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The purpose of this paper is to introduce the background and significance of criminalization of self-money laundering in China and to analyze its application in judicial practice.

This paper introduces the international and domestic background of the criminalization of self-money laundering, demonstrates the theoretical basis and practical significance of the changes of Article 191 in the 11th amendment to the criminal law and puts forward solutions to some controversial issues in judicial practice.

The 11th amendment to the Criminal Law, which came into force in March 2021, criminalizes self-money laundering under Article 191 and has brought an impact on the traditional theory of criminal law. There are no similar amendments to the other two crimes, namely, Article 312 and Article 349, which lead to some confusion in the judicial practice, especially in the understanding of the number of crimes, and the meaning of proceeds of crime. This paper puts forward solutions to some controversial issues in judicial practice.

This paper introduces the criminalization of self-money laundering in the 11th amendment to the criminal law in China, presents a comprehensive description of and comments on the difference between the Article 191 and its similar articles, namely, Article 312 and Article 349, to make a well understanding in the application of law in judicial practice, which would be beneficial to theoretical researchers and judicial professionals.

This paper aims to explore the significance of videoconferencing in blended learning, using the technology acceptance model to investigate students’ perceptions and its impact on course engagement, student satisfaction and future technology use intention. In addition, it examines the role of teacher support in fostering interactive virtual learning experiences.

This study focuses on a cohort of international students regarding blended courses amid the COVID-19 pandemic when the conventional face-to-face components were substituted with virtual classrooms through videoconferencing. It aims to investigate how to facilitate connectivity between Southeast Asian students and their professors located in a Southern state in the USA.

This study reveals that the perceived usefulness of videoconferencing predicts future intention to use, emphasizing the vital role of teacher support in engaging students in virtual classrooms and contributing to student satisfaction.

The small sample of international students in blended courses with an American university during the COVID-19 pandemic may limit the generalization of the findings.

Videoconferencing can be a valuable tool to enhance connectedness in digital learning post pandemic.

Videoconferencing in blended learning can bridge geographical barriers and provide access to diverse learners who might otherwise have limited educational opportunities.

This study supports the integration of videoconferencing as a mechanism for providing high-quality digital learning experiences.

The purpose of this paper is to provide the foundational economics, both in theory and practice, to describe the current competitive and operational market dynamics of the blood service industry in the United States of America.

The paper applies the dominant firm-competitive fringe model to describe how pricing is determined within the blood service industry, with particular focus on the nonprofit business model. The research also describes the role of government as one of the major determinants of pricing through regulatory demands.

The longstanding, free-market based economic foundations of the blood service industry have proven to be adequate in meeting the blood needs of the United States (US). Though there are clear market inefficiencies associated with the dominant firm model, none of the proposed solutions target the contractual and resulting pricing inefficiencies that persist because of the market structure.

In order to add value to the blood industry professionals, it is imperative to provide the foundational economics driving the current macro-level blood industry of the US.

This study evaluates the evolution from traditional to nontraditional financial intermediation (NTFI) in Chinese commercial banks from 2006 to 2021, analysing its impact on bank performance and risk.

Accounting measures are used to construct granular activity data, and factor analysis is employed to develop a financial intermediation evolution (FIE) index. The fully modified OLS (FMOLs) estimator is used for nonstationary data analysis, and difference-in-differences (DID) analysis is used for robustness check.

Chinese banks exhibit unique evolution in financial intermediation compared to developed economies, with greater inter-bank variations over time than intra-bank differences. From 2006 to 2017, three paths were identified: Investment, Fee and Repo models, with a fourth path (the Investment2 model) emerging post-2017. Only the Repo model enhances bank returns (ROA & ROE), while shifts towards NTFI increase liquidity and leverage risks across all models. The evolution of bank business models and their consequent implications on performance and risks are influenced by regulatory objectives and banks’ endeavours in regulatory arbitrage.

Major stakeholders in the banking sector can gain a better understanding of financial intermediation and associated market behaviour, performance and risks, with significant implications for banking regulations and crisis management.

This study provides the first comprehensive overview of the evolution of Chinese commercial banks’ financial intermediation activities over an extended period, uncovering the unique characteristics distinct from the developed economies.

The paper aims to provide an overview of the state-of-the-art of the event industry in the context of digitalization to understand how digital technologies change the event industry and what research topics are the most promising for further exploration.

A bibliometric analysis of the existing body of knowledge on the topic was conducted and the results were visualized using CiteSpace 5.8.R3. A total of 1999 articles and proceeding papers from the Web of Science Core Collection published between 2007 and 2022 were selected for our analysis. Based on the articles and proceeding papers in the Web of Science Core Collection database, we selected a set of publications for our analysis. The data were obtained through specific keywords related to our research topic. The method involves a process of three main stages: data collection, data processing and the bibliometric analysis.

Co-citation analysis indicated that issues of crowd management and tracking human mobility during mass events are important for the event industry and that technologies such as the Internet of Things, special-purpose mobile applications and systems make it easier for an event organizer to handle the issues. The findings demonstrated a weak scientific collaboration between countries in the topic studied and shift of research hotspots to study of satisfaction, motivation and behavioral patterns of events attendees. Based on this analysis, three directions for future research were revealed.

The results should be interpreted in light of our sample, because the analysis was conducted within our sample which has boundaries. We collected data from all categories in the Web of Science Core Collection database, but we considered only articles and proceeding papers as opposed to all possible types of scientific publications and other databases. In the study, we focused on detecting the state-of-the-art of the event industry in the context of digitalization overall. More specific topics that could be analyzed remain, for example, the dependency of digital technologies from the event type, etc.

