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Using the analogy of “If you build it, they will come” from the movie Field of Dreams, this study aims to draw on relational signaling and commitment–trust theories to examine the role of different types of trust (cognitive, affective and relational) in the relationship between relational-encounter quality and customer loyalty to service employees and to the organization in the case of an integrated casino resort. The study confirms that building it (trust), they (customers) will come to the casino exhibited in their loyalty to casino hosts and their affiliated casinos.

The study was conducted with very important person (VIP) customers who have a designated VIP host to provide them with personal services at an integrated casino resort in Macau. The questionnaire was distributed to the respondents by VIP hosts using WeChat and Tencent QQ.

The study shows that different types of trust (cognitive, affective and relational) play a significant mediation role in the relationship between relational-encounter quality and the customers’ loyalty to the hosts and their affiliated casinos.

To the best of the authors’ knowledge, this study is the first to investigate the roles of different types of trust (cognitive, affective and relational) in the relational encounter between casino hosts and VIP customers and provides insights into the link between service employees and their firm through the nurturing of the service encounter with the firm’s key accounts.

This study aims to examine the role of Australian casinos in facilitating money laundering and Chinese capital flight.

The reports and transcripts of evidence from government inquiries into money laundering in Australian casinos are integrated with analyses of Asian transnational crime.

Money laundering in Australian casinos is linked to transnational crime and Chinese capital flight. A central finding is that junket operators play a key role in facilitating money laundering. The casinos are particularly exposed to criminal influences in the Chinese very important person gambling market, since they have used junket operators and underground banks, many of whom are closely linked to major Chinese criminal groups from Hong Kong and Macau.

Very little information is available on money laundering in Australian casinos and this research has relied on the government inquiries that have been conducted over the past two years on the subject.

The author’s focus on money laundering in Australian casinos in the context of Asia-Pacific transnational crime is important for Federal and state government regulators grappling with the rapidly changing money laundering issues. The government inquiries recognised that the money laundering was related to transnational crime, but did not have the time and resources to explore the topic. The paper provides state government casino regulators and financial crime regulators with a broader international perspective to anticipate future money laundering and crime pressures facing Australia’s casinos.

Money laundering in Australian casinos has had devastating social implications on the community. My research helps to focus attention on the problems of transnational crime and money laundering.

Little research has examined the linkages between casinos and transnational crime. This study has found that Australian casinos were used to launder the proceeds of illegal drug trafficking and to facilitate Chinese capital flight. While casinos have been forced by damming government inquiries to tighten anti-money laundering controls, it is likely that there will be pressure to relax these controls in the future because of competitive pressure from other casinos in the Asia-Pacific region.

In this age of extremely well-developed social media, it is necessary to detect any change in the corporate image of an enterprise immediately so as to take quick action to avoid the wide spread of a negative image. However, existing survey-based corporate image evaluation methods are costly, slow and static, and the results may quickly become outdated. User comments, news reports and we-media articles on the internet offer varied channels for enterprises to obtain public evaluations and feedback. The purpose of this study is to effectively use online information to timely and accurately measure enterprises’ corporate images.

A new corporate image evaluation method was built by first using a literature review to establish a corporate image evaluation index system. Next, an automatic text analysis of online public information was performed through a topic classification and sentiment analysis algorithm based on the dictionary. The accuracy of the topic classification and sentiment analysis algorithm is then calculated. Finally, three internet enterprises were chosen as cases, and their corporate image was evaluated.

The results show that the author’s corporate image evaluation method is effective.

First, in this study, a new corporate image evaluation index system is constructed. Second, a new corporate image evaluation method based on text mining is proposed that can support data-driven decision-making for managers with real-time corporate image evaluation results. Finally, this study improves the understanding of corporate image by generating business intelligence through online information. The findings provide researchers with specific and detailed suggestions that focus on the corporate image management of emerging internet enterprises.

This study aims to examine the problems of the concession system that Macao has long-term adopted to regulate its gaming industry and discuss alternatives.

Theoretical reflection was used to provide qualitatively different insights about governmental supervision of the gaming industry.

Two options for reform are proposed: (1) replace the concession system with a licensing system that does not restrict the number of concessionaires or the period of concession or (2) adopt a modified form of the concession system that changes the number of concessionaires, period of concessions and methods for selecting concessionaires.

This study’s results have implications for the Macao government and other gaming jurisdictions in Asia.

This study provides a comprehensive examination of the concession system for governmental supervision of the gaming industry.

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.

Most research on sustainable tourism has been devoted to understanding the determinants of tourists' sustainable behavior on a unidimensional construct, overlooking the importance of behavioral costs in sustainable travel behavior. To shed light on this issue, this study aims to quantitatively differentiate sustainable travel behaviors based on behavioral costs and to examine the impact of psychological factors on both low-cost and high-cost sustainable travel behaviors.

A survey of 470 tourists used Rasch analysis to measure the behavioral costs associated with sustainable travel behavior and partial least squares structural equation modeling (PLS-SEM) to test hypotheses.

