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Interest in generational research has garnered a lot of attention, as the workplace is seeing multiple generations (i.e., the Silent Generation, Baby Boomers, Gen Xers, and Millennials) working side-by-side for the first time. However, it is unclear how multiple generations of workers interact with each other and affect the workplace. Although there is extant literature on generational differences, some scholars have argued that the effect sizes are small and the differences are not meaningful. The focal aim of this chapter is to present the current state of literature on generational research. We present the relevant conceptualizations and theoretical frameworks that establish generational research. We then review evidence from existing research studies to establish the areas of differences that may exist among the different generations. In our review, we identify the issues arising from generational differences that are relevant to human resource management (HRM) practices, including new workforce entrants, aging workers, the changing nature of work and organizations, and leadership development. We conclude with several directions for future research on modernizing workplace policies and practices, ensuring sustainability in current employment models, facilitating future empirical research, and integrating the effects of globalization in generational research.

This study aims to evaluate the potential of using the components of the quadruple helix and quintuple helix models, which are extensions of the triple helix university-private sector-public sector cooperation model. Thus, the triple helix model shaped by university-private-public sector cooperation has transformed into a quadruple helix innovation model with the inclusion of the media and culture-oriented public helix. In this context, while the triple helix emphasizes tripartite networks and hybrid organizations, the quadruple helix system focuses on intertwined collaborations, coevolution, and specialization within the framework of firms, institutions, and stakeholders. In the quadruple helix innovation system, the coevolution of art and innovation has assumed a central role in knowledge generation and innovation. In the quintuple helix innovation model, the natural environment of society is added to the quadruple helix. This study consists of three parts. In the first part, the literature on triple helix, quadruple helix, and quintuple helix models is reviewed. In the second part, digital transformation and technological innovations from Industrial Revolution 1.0 to Industry 5.0 are analyzed. In the third section, the contribution of the quintuple helix model to Industry 5.0 and Society 5.0 is explained.

This paper provides a review of research on financial derivatives, with an emphasis on and comprehensive coverage of research published in 15 top accounting journals from 1996 to 2017. We begin with some brief institutional details about derivatives and then summarize studies explaining when and why firms use derivatives. We then discuss the evolution of the accounting rules related to derivatives (and associated disclosure requirements) and studies that examine changes in these requirements over the years. Next, we review the literature that examines the consequences of firms’ derivative use to various capital market participants (i.e., managers, analysts, investors, boards of directors, etc.), with an emphasis on the role that the accounting and disclosure rules play in such consequences. Finally, we discuss the importance of industry affiliation on firms’ derivative use and the role that industry affiliation plays in derivatives research. Overall, our review suggests that, perhaps due to their inherent complexity and data limitations, derivatives are relatively understudied in accounting, and we highlight several areas where future research is needed.

I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to fit financial time series and at the same time provide powerful tools to test hypotheses formulated in the light of financial theories, and to generate positive economic value, as measured by risk-adjusted performances, in dynamic asset allocation applications. The chapter also reviews the role of Markov switching dynamics in modern asset pricing models in which the no-arbitrage principle is used to characterize the properties of the fundamental pricing measure in the presence of regimes.

This study examines the effects of narcissism and bonus-based incentive plans on managerial decision-making performance. Using an experiment, the authors first examine decision choices under two levels of an incentive threshold (high and low). Narcissism is measured using the Narcissistic Personality Inventory (NPI). Typically, the NPI is used as a single monolithic construct in analyses; however, in this study, the authors subdivide it in two ways to gain more nuanced information about its impact on decision making. First, the authors split the NPI into three levels – high, medium, and low (Hascalovitz & Obhi, 2015), and then decompose it into its adaptive and maladaptive components (Campbell, Hoffman, Campbell, & Marchisio, 2011) to examine how these subdivisions affect performance. Results show that the different levels of incentive thresholds affect performance among narcissistic individuals. Results indicate that individuals higher in narcissism and higher in levels of adaptive and maladaptive narcissism outperform their low-trait counterparts in a lower-threshold environment, but not in a high threshold environment.