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In the global migration crisis COVID 19 had devastating consequences. Workers were confined to their locations due to travel restrictions and working from home became “working away from home” for millions of migrant workers. Mobile financial services emerged as key to livelihood of the mobile remittance recipients. It is essential for service providers to gain insights of users' motives to use mobile remittance services.

This study proposed the model by extending unified theory of acceptance and use of technology (UTAUT) model and integrating by perceived cost (PC) and perceived security (PS). Based on the survey data (n = 344) the proposed model was tested using analysis of variance (ANOVA) analysis.

The findings reveal that performance expectancy, effort expectancy, PC and PS affect the users' behavioral intention (BI) to use mobile remittance applications. Social influence nonsignificantly affects the BI and there is no significant influence of facilitating conditions on user behavior.

The volume of migrant workers preCOVID 19 reached 3.5% of the global population, the shear number of unprotected workers plunged into devastation by the COVID-19 impact is huge to cause an economic meltdown. Under the pandemic crisis conditions, the findings provide several practical implications on how service providers could improve their products and services to increase mobile remittance applications usage.

This paper aims to focus on the need for an enhanced anti-money laundering (AML) regulation for decentralised finance (DeFi) to protect the integrity of global financial systems against illicit activities. Research highlights the requirement for a robust regulatory strategy for the fast-paced DeFi evolvement.

This study used doctrinal legal research by analysing legislation, which involved creating use cases to illustrate different aspects of potential illicit activities via the DeFi ecosystem. Various DeFi applications were assessed for the potential regulatory responses and outcomes.

This paper offers valuable insight into the regulatory challenges presented by DeFi. This study addresses the blind spots leveraged by criminals afforded by the DeFi’s decentralised nature. This paper offers a comprehensive examination of DeFi regulatory challenges based on use-case scenarios and provides recommendations for regulators on how to address them effectively.

This paper proposes measures for regulatory authorities to minimise money laundering risks through new channels such as decentralised exchanges, non-custodial wallets and cross-chain bridges. This study concludes with the future directions for DeFi regulation and AML compliance.

This study aims to explore the gender differences in working from home (WFH) experiences during the pandemic from the Australia’s construction workforce perspective. Specifically, it explores gender differences in terms of: (1) the respondents’ family responsibilities during the pandemic; (2) their WFH experiences prior to and during the pandemic; and (3) their perceptions of the impacts of challenges associated with WFH on their work activities and performance along with their self-reported work performance when WFH, overall satisfaction with WFH and preference for WFH post-COVID.

This study adopted a survey design to reach the targeted sample population, i.e. construction workforce in the Australian construction industry who has had experienced WFH during the pandemic. Data was collected using an online anonymous questionnaire survey.

The results show notable gender differences in various aspects including family responsibilities, workplace arrangements and perceptions of the impacts of the challenges associated with WFH on work activities and performance. Also, statistically significant associations are detected between gender and the respondents’ self-reported work performance when WFH, overall satisfaction with WFH and preference for WFH post-COVID.

Even prior to the COVID-19 pandemic, little is known about WFH experiences among construction workforce due to the low prevalence of regular and planned remote working in the industry. This is the first study sheds light on construction workforce WFH experiences using gender lenses. The findings have implications for construction-related firms continuing with WFH arrangement post the pandemic, which may include the formulation of policy responses to re-optimize their present WFH practices.

