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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.

This chapter examines the impact of changes in foreign exchange legislation on the levels of R&D undertaken by pharmaceutical firms in India. Foreign exchange legislation in India was codified as the FERA, passed in 1973, and the legislation was based on the mens rea principle, assuming criminal intent on the part of transgressor. The provisions of FERA were replaced with those of new legislation, called FEMA, in 1999. The impacts of the changes have been examined.

The examination has been based on panel data of Indian pharmaceutical firms over a period of fifteen years, from 1991–1992 to 2005–2006.

The results of the analysis have shown that, controlling for a variety of other factors, a transition from FERA to FEMA has been associated with a significant rise in pharmaceutical firms’ average levels of R&D undertaken.

The research establishes that institutional changes have significantly impacted innovation performance in India. The sector examined, pharmaceuticals, is important for the Indian economy as well as for general welfare, since its products help enhance the quality of lives. How innovation can be enhanced in this sector is an important policy consideration.

The research is the first to examine the impact of changing the laws relating to foreign exchange transactions in India on capability building, via undertaking research activities, in an important sector of Indian industry.

Individuals use money, time, and effort to consume, yet implicit in most consumer research is the availability of these resources, particularly money. While the literature provides an explanation of many aspects of consumption experiences, an explanation of how money is used to fund consumption is needed.

In the present research, I explore ordinary consumer behaviors through depth interviews with individuals regarding everyday experiences to develop an understanding of the relationship between earmarking money and consumption.

Prior research finds consumers earmark monies thereby allocating it to distinct purposes, such that this earmarking influences consumer behaviors. Emergent from these data, I find evidence for two categories of consumer behaviors: protective, which are those addressing responsibilities in daily life; and, prospective which are those for shaping and representing identity. Further, I find protective or prospective behaviors are systematically associated with earmarking of money to either indexical or prosaic accounts, respectively, to fund consumption in support of the behaviors.

This study explores everyday experiences to develop an understanding of how monetary earmarks are used to fund consumption. Other resources necessary for consumption, specifically time and effort, were not examined, yet are influential in consumption experiences and therefore are in need of study.

These findings contribute a distinct pattern of funding evident in the relationship between types of earmarks and categories of everyday behaviors.

In the work of von Mises and Rothbard one can find a case for a strong presumption against traditional coercive paternalist policies. Coercion is generally undesirable, and legislators and bureaucrats cannot know what is best for each agent. Not all of the traditional case against paternalism applies to the new libertarian paternalism espoused by behavioral economists and popularized in Sunstein’s and Thaler’s Nudge. There is no way to rule out the possibility that legislators sometimes know better than agents what generally benefits them, and that they can impose feasible regulations that do not limit important freedom and whose costs and risks do not outweigh their benefits. Paternalism is not a bugbear to be avoided at all costs. There’s good reason for skepticism about its virtue and feasibility but no justification for its blanket condemnation.

New information and communication technologies have transformed the ways businesses communicate and maintain relationships with their customers. In this chapter, we review the main topics in academic research pertaining to digital marketing and relationship perspectives. The discussion involves email and website marketing, search engine marketing, user-generated content, co-creation marketing, social media marketing, prosumption marketing in the sharing economy, immersive marketing and AI-based marketing. On this basis, the chapter proposes some future research directions including influencer marketing, live streaming, social service enhancement and the dark side of social media marketing, consumer-to-consumer interactions on two-sided platforms, psychological mechanisms related to the use of mixed realities, and the experience of AI-enabled service automation and relevant ethical issues. Furthermore, emerging technologies such as the Internet of things (IoT) and blockchain are expected to be the next breakthrough in marketing, which warrant further research to examine their impact on the customer-firm relationship. It is suggested the researchers could focus on the adoption and application of blockchain technology, participative marketing via IoT, as well as the privacy and data protection issues related to these technologies. This chapter provides a comprehensive picture of the connection between digital marketing and relationship marketing in academic research.