Recent advancements in mHealth apps and services have played a vital role in strengthening healthcare services and enabling their accessibility to marginalized people. With the alarming rise in COVID-19 infection rates around the world, there appears to be an urgent call to modernize traditional medical practices to combat the pandemic. This study aims to investigate the key factors influencing the trialability of mHealth apps/services and behavioral intention to adopt mobile health applications. The study also examines the moderating effects of self-discipline motivation, knowledge, and attitude on the relationship between trialability and behavioral intention to use. The deductive reasoning approach was followed in a positivism paradigm. The study used convenience sampling and collected responses from 280 Generation Y participants in Bangladesh. Partial least square-based structural equation modeling was employed. The results revealed that relative advantage (β = 0.229, p < 0.05), compatibility (β = 0.232, p < 0.05), complexity (β = −0.411, p < 0.05), and observability (β = 0.235, p < 0.05) of mHealth apps influence the trialability of mHealth apps and services among users. Trialability compatibility (β = 0.425, p < 0.05) of mHealth was positively related to the behavioral intention to use these mobile apps. The study found no moderating effects of attitude (β = 0.043, p > 0.05) or self-discipline motivation (β = −0.007, p > 0.05) on the hypothesized relationships. The empirical findings of this study may facilitate the development, design process, and implementation of mHealth applications with improved features that can lead to high user acceptance among Generation Y during future health crises.

This study investigates the dynamic relationships between environmental literacy, green behavior, environmental awareness, sustainability mindset, and environmental resilience within the Stimulus–Organism–Response (SOR) framework. As environmental challenges such as climate change and resource depletion intensify, building adaptive capacities collectively known as environmental resilience has become crucial. While environmental literacy and green behavior are established drivers of sustainability, the cognitive and affective mechanisms linking them to resilience remain insufficiently explored. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM), this study examines both direct and mediated effects of environmental literacy and green behavior on resilience through environmental awareness and sustainability mindset. Beyond structural modeling, Importance–Performance Map Analysis (IPMA) identifies the constructs most influential in enhancing resilience while highlighting areas requiring improvement, and Necessary Condition Analysis (NCA) establishes threshold levels of key antecedents essential for resilience development. The findings confirm that environmental literacy and green behavior significantly enhance resilience both directly and indirectly, with awareness and mindset acting as partial mediators. The integration of PLS-SEM, IPMA, and NCA provides a robust, multidimensional understanding of the drivers of resilience, offering theoretical contributions by extending the SOR model to environmental contexts. Practically, the study highlights the need for holistic strategies that simultaneously strengthen knowledge, encourage eco-friendly behaviors, and cultivate sustainability-oriented mindsets to empower communities in adapting to and recovering from environmental challenges.