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Improving Performance Feedback Perceptions Through Motivating Language Use

Author

Listed:
  • HANKE Doreen

    (McNeese State University, USA)

  • ALIKAJ Albi

    (Jacksonville State University, USA)

  • PATEL Prity

    (Wayne State University, USA)

Abstract

This study examines the link between leader motivating language and follower performance feedback perceptions It also explores whether follower/leader gender compositions moderate this relationship. Results show that a follower’s performance feedback perceptions benefit from a leader’s use of motivating language. This relationship is further positively moderated by the presence of certain follower/leader gender matches and mismatches. The results provide support for a stronger use of motivating language in diverse workforces. This characteristic gives motivating language the potential to support diversity in organizations. Implications of the study’s findings and future avenues for research are discussed. Considering the increasing need for more effective performance reviews, motivating language might be one of the future tools to increase their positive perceptions and ultimate success, especially in a diverse workforce.

Suggested Citation

  • HANKE Doreen & ALIKAJ Albi & PATEL Prity, 2022. "Improving Performance Feedback Perceptions Through Motivating Language Use," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 17(2), pages 124-140, August.
  • Handle: RePEc:blg:journl:v:17:y:2022:i:2:p:124-140
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    File URL: http://magazines.ulbsibiu.ro/eccsf/RePEc/blg/journl/17208hanke.pdf
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    References listed on IDEAS

    as
    1. Sandra Gutierrez-Wirsching & Jacqueline Mayfield & Milton Mayfield & Wei Wang, 2015. "Motivating language as a mediator between servant leadership and employee outcomes," Management Research Review, Emerald Group Publishing Limited, vol. 38(12), pages 1234-1250, December.
    2. Jacqueline Mayfield & Milton Mayfield, 2018. "Motivating Language Theory," Springer Books, Springer, number 978-3-319-66930-4, November.
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