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What's in a Word? Using Construal Level Theory to Predict Voice Endorsement

Authors: Bert Schreurs; Melvyn R. W. Hamstra; Tina Davidson;

What's in a Word? Using Construal Level Theory to Predict Voice Endorsement

Abstract

Voice endorsement is a pivotal means by which employees can influence leadership processes and the organization at large. Up till now, research on voice endorsement has lacked unified theoretical frameworks that can shed light on antecedents of voice endorsement in a more integrative way as well as help identify new and relevant antecedents in a systematic and theory-based manner. We propose that construal-level theory can serve as one such unifying framework and showcase this potential by applying it to voice endorsement. Drawing on construal-level theory we propose that when an employee frames his/her voice messages in a manner that is compatible with the psychological distance between the employee and the supervisor, the supervisor will find the employee’s voice messages easier to process and, consequently, will be more likely to endorse them. Three experiments using different manipulations of voice message frame and psychological distance, and a mini meta-analysis of the three experiments, provide support for our construal compatibility hypothesis and initial evidence for the experienced ease-of-processing logic. We discuss how our construal-level approach to voice endorsement can shed light on previous findings as well as open up new avenues for future research.

Countries
Belgium, Netherlands
Keywords

FLUENCY, SPEAKING, FEASIBILITY, PSYCHOLOGICAL DISTANCE, voice endorsement, RSM ORG, Employee voice, Construal-level theory, upward communication, DESIRABILITY, ANTECEDENTS, employee voice, EMPLOYEE VOICE, MESSAGE, LEADERSHIP, BEHAVIOR

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Average
Green
hybrid