Evidence map›Paper›PMID 40290547›Full record

ArticleFrontiers in psychology2025

The subtle balance of trust: how employees' expected and perceived trust influence impression management.

MinMin Zhang, Xiaodong Ma

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

MinMin ZhangThe Army Infantry College of PLA, Shijiazhuang, Hebei, China.
Xiaodong MaBusiness School, Central University of Finance and Economics, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study examines how employees expected and perceived trust influence impression management strategies, focusing on their interplay in shaping pro-social and self-oriented behaviors. Trust is pivotal in organizations, yet research has overlooked the impact of trust mismatches on impression management. Addressing this gap, we analyze the effects of trust congruence and explore behavioral variations under different trust combinations. Methods: Using a quantitative approach, we analyze survey data from employees across various enterprises. To test the hypotheses, we first conducted polynomial regression analysis, followed by response surface analysis. The primary polynomial regression aims to test the hypotheses of ascendant ridge, consistency, and asymmetry, further revealing the complex relationships between the variables. Results: Trust congruence fosters pro-social impression management and curtails self-oriented behaviors. Higher trust levels correlate positively with pro-social behaviors. Notably, trust incongruence has asymmetric effects: employees with high expected but low perceived trust resort to self-oriented strategies, while those with low expected but high perceived trust exhibit stronger pro-social tendencies. Discussion: These findings highlight the need to promote trust congruence in management. Addressing trust misalignment through tailored strategies, such as enhancing communication and support, can foster constructive behaviors. Future research should explore trust dynamics and moderating organizational factors like leadership and culture. This study advances understanding of workplace trust and offers practical insights for management.

Indexed as

cubic response surface analysisexpected trustperceived trustpro-self impression managementpro-social impression management

Identifiers

PMID40290547
PMCPMC12021864

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.