Previous research has demonstrated that the personal use of social media, i.e., social cyberloafing, is associated with employee mental health. However, the underlying mechanism through which social cyberloafing is related to mental health has received limited attention.
OBJECTIVE:
Drawing on conservation of resource theory and work/nonwork enhancement literatures, we developed and tested a model that examines health effect of social cyberloafing. As such, employees’ social cyberloafing is posited as positively related to psychological detachment and personal life enhancement of work, which in turn would act as mediators that explain why social cyberloafing improves mental health.
METHODS:
Data from 375 Chinese employees were analyzed to test research hypotheses using the structural equation modeling and bias-corrected bootstrap method with Mplus 7.4.
RESULTS:
The results found that social cyberloafing is positively related to psychological detachment, but not with personal life enhancement of work. Social cyberloafing was positively related to employees’ mental health through both psychological detachment and through psychological detachment and personal life enhancement of work serially.
CONCLUSION:
Psychological detachment alone and alongside personal life enhancement of work form part of the mechanisms explaining how and why engaging in social cyberloafing is positively associated with employees’ mental health. These mechanisms offer insights to organizations into how the mental health of employees can be improved in the digital workplace.
StephanU. Entrepreneurs’ mental health and well-being: A review and research agenda. Academy of Management Perspectives. 2018;32(3):290–322. https://doi.org/10.5465/am2017.0001.
2.
SarfrazM, HafeezH, AbdullahMI, IvascuL, OzturkI. The effects of the COVID-19 pandemic on healthcare workers’ psychological and mental health: The moderating role of felt obligation. Work. 2022;71(3):551–564. https://doi.org/10.3233/WOR-211073.
3.
BriefAP, NordWR. Work and non-work connections. In:
BriefAP,
NordWR, editors. Meanings of occupational work. Lexington, MA: Lexington Books; 1990, pp. 171–99.
4.
YangM, ChenH, LiS. The influence of working time characteristics on employee perceptions of physical and mental health: The moderating role of value orientations. Curr Psychol. 2019. Advance online publication. https://doi.org/10.1007/s12144-019-00483-8.
5.
EllisJ, BogerE, LatterS, KennedyA, JonesF, FosterC, et al. Conceptualisation of the ‘good’ self-manager: A qualitative investigation of stakeholder views on the self-management of long-term health conditions. Soc Sci Med. 2017;176:25–33. https://doi.org/10.1016/j.socscimed.2017.01.018.
6.
XieJ, ZhouD, TanY. Relationship between mindfulness and general health among couples in Mainland China: A crossover perspective. Soc Sci Med. 2021;281:114095. https://doi.org/10.1016/j.socscimed.2021.114095.
7.
LimVKG. The IT way of loafing on the job: Cyberloafing, neutralizing and organizational justice. J Organ Behav. 2002;23(5):675–94. PMID: 7190978. https://doi.org/10.1002/job.161.
8.
BlanchardAL, HenleCA. Correlates of different forms of cyberloafing: The role of norms and external locus of control. Comput Hum Behav. 2008;24(3):1067–84.
UgrinJC, PearsonJM. The effects of sanctions and stigmas on cyberloafing. Comput Hum Behav. 2013;29(3):812–202013. PMID: 85814688. https://doi.org/10.1016/j.chb.2012.11.005.
YuiTC, NgCTS, ChenHC, WuCY. Is cyberloafing a problematic behaviour in the organization? Academy of Management Proceedings; Briarcliff Manor, NY: Academy of Management; 2021.
13.
AnandarajanM, SimmersCA. Developing human capital through personal Web use in the workplace: Mapping employee perceptions. Commun Assoc Inf Syst. 2005;15:776–91. https://doi.org/10.17705/1CAIS.01541.
HuY, ChenY, YeM. Eager to belong: Social cyberloafing as a coping response to workplace ostracism. Curr Psychol. 2021. Advance online publication. https://doi.org/10.1007/s12144-021-01690-y.
16.
TrougakosJP, HidegI, ChengBH, BealDJ. Lunch breaks unpacked: The role of autonomy as a moderator of recovery during lunch. Acad Manage J. 2014;57(2):405–21. https://doi.org/10.5465/amj.2011.1072.
17.
HalbeslebenJRB, NeveuJP, PaustianunderdahlSC, WestmanM. Getting to the “COR”: Understanding the role of resources in conservation of resources theory. J Manage. 2014;40(5):1334–64. https://doi.org/10.1177/0149206314527130.
18.
