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This study examines employees' metacognitive cultural intelligence as a moderator in the relationship between leader-member exchange (LMX) and employees' subjective well-being.

We tested the conceptual model using regression analysis from a sample of 462 migrant workers in Australia.

The results demonstrated that employees' metacognitive cultural intelligence moderated the relationship between LMX and employees' subjective well-being in such a way that the effect was stronger among those employees with lower levels of metacognitive cultural intelligence.

The cross-sectional design, with self-reporting at one point in time, could affect a causal relationship among variables, although each relationship was built on strong theoretical perspectives. However, prior research emphasizes that a single source is not considered to be an issue when interactions are examined.

One way to improve metacognitive cultural intelligence for global leadership effectiveness could be through the introduction of diversity and cross-cultural training, such as didactic programs provided either in-house or by external institutions.

Drawing on Conservation of Resources theory, this paper contributes to the literature by demonstrating that employees' metacognitive cultural intelligence is a boundary condition that alters the strengths of the LMX–subjective well-being relationship.

The purpose of this paper is to examine the mediating roles of procedural justice and distributive justice in the organizational inclusion-affective well-being relationship.

Data were collected from 253 Australian employees using an online survey. The study used confirmatory factor analysis and structural equation modeling to analyze the data.

Organizational inclusion was positively related to both distributive justice and procedural justice. The relationship between organizational inclusion and affective well-being was mediated by both distributive justice and procedural justice.

The cross-sectional design may have limited the empirical inferences; however, the proposed model was based on robust theoretical contentions, thus mitigating the limitation of the design. Data were collected from a single organization, thus limiting generalizability.

Implementation of inclusion training activities at organizational, group, and individual levels is important to enhance perceptions of organizational inclusion and subsequently improve employee affective well-being.

Based on the group engagement model and group-value model of justice, this paper adds to the literature by demonstrating two mediating mechanisms driving the organizational inclusion-affective well-being relationship.

The purpose of this paper is to examine the voice of Chinese and Vietnamese international students through studying the similarities and differences in their learning experiences and the reasons underlying their experience.

In total, 57 Chinese and Vietnamese international students participated in focus groups and interviews regarding their experiences of higher education and their suggestions for improvement.

The findings show that Chinese and Vietnamese students had varying levels of challenges and different progress in the adaptation process and that Chinese students were more vocal and less satisfied with their experience of higher education than Vietnamese students. This is due to the mismatch in their expectation and the actual experience and the cultural influence.

The sample size is relatively small. This study only looked at Vietnamese and Chinese students in one university, which might have limitations in relation to subjectivity and bias.

The findings provide useful implications for educators, institutional leaders and support staff to improve facilities, teaching quality and service to students.

In the current era of internationalisation, commercialisation and mobility in institutions around the world, this study advances current research and provides timely insight into the experiential differences of the Chinese and Vietnamese student experience and their voice.

This article examines a climate for inclusion through the lens of organizational justice. We argue that open interpersonal contacts, the fair treatment of gender-diverse employees, and inclusive decision-making processes in the promotion of equitable employment practices are foundational for shaping the climate for inclusion.

Qualitative data were collected from multi sources: focus groups with female employees (N = 20) and interviews with male and female managers (N = 8).

In examining the similarities and differences between employees' and managers' perspectives, the findings revealed that, in all dimensions of a climate for inclusion, employees had more negative justice concerns than did managers, while managers and employees had similar views on some aspects of employment practices.

This study was conducted within one university setting; therefore, the findings may not be applicable to other industries.

This study offers managerial implications that can be developed to promote the climate for inclusion in organizations.

In order to create a fair and equitable workplace, all employees should be able to actively participate in decision-making processes and share suggestions for contextualized and fair employment practices.

Drawing the group-value model, this study advocates the importance of justice-based organizational practices in building an inclusive organization.

The purpose of this paper is to examine Vietnamese international students’ experiences with the campus learning environment by analysing differences in staff and student perceptions.

Two focus groups (n=12) and ten in-depth interviews were conducted with Vietnamese students and four in-depth interviews with the university staff (totalling 26).

The findings show a greater divergence of views between students and staff on teaching and learning than English language proficiency and student support services. These key differences were influenced by students’ prior expectations of their learning environment in Vietnam.

This study is limited to one group of international students and to one Australian university.

The lecturers/administrators must have a good understanding of international students’ learning backgrounds and expectations to enhance their positive experience; appropriate teaching skills and practices are essential for teachers to meet the current needs of students. More effective training for international students to understand the multicultural nature of Australia is also essential.

This study contributes to the literature by identifying the experience of Vietnamese international students in a western university, which is, a relatively under-researched nationality compared to other Asian nationalities such as Chinese and Indian.

The purpose of this paper is to examine the relationship between employee perceived well-being and the four dimensions of organisational justice, namely, procedural, distributive, interpersonal and informational justice, and how dimensions of organisational justice affect employee well-being in the Australian tourism industry.

The sample is selected from employees who work in the tourism industry in Australia, and the survey was conducted online (n=121). Factor analysis is used to identify key items related to perceived organisational justice, followed by multiple regression analysis to assess the magnitude and strength of impacts of different dimensions of organisational justice on employee well-being.

The results support the established view that organisational justice is associated with employee well-being. Specifically, informational justice has the strongest influence on tourism employee well-being, followed by procedural justice, interpersonal justice and distributive justice.

