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This chapter aims to trace how the theoretical frameworks of actuarialism and managerialism have been slowly introduced into the Latin–American scientific debate, focusing on the Argentinian and Chilean examples. With this objective in mind, we explore the journey of these theories in our region focusing on the work. Additionally, we address other academic contributions that highlight “actuarial techniques” of risk as central features to analyze contemporary penalty, policing tactics, or criminal court outcomes and practices (Hannah-Moffat, 2013a, 2013b; Harcourt, 2007; Marutto & Hannah-Moffat, 2006), even overlapping concepts like actuarialism and managerialism (Barker, 2009; Kohler-Hausmann, 2018). Subsequently, we describe the acclimation of these theories in Argentina and Chile, characterized for a limited impact on the scientific debate. We suggest that the main reason for this little impact is the different stages of the criminal justice system between Global North and Global South countries. While in the first one, actuarialism and managerialism were born to explain especially the field of risk analysis, and secondarily, the role of the new public management; in the case of Latin America, managerialism has been observed through the criminal justice system reform developed in the last three decades. This observation has focused especially on some organizational transformations and, for this reason, the analysis about actuarialism and risk assessment have been marginals. We concluded that although the influence of the literature about actuarialism and managerialism from the Global North in Latin–American is real, it is not possible to extrapolate all its elements to the penal systems in the region.

This paper aims to determine the impact of perceived virtuality on team dynamics and outcomes by adopting the Input-Mediators-Outcome (IMO) framework. Further, it also investigates the mediating role of team processes and emergent states.

The authors collected survey data from 315 individuals working in virtual teams (VTs) in the information technology sector in India using both offline and online questionnaires. They performed the analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM).

The authors investigated two sets of hypotheses – both direct and indirect (or mediation interactions). Results show that psychological empowerment and conflict management are significant in managing VTs. Also, perceived virtuality impacts team outcomes, i.e. perceived team performance, team satisfaction and subjective well-being.

The interplay between the behavioural team process (conflict management) and the emergent state (psychological empowerment) was examined. The study also helps broaden our understanding of the various psychological variables associated with teamwork in the context of VTs.

Findings from this study will aid in assessing the consequences of virtual teamwork at both individual and organisational levels, such as guiding the design and sustainability of VT arrangements, achieving higher productivity in VTs, and designing effective and interactive solutions in the virtual space.

The study examined the interplay between behavioural team processes (such as conflict management) and emergent states (such as psychological empowerment). The study also theorises and empirically tests the relationships between perceived virtuality and team outcomes (i.e. both affective and effectiveness). It may serve as a guide to understanding team dynamics in VTs better.

This exploratory study attempts to enhance the current understanding of the research and practice of VTs within a developing economy.

The purpose of this study was to introduce teacher epistemic curiosity for student learning into the leadership literature and to determine if school principals can support it. The inquiry was organized by the following research question: In what ways can principal–teacher conversations support teacher epistemic curiosity for student learning? The research question guided the review of literature on epistemic curiosity, eventually leading to the leadership practice of transformative leadership conversation (TLC). A hypothesized model on the relationship between TLC and epistemic curiosity for student learning was advanced from research on student and employee curiosity and self-determination theory.

The hypothesized model was tested with a correlational research design. Teacher survey data were collected in December 2023 from a random sample of certified public school teachers from a metropolitan area in a southwestern state of the USA. Usable survey responses were received from 2,022 teachers, resulting in a 55% response rate. The hypothesized model was tested with structural equation modeling in AMOS 28 using robust maximum likelihood estimation. The latent models include measurement and structural components.

Results confirm the hypothesized relationships among TLC, need-satisfaction and teacher epistemic curiosity. TLC and need-satisfaction both had strong, direct relationships with teacher epistemic curiosity for student learning. TLC explained approximately 20% of the variance in teacher curiosity and need-satisfaction explained approximately 18%. The combined model accounted for approximately 55% of the variance in teacher epistemic curiosity.

The study emerged from robust evidence on the essential function of curiosity for knowing, learning, performance and life well-being, as well as limited research on social processes that leaders can leverage to stimulate teachers’ motivation to understand how their students learn. Curiosity is an inner energy behind learning; it fuels an innate drive to explore, know, create, design and adapt to our surroundings. Schools and classrooms come to life when teachers and students engage in learning from a place of curiosity, making this motivational resource worthy of leadership attention.

The metaverse, a virtual space where one can build and explore with others using avatars, is drawing global interest. Then questions arise: What drives consumers to customize their avatars and purchase virtual items in the metaverse? Who customizes and purchases virtual items more than others? To find the answers, this study tested a research model that explains why consumers customize their avatars and buy virtual items in the metaverse.

