In recent years, the integration of artificial intelligence (AI) into the contemporary workplace has transformed the landscape of numerous industries. Despite its benefits, AI usage has also brought about significant controversies, particularly concerns over job displacement and job insecurity. These changes may drive employees to consider alternative work arrangements, including moonlighting.
Objective
Drawing on Conservation of Resources Theory and Career Construction Theory, this study investigates the relationship between AI usage and employee moonlighting intention. Specifically, it explores the mediating role of job insecurity and the moderating effect of career adaptability.
Method
A two-wave questionnaire survey was conducted among 376 employees. Structural equation modeling and PROCESS macro in SPSS were used to test the hypothesized relationships, including mediation and moderation effects.
Results
The findings indicate that AI usage is positively associated with employee moonlighting intention. Job insecurity mediates this relationship, while career adaptability moderates the effect of AI usage on job insecurity. At high levels of career adaptability, the impact of AI usage on job insecurity is significantly reduced or even reversed.
Conclusion
This study bridges the topics of AI usage and employee moonlighting, unveiling the psychological mechanism linking technological change to career behavior. By identifying job insecurity and career adaptability as key factors, the study provides both theoretical insights and practical implications for organizations navigating workforce transformation in the era of AI.
BudhwarPChowdhurySWoodG, et al.Human resource management in the age of generative artificial intelligence: perspectives and research directions on ChatGPT. Hum Resour Manag J2023; 33: 606–659.
2.
HeCTengRSongJ. Linking employees’ challenge-hindrance appraisals toward AI to service performance: the influences of job crafting, job insecurity and AI knowledge. Int J Contemp Hosp Manag2024; 36: 975–994.
3.
SpreitzerGMCameronLGarrettL. Alternative work arrangements: two images of the new world of work. Annu Rev Organ Psychol Organ Behav2017; 4: 473–499.
4.
PresbiteroATeng-CallejaM. Job attitudes and career behaviors relating to employees' perceived incorporation of artificial intelligence in the workplace: a career self-management perspective. Pers Rev2023; 52: 1169–1187.
5.
ChangPCZhangWCaiQ,et al.Does AI-driven technostress promote or hinder employees' artificial intelligence adoption intention? A moderated mediation model of affective reactions and technical self-efficacy. Psychol Res Behav Manag2024; 17: 413–427.
6.
BankinsS. The ethical use of artificial intelligence in human resource management: a decision-making framework. Ethics Inf Technol2021; 23: 841–854.
7.
MalikNTripathiSNKarAK,et al.Impact of artificial intelligence on employees working in industry 4.0 led organizations. Int J Manpow2022; 43: 334–354.
8.
ZhangGTaoHRahmanMA, et al.Security and privacy issues related to the workplace-based security robot system. Work2021; 68: 871–879.
9.
ZhangWGuanXZhouX,et al.The effect of career adaptability on career planning in reaction to automation technology. Career Dev Int2019; 24: 545–559.
10.
PetriglieriGAshfordSJWrzesniewskiA. Agony and ecstasy in the gig economy: cultivating holding environments for precarious and personalized work identities. Adm Sci Q2019; 64: 124–170.
11.
CampionEDCazaBBMossSE. Multiple jobholding: an integrative systematic review and future research agenda. J Manag2020; 46: 165–191.
12.
Seema, ChoudharyVSainiG. Effect of job satisfaction on moonlighting intentions: mediating effect of organizational commitment. Eur Res Manag Bus Econ2021; 27: 100137.
13.
ClarkD. Even senior executives need a side hustle [Internet]. Harv Bus Rev 2017 Nov 29 [cited 2025 May 10]. Available from: https://hbr.org/2017/11/even-senior-executives-need-a-side-hustle
14.
XuSKeeKFLiW, et al.Examining the diffusion of innovations from a dynamic, differential-effects perspective: A longitudinal study on AI adoption among employees. Commun Res2023; 51: 843–866. doi:https://doi.org/10.1177/00936502231191832
15.
HuangYGursoyD. How does AI technology integration affect employees' proactive service behaviors? A transactional theory of stress perspective. J Retail Consum Serv2024; 77: 1–9. doi:https://doi.org/10.1016/j.jretconser.2023.103700
16.
ZhangXJinH. How does smart technology, artificial intelligence, automation, robotics, and algorithms (STAARA) awareness affect hotel employees' career perceptions? A disruptive innovation theory perspective. J Hosp Mark Manag2023; 32: 264–283.
17.
ZhangLXLiJMWangLL, et al.How does the usage of robots in hotels affect employees' turnover intention? A double-edged sword study. J Hosp Tour Manag2023; 57: 74–83.
18.
