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1000 Titel
  • The Benefits of Forgiveness at Work: A Longitudinal Investigation of the Time-Lagged Relations Between Forgiveness and Work Outcomes
1000 Autor/in
  1. Cao, Wenrui |
  2. van der Wal, Reine C. |
  3. Taris, Toon W. |
1000 Verlag
  • Frontiers Media S.A.
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-27
1000 Erschienen in
1000 Quellenangabe
  • 12:710984
1000 Copyrightjahr
  • 2021
1000 Embargo
  • 2022-01-29
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fpsyg.2021.710984 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353125/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Abstract/Summary
  • <jats:p>Forgiveness has received increasing attention in the work context. Although recent cross-sectional studies have found a positive link between forgiveness and work outcomes, further research examining the temporal dynamics between these variables is needed to establish causality. This preregistered panel study investigated the time-lagged relations between forgiveness and work outcomes, and specifically addressed the question whether forgiving a coworker benefits work outcomes. Longitudinal survey data were collected at four time points among 139 Chinese employees working at least 20 hours per week. Results from cross-lagged panel models revealed that forgiving an offending coworker with whom one has a relatively good work relationship predicted better work outcomes (i.e., higher job satisfaction, higher work engagement, and lower burnout) over time, while controlling for perceived severity of the offense. Evidence for the reverse effect (with work outcomes predicting forgiveness) was not found. Our findings thus suggest that forgiveness facilitates well-being-related work outcomes. Implications for a better understanding of forgiveness in work relationships are discussed.</jats:p>
1000 Sacherschließung
lokal interpersonal relationships
lokal forgiveness
lokal well-being
lokal Psychology
lokal cross-lagged panel model
lokal work outcomes
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/Q2FvLCBXZW5ydWk=|https://frl.publisso.de/adhoc/uri/dmFuIGRlciBXYWwsIFJlaW5lIEMu|https://frl.publisso.de/adhoc/uri/VGFyaXMsIFRvb24gVy4=
1000 Hinweis
  • DeepGreen-ID: b80e7884f4584beca0d06a5df6b51768 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. China Scholarship Council |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
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    1000 Förderer China Scholarship Council |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6479708.rdf
1000 Erstellt am 2024-05-21T23:30:15.895+0200
1000 Erstellt von 322
1000 beschreibt frl:6479708
1000 Zuletzt bearbeitet Wed May 22 14:24:11 CEST 2024
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1000 Vgl. frl:6479708
1000 Oai Id
  1. oai:frl.publisso.de:frl:6479708 |
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