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Digital learning systems are crucial for education and data collected can analyse students learning performances to improve support. The purpose of this study is to design and build an asynchronous hardware and software system that can store data on a local device until able to share. It was developed for staff and students at university who are using the limited internet access in areas such as remote Northern Territory. This system can asynchronously link the users’ devices and the central server at the university using unstable internet.

A Learning Box has been build based on minicomputer and a web learning management system (LMS). This study presents different options to create such a system and discusses various approaches for data syncing. The structure of the final setup is a Moodle (Modular Object Oriented Developmental Learning Environment) LMS on a Raspberry Pi which provides a Wi-Fi hotspot. The authors worked with lecturers from X University who work in remote Northern Territory regions to test this and provide feedback. This study also considered suitable data collection and techniques that can be used to analyse the available data to support learning analysis by the staff. This research focuses on building an asynchronous hardware and software system that can store data on a local device until able to share. It was developed for staff and students at university who are using the limited internet access in areas such as remote Northern Territory. This system can asynchronously link the users’ devices and the central server at the university using unstable internet. Digital learning systems are crucial for education, and data collected can analyse students learning performances to improve support.

The resultant system has been tested in various scenarios to ensure it is robust when students’ submissions are collected. Furthermore, issues around student familiarity and ability to use online systems have been considered due to early feedback.

Monitoring asynchronous collaborative learning systems through analytics can assist students learning in their own time. Learning Hubs can be easily set up and maintained using micro-computers now easily available. A phone interface is sufficient for learning when video and audio submissions are supported in the LMS.

This study shows digital learning can be implemented in an offline environment by using a Raspberry Pi as LMS server. Offline collaborative learning in remote communities can be achieved by applying asynchronized data syncing techniques. Also asynchronized data syncing can be reliably achieved by using change logs and incremental syncing technique.

Focus on audio and video submission allows engagement in higher education by students with lower literacy but higher practice skills. Curriculum that clearly supports the level of learning required for a job needs to be developed, and the assumption that literacy is part of the skilled job in the workplace needs to be removed.

To the best of the authors’ knowledge, this is the first remote asynchronous collaborative LMS environment that has been implemented. This provides the hardware and software for opportunities to share learning remotely. Material to support low literacy students is also included.

This study examines employee emotional exhaustion and turnover intention as the consequences of problematic customer behaviors and tests the role of perceived organizational justice and job satisfaction in mitigating these consequences.

A four-hypothesis model was tested using partial least squares structural equation modeling (PLS-SEM) based on a two-phase survey of 369 frontline services employees in Vietnam with a three-month time lag.

The study shows that abusive and unreasonably demanding customer behaviors have positive effects on emotional exhaustion, which, in turn, reduces job satisfaction and, subsequently, turnover intention. It also reveals that organizational justice mechanisms attenuate the positive association between emotional exhaustion and turnover intention. Job satisfaction indirectly mitigated the turnover intention of emotionally exhausted employees who had to deal with problematic customer behaviors, especially in the service sector in Vietnam, an emerging market.

Building upon the social exchange theory (SET) and the conservation of resources theory (COR), this study extended the research on organizational justice with respect to emotional exhaustion in the customer service sector that received less attention previously. Rather than merely focusing on the interpersonal factors (e.g. respect and sensitivity) as organizational support does, organizational justice encompasses employees' perception of fairness of outcome and the whole process in an organization to reach decisions.

This paper focuses on dry port as a key notion in port-hinterland development. We first discuss the concept of dry port by reviewing existing literature. Then, we explore the reasons behind the emergence and development of inland node systems in different geographical, economic and institutional contexts. Next, the paper presents a classification of dry ports based on a multitude of factors and dimensions and the respective benefits to different parties. The study then focuses on the specific characteristics of dry ports and associated transport networks in developing countries.

In the last part, we present a case study on the dry port system in Vietnam by reviewing the seaport and inland transport system and analyzing the current status of inland terminals in Vietnam. To conclude, a SWOT analysis is presented with regard to the development of the dry port network in Vietnam, followed by recommendations for policy makers.

“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

This paper aims at identifying perceived factors and measuring opinions about the factors' impact on academic staff development (ASD) at Tay Nguyen University (TNU), Dak Lak, Vietnam.

