Empowering the Care of Older Adults Through the Use of Technology.

In recent years, the COVID-19 pandemic and other global crises have significantly affected the lives of older adults, impacting their healthcare, social connections, and daily routines. While the increasing digitization and automation of services offer benefits such as remote healthcare access and reduced isolation, these technologies also pose challenges in terms of unfamiliarity, learning curves, and privacy and security concerns. Addressing these issues requires a collaborative approach across various fields, including health informatics, gerontology, social psychology, human-computer interaction, and cybersecurity and privacy. Understanding the cognitive, emotional, and sociocultural factors influencing older adults' use of technologies is crucial for creating inclusive and accessible digital tools. This multidisciplinary effort, as highlighted in the special issue of Work, Aging and Retirement, aims to enhance our understanding of aging and technology in today's world, empowering older adults to remain connected and maintain their well-being.

A dynamic systems theory of intrateam conflict contagion.

Recognizing the challenges that conflict poses, organizational researchers have invested considerable energy toward investigating the processes by which conflict occurs and spreads within a team. However, current theoretical frameworks of conflict contagion posit a static growth trajectory in which members become engaged in conflict and stay in conflict. While this trajectory is certainly possible, the broader conflict literature outside of the organizational sciences has shown evidence for a more varied set of potential trajectories of conflict contagion. To advance theory on team conflict, we integrate conflict research from micro-level (interpersonal) to macro-level (interstate) perspectives into a formal theory of intrateam conflict contagion. Drawing from conflict stage and social contagion theory, we theorize that team members move through three stages of conflict (disengaged, at-risk, engaged) at rates determined by four process mechanisms (faultlines, forgiveness, frustration, integration) such that disengaged individuals become at-risk of engaging in conflict, engage in conflict, then disengage, only to potentially become at risk of reengaging at a later point in time. Using computational modeling, we demonstrate the generative sufficiency of our theory to account for conflict trajectories observed in the broader conflict literature. To facilitate the interpretation of such trajectories, we present a typology of contagion trajectories, discuss the dynamic properties of these trajectories (e.g., stability, bifurcations), and provide implications for future theory building and practice. (PsycInfo Database Record (c) 2024 APA, all rights reserved).