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The purpose of this research is to look at the effects of research and development expenditures (R&D) on value and risks of publicly traded companies by studying returns on stock exchanges of R&D-intensive economies (Republic of Korea, Finland and Israel).

Empirical tests of multifactor asset pricing models were applied to demonstrate that R&D intensity could be considered as a pricing factor and affect investors’ risk premiums on those markets. To discover the reasons behind the asset pricing R&D anomaly, this study investigated the nature of R&D risk further by looking into the interactions of R&D and currency risks.

This study discovered that investors in stock markets of R&D-intensive countries should require a positive equity risk premium. However, the reduction of R&D intensity may increase firms’ risks and firms with higher R&D-intensity are less exposed to currency risks in R&D-intensive economies.

Many researchers have investigated the relationship between a firm’s R&D and stock returns. But nearly all of them focus on the US Stock Market and attempt to determine the reasons for R&D’s impact on firms’ risks and market value. Meanwhile, the role of R&D and related risks for investors could be even more prominent for stock markets in R&D-intensive countries. To bridge this gap, this research studied stock returns on exchanges of three developed countries where the ratio of gross domestic expenditure on R&D (GERD) to GDP is among the highest worldwide. In this study, the methodology of asset pricing empirical studies was adopted and it was further developed to analyze the causes of R&D risks. The new methodology was applied to discover relationship between R&D intensity and currency risk exposure. The interesting findings could be used for development of firms’ corporate strategies in those countries and for elaboration of policy decisions.

The knowledge base in public budgeting has certainly grown during the twentieth century, but the most enduring features of public budgeting were developed or documented in the first half of the century. The line item budget is still the dominant format in government budgeting; incremental adjustment to the previous year’s allocation is still the dominant budget process. Later developments in public budgeting, like planning-programming-budgeting system (PPBS), management by objective (MBO), zero-based budgeting (ZBB), and performance budgeting have had very little enduring impact on the practice of budgeting, largely because they reflected presidential attitudes about the role of government in society rather than theoretical advances in budgeting.

The purpose of this paper is to examine how the perceived benefits and costs of volunteering affect participation. Based on this rational choice approach, the research tests a multivariate model of the determinants of volunteering.

The database for the empirical analysis is the 2005 Americans' Time Use Survey. To estimate the model of participation in volunteer activity, this research uses the complementary log‐log technique.

The findings support the central hypothesis that participation in volunteering decreases as the opportunity cost of volunteer activity increases. In addition, participation in volunteering increases as people perceive themselves as more embedded in their communities, thus suggesting that rational individuals make strategic assessments in their decisions to volunteer based on the level of trust in the exchange relationship.

The findings suggest that policies that promote a sense of embeddedness in the community, as well as those that link the workplace and volunteer opportunities, would help motivate rational individuals to volunteer. In‐depth interviews to ascertain people's motivations to volunteer would be useful to supplement the findings.

The findings suggest that policies that promote a sense of embeddedness in the community, as well as those that link the workplace and volunteer opportunities, would help motivate rational individuals to volunteer.

This paper contributes to the understanding of volunteer behavior as a rational choice in an exchange relationship. Based on these findings, this research argues that policies that promote a sense of community embeddedness as well as those that link the workplace and volunteer opportunities, help motivate rational individuals to volunteer.

The purpose of this paper is to investigate the empirical relevance of attribute framing in the financial marketplace.

Incorporating a sample of German initial public offerings (IPOs) from 2010 to 2019, the author uses quantitative methods, including regression models and tests for the equality of means, to analyze whether unsophisticated investors are susceptible to attribute framing and whether this susceptibility reflects irrational behavior.

Unsophisticated investors, who are typically retail investors, are susceptible to attribute framing. They are likely to subscribe to IPOs whose attribute “market valuation” is framed in a positive way, that is, IPOs with low offer prices. As low-priced IPOs are overvalued and underperform in the secondary market relative to high-priced IPOs, the susceptibility to attribute framing reflects irrational behavior. The findings are robust to controlling for sentiment.

Since this paper includes a relatively small sample from a single stock market, future research might employ alternative approaches.

When issuers and underwriters are able to exploit retail investors through attribute framing, the participation of these investors in the financial marketplace may finally decrease. Therefore, the financial literacy of retail investors needs to be improved.

This paper is the first to provide empirical evidence of attribute framing in a financial markets context. While most previous research on IPO offer prices focuses on US stocks, this paper is the first to incorporate German stocks.

This article aims to help educators provide a holistic view of the LGBTQ community by highlighting children’s books that include non-parental LGBTQ characters.

The author selected over 80 children’s books honored by the American Library Association’s Rainbow Book List. Twenty-two books were analyzed that contain examples of LGBTQ adults existing beyond the homonormative nuclear family, e.g. two same-sex parents raising children.

The author discusses various ways of living represented in these books, such as chosen families, extended families, romantic partnerships and singlehood.