The research used the exploratory factor analysis (EFA) method, the multiple regression model (ordinary least squares (OLS)) and a five-point Likert scale questionnaire. A sample of 70 managerial staff, 374 lecturers and 512 students of TNU was surveyed to obtain data.

The EFA showed that opinions concerning university autonomy (UA) and university social responsibility (USR) were positively correlated. With the above two factors united as responsible autonomy (RA), the OLS indicated perceptions that RA and internal driving factor (IF) had significant and positive impacts on the ASD, while external driving factor (EF) was found to have a perceived negative influence on ASD.

The results indicated that there appears to be a close relationship between UA and USR, and these can be considered as a factor that has apparent impacts on the ASD of the university.

The degree of UA and USR of TNU should be enhanced through awareness of the university's academic staff, the application of a suitable evaluation system and the efficiency of university's regulations. In addition, efforts should be made to improve internal factors such as the dissemination of educational philosophy, the suitability of strategic plans, the development of key performance indicators KPIs and the building of organizational culture – all of which will help to heighten the university’s ASD. At the same time, TNU should endeavor to quickly transform aspects of administration and management to meet the shifting requirements of the autonomous environment and competitive features of the market economy. In particular, there is a need for the academic staff themselves to have increased capacity to adapt to these changes.

The authors' results have a broader application to not only the case of TNU but to other situations in developing countries where universities are in transitional stages as governments assign increasing autonomy and responsibility to them.

This paper suggests that the academic staff of TNU should be provided with both professional autonomy and adaptive capacity to foster research and educational innovation in the market-based higher education system of Vietnam. More generally, if true, the paper suggests that an increase in the degree of UA and USR should be combined with the efforts to improve the internal environments such as disseminating educational philosophy, mission, vision and strategies and building organizational culture.

FinTech offers numerous prospects for significant enhancements and fundamental changes in financial services. However, along with the myriad of benefits, it also has the potential to induce risks to individuals, organisations and society. This study focuses on understanding FinTech developers’ perspective of the dark side of FinTech.

This study conducted semi-structured interviews with 23 Nigerian FinTech developers using an exploratory, inductive methodology The data were transcribed and then thematically analysed using NVivo.

Three themes – customer vulnerability, technical inability and regulatory irresponsibility – arose from the thematic analysis. The poor existing technological infrastructure, data management challenges, limited access to data and smartphone adoption pose challenges to a speedy integration of FinTech in the country, making customers vulnerable. The lack of privacy control leads to ethical issues. The lack of skilled developers and the brain drain of good developers present additional obstacles to the development of FinTech in Nigeria.

FinTech operation in a developing country differs from that in developed countries with better technological infrastructure and institutional acceptance. This study recognises that basic banking operations through FinTech are still not well adopted, necessitating the need to be more open-minded about the global practicalities of FinTech.

FinTech managers, banks and policymakers can ethically collect consumer data that can help influence customer credit decisions, product development and recommendations using the mobile app and transaction history. There should be strict penalties on FinTech for selling customers’ data, sending unsolicited messages or gaining unnecessary access to the customer’s contact list. FinTech can offer to educate consumers about their financial management skills.

Whereas other studies have focused on the positive aspects of FinTech to understand client perceptions, this study offers new insights into the dark side of FinTech by analysing the viewpoints of FinTech developers. Furthermore, the study is based in Nigeria, an emerging economy adopting FinTech, adding a new dimension to the body of knowledge.

This study aims to investigate the impacts of travel motivations, time perspective and city image that affect travelers’ intention to visit city tourism.

The data in this study was collected through a structured questionnaire survey conducted in three big cities in the North of Vietnam (Hanoi, Hai Phong and Ha Long). The data set consists of 625 valid responses by Vietnamese tourists. Correlation analysis and structural equation modeling were used to test the causal relationships among time perspective, city image, travel motivations and tourist intention. Confirmatory factor analysis is conducted to verify the reliability and validity of each latent construct and to evaluate the discriminant validity, convergent validity, composition reliability and average variance extracted for the latent constructs.

This study finds that tourists’ travel motivations, time perspective and city image are significantly and positively associated with their intention to visit city tourism. This study also reports that tourists’ time perspective and city image are significantly and positively related to their travel motivation which is in turn significantly and positively correlated to their intention to engage in city tourism.

