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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.

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 paper aims to investigate whether managerial overconfidence has an impact on investment inefficiency beyond its influence on the use of internal financing or whether internal financing behaves as a full intermediary.

The study employed three dependent variables, namely business investment scale, overinvestment and underinvestment, and analyzed data from 282 firms across five different industries listed in 11 Middle East/North Africa (MENA) countries between 2013 and 2019 using regression analysis via least square dummy variable (LSDV).

The findings indicate that while internal financing can provide funding for investment opportunities and address capital shortages, it may also result in overinvestment, particularly in companies led by overconfident managers.

Stakeholders, including shareholders and board of directors, should pay attention to the chief executive officer (CEO)'s behavioral aspects such as overconfidence in decision-making while undertaking new investment projects. Additionally, regulators and policymakers in emerging markets like MENA should re-evaluate the corporate governance framework, devise a corporate governance index and promote boardroom gender diversity as it can significantly reduce risk.

This study adds to the limited research on the impact of managerial overconfidence on investment efficiency in the MENA region. By focusing on this region, which has unique economic, political and social characteristics, the study provides new insights into the role of behavioral biases in investment decision-making in emerging markets.

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.

There is a growing importance of business intelligence systems (BIS) adoption in today’s digital economy age which is characterized by uncertainty and ambiguity considering the magnitude and influence of data-related issues to be solved in contemporary businesses. This study aims to investigate critical success factors that affect business intelligence efficiency based on the DeLone and McLean model in Jordanian banking industry.

A quantitative research method through a questionnaire was used to collect data from actual users who depend on business intelligence tools to make operational and strategic decisions in Jordanian banks. The data obtained were tested using the partial least squares–structural equation modeling approach.

The survey findings attest that system quality, information quality, user quality, user satisfaction and user performance are important factors and contribute to business intelligence efficiency in the Jordanian banking industry.

The findings gained from this work can help policymakers in Jordanian banks to improve the business intelligence success and organizational performance.

To the best of the authors’ knowledge, this study is the first of its kind to propose a theoretical model to assess drivers of BIS efficiency from the Jordanian banks’ perspective.

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.

Prior research on interfirm collaborations has demonstrated that trust and contract are two central governance mechanisms that influence a firm’s knowledge sharing decision and the subsequent effect on performance. However, we know little about how effective these mechanisms are in different market conditions and levels of organizational innovativeness. This study aims to advance the literature on interfirm knowledge sharing by exploring these contingencies and by providing an alternative explanation of the contradictory effects of knowledge sharing on firm performance.

The authors collected 156 firms’ relationships with their suppliers in two batches from 300 firms in the 2017 list of Statistics in the Zhejiang province in China. The authors used unstructured interviews and formal questionnaires to collect data from these firms.

Market turbulence served as a boundary condition for the effect of interfirm trust and formal contracts on knowledge sharing. Both interfirm trust and formal contracts, as governance mechanisms, are effective in raising interfirm knowledge sharing only when the firms operate in high turbulent markets. On the contrary, knowledge sharing negatively affected firm performance when firms exhibit low organizational innovativeness. Moreover, a three-way interaction among market turbulence, organizational innovativeness and knowledge sharing revealed that when market turbulence and organizational innovativeness were both low, interfirm knowledge sharing was detrimental to firm performance.

Based on the results, this study recommends managers consider external (market turbulence) and internal (organizational innovativeness) when firms decide to share knowledge and benefit from such activities.

This study extends prior research on the determinant of knowledge sharing and clarifies the inconsistent findings of knowledge sharing on firm performance. Thus, strategic organizational leaders need to pay attention to when they need to share information with suppliers to best benefit from those collaborations.

The use of gamification might offer a partial solution to the decline in students' motivation and engagement the school system is currently facing. However, there has been a lack of empirical evidence on whether and how gamification may be able to improve learning motivation. Specifically, this study aims at exploring the antecedents and consequences of intrinsic learning motivation and its mediating role in gamification context.

A survey method was used to gather the information from students, and regression analysis was used to examine the relationship between three categories of gamification features (social, achievement and immersion), and intrinsic learning motivation. Moreover, this study further used self-determination theory to clarify how students' psychological needs (relatedness, competence and autonomy) mediate the effects of gamification and learning motivation.

Results showed that social, achievement and immersion features are key aspects that impact students' intrinsic motivation. The psychological needs of students can further enhance these relationships.

Overall, the findings illuminate the unique motivations for learning and reveal design strategies that can be implemented to improve teaching through gamification features.