LinHTianJChengB. Facilitation or hindrance: The contingent effect of organizational artificial intelligence adoption on proactive career behavior. Comput Human Behav2024; 152: 1–10. doi:https://doi.org/10.1016/j.chb.2023.108092
19.
HobfollSE. Conservation of resources: a new attempt at conceptualizing stress. Am Psychol1989; 44: 513–524.
20.
BarthauerLKaucherPSpurkD,et al.Burnout and career (un)sustainability: looking into the blackbox of burnout-triggered career turnover intentions. J Vocat Behav2020; 117: 103334.
21.
LiuZBaoTYangZ, et al.Longitudinal relationship between psychological capital and anxiety in college students: the mediating effect of emotion reregulation strategy and moderating effect of parent-child relationship. Psychol Res Behav Manag2024; 17: 2641–2652.
22.
WangMWanbergCR. 100 Years of applied psychology research on individual careers: from career management to retirement. J Appl Psychol2017; 102: 546–563.
Ali KhanHGAhmedSKAnwar KhanM, et al.Career capital, career success, and perceived employability: evidence from medical billing companies in the post-COVID world. Work2023; 76: 907–919.
25.
SavickasML. Career adaptability: an integrative construct for life-span, life-space theory. Career Dev Q1997; 45: 247–259.
26.
HaenggliMHirschiA. Career adaptability and career success in the context of a broader career resources framework. J Vocat Behav2020; 119: 1–14. doi:https://doi.org/10.1016/j.jvb.2020.103414
27.
GeXGaoLYuH. A new construct in career research: Career crafting. Behav Sci (Basel)2023; 13: 1–13. doi:https://doi.org/10.3390/bs13010049
28.
LiJMZhangRXWuTJ,et al.How does work autonomy in human-robot collaboration affect hotel employees' work and health outcomes? Role of job insecurity and person-job fit. Int J Hosp Manag2024; 117: 1–11. doi:https://doi.org/10.1016/j.ijhm.2023.103654
29.
PrenticeCWongIALinZ. Artificial intelligence as a boundary-crossing object for employee engagement and performance. J Retail Consum Serv2023; 73: 1–8. doi:https://doi.org/10.1016/j.jretconser.2023.103376
30.
CaselliMFracassoAMarcolinA,et al.The reassuring effect of firms' technological innovations on workers' job insecurity. Int J Manpow2024; 45: 754–778.
31.
AlcoverCMGuglielmiDDepoloM,et al.“Aging-and-Tech Job Vulnerability”: a proposed framework on the dual impact of aging and AI, robotics, and automation among older workers. Organ Psychol Rev2021; 11: 175–201.
32.
FlathmannCSchelbleBGMcNeeseNJ, et al.The purposeful presentation of AI teammates: impacts on human acceptance and perception. Int J Hum Comput Interact2023; 40: 6510–6527. doi:https://doi.org/10.1080/10447318.2023.2254984
33.
SessionsHNahrgangJDVaulontMJ, et al.Do the hustle! Empowerment from side-hustles and its effects on full-time work performance. Acad Manag J2021; 64: 235–264.
34.
WebsterBDEdwardsBD. Does holding a second job viewed as a calling impact one's work at the primary job?J Vocat Behav2019; 114: 112–125.
35.
SessionsHNahrgangJDBaerMD,et al.From zero to hero and back to zero: the consequences of status inconsistency between the work roles of multiple jobholders. J Appl Psychol2022; 107: 1369–1384.
36.
Marucci-WellmanHRWillettsJLBrennanMJ,et al.Differences in time use and activity patterns when adding a second job: implications for health and safety in the United States. Am J Public Health2014; 104: 1488–1500.
37.
CazaBBMossSVoughH. From synchronizing to harmonizing: the process of authenticating multiple work identities. Adm Sci Q2018; 63: 703–745.
38.
SeemaSSachdevaG.Moonlighting intentions of I.T. professionals: Impact of organizational commitment and entrepreneurial motivation. J Crit Rev2020; 7: 214–220.
39.
JärvensivuA. Multiple jobholders and workplace learning: understanding strange attractor careers. J Work Learn2020; 32: 501–512.
40.
PanosGAPouliakasKZangelidisA. Multiple job holding, skill diversification, and mobility. Ind Relat2014; 53: 223–272.
41.
NiuLYangZ. Impact of performance climate on overtime behaviors of new generation employees: the moderating effect of perceived employability and mediating role of job insecurity. Psychol Res Behav Manag2022; 15: 3733–3749.
42.
KimBJKimMJLeeJ. The impact of an unstable job on mental health: the critical role of self-efficacy in artificial intelligence use. Curr Psychol2024; 43: 16445–16462.
43.
NunooJDarforKNKoomsonI,et al.Employment security and workers' moonlighting behavior in Ghana. J Econ Stud2018; 45: 144–155.
