Social Cyberloafing as a New Antecedent of Nurse Work Performance

Öztürk Yıldırım T, Kuşcu Karatepe H

Abstract


Background: Because the use of social media and social networking sites during work hours is increasing, the effect of such behaviors (defined as social cyberloafing) on nurse performance must be investigated. This study was conducted to determine the effect of nurses’ social cyberloafing on their individual work performance. Materials and Methods: This cross‑sectional and descriptive study was conducted with 213 nurses working in private hospitals between April and May of 2022 in Turkey. Data were collected using the Social Cyberloafing Scale (SCS) and the Individual Work Performance Questionnaire (IWPQ). Results: The mean social cyberloafing score of the nurses was 3.20, and the mean individual work performance score was 3.66. A significant and positive correlation was found between the mean scores of the SCS and the IWPQ (r: 0.41; p < 0.01). SC had a significant and positive effect on IWP (t: 5.37; β =0.68; R2 = 0.16), SC had a significant and positive effect on Task Performance (t: 5.97; β =0.38; R2 = 0.15), SC had a significant and positive effect on Contextual Performance (t: 4.13; β =0.31; R2 = 0.10), and SC had a significant and negative effect on Counterproductive Work Behavior (t: −3.27; β = −0.26; R2 = 0.06). Conclusions: In this study, nurses’ social cyberloafing was found to be moderate, and their individual work performance was found to be high. It was found that as nurses’ social cyberloafing increased, their individual work performance also increased.

 


Keywords


Nurse performance, nurses, social cyberloafing

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References

Diana, Eliyana A, Mukhtadi, Anwar A. Creating the path forquality of work life: A study on nurse performance. Heliyon2022;8:e08685.

Koopmans L, Bernaards CM, Hildebrandt VH, Lerner D,De Vet HCW, Van Der Beek AJ. Cross‑cultural adaptationof the individual work performance questionnaire. Work2016;53:609‑19.

Köroğlu N, Öztürk H. Validity and reliability of turkish versionof the individual work performance questionnaire. J Health NursManag 2021;8:293‑302.

Rahmah I, Zoelkarnain I, RofiI A, Arifin S, Ilmi B. Meta analysis:Relationship of work discipline and work motivation withnurse performance. Int J Sci Res Publ 2021;11:234‑45. [DOI:10.29322/ijsrp. 11.06.2021.p11433].

Seren AK, Tuna R, Bacaksiz F. Reliability and validity of theturkish version of the job performance scale instrument. J NursRes 2018;26. [DOI: 10.1097/JNR.0000000000000213].

Ahmead M, Hamamadeh N, Iram IA. The effects of internetand social media use on the work performance of physiciansand nurses at workplaces in Palestine. BMC Health Serv Res2022;22:1‑12. [DOI: 10.1186/s12913‑022‑07934‑2].

Hoşgör H, Yaman M. Investigation of the relationship betweenpsychological resilience and job performance in Turkishnurses during the Covid‑19 pandemic in terms of descriptivecharacteristics. J Nurs Manag 2022;30:44‑52. [DOI: 10.1111/jonm. 13477].

Hwang WJ, Park EH. Developing a structural equation modelfrom Grandey’s emotional regulation model to measure nurses’emotional labor, job satisfaction, and job performance. ApplNurs Res 2022;64. [DOI: 10.1016/j.apnr. 2021.151557].

Karatepe HK, Türkmen E. Nurse performance: A path modelof clinical leadership, creative team climate and structuralempowerment. J Clin Nurs 2023;32:3‑4. [DOI: 10.1111/jocn.16419].

Moradi T, Mehraban MA, Moeini M. Comparison of theperceptions of managers and nursing staff toward performanceappraisal. Iran J Nurs Midwifery Res 2017;22:128‑34.

Aroon AD. Factors affecting nurses’ performance towardshealthcare improvement: A critical review. Int J HealthSci (Qassim) 2021;3:24‑36. [DOI: 10.47941/ijhs. 523].

Rakhim AA, Arifin S, Rofi’i A. Relationship between leadershipstyle and motivation with nurse performance in hospitals. InteresJ Ilmu Kesehat 2021;93‑108. [DOI: 10.37341/interest.v0i0.330].

Özüdoğru M, Yıldırım YT. Investigation of the moderatoreffectof job stress on the relationship between cyberloafingand employee performance: A research on health sector. AfyonKocatepe Univ J Soc Sci 2020;22:467‑90. [DOI: 10.32709/akusosbil. 472857] (In Turkish).

Rusdi AR, Russeng SS, Salmah AU, Wahyu A, Mallongi A,Yanti IH. The influence of workload on the nurses performanceat Ambon general hospital. Enferm Clin 2020;30. [DOI:10.1016/j.enfcli. 2019.10.114].

Ekasari PA, Noermijati N, Dewanto A. Organizational culture:A key factor to improve nurse performance. Enfermería Clínica2020;30:118‑22. [DOI: 10.1016/J.ENFCLI.2020.06.027].

Hadi‑Moghaddam M, Karimollahi M, Aghamohammadi M.Nurses’ trust in managers and its relationship with nurses’performance behaviors: A descriptive‑correlational study. BMCNurs 2021;20:132. [DOI: 10.1186/s12912‑021‑00653‑9].

Şimşek A, Şimşek E. Beneficial and detrimental effectsof cyberloafing in the workplace. J Organ Behav Rev2019;1:97‑114.

Cheng B, Zhou X, Guo G, Yang K. Perceived overqualificationand cyberloafing: A moderated‑mediation model based onEquity Theory. J Bus Ethics 2020;164:565‑77. [DOI: 10.1007/s10551‑018‑4026‑8].

