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The frequency and sophistication of cybercrimes are increasing. These cybercrimes are impacting government and private organizations as well as individuals. One of the countermeasures is to improve the cyber hygiene of the end-users. Serious games or game-based learning has emerged as a promising approach for implementing security education, training and awareness program. In this paper, the researchers propose a tabletop card game called Cyber Suraksha to increase threat awareness and motivate users to adopt recommended security controls for smartphone users. Cyber Suraksha provides an active learning environment for the players. This paper aims to provide the details of the design and evaluation of the game using a between-subjects design.

The researchers have used constructive learning theory and the Fogg behaviour model (FBM) to design a tabletop card game called Cyber Suraksha. The researchers evaluated the game using a between-subjects design. The participants' responses in the control and intervention groups were collected using the risk behaviour diagnosis scale. Pearson’s Chi-Square test with a 5% significance level was used to test the hypotheses.

The results indicate that the game is enjoyable and fun. Cyber Suraksha game effectively motivates users to adopt the recommended security control for the targeted behaviour. The results indicate that the participants in the intervention group are 2.65 times more likely to adopt recommended behaviour. The findings of this study provide evidence for the effectiveness of hope and fear appeals in improving cybersecurity awareness.

The generalizability of the study is limited because the sample size is small compared to the total number of smartphone users in India, and only students from computer/IT UG programs in India are used as participants in this study.

This study uses hope and a fear appeal to design an effective serious game. It also demonstrates using the FBM and constructive learning principles for effective serious game design. Cyber Suraksha is effective for the student group and may be tested with other age groups.

To the researchers' knowledge, there are no serious games for cybersecurity awareness focusing on the threats faced by smartphone users based on FBM and constructive learning theory. This research used hope along with a fear appeal to motivate smartphone users to adopt recommended security controls.

This paper examines the changes in Macao's gaming public policy following the 2022 revision of the gaming law. The revision introduces more regulations on the gaming industry and highlights the gaming industry's contribution to economic diversification, anti-money laundering and national security. The paper analyzes the economic, cultural and political factors that motivated these changes and evaluates the effectiveness of the new gaming public policy.

This paper compares the different versions of Macao's gaming laws and the gaming laws of Nevada and New Jersey, using a qualitative approach to interpret the meanings behind the law text.

The paper reveals that Macao's gaming public policy has changed significantly. The revised policy focuses more on economic diversification than the growth of the gaming industry and imposes more responsibilities on the gaming operators. It predicts that Macao's gaming industry will face more difficulties in increasing its market share in the next decade.

The findings of this paper can help the Macao government assess its gaming public policy and other governments learn from the complex situation when developing their public policies.

The findings of this paper can enhance the understanding of Macao's gaming laws and the reality of Macao's gaming industry.

This paper is the first in academia to address Macao's new public policy toward gaming.

Set-based design (SBD) is a lean tool widely adopted for improving design processes and providing value maximization to clients. The purpose of this paper is to present the development and testing of a lean simulation game that incorporated point-based and SBD principles. The objective of the game was to enhance learning of lean design management among construction students.

After a thorough and comprehensive literature review consisting of secondary data in journal papers, books, thesis references and primary data in the form of interviews with lean practitioners, the simulation game prototype was developed. The testing of the game was carried out with a study group. Data were collected during the gameplay with the help of a questionnaire survey on a confidence scale and Likert scale and assessed using the Wilcoxon signed-rank test, histogram, one-sample t-test and false discovery rate (Benjamini–Hochberg) correction method.

The data collected both pre- and post-simulation showed an increase in average confidence in understanding from 3.33 to 3.89, a 16.7% rise. The data was further interpreted by using Wilcoxon signed-rank test, indicating that the post-simulation learning experience was significantly better than the pre-simulation one. Promising positive results were obtained for the questions on game design, engagement and understanding of point-based design and SBD concepts.

The simulation game helps bridge the gap between knowledge building and real-life by effectively imitating the process. The game facilitates a dynamic and critical approach toward developing new educational simulation games and their successful incorporation in propagating lean principles in the construction industry.

While the Olympic Games are always under the spotlight, the Paralympic Games are somehow ignored. This paper aims to invite the general public to think about the para-athletes and the differential treatments they received.

