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This paper tries to retrospect the mounting application of machine learning (ML) and artificial intelligence (AI) in the human resource management area. The document applies bibliometric analysis and uses relational techniques to explore dimensions of documents in the field. The results highlight publication trends, most impactful authors, countries and institutes in the research area. The science mapping along with co-citation and bibliometric coupling analysis revealed major developments in the field. The thematic mapping and trend analysis highlighted the past and emerging trends towards significant and impactful research in the areas of robotics, big data, AI and data analytics. This paper sets the base for future researchers by coordinating and combining various past researches to help in understanding the evolution of ML and AI in human resource management and expansion of knowledgebase.

The world is on the verge of entering the deglobalization age, and industrialized economies have ushered it in. However, there is still a scarcity of comprehensive and rigorous studies in this field. This research has tried to analyze the evolution and characteristics of deglobalization research.

The authors have employed bibliometric analysis for examining the existing evidence on accelerating deglobalization thinking based on a thorough analysis of articles published during a roughly 25-year span between 1996 and 2022. This study has used the TISM-P technique to study the relationship among the factors accelerating deglobalization thinking. This research reviews the articles on several dimensions of deglobalization using the “what”, “why”, “how”, “who”, “when” and “where” approaches.

The authors specify the critical factors, policy reforms, approaches and observed characteristics explored in this developing research area.

The authors have analyzed the factors accountable for rising deglobalization thinking and also suggested strategic recommendations based on the findings to minimize the adverse impact of globalization.

Although there is a wealth of literature on globalization, very little study has been done in the field of deglobalization. This is the first substantive review being done in the deglobalization domain. The contemporary research has used the bibliometric approach and the “5W and 1 H” framework to gain a comprehensive understanding of the changing paradigm.

This paper aims to investigate the influence of consumer–brand values deviation on consumer reactions transactionally (i.e. purchase intention) and relationally (i.e. brand loyalty) and uncover two important boundary conditions, namely, cause controversy and consumption goal.

This paper uses online surveys to test the interactions between consumer-brand values deviation and cause controversy and consumption goal, which subsequently impacts consumer–brand identification.

Consumer–brand values deviation negatively affects consumers’ purchase intention and brand loyalty, and consumer–brand identification plays a mediating role in this focal detrimental influence. More importantly, when consumer–brand values deviation concerns highly controversial causes or when consumers’ consumption goal is hedonic (vs utilitarian), the impact of consumer–brand values deviation on consumer–brand identification is strengthened.

The study reveals that brand activism tends to be riskier under certain circumstances by uncovering the boundary effects of cause controversy and consumption goal.

Brands can more effectively engage in brand activism when they consider the controversy level of the cause on which they take a stance and the consumption goal of target consumers. Brand activism that concerns highly controversial issues or triggers a hedonic consumption goal can be extra risky due to its amplified impact on consumer–brand identification.

This paper introduces two boundary conditions when studying the downstream effects of brand activism and highlight the double-sidedness of brand activism.

This study aims to explore the determinants influencing consumer purchase intentions towards electric vehicles (EVs) within the Asian market. It specifically examines how perceived value and perceived risk interact with the moderating effects of environmental, policy, and social factors to shape consumer behaviors towards EV adoption. The purpose is to delineate the intricate mechanisms driving consumer intentions in the context of sustainable mobility solutions.

Adopting a quantitative research design, this investigation collected data via a survey targeting consumers across various Asian countries. The study utilized Structural Equation Modeling (SEM) to analyze the responses, enabling a robust examination of the relationships between perceived value, perceived risk, and the potential moderating roles of external factors on consumer purchase intentions towards EVs.

The analysis revealed that both perceived value and perceived risk significantly influence consumers' intentions to purchase EVs. It was also found that environmental factors effectively moderate the relationship between perceived risk and purchase intentions, while social factors moderate the relationship between perceived risk and purchase intentions, highlighting the complex influence of external elements on consumer decisions. Contrarily, policy factors did not exhibit a significant moderating impact on the relationships examined.

This research enriches the domain of sustainable technology adoption by providing nuanced insights into the factors driving consumer intentions towards EVs in the Asian context. It underscores the critical roles of perceived value and risk, along with the distinct moderating effects of environmental and social factors, offering strategic implications for stakeholders within the EV ecosystem. The study's findings contribute to the broader discourse on consumer behavior in green technology adoption, laying groundwork for future investigations across diverse settings.

The purpose of this paper is to investigate the impact of political instability at the local level on foreign firms in China. Building on the literature on political embeddedness and business power, the authors propose a theoretical framework to explain how political turnover can affect foreign firms’ performance and how they respond to such challenges by leveraging their power bases.

To test the hypotheses, the authors apply fixed effects regression to an unbalanced panel data set comprising 13,360 foreign firms from 1998 to 2013 and the political replacement that involved changes in provincial governors.

The findings confirm that political turnover incidents have a negative impact on the performance of foreign firms in China. However, the authors also found that this negative relationship is weaker for firms that can choose various types of power sources. Specifically, the study reveals that foreign firms with large firm size, government ownership and a strong foreign direct investment community are better qualified to mitigate the negative effects of political instability.

This study contributes to the literature by developing the understanding of how political uncertainties and risks affect the performance of foreign firms in China and the importance of firms’ power in counterbalancing these effects. The research provides valuable insights into how multinational corporations can exploit their power to manage the effects of local political turnover, which has practical implications for the strategy and management of foreign firms operating in China.