The adoption of remote work platforms after the Covid-19 lockdown: New approach, new evidence
Open accessAbstract
With the aim of providing further insights into the driving factors influencing behavioral intentions and expectations to use remote work after the Covid-19 lockdown, this study draws on an enhanced version of the technology acceptance model to analyze the determinants and moderating factors of remote work platform use. From an analysis of quantitative data collected from questionnaires and qualitative data from interviews with employees of Chinese firms in the service sector, we conclude that post-lockdown adoption of remote work is explained by three main variables: behavioral intention, behavioral expectation and facilitating conditions, but demographic characteristics and factors related to the specific features of remote work all nevertheless moderate the relationships in our model. In addition to gender, the generational gap and behavioral tendency should be taken into consideration to improve employee acceptance rates.
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Trust serves as a mitigating factor for privacy concerns.
“Trust also serves as a mitigating factor for privacy concerns [65,66]”
From Unraveling the Determinants of Platform Economy Adoption in Developing Countries: An Extended Application of the UTAUT2 Model with a Privacy Calculus Perspective (2023) · cites this paper as [66]
The Research methodology section says the interviews examined both privacy and trust, but does not describe trust as mitigating privacy concerns. The Discussion identifies privacy as a concern, while the Qualitative data analysis links trust to perceived efficiency instead. Searches for trust mitigating privacy concerns and for a trust–privacy relationship found no passage establishing the claimed effect. (LLM, conf=0.72)
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- Authors
- Sahut, J. M., & Lissillour, R.
- Affiliations
- IPAG Business School (FR)
- Corresponding author
- Sahut, Jean Michel
- ORCID
- Sahut, Jean Michel
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 154
- Pages
- 113345
- ISSN
- 0148-2963 (ISSN-L)
- PMC
- PMC9519525
- OpenAlex
- W4298008082
- Cited by
- 102
- References
- 86
- Citations by year
- 2026: 17 · 2025: 27 · 2024: 37 · 2023: 21
- FWCI
- 17.78
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Journal of Business Research (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Work-Family Balance Challenges
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
- Keywords
- remote work, technology adoption, technology acceptance model, behavioral intention, behavioral expectations, facilitating conditions, moderators, demographic differences, intergenerational differences, gender differences, service employees
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