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This study investigates advertising avoidance behavior among consumers, specifically in the realm of meta-platforms. It explores the impacts of digital burnout, advertising clutter, perceived advertising risk, and goal impediment on cognitive and behavioral ad avoidance.

With a sample of 410 respondents, the research employs a comprehensive analysis approach with SEM and CFA, integrating Avoidance Motivation Theory. It examines direct and indirect influences on ad avoidance, mediated by consumer emotions and attitudes. The study highlights the moderating role of content quality in shaping these relationships.

Significant links were found between digital burnout, clutter, perceived advertising risk, and goal impediment with cognitive and behavioral ad avoidance. The study emphasizes the importance of content quality and suggests strategies that focus on emotional resonance, user alignment, and reduced intrusion.

For advertisers and marketers in digital spaces, the findings recommend strategies promoting healthy technology usage, streamlined advertising content, transparent communication aligned with user goals, and emotionally resonant campaigns to mitigate ad avoidance behaviors.

Understanding consumer sentiments aids policymakers in creating conducive advertising models, benefiting both consumers and businesses. This enhances user experiences in digital environments.

The paper distinctively applies the Avoidance Motivation Theory to the context of avoiding social media advertisements, thereby uncovering the causes of negative consumer emotions and attitudes, and highlighting the crucial role of content quality as a means to counteract these adverse reactions.

The study principally aims to investigate the relationship among work–life balance (WLB), job satisfaction (JS) and employee commitment (EC) among the railway staff by integrating the social exchange theory (SET). The study also explores JS as a mediator in the context of the new normal.

A mixed-method sequential explanatory design was utilized for this study. The research instrument was administered to 533 railway employees, using purposive sampling to ensure reliability and validity. Structural equation modeling (SEM) was employed to analyze the quantitative data and measure mediation effects. Additionally, 15 interviews were conducted with employees from three job positioning groups (A, B and C) to gain further insights into commitment-related concerns.

The study found that WLB and JS positively influenced EC, with JS acting as a mediator between WLB and EC. Furthermore, factors such as fostering friendships among colleagues, effectively managing work–life integration and recognizing the importance of job roles were identified as crucial in enhancing the relationship between WLB and EC.

The study includes SET to examine the social exchange process while considering WLB benefits as a reward from the employer and EC as the outcome of this reward. This study contributes by examining the effects of COVID-19 on the railway industry and EC. The mixed-methods sequential explanatory design gave a comprehensive understanding of the relationships between WLB, JS and EC. The study’s implications highlight the importance of implementing supportive policies, such as flexible work schedules and a supportive organizational culture, to enhance employee commitment and reduce attrition rates. The study emphasizes the significance of prioritizing employee well-being to achieve organizational goals and enhance organizational commitment.