Research on the Influencing Factors and Mechanism of Smartphone Use and Addiction on Employees: A Systematic Review
In recent decades, new technologies have reshaped people's working environment. Both organizations and individuals have benefited a lot from these new technologies. However, everything is two-sided, which means the development of various new technologies in the work scene, such as smartphones, has had a series of negative effects on employees' job performance and their physical and mental health. Researchers generally regard smartphone addiction in the work scene as a behavioral addiction in a specific environment. The formation of employees' smartphone addiction is affected by many factors, in which psychological factors belonging to endogenous factors and working environment factors belonging to exogenous factors are significant. Besides, in the past three years, the outbreak and popularity of COVID-19 accelerates formation of employees' smartphone addiction. The influence of smartphones addiction on employees had advantages and disadvantages while it is generally believed that the disadvantages, which have numerous negative effects on employees' physical and psychological health, personal life, family and job performance, outweigh the advantages. The mechanism of psychological smartphone addiction can be explained by job demand–resource theory and boundary theory. In the future, we still need to pay attention to the influencing mechanism of smartphone addiction and employees' job performance and figure out the key influencing factors, so as to amplify the advantages of using smartphones in the work scene and make smartphone serve to the target of improving job performance.
[1]Alan, H., Ozen Bekar, E., & Güngör, S. (2021). An investigation of the relationship between smartphone addiction and job performance of healthcare employees. Perspectives in Psychiatric Care, 1-7. https://doi.org/10.1111/ppc.13006.
[2]Ali, R. A., Alnuaimi, K. M., & Al-Jarrah, I. A. (2020). Examining the associations between smartphone use and mother–infant bonding and family functioning: A survey design. Nursing & Health Sciences, 22(2), 235–242. https://doi.org/10.1111/nhs.12684
[3]APA. (2013). Diagnostic and statistical manual of mental disorders (5th ed.) (DSM-V). Washington, DC: American Psychiatric Association.
[4]Arpaci, I., & Esgi, N. (2020). Psychometric properties of the Turkish version of the smartphone addiction inventory (SPAI). Current Psychology, 39(6), 2246–2251.
[5]Ashforth, B. E., Kreiner, G. E., & Fugate, M. (2000). All in a day's work: Boundaries and micro role transitions. Academy of Management Review, 25(3), 472–491.
[6]Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology.
[7]Barber, L. K., & Santuzzi, A. M. (2015). Please respond ASAP: workplace telepressure and employee recovery. Journal of Occupational Health Psychology, 20(2), 172.
[8]Barley, S. R., Meyerson, D. E., & Grodal, S. (2011). E-mail as a source and symbol of stress. Organization Science, 22(4), 887–906.
[9]Belkin, G., Appleton, S., & Langlois, K. (2021). Reimagining mental health systems post COVID-19. The Lancet Planetary Health, 5(4), e181–e182.
[10]Cañadas-De la Fuente, G. A., Ortega, E., Ramirez-Baena, L., De la Fuente-Solana, E. I., Vargas, C., & Gómez-Urquiza, J. L. (2018). Gender, Marital Status, and Children as Risk Factors for Burnout in Nurses: A Meta-Analytic Study. International Journal of Environmental Research and Public Health, 15(10). https://doi.org/10.3390/ijerph15102102
[11]Canale, N., Vieno, A., Doro, M., Rosa Mineo, E., Marino, C., & Billieux, J. (2019). Emotion-related impulsivity moderates the cognitive interference effect of smartphone availability on working memory. Scientific Reports, 9(1), 1–10.
[12]ÇetinEroğlu, A. (2020). Determination of the Relationship between Internet Addiction and Time Management in Nurses. Celal Bayar University Health Sciences Institute Journal, 7(2), 110–116.
[13]Cheung, Y. L. (Francis), Lun, M. C. (Vivian), & Wang, H.-J. (2022). Smartphone use after work mediates the link between organizational norm of connectivity and emotional exhaustion: Will workaholism make a difference? Stress and Health, 38(1), 130–139. https://doi.org/10.1002/smi.3083
[14]Dawson, K. M., O'Brien, K. E., & Beehr, T. A. (2016). The role of hindrance stressors in the job demand–control–support model of occupational stress: A proposed theory revision. Journal of Organizational Behavior, 37(3), 397–415.
