Spoofing is a deceptive trading strategy where fraudsters place a large number of fake orders to manipulate market prices, severely distorting market fairness and threatening market stability.With the advancement of fraudulent tactics, spoofing patterns span across various levels of interaction, involving not only the local structure of individual spoofing transactions but also spoofing groups and global patterns.Relying solely on local context makes it challenging to capture multi-granularity risk signals, especially for organized and covert spoofing.Additionally, existing methods fail to consider the differences and relative importance between features of varying granularity, leading to feature distortion and noise.Therefore, we propose a multi-granularity augmented graph learning method that differentially captures fraud signals at local, group, and global levels.It utilizes multi-hop differential aggregation and communityaugmented strategy to capture information from local to global perspectives, adaptively distinguishing the contributions of different granularity.To avoid excessive fusion of multi-granularity information, we combine contrastive loss and cross-entropy loss for joint optimization, preserving key features while enhancing the method's robustness and accuracy.Extensive experiments on real-world datasets demonstrate the effectiveness of our proposed approach in spoofing detection, providing a robust solution for regulatory agencies.Our work will help financial institutions enhance their regulatory capabilities, protect investors' interests, and promote the healthy development of financial markets.

Green gamification embeds game elements into non-game green information systems to tackle environmental degradation by encouraging pro-environmental behaviours. However, its real-world impact has been limited by a lack of meaningful engagement among users. To overcome this challenge, it is crucial to promote meaningful engagement through motivations and explore the intricate relationships that underlie them. We propose a configurational model based on self-determination theory to explore how different motivations combine to impact the two meaningful engagement outcomes: experiential outcome (participation for positive experience) and instrumental outcome (participation to fulfil specific tasks). Using a two-wave longitudinal design with both subjective and objective data, we conduct necessary condition analysis and fuzzy-set qualitative comparative analysis to identify four configurations that stimulate meaningful engagement. Specifically, the experiential outcome is driven by a combination of high hedonic, high pro-environmental, high social interaction, and low recognition motivations. The instrumental outcome is enhanced by configurations of high intrinsic (hedonic and achievement), low pro-environmental, and high self-expression (or low recognition) motivations. These findings yield four propositions that provide a theoretical foundation for future research and practical insights for designing more effective green gamification applications.

Abstract As a healthcare ICT4D solution, mobile health (mHealth) can potentially improve users' well‐being during pandemics, especially in developing countries with limited healthcare resources. Recent ICT4D research reveals that providing end‐users with access to ICT is insufficient for improving well‐being and, thus, understanding how mHealth empowers end‐users to enhance well‐being against stressful events is important. However, prior research has rarely discussed the issue of empowerment in the domain of mHealth or the context of major disruptive events. This paper contributes to the literature by conceptualizing the psychological empowerment of mHealth users (PEMU) and investigating its nomological network during pandemics. Drawing upon theories of psychological empowerment and event characteristics, we developed a research model and tested it through a mixed‐methods investigation, containing a quantitative study with 602 Chinese mHealth users during COVID‐19 and a follow‐up qualitative study of 326 online articles and reviews. We found that PEMU, driven by three technological characteristics (perceived response efficacy, ease of use, and mHealth quality), affects well‐being through both (a) a stress‐buffering effect, which counterbalances the detrimental, stress‐increasing effects of event criticality and disruption, and (b) a vitality‐stimulating effect, which is intensified by event criticality. These findings have important implications for ICT4D research and practice.

Conventional e-commerce retailers are less advantageous in attracting online consumers than streamers in live commerce. In China, live commerce has gradually become the mainstream sales channel. Based on the push-pull-mooring model of migration theory, this study aims to identify the reasons that urge online consumers to switch from shopping on conventional e-commerce to live commerce, as well as the potential obstacles of such a switch. About 306 Chinese consumers with conventional e-commerce and live-stream shopping experience participated in this study. The results indicate that live commerce's attractiveness has the greatest impact on consumers' willingness to switch to live commerce, followed by dissatisfaction with conventional e-commerce, while switching costs has no significant effect. Low interactivity most greatly impacts dissatisfaction with conventional e-commerce, while streamers' charisma greatly impacts on live commerce's attractiveness, and low familiarity impacts switching costs. The authors analyze the data by gender and occupation to yield additional findings.

Security education, training, and awareness (SETA) is one of the most common and prominent strategies for organizational security governance. However, only a small portion of practitioners claimed that their SETA programs were “very effective”. A possible reason for this is the lack of a systematic understanding of the nature of SETA programs, the paths through which SETA impacts employees’ security-related beliefs or behavioral intentions, and the conditions that might influence such a relationship. This study argues that a comprehensive literature review regarding SETA is vital for holistically investigating the findings of previous SETA research and unveiling the characteristics and factors that influence the effectiveness of SETA. A total of 80 articles, published between 1998 and 2020, were included to conduct an in-depth systematic review on SETA.

Social media services become a hotbed for rumors and lies during health crises such as the COVID-19 pandemic. While previous literature studies the negative role that social media users play in spreading rumors during crises, this study explores how users can be motivated to combat COVID-19 rumors. We build a research model that is based on the Awareness-Motivation-Capability framework and empirically test our model using data collected from 279 Chinese social media users. Our results show that rumor combating behavior, defined as users’ actions to discourage others from sharing information from unverified sources, is influenced directly by the personal norm, altruism, social ties, and knowledge, and indirectly by perceived severity and perceived vulnerability through the personal norm. Our study highlights the importance of prosocial behavior such as rumor combating on social media during health crises.

In this study we examine the contingent effects of two cultural values, indulgence and individualism, on the relationships between perceived benefits (utilitarian value, hedonic value, and relational capital), affective commitment, and continuance intention in social virtual worlds. We test our theoretical model in multi-group analyses using SmartPLS 2.0, based on a sample of 414 Second Life users from the U.S.A., Great Britain, and numerous other countries. By comparing the high- vs the low-indulgence subsamples, we find that indulgence weakens the effect of utilitarian value, but strengthens the effect of hedonic value, on affective commitment. Furthermore, compared with low-individualism users, the users with high-individualism showed a weaker effect of relational capital on affective commitment, as well as a weaker effect of affective commitment on continuance intention. The theoretical, empirical, and practical implications of these findings are also discussed.