Corrigendum: From automation to employee loyalty: understanding the balance between robots and workforce stability

It has come to the attention of the publisher that the article Xiaoxin L., Konar R. and Ali F. (2025), “From automation to employee loyalty: understanding the balance between robots and workforce stability”, Journal of Hospitality and Tourism Technology, Vol. ahead-of-printNo. ahead-of-print. Link to the cited article. mistakenly reported a composite reliability value of 1.054 in Table 2; this value was generated by the statistical software output. The correct value should be 0.957, which is fully consistent with the already-reported Cronbach’s alpha (0.953), AVE (0.762) and factor loadings. All factor loadings, AVE, alpha, HTMT, VIF and structural path estimates remain valid, and this error does not affect the article’s overall findings, theoretical contributions or conclusions. Furthermore, the authors wish to document the details of the ethics approval and informed consent process used for this research, which do not feature in the body of the manuscript. This research was approved by the Human Ethics Committee at Taylor’s University (HEC 2024/119) on May 26, 2024, and it was conducted in accordance with recognized institutional and international ethical guidelines. Before commencing data collection, informed consent was obtained from all participants. Participants were informed of the study’s aims, risks and benefits and the right to refuse participation or withdraw from the study at any time; the authors confirm that the autonomy and confidentiality of the participants were maintained and respected throughout, and no personal or identifying data were collected. This corrigendum is issued to ensure clarity and transparency for readers. The authors sincerely apologize for any inconvenience caused.

Publication Details

Journal
Journal of Hospitality and Tourism Technology
Published
2026-02-04
DOI
https://doi.org/10.1108/jhtt-01-2026-0144
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Corrigendum: From automation to employee loyalty: understanding the balance between robots and workforce stability

Journal of Hospitality and Tourism Technology
AI in Service Interactions
article

Corrigendum: From automation to employee loyalty: understanding the balance between robots and workforce stability

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Abstract

It has come to the attention of the publisher that the article Xiaoxin L., Konar R. and Ali F. (2025), “From automation to employee loyalty: understanding the balance between robots and workforce stability”, Journal of Hospitality and Tourism Technology, Vol. ahead-of-printNo. ahead-of-print. Link to the cited article. mistakenly reported a composite reliability value of 1.054 in Table 2; this value was generated by the statistical software output. The correct value should be 0.957, which is fully consistent with the already-reported Cronbach’s alpha (0.953), AVE (0.762) and factor loadings. All factor loadings, AVE, alpha, HTMT, VIF and structural path estimates remain valid, and this error does not affect the article’s overall findings, theoretical contributions or conclusions. Furthermore, the authors wish to document the details of the ethics approval and informed consent process used for this research, which do not feature in the body of the manuscript. This research was approved by the Human Ethics Committee at Taylor’s University (HEC 2024/119) on May 26, 2024, and it was conducted in accordance with recognized institutional and international ethical guidelines. Before commencing data collection, informed consent was obtained from all participants. Participants were informed of the study’s aims, risks and benefits and the right to refuse participation or withdraw from the study at any time; the authors confirm that the autonomy and confidentiality of the participants were maintained and respected throughout, and no personal or identifying data were collected. This corrigendum is issued to ensure clarity and transparency for readers. The authors sincerely apologize for any inconvenience caused.

Journal of Hospitality and Tourism Technology
Decent work and economic growth
Openalex Percentile: Top 68%
AI in Service Interactions
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