Based on the stimuli-organism-response model, this study posits that metaverse characteristics (i.e. escapism, visual attractiveness, social interaction and autonomy) arouse consumers’ curiosity toward the metaverse, which in turn evokes avatar customization behavior and virtual item purchase intention. Survey data from 501 metaverse-experienced consumers in both the US and Korea are analyzed.

The result revealed that all four metaverse characteristics were found to stimulate consumers’ curiosity. Consumers’ curiosity enhances avatar customization behavior and purchase intention of the virtual items. Further, avatar customization behavior increases the purchase intention of virtual items.

The findings provide valuable insights into how metaverse platforms can effectively engage consumers by stimulating curiosity, especially through social interaction, and offering extensive avatar customization options and virtual items.

This study highlights how the metaverse’s open-ended experiences, user-driven customization and social interactions – unlike traditional online games – spark consumer curiosity. It emphasizes the pivotal role of curiosity in driving metaverse engagement and highlights the need to consider it as a central construct in future research. Additionally, this study provides managerial implications for virtual item purchases in the metaverse.

This paper specifically aims to examine how (via which activities, methods and capabilities) organizations’ management deploy Artificial Intelligence (AI) systems to address underperformance. Five mitigation strategies/recommendations are introduced to manage the challenges and facilitate greater efficacies in changing organizations.

This paper conceptually synthesizes 47 articles, thematically reports and critically analyzes the AI–HRM–managerial decision-making relationship in changing organizations and discusses the impacts.

The results highlight three significant challenges and opportunities for changing organizations: (1) job performance challenges, (2) organizational performance challenges and HR and (3) collaborative intelligence opportunities.

The paper’s originality lies in addressing the current lack of a theoretical framework guiding HRM and AI experts on the managerial and strategic capabilities needed to address underperformance and their impacts in facilitating collective efficacies in human–AI collaboration in changing organizations. By further capturing an innovative HR Framework’s (1) human, (2) AI, (3) employees’ well-being, (4) jobs and (5) organizational performance, and its five key managerial recommendations/strategies, this paper develops two concepts: “technological servitization” and “re-ontological in-securitization” to advance theory in Managerial Psychology regarding the unintended/paradoxical consequences of managements’ AI-driven organizational performance interventions, including meaninglessness in organizations.

This paper explores the Entrepreneurial Well-Being (EWB) of expatriate entrepreneurs in China. Through the analysis of their contextualised lived experience across the entrepreneurial journey, the paper proposes a novel theorisation of EWB.

This study adopts an interpretivist approach of abductive reasoning to analyse the data from 50 in-depth interviews conducted with expatriate entrepreneurs in China. Expatriate entrepreneurs are confronted with enhanced challenges in their host country, leading to particular emotional engagement with the entrepreneurial journey.

Findings show the importance of life situations, emotions and relatedness in the entrepreneurial process and the EWB of expatriate entrepreneurs. Theorising from their lived experiences, the paper presents EWB as a dynamic process. It further theorises this process as a constant, ongoing interaction and integration between the self and world, in an interplay of being and becoming. Such theorisation contributes first to advancements in the EWB literature, with a stronger emphasis on the entrepreneurial aspect. The paper also contributes to discussions on contextualised entrepreneurship by stressing the role of emotions and relatedness in the pursuit of EWB.

Entrepreneurship is a global phenomenon, which is often presented as a suitable alternative career path for migrant and expatriate individuals. However, the importance of EWB for entrepreneurs requires further attention from policy-makers, support institutions and entrepreneurs themselves. By theorising EWB as a processual journey of being and becoming and the relation between the self and world, this paper opens avenues for innovative support policies and practices aiming at developing the full potential of individuals in entrepreneurship and promoting both the happiness index and the global index of society.

Organisations using advanced technology, like ChatGPT, for executing their marketing practices are proliferating, but such fast growth also comes with different adverse impacts of ChatGPT. This interaction of ChatGPT with the humanly implemented marketing 5.0 approach complements the marketing effectiveness. However, while considering the brighter aspects of this techno-marketing integration, marketers should also keep its dark side in mind. Therefore, this chapter investigates the integration of AI-enabled ChatGPT into marketing 5.0 practices. However, both the concepts under study are growing in terms of literature, and the research gap is even more extended when considering their associated views. Furthermore, significantly less literature is available emphasising the negative aspects of this advanced technology. This chapter bridges these gaps by reviewing the literature and presenting the gold-plating effect of ChatGPT usage while implementing marketing 5.0 practices. It also proposes a framework for showing the relationship between ChatGPT utilisation and practicing marketing 5.0, depicting the dark side of this techno-marketing integration. It also emphasised the need for conscious and learned associations between the concepts under study.