The authors acknowledge key limitations in the study such as a relatively small sample size and gender imbalance in the sample.

The authors provide strategies for managers to increase levels of organisational justice in the tourism sector such as workgroup interactions, a consultation process, team culture and social support.

This study builds on limited literature in the area of inclusion and organisational justice in tourism organisations. The study provides a new path to effective organisational management within the context of a diverse workforce, adding to the current debate on which dimensions of organisational justice contribute to improving employee well-being.

This paper aims to empirically examine the relationship between stock liquidity and asset pricing, using a new price impact ratio adjusted for free float as the approximation of liquidity. The free-float-adjusted ratio is free from size bias and encapsulates the impact of trading frequency. It is more comprehensive than alternative price impact ratios because it incorporates the shares available to the public for trading.

The authors are using univariate and multivariate econometric methods to test the significance of a newly created price impact ratio. The authors are using secondary data and asset pricing models in their analysis. The authors use a data sample of all US listed companies over the period of 1997–2017.

The authors provide evidence that the free-float-adjusted price impact ratio is superior to all price impact ratios used in the previous academic literature. The authors also discover that their findings are robust to the financial crises between 2007 and 2009.

This is the first comprehensive study on a newly established price impact ratio. The authors show the significance of this ratio and explain why it is superior to all previous price impact ratios, established in prior research.

The purpose of this study is to investigate the interaction effect of commercial loans in between trade Credit, retain earning, and entrepreneurial small and medium enterprises (SMEs) performance.

In this research, the cross-sectional research design was used, and data were collected from 362 SMEs located in Pakistan by using a questionnaire. Correlation and regression analysis was adopted to establish the interaction effect of commercial loans in between trade credits, retain earning and entrepreneurial SMEs performance.

The results demonstrated that commercial loans, trade credit and retain earning have a positive relationship with entrepreneurial SMEs performance. The findings also confirmed the interaction effect of commercial loans in between retain earnings, trade credit and entrepreneurial SMEs performance.

The study examined the association and interaction effect of commercial loans in between retain earnings, trade credit and SMEs performance in the emerging state (Pakistan). So, this is the first time to study the relationship between these variables, which highly contributes to entrepreneurial SMEs literature.

Purpose: This chapter aims to examine machine learning (ML) models for predicting credit card fraud (CCF).

Need for the study: With the advance of technology, the world is increasingly relying on credit cards rather than cash in daily life. This creates a slew of new opportunities for fraudulent individuals to abuse these cards. As of December 2020, global card losses reached $28.65billion, up 2.9% from $27.85 billion in 2018, according to the Nilson 2019 research. To safeguard the safety of credit card users, the credit card issuer should include a service that protects customers from potential risks. CCF has become a severe threat as internet buying has grown. To this goal, various studies in the field of automatic and real-time fraud detection are required. Due to their advantageous properties, the most recent ones employ a variety of ML algorithms and techniques to construct a well-fitting model to detect fraudulent transactions. When it comes to recognising credit card risk is huge and high-dimensional data, feature selection (FS) is critical for improving classification accuracy and fraud detection.

Methodology/design/approach: The objectives of this chapter are to construct a new model for credit card fraud detection (CCFD) based on principal component analysis (PCA) for FS and using supervised ML techniques such as K-nearest neighbour (KNN), ridge classifier, gradient boosting, quadratic discriminant analysis, AdaBoost, and random forest for classification of fraudulent and legitimate transactions. When compared to earlier experiments, the suggested approach demonstrates a high capacity for detecting fraudulent transactions. To be more precise, our model’s resilience is constructed by integrating the power of PCA for determining the most useful predictive features. The experimental analysis was performed on German credit card and Taiwan credit card data sets.

Findings: The experimental findings revealed that the KNN achieved an accuracy of 96.29%, recall of 100%, and precision of 96.29%, which is the best performing model on the German data set. While the ridge classifier was the best performing model on Taiwan Credit data with an accuracy of 81.75%, recall of 34.89, and precision of 66.61%.

Practical implications: The poor performance of the models on the Taiwan data revealed that it is an imbalanced credit card data set. The comparison of our proposed models with state-of-the-art credit card ML models showed that our results were competitive.

The purpose of this paper is to provide novel insights into arts consumption behaviour and patterns of communication displayed by arts consumers using Peterson’s theoretical framework, and to identify differences in the use of communication channels across arts segments.

The authors conducted an a priori market segmentation study, with two variables serving as segmentation criteria, namely, the frequency of and the variety of arts events attended. The authors tested for differences in communication patterns.

Four segments were created: low-frequency univores, low-frequency multivores, high-frequency multivores and high-frequency omnivores. They differ in their communication patterns and online behaviours, including their online activities before and after attending arts events. Printed materials and e-mail newsletters were the most effective communication channel for raising awareness of all arts consumers.

Understanding these communication patterns can help arts marketers to increase the attendance of low-frequency segments and broaden the variety of arts events attended by the univore and multivore segments. The generalisability of the findings is limited as the survey was conducted among online Australian arts consumers only.

The paper adds the dimension of arts consumption frequency to the taxonomy of omnivores and univores proposed by Peterson, which is based on the variety of consumed arts only. The paper contributes to communication and arts marketing literature by identifying key differences in communication patterns across segments of arts consumers and the most promising communication channels to engage them.