Among the participating countries, many of them were unable to win a single Olympic or Paralympic medal. When the dependent variable is left-censored, ordinary least squares regression is asymptotically biased downwards. In the literature, researchers typically employ the maximum likelihood Tobit model to take care of the censoring problem. However, some researchers argue that the Hurdle model has an advantage over the Tobit model in identifying the determinants of winning Olympic medals. Following their wisdom, this paper employs both the Tobit and Hurdle models in analysis.

The empirical evidence gathered in this paper suggests that population size, host status and average years of schooling are the big three socio-economic determinants when it comes to winning medals at the Paralympic Games and Olympic Games. The findings support the hypothesis that sports talent is randomly distributed and a large country has a higher chance to have talented athletes or para-athletes winning the Olympic medals. The strong host advantage also showed up in the following Paralympics but was not so strong at the next Olympics.

This paper not only examines the relationship between various social, economic and political factors in determining the success of a nation in the Paralympic Games but also attempts to identify possible non-traditional determinants.

Virtual goods consumption has risen dramatically in recent years. Recognizing the benefits of virtual goods in generating revenue for online game companies, marketers strive to understand the motives behind virtual goods purchases. We investigated the direct and indirect effects of functional, emotional, and social values through player satisfaction on purchase intention toward virtual goods among online players.

In total, we surveyed 332 online game players utilizing a structured questionnaire. We employed a multi-analytic approach combining partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to examine the proposed relationships.

The findings show that all dimensions of value and player satisfaction significantly affect the intention to acquire virtual goods. However, social value does not exert a significant effect on player satisfaction. Moreover, we confirmed that player satisfaction mediates the relationships between functional value, emotional value, and purchase intention. Furthermore, NCA results indicated that all predictors in the model are necessary conditions of purchase intention for virtual goods.

These findings contribute to an enhanced understanding of purchase intentions among online game players from a symmetric (PLS-SEM) and asymmetric (NCA) perspective by proposing a multi-analytic approach.

We applied a true-experimental randomized control posttest design to collect and analyze quantitative and qualitative data to compare the effects of the AR and traditional board games on students’ SDG learning achievements.

We applied a true-experimental randomized control posttest design to collect and analyze quantitative and qualitative data to compare the effects of AR and traditional board games on students' SDG learning achievements.

Our analysis of the quantitative and qualitative data revealed that the effects of AR and traditional board games on the students' cognitive outcomes differed significantly, indicating the importance of providing a situated learning environment in SDG education. Moreover, the students perceived that the incorporation of the AR game into SDG learning improved their learning effectiveness – including both cognitive and affective dimensions – thus confirming its educational value and potential in SDG learning.

To the best of our knowledge, this is the first study to explore the effectiveness of different learning tools (AR and traditional board games) and to evaluate the importance of providing a situated learning environment through a true-experimental randomized control posttest design.

This paper aims to propose the mechanism of cross-network effect embedded, which can help cross-border e-commerce (CBEC) platforms strengthen cooperative relationships with sellers more equitably and effectively by using the network structural characteristics of the platforms themselves.

A two-stage evolutionary game model has been used to confirm the influence factors. The mathematical derivation of evolutionary game analysis is combined with the simulation method to examine the role of cross-network effect in cooperation. The evolutionary game model based on the cross-network effect is proposed to achieve better adaptability to the study of cooperation strategy from the two-sided market perspective.

The evolutionary game model captures the interactions of cross-network effect and the influence factors from a dynamic perspective. The cross-network effect has a certain substitution on the revenue-sharing rate of SMEs. CBEC platforms can enhance the connection between consumers and the website by improving the level of construction, which is a good way to attract sellers more cost-effectively and efficiently.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specificCBEC platforms.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specific CBEC platforms.

Investigations that study cooperation strategy from the cross-network effect perspective in CBEC are limited. The research figured out which influence factors are affected by the cross-network effect in cooperation. A two-stage evolutionary game model was proposed to explain the interaction of the factors. The evolutionary game analysis with a simulation method was combined to highlight the role of cross-network effect on cooperation strategy to give a deeper investigation into the sustainable cooperation ofCBEC.

