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Cited by 420

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

The Road to Reconciliation: Antecedents of Victim Willingness to Reconcile Following a Broken Promise

Tomlinson, Edward C., Dineen, Brian R., Lewicki, Roy J.·2004·Journal of Management

Abstract

The antecedents of victim willingness to reconcile a professional relationship following an incident involving a broken promise were examined in terms of offender tactics (i.e., nature of apology, timeliness of reparative act, sincerity) and relationship characteristics (i.e., nature of past relationship, probability of future violation) using a within- and between-subjects policy-capturing design. Relatively speaking, relationship characteristics were as strongly related to willingness to reconcile as offender tactics. Furthermore, we found moderating effects of magnitude of violation on the willingness to reconcile a relationship following a trust violation. In particular, nature of past relationship was weighed more heavily, whereas probability of future violation was weighed less heavily when the magnitude of the violation was greater. Practical implications and recommendations for future research are discussed.

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Crossref · 10.1016/j.jm.2003.01.003

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Metadata

Authors
Tomlinson, E. C., Dineen, B. R., & Lewicki, R. J.
Venue
Journal of Management
Published
2004-04
Volume
30
Issue
2
Pages
165-187
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
OpenAlex
W2066986027
Cited by
420
References
6
FWCI
5.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Road to Reconciliation: Antecedents of Victim Willingness to Reconcile Following a Broken Promise. https://app.cochat.ai/papers/10.1016/j.jm.2003.01.003
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Tomlinson, E. C., Dineen, B. R., & Lewicki, R. J. (2004). The Road to Reconciliation: Antecedents of Victim Willingness to Reconcile Following a Broken Promise. Journal of Management. https://doi.org/10.1016/j.jm.2003.01.003

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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.