Evidence map›Paper›PMID 37459307›Full record

ArticlePloS one2023

Who should be first? How and when AI-human order influences procedural justice in a multistage decision-making process.

Luyuan Jiang, Xin Qin, Kai Chi Yam, Xiaowei Dong, Wanqi Liao, Chen Chen

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Luyuan JiangSun Yat-sen Business School, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xin QinSun Yat-sen Business School, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0002-6823-188X
Kai Chi YamBusiness School, National University of Singapore, Singapore, Singapore.
Xiaowei DongSun Yat-sen Business School, Sun Yat-sen University, Guangzhou, Guangdong, China.
Wanqi LiaoSun Yat-sen Business School, Sun Yat-sen University, Guangzhou, Guangdong, China.
Chen ChenSun Yat-sen Business School, Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) has fundamentally changed the way people live and has largely reshaped organizational decision-making processes. Particularly, AI decision making has become involved in almost every aspect of human resource management, including recruiting, selecting, motivating, and retaining employees. However, existing research only considers single-stage decision-making processes and overlooks more common multistage decision-making processes. Drawing upon person-environment fit theory and the algorithm reductionism perceptive, we explore how and when the order of decision makers (i.e., AI-human order vs. human-AI order) affects procedural justice in a multistage decision-making process involving AI and humans. We propose and found that individuals perceived a decision-making process arranged in human-AI order as having less AI ability-power fit (i.e., the fit between the abilities of AI and the power it is granted) than when the process was arranged in AI-human order, which led to less procedural justice. Furthermore, perceived AI ability buffered the indirect effect of the order of decision makers (i.e., AI-human order vs. human-AI order) on procedural justice via AI ability-power fit. Together, our findings suggest that the position of AI in collaborations with humans has profound impacts on individuals' justice perceptions regarding their decision making.

Indexed as

Artificial IntelligenceSocial JusticeHumans

Identifiers

PMID37459307
PMCPMC10351705

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.