This study reflects the state-of-the-art of the event industry in the context of digitalization. It provides researchers with key developmental trends in the event industry, which assists them in more deeply understanding the evolution of research hotspots in the field during last 15 years and defining future research agenda. The paper presents an overview of digital technologies used in various types of events and describes the issues and results related to the implementing digital technologies. The results obtained were extremely important, as they can be used by event managers and organizers to enhance customers’ experience during the events.

This study reflects the state-of-the-art of the event industry in the context of digitalization. This is the first attempt to make an overall analysis of scientific papers published in the Web of Science Core Collection on the topic studied without excluding any categories. The search procedure is transparent, and the results can be reproduced in other search fields using the same approach. Based on this analysis, three directions for future research were revealed including technological aspects of online event-based social networks, issues of crowd management and security at mass events and issues of attendees’ acceptance of novel digital technologies.

This chapter presents three Chinese teachers' narrative accounts about how they live in dilemmatic spaces due to excessive entitlement. Still, the teachers move forward with transformative agency. The thick description of the three teacher participants has been reported elsewhere as the narratives of Lee – a math teacher, Ping – a Chinese language teacher and Wang – a school principal. In this chapter, however, ‘excessive teacher entitlement’ is used as a new lens to assist me in revisiting their stories of living in dilemmatic spaces. Narrative inquiry as a method unpacks the three teachers' life experiences. Although Lee, Ping and Wang encounter different entitlements and various dilemmas, their transformative agency in transitioning from a survival mode to thriving human beings brings out the similarities in their experiences. Using Vygotskian philosophy and cultural-historical activity theory (CHAT), this chapter focuses on the teachers' transformative agency as breaking away from given boundaries in their professional lives and taking up initiatives that confront the tacit excessive entitlement in and around them. Furthermore, transformative agency is promising in that it helps develop new practices in teacher education. Finally, the new understanding emanating by viewing the three subjects' experiences from the angle of excessive entitlement has the potential to inspire teachers in other contexts to become conscious of manifestations of excessive entitlement not only in themselves or others they interact with but also in the macro context we live in. This consciousness also increases the likelihood of the urge to find ways to ameliorate excessive entitlement and to move closer to one's cherished professional values.

Despite the increasing role of the data warehouse as a supportive decision-making tool in today's business world, academic research for measuring its effectiveness has been lacking. This paucity of academic interest stimulated us to evaluate data warehousing effectiveness in the organizational context of Jordanian banks.

This paper develops a theoretical model specific to the data warehouse system domain that builds on the DeLone and McLean model. The model is empirically tested by means of structural equation modelling applying the partial least squares approach and using data collected in a survey questionnaire from 127 respondents at Jordanian banks.

Empirical data analysis supported that data quality, system quality, user satisfaction, individual benefits and organizational benefits have made strong contributions to data warehousing effectiveness in our organizational data context.

The results provide a better understanding of the data warehouse effectiveness and its importance in enabling the Jordanian banks to be competitive.

This study is indeed one of the first empirical attempts to measure data warehouse system effectiveness and the first of its kind in an emerging country such as Jordan.

Feature selection is an essential step in data mining. The core of it is to analyze and quantize the relevancy and redundancy between the features and the classes. In CFR feature selection method, they rarely consider which feature to choose if two or more features have the same value using evaluation criterion. In order to address this problem, the standard deviation is employed to adjust the importance between relevancy and redundancy. Based on this idea, a novel feature selection method named as Feature Selection Based on Weighted Conditional Mutual Information (WCFR) is introduced. Experimental results on ten datasets show that our proposed method has higher classification accuracy.

The study aims to add to the existing literature on food supply chains by specifically taking into the redesigning of the alignment of storage, packaging and distribution practices in the modern complex supply chain. The redesign of the food supply chain’s storage, distribution and packaging is a transformative endeavor ultimately aimed at enhancing efficiency, sustainability and reliability.

In order to identify, classify and prioritize the main challenges, this study conducted an extensive analysis of the literature and experts’ opinions in the areas of academia, information technology and the food supply chain (FSC) using combined compromise solution method (CoCoSo) and complex proportional assessment (COPRAS).

The top three classes of key indicators revealed in this study are dynamic route optimization and on-demand delivery pods (RD4), implementation of active packaging with nanotechnology (RP3) and collaborative last-mile (RD2). The findings reveal that dynamic route optimization and on-demand delivery pods (RD4) and collaborative last-mile (RD2) are maintaining a balance between collaborative delivery networks through route optimization which is a very discussable theme in recent literature.

The research provides fresh insights into how perishable food shelf life parameters and the use of distribution networks within the short supply chain can be taken into consideration when redesigning the storage, packaging and distribution system for food supply chains.

This study aims to study the mechanisms and conditions of users' intention to continue to use online health platforms from an information technology (IT) affordance perspective.

b This research proposes that a critical affordance effect on an online health platform, users' intention to continue the use of the platform, is affected by five platform affordances via two actualized affordances (i.e. perceived benefits (PBs) and online engagement (OE)). Perceived health threat moderates the effect generated by affordance actualization. A dataset involving 409 users from the “Ping An Health” platform was collected through an online survey and analyzed to validate the research hypotheses.

The data analysis results confirm that the proposed online health platform affordances affect users' PBs and OE, which influence users' intentions to continue using the platform. Perceived threats (perceived vulnerability (PVU) and perceived severity (PSE)) moderate the relationship between PBs and continuance intention (CI) and between OE and CI.

The research provides important recommendations for online health platform designers to develop IT affordances that can support users' needs for healthcare services.

Limited studies investigated why users continue participating in online diagnosis and treatment. This study provides a new perspective to expand the affordance framework by combining technology features and user health behavior. The study also emphasizes the importance of perceived threats in IT use.