SMARTPHONE ADDICTION AND WORK PRODUCTIVITY: THE MEDIATING ROLE OF ATTENTION CONTROL AMONG WORKING ADULTS

Abstract

The rapid evolution of the contemporary professional landscape, driven by the pervasive integration of mobile digital technology, has fundamentally altered the nature of work. Smartphones have transitioned from auxiliary communication tools to indispensable hubs for professional operation, task management, and information retrieval. However, this unprecedented digital connectivity has concurrently ushered in a significant organizational challenge: the rise of smartphone addiction—a complex behavioral pattern defined by compulsive interaction, significant time-consuming usage, and an inability to regulate mobile device engagement. This study investigates the psychological and professional ramifications of this phenomenon, specifically focusing on the relationship between smartphone addiction and impaired work productivity among the modern working population.  The primary objective of this study was to empirically examine the influence of smartphone addiction on professional output and to determine if attention control—the executive capacity to concentrate on goal-relevant stimuli and flexibly switch between tasks—functions as a mediating mechanism. Utilizing an analytical cross-sectional research design, this study surveyed a sample of 320 working adults (mean age 33.6 ± 7.9 years) across various professional sectors, including healthcare, education, administration, and the private sector, in Lahore, Pakistan, between March and April 2026. The research adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines to ensure the highest standards of reporting and methodological rigor.   Data collection involved three validated psychometric instruments: the Smartphone Addiction Scale-Short Version (SAS-SV) to quantify digital dependency, the Attention Control Scale (ACS) to measure executive focus and shifting capabilities, and the Work Productivity and Activity Impairment Questionnaire-General Health (WPAI-GH) to assess both absenteeism and presenteeism. The internal consistency of these instruments was robust, with Cronbach’s alpha values of 0.87 for the SAS-SV and 0.81 for the ACS, confirming the reliability of the data. Analysis was performed using IBM SPSS v28, with mediation effects tested via the Hayes PROCESS Macro (Model 4) utilizing 5,000 bootstrap resamples to ensure statistical validity, while adjusting for critical demographic and occupational covariates, such as age, gender, daily working hours, years of work experience, and sleep duration.   The results of the study indicated a significant positive correlation between smartphone addiction and work productivity impairment (r = 0.43, p < 0.001) and a significant negative correlation between smartphone addiction and attention control (r = -0.36, p < 0.001). Multivariate linear regression analysis, controlling for covariates, demonstrated that smartphone addiction remained a significant, independent predictor of work productivity impairment (adjusted B = 0.68, p < 0.001), accounting for 38% of the variance in productivity outcomes. Crucially, the mediation analysis provided empirical evidence that attention control partially mediates the relationship between smartphone addiction and work productivity, with a significant indirect effect of 0.29 (95% BCI 0.18–0.41).   These findings demonstrate that smartphone addiction is not merely a behavioral issue, but a substantial cognitive and professional liability. The partial mediation suggests that digital dependency fundamentally erodes the brain's executive "attentional filter," leaving workers in a state of chronic cognitive interference that precludes the sustained focus required for "deep work". Consequently, the study advocates for a transition in corporate culture toward "digital hygiene," where organizations prioritize structural protection from constant digital stimuli—such as notification-free hours and focus zones—alongside cognitive training for employees. This research offers essential empirical evidence for human resource departments and policymakers to craft evidence-based strategies that safeguard both organizational efficiency and the long-term cognitive health of the workforce in an increasingly digital era.