This paper considers the brand awareness and anchor influence on consumers' live-streaming purchases, and explores the existence of “free-riding” behavior, the comparison of brand promotion effect and active live-streaming effect and the optimal strategic combination between the brand and the anchor. The authors investigate the evolutionary stabilization strategies of the bounded rational brand and anchor, and explore the conditions for the realization of the optimal strategy. Management suggestions for the development of live streaming commerce can be provided in this paper.

Two significant models are used in this paper. The Stackelberg model is used to study the “free-riding” behavior, the comparison of brand promotion effect and active live-streaming effect and the optimal strategic combination between the brand and the anchor. Using evolutionary game theory to get the evolutionary stable equilibrium strategies and analyze the binary equilibrium strategy of the bounded rational brand and anchor. In addition, relevant simulation analysis is conducted using realistic data to verify the conclusions and for further analysis, making the conclusions of the paper have realistic significance.

The study shows that “free-riding” behavior exists and the positive effect of brand promotion is greater than that of active live-streaming. The brand and the anchor take active actions as the optimal strategy. As the sensitivity coefficient of consumers to live-streaming effort and the sensitivity coefficient of consumers to brand promotion change, various evolutionary stabilization strategies will appear. When the two sensitivity coefficients are below a certain threshold, the game sides will reach the optimal strategic combination to obtain the maximum benefits. When they rise above this threshold, it is counterproductive instead. The system achieves the optimal strategic combination when the difference factor between effort cost and promotion cost must be higher than a certain value, but when it takes the smallest possible value, the game sides tend to take active actions. This study can provide management suggestions for the sustainable development of the live-streaming model.

This paper shows that under certain conditions, the brand and the anchor can evolve into the optimal strategy to maximize the profits of both parties, which has certain practical significance for the prosperous development of live streaming commerce. In future research, the authors will consider the regulatory role of the government and construct a more realistic game model to provide constructive suggestions for the sustainable prosperity of live streaming commerce. Meanwhile, there are also games between multiple brands and multiple anchors, as well as games among brands-anchors-the live streaming platforms, and the authors will conduct more in-depth research in the future.

So far, the co-impact of anchor influence and brand awareness has not been considered simultaneously in published articles. This paper provides theoretical guidance for the behavioral choices of the brand and the anchor under the live streaming commerce, which is conducive to the prosperous development of live streaming commerce.

The rampant toxic gaming environment in most major esports games has become a challenge in maintaining gamers’ loyalty to the game. Guided by the theory of stress and coping, this study aims to investigate how and under what condition esports gamers’ perceived risk of toxicity may affect game brand loyalty through the moderated mediation effects of game brand identification, self-efficacy, and perceived support from game brand.

The moderated mediation model was tested using the conditional process analysis (N = 311). The moderating effects of game brand identification on the mediated processes were tested in the model.

The authors found that self-efficacy and perceived support from game brand were critical mediators between the perceived risk of toxicity and game brand loyalty. However, these mediating effects varied depending on the level of game brand identification.

This study took the step forward by theorizing and empirically examining the relationship between perceived risk of toxicity and consumption outcome by considering both internal and social coping resources and game brand identification, among Generation Z and Millennial gamers in the esports context.

Mobile apps usually have a short lifespan, and this prevents the majority from surviving long enough to generate revenue for their developers. To address this issue, this study aims to recognize the role of engagement and immersion and develops a cognitive-affective theoretical framework to associate these factors with the lifespan of an app. Moreover, the authors focus on gaming apps because of their dominance on mobile platforms, and because a few of them become lucrative while the majority perish within a few weeks.

This study uses a longitudinal survey-based approach to collect data on one of the popular gaming apps (Pokémon Go), which received international attention. The design focuses on identifying factors that extend the lifespan of the app and affects users’ decision to continue or stop using the app over time. The authors use the survival analysis and structural equation modeling to analyze the theoretical framework.

The authors find the centrality of the users’ experience of immersion to extend the mobile app lifespan. Engagement influences immersion and immersion predicts users’ decision to continue or stop using the app. Users’ experience of immersion increases the probability of the apps’ survival by 12%.

To the best of the authors’ knowledge, this is the only study that proposes a theoretical framework, meticulously investigates the factors that can lead to survival of a mobile app and uses longitudinal data for the empirical analysis.