This chapter critically examines the unique challenges and opportunities faced by family-owned startups in emerging economies, a topic that has received limited attention in existing literature. Recognizing the high failure rate of startups, particularly in family firms, this study seeks to understand the factors contributing to their success or failure. Employing a qualitative analysis, the chapter explores various economic, legal, and cultural dimensions that influence these businesses. It provides a comparative perspective, drawing insights from various emerging economies to identify patterns and differences in the experiences of family-owned startups. The chapter aims to fill the knowledge gap by offering a comprehensive view of the success and failure dynamics in family-owned startups, with a focus on strategic, managerial, and operational aspects. This approach offers valuable insights for both academics and practitioners, aiming to guide future research and practical interventions to support the sustainability and growth of family firms in these dynamic markets.

The purpose of this study is to perform bibliometric analysis to systematically and comprehensively examine the current landscape of digital knowledge, integration and performance in the transformation of sustainability accounting, reporting and assurance.

This research uses a systematic literature review, following the Scientific Procedures and Rationales for Systematic Literature Review protocol and uses various bibliometric and performance analytical methods. These include annual scientific production analysis, journal analysis, keyword cooccurrence analysis, keyword clustering, knowledge gap analysis and future research direction identification to evaluate the existing literature thoroughly.

The analysis reveals significant insights into the transformative impact of digital technologies on sustainability practices. Annual scientific production and journal analyses highlight key contributors to the adoption of digital technologies in sustainability accounting, reporting and assurance. Keyword cooccurrence analyses have identified key themes in sustainability accounting, reporting and assurance, highlighting the transformative role of digital technologies such as artificial intelligence (AI), blockchain, Internet of Things (IoT) and big data. These technologies enhance corporate accountability, transparency and sustainability by automating processes and improving data accuracy. The integration of these technologies supports environmental, social and governance (ESG) reporting, circular economy initiatives and strategic decision-making, fostering economic, social and environmental sustainability. Cluster-by-coupling analyses delve into nine broader revealing that IoT improves ESG report accuracy, eXtensible Business Reporting Language structures ESG data and AI enhances life cycle assessments and reporting authenticity. In addition, digital transformation impacts environmental performance, big data optimizes resource use and edge computing improves eco-efficiency. Furthermore, this study identifies avenues for future research to advance the understanding and implementation of digital technology in sustainability accounting, reporting and assurance practices.

Academically, this research enriches the understanding of how digital technologies shape sustainability practices and identifies gaps in digital knowledge and integration. Practically, it provides actionable insights for organizations to improve sustainability reporting and performance by effectively leveraging these technologies. Policy-wise, the findings advocate for frameworks supporting the effective implementation of these technologies, ensuring alignment with global sustainability goals.

This study offers a detailed analysis of the performance and intellectual framework of research on implementing digital technology in sustainability accounting, reporting and assurance. It highlights the evolving research landscape and emphasizes the need for further investigation into how emerging technologies can be leveraged to achieve sustainability goals.

In today’s fast-paced and interconnected market, companies must adapt to the evolving demands of their customers. Therefore, it is essential to examine the impact of online reviews on potential customers' intent to purchase. This study seeks to identify the characteristics of electronic word-of-mouth (eWOM) that influence a buyer’s intention to purchase goods and services.

We used the snowball sampling method to collect data using a pre-tested survey instrument with a five-point Likert scale. We received 696 usable responses. We conducted assumption tests to ensure that we could use covariance-based structural equation modelling (CB-SEM) for data analysis. The collected data were analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to compute the latent variables. We then tested our research hypotheses using CB-SEM.

Eight latent constructs – perceived persuasion, perceived information, image aesthetics, ease_of_experience, eWOM_credibility, eWOM_usefulness and eWOM_adoption – have been identified, which determine the influence of eWOM on purchase intent (PI) for both tangible and experiential products. Though the structural model emerged relatively similar, the constructs had differential impacts on PI for commodities and services. The perceived information quality and source trustworthiness had a greater impact on eWOM credibility in the case of services than in the case of commodities, while image aesthetics played a more crucial role in determining the eWOM credibility for commodities than services. In both cases, credible eWOM was found useful, but a persuasive eWOM influenced its perceived usefulness more in the case of commodities. The likelihood of adopting a useful eWOM and converting it to positive PI is present in the case of both services and commodities, but the impact is much higher in the case of services.

The study has examined the interplay of three theoretical consumer behaviour models: elaboration likelihood model (ELM), stimulus-organism-response model (SOR), and information adoption model (IAM). Thus, it adds to the existing literature on the characteristics of eWOM that influence the PI of online buyers.

This study’s findings demonstrate how eWOM influences consumers' perceptions of the utility of goods and services, impacting their intention to purchase. It also provides valuable insights into marketing and consumer behaviour in the Indian market. Thus, this study assists marketers in adjusting their digital marketing strategies to ensure the effective use of eWOM characteristics to positively influence the PI of the target audience in the Indian market.

This research study examines the relationship between eWOM characteristics and PI for both goods and services sectors. Most existing literature is skewed towards specific service sectors, such as hospitality and health care. A generalised comparative study is what makes this research work unique.