City tourism providers need to seek for understanding travel motivations of potential customers. City tourism products should be promoted to people who want to travel for knowledge enhancement, seeking, self-fulfillment, socializing and escape. Tourism businesses and marketers focus more on developing the overall image of city. They should have city slogan and have strategy to establish the city branding to evoke or remind the customers to come in. Since the Corona (COVID-19) pandemic impact on every nation around the world, the artificial intelligence has to be taken on city tourism to minimize the negative influence of this pandemic.

This study reveals three key determinants of tourists’ intention including travel motivations, city image and time perspective, which have unclear study in the city tourism literature. This study also explains the role of travel motivations in mediating the impacts of their time perspective and city image on their intention to visit city tourism. Improving the city image is important to attract tourists who want to engage in city tourism for knowledge enhancement, seeking, self-fulfillment, socializing or escape. Tourism providers need to have a strategy for establishing the city branding to evoke or remind the customers to come in. The time perspective should be paid more attention to tourists who want to travel to city tourism for knowledge enhancement, seeking, self-fulfillment, socializing or escape.

The study aims to look at deep eWOM providing behaviour in m-commerce and attempts to explore its antecedents. Personalisation is proposed as an indirect antecedent of deep eWOM providing behaviour mediated by hedonic and utilitarian value perceptions and personal identification.

Based on social-exchange theory, the conceptual model links the study antecedents to deep eWOM providing behaviour. The conceptual model was validated through a multi-country study. A large sample of m-commerce users in the UK (n = 505), India (n = 422) and Vietnam (n = 618) were contacted to collect the data. Data were analysed through structural equations modelling procedure with invariance analysis conducted to ensure that the results from the three samples could be compared. The authors also conducted post-hoc analysis to explore the mediation paths between variables.

The study finds support to the conceptual model across the samples from the three countries. Personalisation is found to increase value perceptions – both utilitarian and hedonic – and personal identification which leads to “deep” eWOM providing behaviour across all the three countries. The serial mediation also provides comparable results across the three countries.

The study contributes to the understanding of deep eWOM providing behaviour – a construct with high practical relevance which has however not been explored sufficiently in current literature. The study also contributes to the literature that analyses the consequences of personalisation in m-commerce.

This study aims to identify the characteristics of the maritime shipping network in Northeast Asia as well as compare the level of port connectivity among these container ports in the region. In addition, this study analyses the change in role and position of 20 ports in the region by clustering these ports based on connectivity index and container throughput and route index.

This study employs Social Network Analysis (SNA) to delineate the international connectivity of major container ports in Northeast Asia. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to identify each port's connectivity index and container throughput index, and the resulting indexes are employed as the basis to cluster 20 major ports by fuzzy C-mean (FCM).

The results revealed that Northeast Asia is a highly connected maritime shipping network with the domination of Shanghai, Shenzhen, Hong Kong and Busan. Furthermore, both container throughput and connectivity in almost all container ports in the region have decreased significantly due to the coronavirus disease 2019 (COVID-19) pandemic. The rapid growth of Shenzhen and Ningbo has allowed them to join Cluster 1 with Shanghai while maintaining high connectivity, yet decreasing container throughput has pushed Busan down to Cluster 2.

The originality of this study is to combine indexes of SNA into connectivity index reflecting characteristics of the maritime shipping network in Northeast Asia and categorize 20 major ports by FCM.

Drawing on social exchange theory, this paper aims to clarify the influences of ethical leadership (EL) on knowledge-sharing (KS) behaviours of employees through the mediating roles of affective- and cognitive-based trust in leadership. This work further offers deeper insight into the moderating mechanism of distributive justice in the EL–KS relationship.

Structural equation modelling (SEM) is used to investigate the influential degree of EL, aspects of employee trust in leadership and distributive justice on employee behaviours towards tacit and explicit knowledge via data collected from 339 participants in 75 Vietnamese firms.

The empirical findings reveal that employee trust in leadership positively mediates the relationship between EL and KS behaviours. In particular, distributive justice significantly fosters the impacts of EL on tacit and explicit KS behaviours.

Managers and practitioners should strengthen EL practices to build and maintain employee trust in them for promoting KS behaviours. In addition, research highlights the necessity of establishing distributive justice in organisations to enhance the effect of EL on KS behaviours of employees.

This paper is unique in its attempts to advance the insights on the theory of leadership and knowledge management by investigating the different moderated-mediation mechanisms in the relationship between EL and specific aspects of KS behaviours.