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The purpose of this paper is to advance our understanding of international crisis mediation by introducing and examining the nested insider-partial mediator (NIPM) concept, a nuanced perspective on IPM behavior. This study challenges the traditional view of effective mediators as external, unbiased entities by delving into the behavior and contribution of mediators who are deeply embedded in the conflict environment, such as South Korea’s unique position in navigating the US–DPRK crisis in 2017–2018. By analyzing South Korea’s dual role as mediator and negotiator and its employment of both nondirective and directive mediation strategies, the paper demonstrates the potential effectiveness of NIPMs in managing complex biases and contributing to de-escalation in intense crisis scenarios.

This paper uses a focused single-case study approach to analyze South Korea’s role as an NIPM. Using a process-tracing methodology, it examines how contextual factors such as relationships, interests and inherent biases influenced South Korea’s mediation strategies in this complex geopolitical scenario. Empirical evidence was retrieved from public sources, including official statements and press interviews, providing an empirical foundation for understanding NIPM behavior. This approach facilitates a detailed study of South Korea’s unique mediation role within the intricate dynamics of the Korean Peninsula conflict.

The study’s findings illustrate the pivotal role NIPMs can play in complex international conflicts, underlining the significant potential of NIPMs in crisis prevention. The findings highlight South Korea’s adept navigation through intricate geopolitical dynamics, leveraging its unique insider position and established relationships with both the USA and North Korea. This behavior was instrumental in mitigating a potentially explosive situation, steering the crisis toward negotiation and de-escalation. The research underscores the effectiveness of the NIPM framework in understanding the nuanced behavior of mediators who are deeply integrated into multi-level conflicts, influenced by their connections, interests and inherent biases.

This research not only broadens the theoretical framework of insider-partial mediation by introducing the concept of NIPM, but also has practical implications for policymakers and practitioners in leveraging regional mediation strategies for international crisis mitigation. The study underscores the importance of mediators’ deep-rooted connections, biases and vested interests in influencing their mediation tactics, thus offering a comprehensive understanding of the multifaceted nature of international mediation in complex geopolitical conflicts.

This chapter analyzes how institutional pressures have allowed for continuities as well as brought about changes in modern police organizations in Korea. When facing a legitimacy crisis, the Korean law enforcement system has typically responded with organizational restructuring. Strong myth-building patterns compensate for the lack of moral legitimacy of the police, particularly under authoritarian-military regimes that suppress democratization movements in Korea. Even after seemingly radical organizational changes aimed at placing the police under democratic control, highly institutionalized core structures of the police remain in place. Performance reform after the economic crisis, which was proceeded from reformers’ shared belief in the market-driven solutions, diagnosed the Korean police as a big, inefficient, and self-serving bureaucracy, a diagnosis that eventually caused gradual deterioration in the taken-for-grantedness of policing activities. The internet and social media made the Korean police even more vulnerable to external challenges and a questioning of its legitimacy.

The purpose of this paper is to investigate how biological scientists form research ethics for data sharing, and what the major factors affecting biological scientists’ formation of research ethics for data sharing are.

A research model for data sharing was developed based on the consequential theorists’ perspective of ethics. An online survey of 577 participants was administered, and the proposed research model was validated with a structural equation modeling technique.

The results show that egoism factors (perceived reputation, perceived risk, perceived effort), utilitarianism factors (perceived community benefit and perceived reciprocity) and norm of practice factors (perceived pressure by funding agency, perceived pressure by journal and norm of data sharing) all contribute to the formation of research ethics for data sharing.

This research employed the consequentialist perspective of ethics for its research model development, and the proposed research model nicely explained how egoism, utilitarianism and norm of practice factors influence biological scientists’ research ethics for data sharing, which eventually leads to their data sharing intentions.

This research provides important practical implications for examining scientists’ data sharing behaviors from the perspective of research ethics. This research suggests that scientists’ data sharing behaviors can be better facilitated by emphasizing their egoism, utilitarianism and normative factors involved in research ethics for data sharing.

The ethical perspectives in data sharing research has been under-studied; this research sheds light on biological scientists’ formation of research ethics for data sharing, which can be applied in promoting scientists’ data sharing behaviors across different disciplines.

Children experience toxic stress if there is pronounced activation of their stress-response systems, in situations in which they do not have stable caregiving. Due to their exposure to multiple poverty-related risks, African American children may be more susceptible to exposure to toxic stress. Toxic stress affects young children’s brain and neurophysiologic functioning, which leads to a wide range of deleterious health, developmental, and mental health outcomes. Given the benefits of early care and education (ECE) for African American young children, ECE may represent a compensating experience for this group of children, and promote their positive development.

