Evidence map›Paper›PMID 41852745›Full record

ArticleiScience2026

Ethics training competencies and leadership enable responsible AI in hospitality and tourism.

Muhammad Arif, Liyang Zhao, Xiaoyan Zou, Keshun Li, Zhangting Chen, Ye Ai, Mengyao Tian

Abstract read
In one paragraph

Article in iScience, 2026. 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

7 authors.

Muhammad ArifSchool of Tourism Ecology and Environment, Guilin Tourism University, Guilin 541006, China.
Liyang ZhaoSchool of Tourism Ecology and Environment, Guilin Tourism University, Guilin 541006, China.
Xiaoyan ZouSchool of Tourism Ecology and Environment, Guilin Tourism University, Guilin 541006, China.
Keshun LiSchool of Tourism Ecology and Environment, Guilin Tourism University, Guilin 541006, China.
Zhangting ChenSchool of Tourism Ecology and Environment, Guilin Tourism University, Guilin 541006, China.
Ye AiSchool of Tourism Ecology and Environment, Guilin Tourism University, Guilin 541006, China.
Mengyao TianSchool of Tourism Ecology and Environment, Guilin Tourism University, Guilin 541006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is reshaping the service industries, increasing demand for fair, transparent, and ethical systems. This study examined how AI ethics training, employee competencies, organizational governance maturity, and leadership commitment jointly supported responsible AI performance. Survey data from employees in hospitality and tourism organizations were analyzed using structural equation modeling. The findings indicated that ethics training was associated with stronger responsible AI performance through two complementary mechanisms: the development of employee competencies and the institutionalization of governance processes. Leadership commitment further strengthened the relationship between governance maturity and performance, highlighting the role of organizational values in ethical technology use. Together, these results indicated that responsible AI emerged from the alignment of learning practices, institutional structures, and leadership priorities. The study provides practical guidance for service organizations seeking to embed ethical principles into AI use. It contributes to broader discussions about responsible digital transformation and sustainable service innovation.

Indexed as

BusinessInformation science

Identifiers

PMID41852745
PMCPMC12993373

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.