44.
ErgunGSBozkurtHOArslanE, et al.Psychological capital as a moderator in the relationship between job insecurity, job stress, and hotel employees' turnover intention during the Russia-Ukraine war. Int J Hosp Manag2023; 111: 103475.
45.
PrasadKDVKalavakolanuSDeT,et al.The effect of job satisfaction and moonlighting intentions with mediating and moderating effects of commitment and HR practices: an empirical study. Humanit Soc Sci Commun2024; 11: 83.
46.
SharmaSRautelaS. Employee moonlighting: a review and research agenda. J Manag Dev2024; 43: 491–513.
47.
DemetryD. Pop-up to professional: emerging entrepreneurial identity and evolving vocabularies of motive. Acad Manag Discov2017; 3: 187–207.
48.
KooBCurtisCRyanB. Examining the impact of artificial intelligence on hotel employees through job insecurity perspectives. Int J Hosp Manag2021; 95: 1–12. doi:https://doi.org/10.1016/j.ijhm.2020.102763
49.
WangYYWangYS. Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior. Interact Learn Environ2022; 30: 619–634.
50.
BrashersDE. Communication and uncertainty management. J Commun2001; 51: 477–497.
51.
KongHYuanYBaruchY, et al.Influences of artificial intelligence (AI) awareness on career competency and job burnout. Int J Contemp Hosp Manag2021; 33: 717–734.
52.
HirschiAHerrmannAKellerAC. Career adaptivity, adaptability, and adapting: a conceptual and empirical investigation. J Vocat Behav2015; 87: 1–10.
53.
NilforooshanP. From adaptivity to adaptation: examining the career construction model of adaptation. Career Dev Q2020; 68: 98–111.
54.
KundiYMHollet-HaudebertSPetersonJ. Career adaptability, job crafting and subjective career success: the moderating roles of lone wolf personality and positive perfectionism. Pers Rev2022; 51: 945–965.
55.
NakraNKashyapV. Linking career adaptability and psychological well-being: a test of moderated mediation model among Indian employees. J Career Dev2023; 50: 1139–1154.
56.
PengPSongYYuG. Cultivating proactive career behavior: the role of career adaptability and job embeddedness. Front Psychol2021; 12: 603890.
57.
ZhaoHWengQLiJ,et al.Linking career adaptability to entrepreneurial burnout: a moderated mediation model. J Career Dev2023; 50: 785–802.
58.
SavickasMLPorfeliEJ. Career Adapt-Abilities Scale: construction, reliability, and measurement equivalence across 13 countries. J Vocat Behav2012; 80: 661–673.
59.
SouEKLYuenMChenG. Development and validation of a Chinese five-factor short form of the career adapt-abilities scale. J Career Assess2021; 29: 129–147.
60.
RudolphCWLavigneKNKatzIM,et al.Linking dimensions of career adaptability to adaptation results: a meta-analysis. J Vocat Behav2017; 102: 151–173.
61.
JainMGoelASinhaS,et al.Employability implications of artificial intelligence in healthcare ecosystem: responding with readiness. Foresight2021; 23: 73–94.
62.
TengRZhouSZhengW,et al.Artificial intelligence (AI) awareness and work withdrawal: evaluating chained mediation through negative work-related rumination and emotional exhaustion. Int J Contemp Hosp Manag2023; 36: 2311–2326.
63.
DabbousAAoun BarakatKMerhej SayeghM. Enabling organizational use of artificial intelligence: an employee perspective. J Asia Bus Stud2021; 16: 245–266.
64.
SunCXingYWenY, et al.Association between career adaptability and turnover intention among nursing assistants: the mediating role of psychological capital. BMC Nurs2023; 22: 29.
65.
DelleESearleB. Career adaptability: the role of developmental leadership and career optimism. J Career Dev2022; 49: 269–281.
66.
ParolaAMarcionettiJ. Career decision-making difficulties and life satisfaction: the role of career-related parental behaviors and career adaptability. J Career Dev2022; 49: 831–845.
67.
RençberİPaşaoğlu BaşD. Linking perceived social support, career adaptability, and innovative behavior: a two-wave study. Career Dev Q2023; 71: 162–174.
68.
BrislinRWLonnerWJThorndikeRM. Cross-cultural research methods. New York: John Wiley and Sons, 1973.
69.
TangPMKoopmanJMcCleanST, et al.When conscientious employees meet intelligent machines: an integrative approach inspired by complementarity theory and role theory. Acad Manag J2022; 65: 1019–1054.
70.
YamKCTangPMJacksonJC, et al.The rise of robots increases job insecurity and maladaptive workplace behaviors: multimethod evidence. J Appl Psychol2023; 108: 850–870.
