Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 284

The DOI matches its Crossref record; 172 of the 172 references it cites were found in a registry or an index.

When Job Performance is All Relative: How Family Motivation Energizes Effort and Compensates for Intrinsic Motivation

Open access
Menges, Jochen I., Tussing, Danielle V., Wihler, Andreas, Grant, Adam M.·2017·Academy of Management Journal

Abstract

Supporting one’s family is a major reason why many people work, yet surprisingly little research has examined the implications of family motivation. Drawing on theories of prosocial motivation and action identification, we propose that family motivation increases job performance by enhancing energy and reducing stress, and it is especially important when intrinsic motivation is lacking. Survey and diary data collected across multiple time points in a Mexican maquiladora generally support our model. Specifically, we find that family motivation enhances job performance when intrinsic motivation is low—in part by providing energy, but not by reducing stress. We conclude that supporting a family provides a powerful source of motivation that can boost performance in the workplace, offering meaningful implications for research on motivation and the dynamics of work and family engagement.

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 · 10.5465/amj.2014.0898

Cites

172 of 172 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 172 references

Metadata

Authors
Menges, J. I., Tussing, D. V., Wihler, A., & Grant, A. M.
Venue
Academy of Management Journal
Published
2017-04
Volume
60
Issue
2
Pages
695-719
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2288907447
Cited by
284
References
172
FWCI
38.11
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: When Job Performance is All Relative: How Family Motivation Energizes Effort and Compensates for Intrinsic Motivation. https://app.cochat.ai/papers/10.5465/amj.2014.0898
The paper
Menges, J. I., Tussing, D. V., Wihler, A., & Grant, A. M. (2017). When Job Performance is All Relative: How Family Motivation Energizes Effort and Compensates for Intrinsic Motivation. Academy of Management Journal. https://doi.org/10.5465/amj.2014.0898

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.