[15]Day, A., Scott, N., & Kelloway, E. K. (2010). Information and communication technology: Implications for job stress and employee well-being. In New developments in theoretical and conceptual approaches to job stress. Emerald Group Publishing Limited.
[16]Demerouti, E., Mostert, K., & Bakker, A. B. (2010). Burnout and work engagement: A thorough investigation of the independency of both constructs. Journal of Occupational Health Psychology, 15(3), 209.
[17]Derks, D., & Bakker, A. B. (2014). Smartphone use, work–home interference, and burnout: A diary study on the role of recovery. Applied Psychology, 63(3), 411–440.
[18]Derks, D., van Duin, D., Tims, M., & Bakker, A. B. (2015). Smartphone use and work–home interference: The moderating role of social norms and employee work engagement. Journal of Occupational and Organizational Psychology, 88(1), 155–177. https://doi.org/10.1111/joop.12083
[19]Derks, D., Van Mierlo, H., & Schmitz, E. B. (2014). A diary study on work-related smartphone use, psychological detachment and exhaustion: Examining the role of the perceived segmentation norm. Journal of Occupational Health Psychology, 19(1), 74.
[20]Diaz, I., Chiaburu, D. S., Zimmerman, R. D., & Boswell, W. R. (2012). Communication technology: Pros and cons of constant connection to work. Journal of Vocational Behavior, 80(2), 500–508.
[21]Duxbury, L., & Smart, R. (2011). The "myth of separate worlds": An exploration of how mobile technology has redefined work-life balance. In Creating balance? (pp. 269–284). Springer.
[22]Etzion, D., Eden, D., & Lapidot, Y. (1998). Relief from job stressors and burnout: Reserve service as a respite. Journal of Applied Psychology, 83(4), 577.
[23]Ezoe, S., Toda, M., Yoshimura, K., Naritomi, A., Den, R., & Morimoto, K. (2009). Relationships of personality and lifestyle with mobile phone dependence among female nursing students. Social Behavior and Personality: An International Journal, 37(2), 231–238.
[24]Fujimoto, Y., Ferdous, A. S., Sekiguchi, T., & Sugianto, L.-F. (2016). The effect of mobile technology usage on work engagement and emotional exhaustion in Japan. Journal of Business Research, 69(9), 3315–3323.
[25]Gao, T., Li, J., Zhang, H., Gao, J., Kong, Y., Hu, Y., & Mei, S. (2018). The influence of alexithymia on mobile phone addiction: The role of depression, anxiety and stress. Journal of Affective Disorders, 225, 761–766. https://doi.org/10.1016/j.jad.2017.08.020
[26]Ghislieri, C., Emanuel, F., Molino, M., Cortese, C. G., & Colombo, L. (2017). New technologies smart, or harm work-family boundaries management? Gender differences in conflict and enrichment using the JD-R theory. Frontiers in Psychology, 8, 1070.
[27]Gnisci, A., Perugini, M., Pedone, R., & Di Conza, A. (2011). Construct validation of the use, abuse and dependence on the Internet inventory. Computers in Human Behavior, 27(1), 240–247.
[28]Halbesleben, J. R., Neveu, J.-P., Paustian-Underdahl, S. C., & Westman, M. (2014). Getting to the "COR" understanding the role of resources in conservation of resources theory. Journal of Management, 40(5), 1334–1364.
[29]Harter, J. K., Schmidt, F. L., & Keyes, C. L. (2003). Well-being in the workplace and its relationship to business outcomes: A review of the Gallup studies.
[30]Hau, H.-M., Weitz, J., & Bork, U. (2020). Impact of the COVID-19 pandemic on student and resident teaching and training in surgical oncology. Journal of Clinical Medicine, 9(11), 3431.
[31]Kim, H. (2013). Exercise rehabilitation for smartphone addiction. Journal of Exercise Rehabilitation, 9(6), 500.