ZhangC, MayerDM, HwangE. More is less: Learning but not relaxing buffers deviance under job stressors. J Appl Psychol. 2018;103(2):123–36. https://doi.org/10.1037/apl0000264.
19.
WuJ, MeiW, LiuL, UgrinJC. The bright and dark sides of social cyberloafing: Effects on employee mental health in China. J Bus Res. 2020;112:56–64. https://doi.org/10.1016/j.jbusres.2020.02.043.
20.
SonnentagS, FritzC. The Recovery experience questionnaire: Development and validation of a measure for assessing recuperation and unwinding from work. J Occup Health Psychol. 2007;12(3):204–21. PMID: 17638488. https://doi.org/10.1037/1076-8998.12.3.204.
21.
GreenhausJH, PowellGN. When work and family are allies: A theory of work-family enrichment. Acad Manage Rev. 2006;31(1):72–92. https://doi.org/10.2307/20159186.
22.
KirchmeyerC. Perceptions of nonwork-to-work spillover: Challenging the common view of conflict-ridden domain relationships. Basic Appl Soc Psych. 1992;13(2):231–49. https://doi.org/10.1207/s15324834basp1302_7.
23.
EricssonU, PetterssonP, RydstedtLW, EkelundE. Work, family life and recovery: An exploratory study of “the third shift”. Work. 2021;70(4):1131–40. https://doi.org/10.3233/WOR-213624.
24.
ShimazuA, MatsudairaK, JongeJD, TosakaN, WatanabeK, TakahashiM. Psychological detachment from work during non-work time: Linear or curvilinear relations with mental health and work engagement?Ind Health. 2016;54(3):282–92. https://doi.org/10.2486/indhealth.2015-0097.
25.
FritzC, YankelevichM, ZarubinA, BargerP. Happy, healthy, and productive: The role of detachment from work during nonwork time. J Appl Psychol. 2010;95(5):977–83. PMID: 20836591. https://doi.org/10.1037/a0019462.
26.
EjlertssonL, HeijbelB, BrorssonA, TroeinM, AnderssonI. Customized interventions improved employees’ experience of recovery during the workday. Work. 2021;70(2):509–19. https://doi.org/10.3233/WOR-213588.
27.
FisherGG, BulgerCA, SmithCS. Beyond work and family: A measure of work/nonwork interference and enhancement. J Occup Health Psychol. 2009;14(4):441–56. PMID: 19839663. https://doi.org/10.1037/a0016737.
28.
GrzywaczJG, MarksNF. Reconceptualizing the work-family interface: An ecological perspective on the correlates of positive and negative spillover between work and family. J Occup Health Psychol. 2000;5(1):111–26. https://doi.org/10.1037/1076-8998.5.1.111.
29.
GrzywaczJG. Work-family spillover and health during midlife: Is managing conflict everything?Am J Health Promot. 2000;14(4):236–43. https://doi.org/10.4278/0890-1171-14.4.236.
30.
van SteenbergenEF, EllemersN. Is managing the work-family interface worthwhile? Benefits for employee health and performance. J Organ Behav. 2009;30(5):617–42. https://doi.org/10.1002/job.569.
31.
GeurtsSAE, TarisTW, KompierMAJ, DikkersJSE, HooffMLMV, KinnunenUM. Work-home interaction from a work psychological perspective: Development and validation of a new questionnaire, the SWING. Work Stress. 2005;19(4):319–39. https://doi.org/10.1080/02678370500410208.
32.
EschlemanKJ, MadsenJ, AlarconG, BarelkaA. Benefiting from creative activity: The positive relationships between creative activity, recovery experiences, and performance-related outcomes. J Occup Organ Psych. 2014;87(3):579–98. https://doi.org/10.1111/joo12064.
33.
WuJ, MeiW, UgrinJC. Student cyberloafing in and out of the classroom in China and the relationship with student performance. Cyberpsychol Behav Soc Netw. 2018;21(3):199–204. https://doi.org/10.1089/cyber.2017.0397.
34.
DemeroutiE, BakkerAB, NachreinerF, SchaufeliWB. The job demands-resources model of burnout. J Appl Psychol. 2001;86(3):499–512. https://doi.org/10.1037/0021-9010.86.3.499.
35.
StewartSM, BingMN. In the eyes of the beholder: A non-self-report measure of workplace deviance. J Appl Psychol. 2009;94(1):207–15. https://doi.org/10.1037/a0012605.
36.
