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Influences of artificial intelligence (AI) awareness on career competency and job burnout

Influences of artificial intelligence (AI) awareness on career competency and job burnout
Influences of artificial intelligence (AI) awareness on career competency and job burnout

Purpose: the prevalence of artificial intelligence (AI) has considerably affected management and society. This paper aims to explore its potential impact on hospitality industry employees, bringing enlightenment to both employees and managers. 

Design/methodology/approach: data were collected from a survey of 432 employees who worked in full-service hotels in China. Structural equation modeling (SEM) was used to analyze the data. 

Findings: results presented a positive relationship between AI awareness and job burnout. No significant direct relationship was found between AI awareness and career competencies. Organizational commitment mediated the relationship between AI awareness and career competencies, as well as the relationship between AI awareness and job burnout. 

Research limitations/implications: this study contributes to human resource management in the hospitality industry to theoretical and practical aspects. Theoretically, it enriched both career theory and fit theory. Practically, this study reminds managers to pay attention to the adverse effect of AI on human capital. It also enlightens the manager to think of the positive effects that AI may bring. Managers should provide proper support to overcome AI’s threat to human resources. 

Practical implications: practically, this study reminds managers to pay attention to the adverse effect of AI on human capital. It also enlightens the manager to think of the positive effects that AI may bring. Managers should provide proper support to overcome AI’s threat to human resources. 

Originality/value: the study aims to analyze the impact of AI from a career perspective. It provided theoretical support and evidence for hotel managers for the effects of AI awareness on hotel employees. The study conveys a potential topic of concern that the hospitality industry may face in the future.

AI awareness, Artificial intelligence, Career competency, Job burnout, Organizational commitment
0959-6119
717-734
Kong, Haiyan
b405596d-28ed-4364-aeb3-774086eda49f
Yuan, Yue
108d32e7-e897-405e-b993-5ea5e140bf6d
Baruch, Yehuda
25b89777-def4-4958-afdc-0ceab43efe8a
Bu, Naipeng
79150ab2-b136-42f4-af23-839fdb724613
Jiang, Xinyu
39c5cfe1-548a-4362-843e-183dd1d007bd
Wang, Kangping
361887a0-9a6b-4da5-b395-00713e5de8e6
Kong, Haiyan
b405596d-28ed-4364-aeb3-774086eda49f
Yuan, Yue
108d32e7-e897-405e-b993-5ea5e140bf6d
Baruch, Yehuda
25b89777-def4-4958-afdc-0ceab43efe8a
Bu, Naipeng
79150ab2-b136-42f4-af23-839fdb724613
Jiang, Xinyu
39c5cfe1-548a-4362-843e-183dd1d007bd
Wang, Kangping
361887a0-9a6b-4da5-b395-00713e5de8e6

Kong, Haiyan, Yuan, Yue, Baruch, Yehuda, Bu, Naipeng, Jiang, Xinyu and Wang, Kangping (2021) Influences of artificial intelligence (AI) awareness on career competency and job burnout. International Journal of Contemporary Hospitality Management, 33 (2), 717-734. (doi:10.1108/IJCHM-07-2020-0789).

Record type: Article

Abstract

Purpose: the prevalence of artificial intelligence (AI) has considerably affected management and society. This paper aims to explore its potential impact on hospitality industry employees, bringing enlightenment to both employees and managers. 

Design/methodology/approach: data were collected from a survey of 432 employees who worked in full-service hotels in China. Structural equation modeling (SEM) was used to analyze the data. 

Findings: results presented a positive relationship between AI awareness and job burnout. No significant direct relationship was found between AI awareness and career competencies. Organizational commitment mediated the relationship between AI awareness and career competencies, as well as the relationship between AI awareness and job burnout. 

Research limitations/implications: this study contributes to human resource management in the hospitality industry to theoretical and practical aspects. Theoretically, it enriched both career theory and fit theory. Practically, this study reminds managers to pay attention to the adverse effect of AI on human capital. It also enlightens the manager to think of the positive effects that AI may bring. Managers should provide proper support to overcome AI’s threat to human resources. 

Practical implications: practically, this study reminds managers to pay attention to the adverse effect of AI on human capital. It also enlightens the manager to think of the positive effects that AI may bring. Managers should provide proper support to overcome AI’s threat to human resources. 

Originality/value: the study aims to analyze the impact of AI from a career perspective. It provided theoretical support and evidence for hotel managers for the effects of AI awareness on hotel employees. The study conveys a potential topic of concern that the hospitality industry may face in the future.

Text
Kong et al. AI & careercompetencies job burnout as accepted - Accepted Manuscript
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More information

Accepted/In Press date: 6 December 2020
e-pub ahead of print date: 18 January 2021
Published date: 15 March 2021
Additional Information: Funding Information: The authors would like to thank the support of Shandong Social Science Grant (20CGLJ31), National Social Science Fund (20BGL159) and Youth Team Grant Fund of Shandong University (Weihai) and Business School. Publisher Copyright: © 2020, Emerald Publishing Limited.
Keywords: AI awareness, Artificial intelligence, Career competency, Job burnout, Organizational commitment

Identifiers

Local EPrints ID: 447435
URI: http://eprints.soton.ac.uk/id/eprint/447435
ISSN: 0959-6119
PURE UUID: 924416e6-3982-4fbc-8551-9b1ccaf31fc9
ORCID for Yehuda Baruch: ORCID iD orcid.org/0000-0002-0678-6273

Catalogue record

Date deposited: 11 Mar 2021 17:35
Last modified: 30 Oct 2023 03:01

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Contributors

Author: Haiyan Kong
Author: Yue Yuan
Author: Yehuda Baruch ORCID iD
Author: Naipeng Bu
Author: Xinyu Jiang
Author: Kangping Wang

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