[32]Kim, R., Lee, K.-J., & Choi, Y.-J. (2015). Mobile phone overuse among elementary school students in Korea: Factors associated with mobile phone use as a behavior addiction. Journal of Addictions Nursing, 26(2), 81–85.
[33]Kim, S.-H., Kim, K.-U., & Kim, J.-S. (2013). Changes in Cervical Angle Accoding to the Duration of Computer use. J Korean Soc Phys Med, 7(2), 179–187.
[34]Korpinen, L., & Pääkkönen, R. (2011). Physical symptoms in young adults and their use of different computers and mobile phones. International Journal of Occupational Safety and Ergonomics, 17(4), 361–371.
[35]Kossek, E. E., & Lautsch, B. A. (2012). Work–family boundary management styles in organizations: A cross-level model. Organizational Psychology Review, 2(2), 152–171.
[36]Kossek, E. E., Ruderman, M. N., Braddy, P. W., & Hannum, K. M. (2012). Work–nonwork boundary management profiles: A person-centered approach. Journal of Vocational Behavior, 81(1), 112–128.
[37]Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013). Development and validation of a smartphone addiction scale (SAS). PloS One, 8(2), e56936.
[38]Leung. (2008). The self-report Mobile Phone Addiction Index.
[39]Li, L., & Lin, T. T. (2019). Over-connected? A qualitative exploration of smartphone addiction among working adults in China. BMC Psychiatry, 19(1), 1–10.
[40]Li, X., Oviedo-Trespalacios, O., Rakotonirainy, A., & Yan, X. (2019). Collision risk management of cognitively distracted drivers in a car-following situation. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 288–298.
[41]Lin, T. T., Chiang, Y.-H., & Jiang, Q. (2015). Sociable people beware? Investigating smartphone versus nonsmartphone dependency symptoms among young Singaporeans. Social Behavior and Personality: An International Journal, 43(7), 1209–1216.
[42]Lin, Y.-H., Chang, L.-R., Lee, Y.-H., Tseng, H.-W., Kuo, T. B. J., & Chen, S.-H. (2014). Development and Validation of the Smartphone Addiction Inventory (SPAI). PLOS ONE, 9(6), e98312. https://doi.org/10.1371/journal.pone.0098312.
[43]Lin, Y.-H., Pan, Y.-C., Lin, S.-H., & Chen, S.-H. (2017). Development of short-form and screening cutoff point of the Smartphone Addiction Inventory (SPAI-SF). International Journal of Methods in Psychiatric Research, 26(2), e1525.
[44]Ma, H., He, J.-Q., Zou, J.-M., & Zhong, Y. (2021). Mobile phone addiction and its association with burnout in Chinese novice nurses: A cross-sectional survey. Nursing Open, 8(2), 688–694. https://doi.org/10.1002/nop2.673.
[45]Masaeli, N., & Farhadi, H. (2021). Prevalence of Internet-based addictive behaviors during COVID-19 pandemic: A systematic review. Journal of Addictive Diseases, 39(4), 468–488.
[46]Maslach, C., Jackson, S. E., & Leiter, M. P. (1997). Maslach burnout inventory. Scarecrow Education.
[47]Matusik, S. F., & Mickel, A. E. (2011). Embracing or embattled by converged mobile devices? Users' experiences with a contemporary connectivity technology. Human Relations, 64(8), 1001–1030.
[48]McBride, D. L., LeVasseur, S. A., & Li, D. (2015). Non-work-related use of personal mobile phones by hospital registered nurses. JMIR MHealth and UHealth, 3(1), e4001.
[49]Molino, M., Cortese, C. G., & Ghislieri, C. (2019). Unsustainable Working Conditions: The Association of Destructive Leadership, Use of Technology, and Workload with Workaholism and Exhaustion. Sustainability, 11(2). https://doi.org/10.3390/su11020446
[50]Mullan, K., & Wajcman, J. (2019). Have mobile devices changed working patterns in the 21st century? A time-diary analysis of work extension in the UK. Work, Employment and Society, 33(1), 3–20.
[51]Nippert-Eng, C. (1996). Calendars and keys: The classification of "home" and "work." Sociological Forum, 11(3), 563–582.
