Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Proceedings on 28th European Conference on Artificial Intelligence ECAI 2025 – InMan Workshop

ISBN (online): 978-83-8419-053-1    OAI    DOI: 10.18276/978-83-8419-053-1-15
CC BY-SA   Open Access 

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EMPLOYEE SILENCE AND ORGANIZATIONAL TRUST – THE CONTEXT OF ARTIFICIAL INTELLIGENCE

Authors: Marek Kunasz
University of Szczecin
Keywords: employee silence organizational trust trust in the leader artificial intelligence AI econometric models.
Whole issue publication date:2025-10-02
Page range:13 (210-222)
Cited-by (Crossref) ?:

Abstract

Purpose: The aim of the work is to analyze the relationship between employee silence and organizational trust, taking into account the differentiation of motives for silence in the organization in the context of the development of artificial intelligence. Need for the study: Previous studies focus on the analyzed relationship between general constructs, and studies consider internal divisions of employee silence from selected motives. The authors focus on the classic triad van Dyne, Ang & Botero (2003) proposed. However, the category of opportunistic silence is not taken into account. The literature also lacks works combining the conducted considerations with the problems of artificial intelligence applications (in the context of employee silence and trust in the organization). This work can, therefore, be considered pioneering in both areas. Methodology: The analyzed empirical material comes from research on the issue of employee silence conducted on a sample of 426 respondents from the West Pomeranian Voivodeship. Single-variable regression instruments were used to analyze the studied relationships. A total of 5 econometric models were estimated. Individual constructs were synthesized by averaging partial indications of respondents in response to questions formulated in the survey copy relating to the considered constructs. Findings: Other studies’ findings on the relationship’s negative nature were confirmed. The presented studies also deepened the ambiguity of the conclusions regarding the studied relationship at the level of constructs reflecting silence from selected motives. A negative, statistically significant relationship was identified between prosocial and opportunistic silence (categories practically absent in the literature in the aforementioned context). These categories should focus on building trust in the organization and implementing artificial intelligence solutions. The paper indicates practical implications in this area. This issue has not been exposed in the literature so far. Practical Implications: The work identifies areas for possible action in building trust in the organization and reducing organizational silence. In this context, the challenges and prospects of artificial intelligence development are discussed.
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