Evidence map›Paper›PMID 42792266›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Employee Voice in Digital Service Platform Environments: The Roles of Perceived Digital System Support and Psychological Empowerment.

YoonSeo Kim, HyoungChul Shin

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

YoonSeo KimDepartment of Hotel Culinary, Gangneung Yeongdong University, Gangneung 25521, Republic of Korea.
HyoungChul ShinDepartment of Foodservice and Culinary Management, Kyonggi University, Seoul 03746, Republic of Korea.ORCID 0000-0001-9365-9557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital transformation has reshaped work processes across the tourism industry, increasing the need to understand how employees perceive organizational digital systems and how these perceptions are associated with workplace behaviors. This study examined the relationships among perceived digital system support (PDSS), psychological empowerment, and voice behavior among tourism employees from an organizational behavior perspective grounded in the Technology Acceptance Model. Data were collected through an online survey of employees working in travel agencies, airlines, hotels, and foodservice organizations in South Korea, and 314 valid responses were analyzed using structural equation modeling. The results indicated that PDSS was positively associated with psychological empowerment, and psychological empowerment was positively associated with voice behavior. By contrast, the direct relationship between PDSS and voice behavior was not statistically significant, whereas the indirect association via psychological empowerment was significant, indicating a pattern consistent with full mediation. These findings suggest that employees' positive perceptions of organizational digital systems show an indirect association with constructive voice behavior via psychological empowerment, particularly competence, self-determination, and impact. The study extends the application of the Technology Acceptance Model from technology acceptance to employee organizational behavior in digital work environments and highlights the importance of fostering psychologically empowering workplaces during digital transformation.

Indexed as

digital transformationemployee voiceorganizational digital systemsperceived digital system supportpsychological empowermenttechnology acceptance model

Identifiers

PMID42792266
PMCPMC13603784

What OpenQuestion holds

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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.