estimated using the maximum likelihood method. Based on the job demands-resources model, this study contributes to the teleworking literature by demonstrating how the frequency of communication with teleworkers and managers' trust in employees are positively related to managers' perceptions of the organizational impact of teleworking. These relationships are not direct but are mediated by the perceived effectiveness of organizational communication. These findings have important managerial implications as they indicate the context that ensures managers' support for teleworking. Although this study has some limitations, such as its focus on a specific country or its cross-sectional nature, it lays the foundation for future studies considering individual, organizational, or sectoral variables that could moderate the analyzed relationships.
Keywords: Telework; managers' perceptions; Communication frequency; Trust; ICT support (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162524001616
Full text for ScienceDirect subscribers only
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:eee:tefoso:v:203:y:2024:i:c:s0040162524001616
DOI: 10.1016/j.techfore.2024.123365
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().