Mercado BK, Giordano C, Dilchert S. A meta‑analyticinvestigation of cyberloafing. Career Dev Int2017;22:546‑64. [DOI: 10.1108/CDI‑08‑2017‑0142].

Wu JN, Song M, Ugrin JC, Liu L, Zhu T. Cyberloafing research1997‑2019: A citation‑based literature review. Organizacija2021;54. [DOI: 10.2478/orga‑2021‑0007].

Hu Y, Chen Y, Ye M. Eager to belong: Social cyberloafing asa coping response to workplace ostracism. Curr Psychol (e‑pubahead of print 2021). [DOI: 10.1007/s12144‑021‑01690‑y].

Yildiz H, Yildiz B. Testing the validity and reliability of aTurkish version of the social cyberloafing scale. PerspectPsychiatr Care 2021;1‑12. [DOI: 10.1111/ppc. 12930].

Wu J, Mei W, Liu L, Ugrin JC. The bright and dark sides ofsocial cyberloafing: Effects on employee mental health inChina. J Bus Res 2020;112:56‑64. [DOI: 10.1016/j.jbusres.2020.02.043].

Koç K, Altuntaş S. Cyberslacking behaviors in healthcareprofessionals. J Health Nurs Manag 2021;8:284‑92. [DOI:10.5222/shyd. 2021.37167].

Wu J, Mei W, Ugrin J, Liu L, Wang F. Curvilinear performanceeffects of social cyberloafing out of class: The mediating role as arecovery experience. Inf Technol People 2021;34:581‑98. [DOI:10.1108/ITP‑03‑2019‑0105].

Mei W, Wu J, Zoghbi‑Manrique‑de‑Lara P, Liu L, He Y, Song M.Lose at sunrise, but gain at sunset: Linking social cyberloafing topsychological detachment, personal life enhancement of work,and mental health. Work 2023;75. [DOI: 10.3233/WOR‑220126].

Maslow AH. Motivation and personality. Psychol Sch1970;7. [DOI: 10.1002/1520‑6807 (197010) 7:4<410:aid‑pits2310070426>3.0.co; 2‑3].

Yazicioglu Y, Erdogan S. SPSS applied scientific researchmethods. In: Ankara: Detay Publishing; 2014. (In Turkish).

Watkins MW. Exploratory factor analysis: A guide to best practice.J Black Psychol 2018;44. [DOI: 10.1177/0095798418771807].

Cohen J. Quantitative methods in psychology: A Power Primer.Psychol Bull 1992;112:155‑9.

Arslan R, Demir G. G‑POWER and MINITAB Applied SamplingMethods. 1st ed. In: Ankara: Nobel Academic Publishing;2022. (In Turkish).

Østergaard B, Clausen AM, Agerskov H, Brødsgaard A,Dieperink KB, Funderskov KF, et al. Nurses’ attitudes regardingthe importance of families in nursing care: A cross‑sectionalstudy. J Clin Nurs 2020;29:7‑8. [DOI: 10.1111/jocn. 15196].

Andreassen CS, Torsheim T, Pallesen S. Predictors of use ofsocial network sites at work – A specific type of cyberloafing.J Comput Commun 2014;19:906‑21. [DOI: 10.1111/jcc4.12085].

George D, Mallery P. SPSS for Windows step by step: A simpleguide and reference, 17.0 update. 10th ed. Boston: Pearson; 2010.

Hu L‑T, Bentler PM. Cutoff criteria for fit indexes in covariancestructure analysis: Conventional criteria versus new alternatives.Struct Equ Model A Multidiscip J 1999;6:1‑55. [DOI:10.1080/10705519909540118].

Kanık Ö. The effect of job characteristics on virtual shirking:A research in public hospitals. 2019. Available from: https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp. [Lastaccessed on 2023 Nov 12]. (In Turkish).

Lim VK. The IT way of loafing on the job: Cyberloafing,neutralizing and organizational justice. J Organ Behav2002;23:675‑94. [DOI: 10.1002/job. 161].

Metin UB, Taris TW, Peeters MC. Measuringprocrastination at work and its associatedworkplace aspects. Pers Individ Dif 2016;101:254‑63. [DOI: 10.1016/j.paid. 2016.06.006].

Elrehail H, Rehman SU, Chaudhry NI, Alzghoul A. Nexusamong cyberloafing behavior, job demands and job resources:A mediated‑moderated model. Educ Inf Technol 2021;26. [DOI:10.1007/s10639‑021‑10496‑1].

Khansa L, Kuem J, Siponen M, Kim SS. Tocyberloaf or not to cyberloaf: The impact of theannouncement of formal organizational controls.J Manag Inf Syst 2017;34:141‑76. [DOI: 10.1080/07421222.2017.1297173].

Ventola CL. Social media and health care professionals: Benefits,risks, and best practices. P T 2014;39:7.

Long X, Qi L, Ou Z, Zu X, Cao Z, Zeng X, et al. Evolvinguse of social media among Chinese urologists: Opportunity orchallenge? PLoS One 2017;12. [DOI: 10.1371/journal.pone.0181895].

Bernhardt JM, Alber J, Gold RS. A social media primer forprofessionals: Digital dos and don’ts. Health Promot Pract2014;15. [DOI: 10.1177/1524839913517235].

Wang Z, Wang S, Zhang Y, Jiang X. Social media usage andonline professionalism among registered nurses: A cross‑sectionalsurvey. Int J Nurs Stud 2019;98. [DOI: 10.1016/j.ijnurstu.2019.06.001].

Abubakar AM, Al‑zyoud MF. Problematic internet usageand safety behavior: Does time autonomy matter? TelematInformatics 2021;56. [DOI: 10.1016/j.tele. 2020.101501].


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