Evidence map›Paper›PMID 40594172›Full record

ArticleScientific reports2025

The effects of robot anthropomorphic characteristics on employees' anti-robot sabotage.

Yamei Liu, Dongqian Yang, Danting Chang, Peng Jiang, Yu Pan, Zhaopeng Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

6 authors.

Yamei Liu *College of Economics and Management, Shanghai Open University, Shanghai, China.
Dongqian Yang *School of Management, Shandong University, Jinan, Shandong, China.
Danting Chang *School of Management, Shandong University, Jinan, Shandong, China.
Peng JiangSchool of Management, Shandong University, Jinan, Shandong, China.
Yu PanCulture and Tourism College, University of Jinan, Jinan, Shandong, China.
Zhaopeng LiuSchool of Management, Shandong University, Jinan, Shandong, China. liuzhaopeng@sdu.edu.cn.

Funding

National Natural Science Foundation of China 72102122National Natural Science Foundation of China 72202123
6 · The paper itself

Abstract

Robot anthropomorphic characteristics have not only been widely manifested in production practices, but their positive effects on human-robot interaction have also been investigated and validated in academic research. Nonetheless, existing research has not adequately addressed the potential adverse effects of robot anthropomorphic characteristics. To gain a more comprehensive understanding of their influence, this study introduces a dual-edged sword effect model based on cognitive-experiential self-theory. Specifically, we posit that robot anthropomorphic characteristics can empower employees with perceived relational energy, thereby reducing anti-robot sabotage. However, they may also heighten employees' perceived job threat, potentially resulting in more anti-robot sabotage. Furthermore, we argue that employee openness to experience amplifies the indirect effects of these characteristics on employees' anti-robot sabotage through perceived relational energy, while mitigating those mediated by perceived job threat. Empirical evidence supporting our hypotheses was gathered through a paired field study involving 622 employees and their store managers, illustrating how robot anthropomorphic characteristics shape employee perceptions and subsequent actions. This research contributes to a deeper understanding of robot anthropomorphic characteristics and holds significant practical implications for anthropomorphic robot implementation.

Indexed as

Attitude to ComputersRoboticsHumansAnti-robot sabotageOpenness to experiencePerceived job threatPerceived relational energyRobot anthropomorphic characteristics

Identifiers

PMID40594172
PMCPMC12219202

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.