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In this chapter, the authors outline some of the history of the role of diversity in research and research management, how this has changed and the consequences it has for a workable definition of diversity. We describe the benefits and challenges when working with diversity as research managers and administrators (RMAs) in international research producing organisations (RPOs). The challenges differ in different parts of the world which brings new complexities to navigate. It is shown how the agendas of internationalisation and diversity do not always work well together due to cultural and political perspectives in areas including race, age, gender identity, sexual orientation and other characteristics. The authors suggest how ‘Cultural Intelligence’ (CI) can be used as a frame for RMAs working with diversity and internationalisation both in a pre- and post-award phase and outline some specific steps and initiatives RMAs can take to create equitable and inclusive research and research environments based on their practical experience in the sector.

The purpose of this study is to examine how mindfulness reduces consumers’ buy-now-pay-later (BNPL) payment scheme usage and how that relates to their overall well-being.

This study uses partial least squares structural equation modeling to test the hypotheses of a conceptual framework which is rooted in the extant literature, using an approximately representative sample of Australian consumers (N = 275).

This study finds empirical evidence for the ability of mindfulness to reduce BNPL usage through increasing consumers’ financial self-control and decreasing their impulse buying tendency. This study also obtains empirical evidence that greater BNPL usage is associated with lower subjective evaluations of consumers’ overall well-being by increasing their current money management stress and decreasing their expected future financial security.

Future research could build on the effect of mindfulness that the authors find in this study and how it could be leveraged as a protective mechanism for consumers’ financial decision-making. Such research could involve mindfulness-based interventions, such as instant messaging within smartphone applications. Doing so would also help assess causality, thus addressing the limitation of the cross-sectional nature of this study.

The findings have implications for public policymakers and business practitioners. Financial counselors are encouraged to include the measurement of personality traits such as impulse buying tendency and financial self-control in intake meetings with clients and consider the benefits of offering short mindfulness training. Given the negative effect of BNPL usage on consumers’ financial and overall well-being, and the reputational risks this implies, BNPL providers are recommended to take more responsibility to ensure consumers do not fall into a debt trap, while retailers are advised to take steps to make payment processes more “mindful.”

Although mindfulness has established effects on consumer behavior, its beneficial influence on consumer financial decision-making has rarely been explored. This study also contributes to a better understanding of the antecedents and consequences of consumers’ BNPL payment scheme usage. Although its prominence is increasing in daily life, and despite the concerns of consumer advocates, policymakers and regulators regarding its risks, the topic of consumers’ BNPL usage has received little attention in academic research so far. Finally, this study extends the emerging financial well-being literature by demonstrating how BNPL usage can reduce consumers’ overall well-being through the mediating effect of increasing current money management stress and decreasing expected future financial security.

This chapter provides an overview of the specific legal, ethical, and privacy issues that can arise when conducting research using Twitter data. Existing literature is reviewed to inform those who may be undertaking social media research. We also present a number of industry and academic case studies in order to highlight the challenges that may arise in research projects using social media data. Finally, the chapter provides an overview of the process that was followed to gain ethics approval for a Ph.D. project using Twitter as a primary source of data. By outlining a number of Twitter-specific research case studies, the chapter will be a valuable resource to those considering the ethical implications of their own research projects utilizing social media data. Moreover, the chapter outlines existing work looking at the ethical practicalities of social media data and relates their applicability to researching Twitter.