This paper aims to examine how consumers respond to social media influencers that are created through artificial intelligence (AI) and compares effects to traditional (human) influencers.

Across two empirical studies, the authors examine the efficacy of AI social media influencers. With Study 1, the authors establish baseline effects for AI influencers and investigate how social-psychological distance impacts consumer perceptions. The authors also investigate the role of an influencer’s agency – being autonomous or externally managed – to test the boundaries of the results and determine the interactive effects between influencer type and influencer agency. Study 2 acts as an extension and validation of Study 1, whereby the authors provide generalisability and overlay the role of need for uniqueness as a moderated mediator.

The authors show that there are similarities and differences in the ways in which consumers view AI and human influencers. Importantly, the authors find no difference in terms of intention to follow or personalisation. This suggests that consumers are equally open to follow an AI or human influencer, and they perceive the level of personalisation provided by either influencer type as similar. Furthermore, while an AI influencer is generally perceived as having lower source trust, they are more likely to evoke word-of-mouth intentions. In understanding these effects, the authors show that social distance mediates the relationship between influencer type and the outcomes the authors investigate. Results also show that AI influencers can have a greater effect on consumers who have a high need for uniqueness. Finally, the authors find that a lack of influencer agency has a detrimental effect.

The studies investigate consumers’ general response to AI influencers within the context of Instagram, however, future research might examine consumers’ response to posts promoting specific products across a variety of category contexts and within different social media platforms.

The authors find that in some ways, an AI influencer can be as effective as a human influencer. Indeed, the authors suggest that there may be a spill-over effect from consumer experiences with other AI recommendation systems, meaning that consumers are open to AI influencer recommendations. However, the authors find consistent evidence that AI influencers are trusted less than traditional influencers, hence the authors caution brands from rushing to replace human influencers with their AI counterparts.

This paper offers novel insight into the increasingly prominent phenomenon of the AI influencer. Specifically, it takes initial steps towards developing understanding as to how consumers respond to AI influencers and contrast these effects with human influencers.

This paper analyzes the communal fund of a school alumni association in South Korea and attempts to expand the understanding of money's social role in maintaining its network. The analysis concentrates on the account book of the 1974 alumni association of Hani High School in Seoul and follows the expenditure traces of its communal fund since 1987. Over the last 30 years, money for the communal fund has been regularly collected at the alumni reunions and distributed on various ceremonial occasions, such as member weddings and funerals. By defining the alumni association as a type of kye, this study explores the correlation between the communal fund's operation and the members' belongingness in the association. Most of them have actively engaged in operating their communal fund. They have applied flexible management regulations, reflecting members' respective financial conditions and life events. In the distribution of their fund, not only economic principles but also moral and normative standards are manifested. The 1974 alumni association and their communal fund demonstrate the symbolic meaning of money and its active role in a community. It also challenges the widespread belief that money is an alienating object in the market society. Indeed, money has morality and the potential to help maintain social ties in the long run.

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.

Due to the scope of procurement in the public sector, public procurement policy has the potential to shape the behavior of market actors and promote the growth of businesses with socially relevant characteristics. This chapter looks at the public procurement process in South Korea as well as the implementation of the country’s e-procurement system. Public procurement is vulnerable to corruption in various ways, and Korea’s KONEPS e-procurement system has reduced corruption in the procurement process by increasing transparency, the persistence of data, and the probability of detecting irregularities. Second, this chapter explores how Korea has increasingly incorporated sustainable procurement principles into procurement policy, attempting to foster innovative and environmentally friendly companies, as well as those led by individuals belonging to socially disadvantaged groups. The chapter concludes with a discussion of some of the historical and organizational factors underlying Korea’s successes in public procurement in order to better understand the extent to which currently developing countries can draw upon the Korean case to improve their own procurement policies.

The past few decades have witnessed a phenomenal progress in our understanding of employee mobility as a critical driver and consequence of various outcomes for individuals, organizations, industries, and economies. In the process, researchers have tackled several important issues in conducting empirical research on employee mobility. This chapter provides a critical discussion of the extant literature focusing on five broad areas: identification of mobility, timing of mobility, outcomes of mobility and their operationalization, model identification, and other related issues. In doing so, this article identifies some of the empirical choices and methodologies adopted in prior mobility studies, evaluates those practices, and suggests areas of improvements for the practice. It is hoped that future studies will benefit from this chapter's insight by building on the best practices from the literature while continuously and successfully tackling the issues that have been challenging the researchers on this increasingly important topic of scholarly inquiry.