YeX, RenS, ChadeeD, WangZ. ‘The canary in the coal mine’: A multi-level analysis of the role of hope in managing safety performance of underground miners. J Vocat Behav. 2020;121:103461. https://doi.org/10.1016/j.jvb.2020.103461.
37.
AndreassenCS, TorsheimT, PallesenS. Use of online social network sites for personal purposes at work: Does it impair self-reported performance?Compr Psych. 2014;3:Article 18. https://doi.org/10.2466/01.21.CP.3.18.
38.
McDonald-MiszczakL, WisterAV. Predicting self-care behaviors among older adults coping with arthritis: A cross-sectional and 1-year longitudinal comparative analysis. J Aging Health. 2005;17(6):836–57.PMID: 16377774. https://doi.org/10.1177/0898264305280984.
39.
Kardefelt-WintherD, ReesG, LivingstoneS. Contextualising the link between adolescents’ use of digital technology and their mental health: A multi-country study of time spent online and life satisfaction. J Child Psychol Psychiatry. 2020;61(8):875–89. https://doi.org/10.1111/jc13280.
40.
UmanT, BrobergP, TagessonT. Exploring the antecedents of the mental health of business professionals in Sweden. Work. 2020;67(3):665–9. https://doi.org/10.3233/WOR-203316.
41.
AlfawazH, YakoutSM, WaniK, AljumahGA, AnsariMG, KhattakMN, et al. Dietary intake and mental health among Saudi adults during COVID-19 lockdown. Int J Environ Res Public Health. 2021;18(4):1653. https://doi.org/10.3390/ijerph18041653.
SlaterSF, OlsonEM, HultGTM. The moderating influence of strategic orientation on the strategy formation capability– performance relationship. Strategic Manage J. 2006;27(12):1221–31. https://doi.org/10.1002/smj.569.
44.
PodsakoffPM, MackenzieSB, PodsakoffN. Sources of method bias in social science research and recommendations on how to control it. Social Science Electronic Publishing. 2012;63(1):539–69. https://doi.org/10.1146/annurev-psych-120710-100452.
45.
PreacherKJ, HayesAF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40(3):879–91. https://doi.org/10.3758/BRM.40.3.879.
46.
BaumeisterRF, BratslavskyE, MuravenM, TiceDM. Ego depletion: Is the active self a limited resource?J Pers Soc Psychol. 1998;74(5):1252–65. https://doi.org/10.1037/0022-3514.74.5.1252.
47.
SonnentagS, BayerUV. Switching off mentally: Predictors and consequences of psychological detachment from work during off-job time. J Occup Health Psychol. 2005;10(4):393–414. https://doi.org/10.1037/1076-8998.10.4.393.
48.
RichardsonKM. Managing employee stress and wellness in the new millennium. J Occup Health Psychol. 2017;22(3):423–8. https://doi.org/10.1037/ocp0000066.
BoschC, SonnentagS, PinckAS. What makes for a good break? A diary study on recovery experiences during lunch break. J Occup Organ Psych. 2018;91(1):1–24. https://doi.org/10.1111/joo12195.
51.
SonnentagS, FritzC. Recovery from job stress: The stressor-detachment model as an integrative framework. J Organ Behav. 2015;36(S1):S72–103. https://doi.org/10.1002/job.1924.
52.
TheisKA, RoblinDW, HelmickCG, LuoR. Prevalence and causes of work disability among working-age U.S. adults, 2011–2013, NHIS. Disability and Health Journal. 2018;11(1):108–15. https://doi.org/10.1016/j.dhjo.2017.04.010.
53.
PlaisierI, GraafRD, BruijnJD, SmitJ, DyckRV, BeekmanA, et al. Depressive and anxiety disorders on-the-job: The importance of job characteristics for good work functioning in persons with depressive and anxiety disorders. Psychiatry Res. 2012;200:382–8. https://doi.org/10.1016/j.psychres.2012.07.016.
LernerD, HenkeRM. What does research tell us about depression, job performance, and work productivity?J Occup Environ Med. 2008;50(4):401–10. https://doi.org/10.1097/JOM.0b013e31816bae50.
56.
SheZ, LiQ. When too little or too much hurts: Evidence for a curvilinear relationship between cyberloafing and task performance in public organizations. J Bus Ethics. 2022:1-18. https://doi.org/10.1007/s10551-022-05038-9.
57.
TandonA, KaurP, RuparelN, IslamJU, DhirA. Cyberloafing and cyberslacking in the workplace: Systematic literature review of past achievements and future promises. Internet Res. 2022;32(1):55–89. https://doi.org/10.1108/INTR-06-2020-0332.