The results indicate that the value-identity-personal norm model explains more variance in low-cost sustainable travel behaviors than in high-cost sustainable travel behaviors. This supports the central tenet of the low-cost hypothesis and also suggests that values and self-identity factors have a stronger influence on low-cost sustainable travel behavior. However, personal norms have a stronger influence on high-cost behaviors.

This research highlights the importance for tourism and destination managers to distinguish between different categories of sustainable travel behavior and to analyze their determinants separately. This allows for the development of tailored messages for specific groups of tourists based on the psychological drivers of sustainable travel behavior.

This study provides insights into the determinants of sustainable travel behaviors with different behavioral costs and highlights the importance of analyzing different categories of behaviors separately.

Assistive technology (AT) is like the eyes of visually impaired users (VIUs) and plays a vital role in making them independent in accessing a wide range of library resources and services. It is a revolutionary way to improve the academic performance of VIUs and amalgamate them into mainstream library services. This paper aims to explore the familiarity and understanding of AT among VIUs in accessing library resources and services of three special institutes of Haryana state, India.

The study used a survey method, and data were collected using an online questionnaire. The questionnaire consisted of closed-ended questions focused on participants’ familiarity, understanding and key barriers VIUs face in accessing existing AT facilities. Scope of the study is to include three special institutions’ libraries serving to VIUs in Haryana (India). Purposive sampling technique was adopted for data collection. The data are tabulated and analyzed with descriptive statistics methods using Statistical Package for Social Sciences (SPSS) software version 20.0, and the results are presented in tables, diagrams and graphs.

The study found that most of the VIUs are highly familiar and reported an expert understanding of Daisy player and digital voice recorder, whereas refreshable Braille display, Braille printer/embosser and scanning and reading devices are least familiar with and reported poor understanding. In the software category, it is noted that VIUs are more familiar with screen reading and speech synthesizer software than other software, and participants confirmed a good understanding of the said software.

The literature review revealed that the majority of library staff in the institutions being investigated had limited knowledge about the availability of the most suitable AT tools. So, the study will be beneficial for them to select the most popular AT tools for their libraries to amalgamate VIUs. The study also highlights some barriers VIUs face in using the existing AT facility of their respective libraries that may be helpful for librarians to understand the root cause of low utilization of available AT tools and how to address this problem effectively. The study can also help policymakers in formulating AT policies for academic libraries. Findings will also help to develop a cost-effective AT workstation suiting the needs of VIUs.

This study will provide an idea to library professionals about which AT hardware and software are more popular among VIUs and useful for developing/improving cutting-edge AT facilities in their libraries to amalgamate VIUs in the mainstream of the library.

This study aimed to investigate the effect of citizens' uncivil behaviours on the turnover intention of public service personnel. It tested the moderated mediation role of job insecurity and workplace incivility. The conservation of resource (COR) theory was employed to explain the public service personnel's reactions to resource loss threats and the desire to conserve the remaining resources.

A longitudinal quantitative study design was used with a moderated mediation regression technique. Data were collected from 235 full-time public service personnel from five Indonesian public service organizations. The organizations included higher education, regional government institutions, and health, tourism, and transportation departments. All measures were valid and reliable for study purposes.

The citizen incivility's effect on turnover intention was mediated by job insecurity and moderated by workplace incivility. Citizen incivility positively influenced job insecurity only under high workplace incivility. Therefore, citizens' uncivil behaviours could not increase public service personnel's job insecurity and turnover intention without high workplace incivility.

This study contributes to the literature on citizens' incivility as a source of social stressors in Indonesian public organizations. The findings showed that citizens' hostile behaviours impact public employees' job insecurity only through workplace incivility.

This study aims to synthesize the existing serious games designed to promote mental health in adolescents with chronic illnesses.

This study conducted a review following the guidelines of Joanna Briggs Institute and Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. Searches were conducted in databases PubMed, Scopus, Web of Science, Cochrane Library, cumulative index to nursing and allied health literature, PsycINFO, China national knowledge infrastructure Wanfang, VIP Database for Chinese Technical Periodicals and SinoMed from inception to February 12, 2023.

A total of 14 studies (describing 14 serious games) for improving the mental health of adolescents with chronic diseases were included. Of all the included games, 12 were not described as adopting any theoretical framework or model. The main diseases applicable to serious games are cancer, type 1 diabetes and autism spectrum disorder. For interventional studies, more than half of the study types were feasibility or pilot trials. Furthermore, the dosage of serious games also differs in each experiment. For the game elements, most game elements were in the category “reward and punishment features” (n = 50) and last was “social features” (n = 4).

Adolescence is a critical period in a person’s physical and mental development throughout life. Diagnosed with chronic diseases during this period will cause great trauma to the adolescents and their families. Serious game interventions have been developed and applied to promote the psychological health field of healthy adolescents. To the best of the authors’ knowledge, this study is the first to scope review the serious game of promoting mental health in the population of adolescents with chronically ill. At the same time, the current study also extracted and qualitatively analyzed the elements of the serious game.

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs).

This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms.

The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age.

The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.