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The purpose of this review is to examine the current state-of-the-art in artificial intelligence (AI) implementations within library settings across Southeast Asia.

The study uses the AI Library Services Innovative Conceptual Framework (AI-LSICF) to evaluate the AI initiatives in Southeast Asian libraries. Sources include relevant libraries and association’s websites, mainstream newspapers across Southeast Asia, together with academic papers published between 2019 and 2024, with a focus solely on English-language literature.

Most of the Southeast Asian libraries are in the decision and implementation stages in utilising AI technologies into library operations. It is evident that most of the libraries have made the decision to embrace AI techniques in the workplace and have started to implement the AI-enabled applications. Nevertheless, those implementations are not yet comprehensive and most of the projects are still in the trial stage. This suggests a unanimous decision concerning the use of AI in the libraries across the region has not been reached. Librarians may still face challenges and concerns in adopting AI, including resource constraints, application maintenance, staff reluctance, staff training, data security concerns and more.

A limitation of this study is its focus on completed and published projects, due to limited access to ongoing or unpublished initiatives. Non-English publications were excluded which may have omitted relevant studies and insights from non-English-speaking countries.

This paper seeks to address the gap by conducting a review of the current landscape of AI applications within libraries across Southeast Asia. Its aim to provide valuable insights for Southeast Asian libraries which seek to leverage AI advancements, ultimately supporting more user-centric and technologically adept library services.

The originality of this paper lies in its unique perspectives on library settings in Southeast Asia, showcasing successful projects while also pinpointing areas and countries in need of further development.

This paper reviews the recent collapse of two cryptocurrency enterprises, FTX and Celsius. These two cases of institutional bankruptcy have generated criminal charges and other civil complaints, mainly alleging fraud against the CEOs of the companies. This paper aims to analyse the fraud leading to these bankruptcies, drawing on key concepts from the research literature on economic crime to provide explanations for what happened.

This paper uses a case study approach to the question of how large financial institutions can go off the rails. Two theoretical perspectives are applied to the cases of the FTX and Celsius collapses. These are the “normalisation of deviance” theory and the “cult of personality”.

In these two case studies, there is an interaction between the “normalisation of deviance” on the institutional level and the “cult of personality” at the level of individual leadership. The CEOs of the two companies promoted themselves as eccentric but successful examples of the visionary tech finance genius. This fostered the normalisation of deviance within their organisations. Employees, investors and regulators allowed criminal and highly financially risky practices to become normalised as they were caught up in the attractive story of the trailblazing entrepreneur making millions in the new cryptoeconomy.

This paper makes a contribution both to the case study literature on economic crime and to the development of general theory in economic criminology.

This study examines the motivational processes of charged behavior and collective efficacy driving interdependence and agency in new product development (NPD) teams and the moderating impact of team risk-taking propensity as affective, cognitive and behavioral social processes support team innovation.

Data were collected from 92 NPD teams engaged in B2C and B2B product and service development. Mediating and moderating effects are examined using partial least squares structural equation modeling, referencing social cognitive and collective agency theories as the research framework.

The analysis validates collective self-efficacy and charged behavior as interdependent motivational–affective processes that align cognitive resources and govern team effort toward innovativeness. Teams' risk-taking propensity regulates behavior, and collective efficacy facilitates self-regulated motivational engagement. Charged behavior cultivates the emotional contagion, team identification, cohesion and adaptation required for team functioning. Team potency fosters cohesiveness, while team learning improves adaptability along the innovation journey. The resulting theory asserts that motivational drivers enhance the interplay between cognitive and behavioral processes.

Managers should consider NPD teams as social systems with a capacity for collective agency nurtured through interdependence, which requires collective efficacy and shared competencies to generate motivational purpose and innovativeness. Managers must remain mindful of teams' risk tolerance as regulating the impact of motivational factors on innovativeness.

This study contributes to research on the motivational–affective drivers of NPD charged behavior and collective efficacy as complementary to cognitive and behavioral processes sustaining team innovativeness.