Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 283

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Smart Working: Work Flexibility Without Constraints

Open access
Angelici, Marta, Profeta, Paola·2024·Management Science

Abstract

Does removing constraints on the time and place of work benefit the utility of workers and firms? We design a randomized experiment of a sample of workers in a large Italian company; workers are randomly divided into a treated group that engages in flexible place and time of work (which we call “smart working”) one day per week for nine months and a control group that continues to work traditionally. By comparing the treated and control groups, we find causal evidence that the flexibility of smart working increases the productivity of workers. We estimate a decrease of one day of leave on average per month, and we exclude a significant decline in objective productivity in any month. We also find sizeable improvements in well-being and work–life balance, and we observe that men also increase the time dedicated to household and care activities. This paper was accepted by Yan Chen, behavioral economics and decision analysis. Funding: This work was supported by the Italian Presidency of the Council of Ministries and European Commission (Italy’s Department for Equal Opportunities and t). Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2023.4767 .

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1287/mnsc.2023.4767

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 35 references

Cited by

See all 283

Metadata

Authors
Angelici, M., & Profeta, P.
Venue
Management Science
Published
2024-03
Volume
70
Issue
3
Pages
1680-1705
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W3012048021
Cited by
283
References
35
FWCI
37.68
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Smart Working: Work Flexibility Without Constraints. https://app.cochat.ai/papers/10.1287/mnsc.2023.4767
The paper
Angelici, M., & Profeta, P. (2024). Smart Working: Work Flexibility Without Constraints. Management Science. https://doi.org/10.1287/mnsc.2023.4767

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.