Disaffection at Work: Employee Responses to Job-Related Information

[2608.27538] Disaffection at Work: Employee Responses to Job-Related Information Skip to main content Search Submit Donate Log in Economics > General Economics arXiv:2608.27538 (econ) [Submitted on 27 Aug 2026] Title: Disaffection at Work: Employee Responses to Job-Related Information Authors: Beatrice Braut , Mariele Macaluso , Vincenzo Mollisi View PDF HTML (experimental) Abstract: Quiet quitting reflects a form of worker disaffection that operates along the intensive margin of labor supply rather than through job exit. We study how alternative workplace narratives shape workers' behavioral responses using a randomized survey experiment on a representative sample of employees in Italy and France. Respondents are exposed to empirically grounded moral framings of work emphasizing either social justice and collective rights or work organization and employment practices. We find that moral framings reallocate behavior across margins: justice-oriented narratives increase detachment while reducing passive disengagement, whereas organization-centered framing generates no systematic effects. Subjects: General Economics (econ.GN) Cite as: arXiv:2608.27538 [econ.GN] (or arXiv:2608.27538v1 [econ.GN] for this version) https://doi.org/10.48550/arXiv.2608.27538 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Mariele Macaluso Dr [ view email ] [v1] Thu, 27 Aug 2026 15:59:59 UTC (1,920 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: econ.GN < prev | next > new | recent | 2026-08 Change to browse by: econ q-fin q-fin.EC References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

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