[52]Okuyan, C. B., Güner, P. D., & Güneş, S. U. (2020). Determination of nomophobia levels of nursing and medical students. Gümüşhane University Journal of Health Sciences, 8(4), 372–382.
[53]Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252–259.
[54]Park, J.-C., Kim, S., & Lee, H. (2020). Effect of work-related smartphone use after work on job burnout: Moderating effect of social support and organizational politics. Computers in Human Behavior, 105, 106194. https://doi.org/10.1016/j.chb.2019.106194
[55]Park, Y., Fritz, C., & Jex, S. M. (2011). Relationships between work-home segmentation and psychological detachment from work: The role of communication technology use at home. Journal of Occupational Health Psychology, 16(4), 457.
[56]Piszczek, M. M. (2017). Boundary control and controlled boundaries: Organizational expectations for technology use at the work–family interface. Journal of Organizational Behavior, 38(4), 592–611.
[57]Ragsdale, J. M., & Hoover, C. S. (2016). Cell phones during nonwork time: A source of job demands and resources. Computers in Human Behavior, 57, 54–60.
[58]Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 25(3), 293–315.
[59]Schlachter, S., McDowall, A., Cropley, M., & Inceoglu, I. (2018). Voluntary work-related technology use during non-work time: A narrative synthesis of empirical research and research agenda. International Journal of Management Reviews, 20(4), 825–846.
[60]Sonnentag, S., & Bayer, U.-V. (2005). Switching off mentally: Predictors and consequences of psychological detachment from work during off-job time. Journal of Occupational Health Psychology, 10(4), 393.
[61]Spagnoli, P., Balducci, C., Fabbri, M., Molinaro, D., & Barbato, G. (2019). Workaholism, Intensive Smartphone Use, and the Sleep-Wake Cycle: A Multiple Mediation Analysis. International Journal of Environmental Research and Public Health, 16(19). https://doi.org/10.3390/ijerph16193517
[62]Ter Hoeven, C. L., van Zoonen, W., & Fonner, K. L. (2016). The practical paradox of technology: The influence of communication technology use on employee burnout and engagement. Communication Monographs, 83(2), 239–263. https://doi.org/10.1080/03637751.2015.1133920
[63]Towers, I., Duxbury, L., Higgins, C., & Thomas, J. (2006). Time thieves and space invaders: Technology, work and the organization. Journal of Organizational Change Management.
[64]Uguz, G., & Bacaksiz, F. E. (2022). Relationships between personality traits and nomophobia: Research on nurses working in public hospitals. Perspectives in Psychiatric Care, 58(2), 673–681. https://doi.org/10.1111/ppc.12834
[65]Ustun, G. (2021). Determining depression and related factors in a society affected by COVID-19 pandemic. International Journal of Social Psychiatry, 67(1), 54–63.
[66]Van Laethem, M., van Vianen, A. E. M., & Derks, D. (2018). Daily Fluctuations in Smartphone Use, Psychological Detachment, and Work Engagement: The Role of Workplace Telepressure. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.01808.
[67]Van Woerkom, M., Bakker, A. B., & Nishii, L. H. (2016). Accumulative job demands and support for strength use: Fine-tuning the job demands-resources model using conservation of resources theory. Journal of Applied Psychology, 101(1), 141.
[68]Wilmer, H. H., Sherman, L. E., & Chein, J. M. (2017). Smartphones and cognition: A review of research exploring the links between mobile technology habits and cognitive functioning. Frontiers in Psychology, 8, 605.
[69Xie, X., Dong, Y., & Wang, J. (2018). Sleep quality as a mediator of problematic smartphone use and clinical health symptoms. Journal of Behavioral Addictions, 7(2), 466–472.
[70]Yang, J., Fu, X., Liao, X., & Li, Y. (2020). Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysis. Psychiatry Research, 284, 112686. https://doi.org/10.1016/j.psychres.2019.112686.
[71]Zhang, M. X., & Wu, A. M. S. (2020). Effects of smartphone addiction on sleep quality among Chinese university students: The mediating role of self-regulation and bedtime procrastination. Addictive Behaviors, 111, 106552. https://doi.org/10.1016/j.addbeh.2020.106552.