Abstract
The rapid deployment of point-of-sale technologies (connected payment terminals, inventory management software, video surveillance devices, self-checkout systems and real-time reporting tools) is profoundly transforming the work of cashiers in the retail sector. Although these tools are intended to streamline commercial operations, they also expose cashiers to an increased cognitive and emotional burden, commonly referred to as technostress. At the same time, the phenomenon of quiet quitting, understood as a discreet withdrawal of engagement beyond the formal requirements of the job, has become a major concern for human resource management in customer-facing occupations. This article proposes an integrative theoretical framework, grounded in Hobfoll's conservation of resources theory and the job demands-resources model, to examine the relationship between perceived techno-stress and quiet quitting among cashiers, with particular attention to the mediating role of psychological resilience. We formulate a set of testable hypotheses and discuss their theoretical and managerial implications. Expected findings suggest that psychological resilience constitutes a personal resource capable of buffering the detrimental effect of techno-stress on behavioral disengagement, paving the way for organizational interventions focused on strengthening the adaptive capacities of frontline employees.
References
Anand, A., Doll, J., & Ray, P. (2023). Drowning in silence: A scale development and validation of quiet quitting and quiet firing. International Journal of Organizational Analysis, 32(4), 721-743.
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831-858.
Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328.
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
Barthélémy, J., & Cette, G. (2021). Travail et changements technologiques: De la grande rupture à la grande adaptation. Odile Jacob.
Benlian, A. (2020). A daily field investigation of technology-driven spillovers from work to home. MIS Quarterly, 44(3), 1259-1300.
Britt, T. W., Shen, W., Sinclair, R. R., Grossman, M. R., & Klieger, D. M. (2016). How much do we really know about employee resilience? Industrial and Organizational Psychology, 9(2), 378-404.
Brod, C. (1984). Technostress: The human cost of the computer revolution. Addison-Wesley.
Campbell-Sills, L., & Stein, M. B. (2007). Psychometric analysis and refinement of the Connor-Davidson Resilience Scale (CD-RISC): Validation of a 10-item measure of resilience. Journal of Traumatic Stress, 20(6), 1019-1028.
Cao, X., & Yu, L. (2019). Exploring the influence of excessive social media use at work: A three-dimension usage perspective. International Journal of Information Management, 46, 83-92.
Cartron, D., & Gollac, M. (2019). Le travail des caissières face aux transformations technologiques du commerce. Sociologie du travail, 61(2), 1-20.
Cavanaugh, M. A., Boswell, W. R., Roehling, M. V., & Boudreau, J. W. (2000). An empirical examination of self-reported work stress among U.S. managers. Journal of Applied Psychology, 85(1), 65-74.
Connor, K. M., & Davidson, J. R. T. (2003). Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depression and Anxiety, 18(2), 76-82.
Cucchi, A. (2020). Technostress appraisal: Proposition d'une échelle de mesure. Systèmes d'Information et Management, 25(1), 45-78.
Fletcher, D., & Sarkar, M. (2013). Psychological resilience: A review and critique of definitions, concepts, and theory. European Psychologist, 18(1), 12-23.
Formica, S., & Sfodera, F. (2022). The great resignation and quiet quitting paradigm shifts: An overview of current situation and future research directions. Journal of Hospitality Marketing & Management, 31(8), 899-907.
Fritz, M. S., & MacKinnon, D. P. (2007). Required sample size to detect the mediated effect. Psychological Science, 18(3), 233-239.
Gallup . (2022). State of the Global Workplace: 2022 report.
Gallup . (2024). State of the Global Workplace: 2024 report.
Gone, Y. S. P., et al. (2025). Sounding the silence: Examining the antecedents and outcomes of quiet quitting. International Journal of Organizational Analysis. Publication en ligne avant impression.
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513-524.
Hobfoll, S. E. (2001). The influence of culture, community, and the nested-self in the stress process: Advancing conservation of resources theory. Applied Psychology, 50(3), 337-421.
Hobfoll, S. E. (2002). Social and psychological resources and adaptation. Review of General Psychology, 6(4), 307-324.
Hobfoll, S. E. (2011). Conservation of resources theory: Its implication for stress, health, and resilience. In S. Folkman (Ed.), The Oxford handbook of stress, health, and coping. Oxford University Press.
Hobfoll, S. E., Halbesleben, J., Neveu, J.-P., & Westman, M. (2018). Conservation of resources in the organizational context: The reality of resources and their consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5, 103-128.
Karasek, R. A. (1979). Job demands, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly, 24(2), 285-308.
Magrizos, S. (2026). The disquiet of quiet quitting: Definitional clarity, theoretical pathways, and future research. Human Resource Management. Publication en ligne avant impression.
O'Sullivan, S. L. (2011). An exploratory investigation into eustress at work. HEC Montréal.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891.
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and validation. Information Systems Research, 19(4), 417-433.
Scheyett, A. (2023). Quiet quitting. Social Work, 68(1), 5-7.
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301-328.