With the increased number of high-quality LGBTQ-inclusive children’s books published in the past decade, this study provides the foundation for educators to select various texts that reveal diverse representations of LGBTQ individuals.

Through a review of historically famous cases and a chronicle of neurotechnology development, this chapter discusses brain structure and brain function as two distinct yet interrelated paths to understand the relative contributions of anatomical and physiological mechanisms to the human brain–behavior relationship. From an organizational neuroscience perspective, the chapter describes over a dozen neuroimaging technologies that are classified under four groupings: morphologic, invasive metabolic, noninvasive metabolic, and electromagnetic. We then discuss neuroimaging variables that may be useful in social science investigations, and we underscore electroencephalography as a particularly useful modality for the study of individuals and groups in organizational settings. The chapter concludes by considering emerging science and novel brain technologies for the organizational researcher as we look to the future.

This study aims to investigate, for the first time in the literature, the stochastic properties of the US aggregate health-care price inflation rate series, using the data on health-care inflation rates for a panel of 17 major US urban areas for the period 1966-2006.

This goal is undertaken by applying the first- and second-generation panel unit root tests and the panel stationary test developed recently by Carrion-i-Silvestre et al. (2005) that allows for endogenously determined multiple structural breaks and is flexible enough to control for the presence of cross-sectional dependence.

The empirical findings indicate that after controlling for the presence of cross-sectional dependence, finite sample bias, and asymptotic normality, the US aggregate health-care price inflation rate series can be characterized as a non-stationary process and not as a regime-wise stationary innovation process.

The research findings apply to understanding of health-care sector price escalation in US urban areas. These findings have timely implications for the understanding of the data structure and, therefore, constructs of economic models of urban health-care price inflation rates. The results confirming the presence of a unit root indicating a high degree of inflationary persistence in the health sector suggests need for further studies on health-care inflation rate persistence using the alternative measures of persistence. This study’s conclusions do not apply to non-urban areas.

The mean and variance of US urban health-care inflation rate are not constant. Therefore, insurers and policy rate setters need good understanding of the interplay of the various factors driving the explosive health-care insurance rates over the large US metropolitan landscape. The study findings have implications for health-care insurance premium rate setting, health-care inflation econometric modeling and forecasting.

Payers (private and public employers) of health-care insurance rates in US urban areas should evaluate the value of benefits received in relation to the skyrocketing rise of health-care insurance premiums.

This is the first empirical research focusing on the shape of urban health-care inflation rates in the USA.

The search for more effective policies, choice of optimal implementation strategies for achieving defined policy targets (e.g., cost-containment, improved access, and quality healthcare outcomes), and selection among the metrics relevant for assessing health system policy change performance simultaneously pose continuing healthcare sector challenges for many countries of the world. Meanwhile, research on the core drivers of healthcare costs across the health systems of the many countries continues to gain increased momentum as these countries learn among themselves. Consequently, cross-country comparison studies largely focus their interests on the relationship among health expenditures (HCE), GDP, aging demographics, and technology. Using more recent 1980–2014 annual data panel on 34 OECD countries and the panel ARDL (Autoregressive Distributed Lag) framework, this study investigates the long- and short-run relationships among aggregate healthcare expenditure, income (GDP per capita or per capita GDP^_HCE), age dependency ratio, and “international co-operation patents” (for capturing the technology effects). Results from the panel ARDL approach and Granger causality tests suggest a long-run relationship among healthcare expenditure and the three major determinants. Findings from the Westerlund test with bootstrapping further corroborate the existence of a long-run relationship among healthcare expenditure and the three core determinants. Interestingly, GDP less health expenditure (GDP^_HCE) is the only short-run driver of HCE. The income elasticity estimates, falling in the 1.16–1.46 range, suggest that the behavior of aggregate healthcare in the 34 OECD countries tends toward those for luxury goods. Finally, through cross-country technology spillover effects, these OECD countries benefit significantly from international investments through technology cooperations resulting in jointly owned patents.

The purpose of this paper is to explore the factors that drive consumer love toward a brand and the opportunities a consumer’s love create for a brand in India.

A total of 23 in-depth interviews were conducted with consumers. The interview transcripts were analyzed through thematic analysis using qualitative software Nvivo10.

This paper proposes a conceptual model where respect, brand experience, and brand reputation have been identified as factors driving brand love and affective commitment, consumer citizenship behavior, repurchases intention, consumer forgiveness, and attitude toward the extension as outcomes of brand love.

Consumers bond with brand helps in mitigating the feelings of transgressions by the brand, and also protects brand from negative word of mouth. Consumers who are in love with a brand show positive attitude toward its extensions. These results provide pointers to brand managers on how to protect and expand the business.

The extant brand love research seems to be solely in the western context. To the best of the author’s knowledge, this is the first study of its kind that empirically investigates antecedents and consequences of brand love in India.