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Human resource (HR) process research emerged as a response to questions about how (bundles of) HR practices related to organizational outcomes. The goal of HR process research is to explain variability in employee and organization outcomes by focusing on how HR practices are intended (adopted) by senior managers, the way that these HR practices are implemented and communicated by line managers, and how employees perceive, understand, and attribute these HR practices. In the first part of this chapter, we present a review of 20 years of HR process research from the start, to how it developed, and is now maturing. Within the body of HR process research, several different research theoretical streams have emerged, which are largely studied in isolation without benefiting from each other. Therefore, in the second part of this chapter, we draw on previous work to propose a staged process model in which we integrate the different research streams of HR process research, recognizing contingencies in the model. This leads us to an agenda for future research and practical implications in the final part of the chapter.

Stigma remains to be a major barrier to addressing the sustained rise of human immunodeficiency virus (HIV) infections in the Philippines. Gay, bisexual, and other men who have sex with other men (MSMs) (G/B/MSM) living with HIV experience compounded stigma due to their sexual identity and HIV seropositive status. The family has been identified as one of the main sources of homonegativity and HIV-related discrimination. Drawing from the family life histories of 31 Filipino MSMs living with HIV, the authors demonstrate the concept of compounding stigma, which posits that the extent and nature of gender- and sexuality-based stigma experienced in early life may potentiate or mitigate the experience of HIV stigma in later life in the context of the family. Narrative analysis of the family life histories reveals a central factor that shaped the sexual development and stigma experiences of MSMs living with HIV: sexual identity visibility in the family (SIVF) – the family’s extent of knowledge and/or acceptance of their sexuality. Three core narratives emerged from the data that categorize informants based on the type of SIVF present in their family life viz. full, partial, and invisible. Results also trace the resultant life trajectories for each core narrative and reveal three forms of compounding stigma: low compounding stigma or compounding acceptance, compounding enacted stigma, and compounding internalized stigma.

This research focuses on the challenges of establishing a better medical system that can detect and diagnose diseases earlier. Using such cutting-edge health systems, healthcare practitioners may quickly and effectively manage patients’ medical issues by providing the appropriate data at the right time about the right people. The advancement of technology has increased the usefulness of devices that routinely analyse health measurements or monitoring time-sensitive health-related data. Medical professionals and patients alike are downloading health-related mobile apps to better track and manage their health. The research evidences how Internet of Things (IoT) technology may be used to support health care.

This study compared different types of full-time caregiver (e.g., children, older adults, COVID-19 patients) and subgroups (e.g., disability, race/ethnicity, sexual orientation) in the United States during the COVID-19 pandemic for potentially meaningful distinctions.

Data from the 9,854 full-time caregivers identified in Phase 3.2 (July 21–October 11, 2021) of the US Census Household Pulse Survey (HPS) were analyzed in this study using multinomial logistic regression to examine relationships between caregiver types, marginalized subgroups, generation, and vaccination status.

The prevalence of caregiving was low, but the type of full-time caregiving performed varied by demographic group (i.e., disability, race/ethnicity, sexual orientation, gender, generation, and vaccination status). The relative risk of being a COVID-19 caregiver remained significant for being a member of each of the marginalized groups examined after all adjustments.

To date, the HPS has not been analyzed to predict the type of full-time informal caregiving performed during the COVID-19 pandemic or their characteristics. Research limitations of this analysis include the cross-sectional, experimental dataset employed, as well as some variable measurement issues.

Prior informal caregiver research has often focused on the experiences of those caring for older adults or children with special healthcare needs. It may be instructive to learn whether and how informal caregivers excluded from paid employment during infectious disease outbreaks vary in meaningful ways from those engaged in other full-time caregiving. Because COVID-19 magnified equity concerns, examining demographic differences may also facilitate customization of pathways to post-caregiving workforce integration.