Why is it that, despite repeated claims that digital-content firms and internet-based businesses can internationalize everywhere almost instantly, many seem unable to profitably expand outside their home markets? Why have emerging market firms (EMNEs) caught up with established developed-country multinationals (DMNEs) so much faster than expected? In this chapter, the author argues that the clue to these two puzzles lies in the realization that, contrary to the dominant view in the international business (IB) literature that focuses only on the intangibles exploited by DMNEs and assumes that these firms are free to unilaterally decide on their mode of entry and operation, doing business in a foreign country is only possible if intangibles are bundled with complementary local resources, usually held by local firms. Taking into account these complementary local resources and their owners makes it clear that DMNEs are not always free to choose their entry mode but must enlist the cooperation of local resource owners. The need of digital-content and internet-based firms for local complementary resources also explains why they sometimes experience problems when expanding abroad. Lastly, control of complementary local resources provides EMNEs with a home advantage against DMNEs competing with them in their home market. The author shows how EMNEs can capitalize on this advantage to obtain the intangibles they lack and need. The fact that these advantages are available on efficient global markets, while complementary local resources are not, explains the surprising speed of EMNE catch-up.

This paper discusses data-collection strategies that use digitized historical newspaper archives to study social conflicts and social movements from a global and historical perspective focusing on nationalist movements. I present an analysis of State-Seeking Nationalist Movements (SSNMs) dataset I, which includes news articles reporting on state-seeking activities throughout the world from 1804 to 2013 using the New York Times and the Guardian/Observer. In discussing this new source of data and its relative value, I explain the various benefits and challenges involved with using digitized historical newspaper archives for world-historical analysis of social movements. I also introduce strategies that can be used to detect and minimize some potential sources of bias. I demonstrate the utility of the strategies introduced in this paper by assessing the reliability of the SSNM dataset I and by comparing it to alternative datasets. The analysis presented in the paper also compares the labor-intensive manual data-coding strategies to automated approaches. In doing so, it explains why labor-intensive manual coding strategies will continue to be an invaluable tool for world-historical sociologists in a world of big data.

The purpose of this study is to address the mixed predictions about the relationship between general skills training and turnover intention of early career graduates by examining the mediating mechanisms of perceived organizational support (POS) and job satisfaction (JS) through which this relationship might be enacted. This study adopts organizational support theory as the guiding theory and examines the concept of POS as critical for predicting and explaining relationships in the conceptual framework.

A quantitative survey method was used on a sample of 147 Chinese early career graduate trainees. Analysis was conducted using partial least square-based structural equation modelling (PLS-SEM).

The main finding is that participation in general skills training (PGST) does not directly impact turnover intention, rather POS is a mechanism through which this negative relationship operates. This study also found significant evidence for serial mediation by POS on PGST and its relationship with turnover intention. Importantly, JS only has an effect on turnover intention when in the presence of serial mediation by POS.

Cross-sectional study of a small survey sample. Nonetheless, the findings have major implications for research theories on the relationship of general skills training with employee turnover.

PGST does not directly impact turnover intention, rather POS is a mechanism through which this negative relationship operates.

This research emphasizes the important role of POS in the relationship between early career graduate trainees’ PGST and their turnover intentions.

This study aims to develop a framework that explains how and when telework is related to emotional exhaustion and task performance, by conceiving work overload as a mediator and self-leadership as a moderator. For this purpose, two studies were conducted. Study 1 aims to understand whether telework would be related to emotional exhaustion and task performance and if work overload would mediate such relationships. Study 2 aims to analyze whether self-leadership was a significant moderator of the mediated relations found in Study 1.

The hypotheses were tested in a sample of 207 (in Study 1) and 272 (in Study 2) participants, which were exclusively teleworking. The results were analyzed using PROCESS macro in SPSS.

The results of Study 1 showed that telework dimensions were negatively related to work overload, which consequently decreased emotional exhaustion and increased task performance. In Study 2, self-leadership moderated the indirect effect of work overload on the relationship between telework and emotional exhaustion, such that the indirect effect was stronger for those who scored higher in self-leadership. However, it was not significant for task performance.

This paper adds to research on telework by focusing on the employee's mental health and performance, in the context of mandatory confinement. The authors identified telework dimensions that may act as resources to cope with the increased work overload inherent to telework, as well as the importance of personal resources in these relationships.

How to improve continuance commitment for platform workers is still unclear to platforms' managers and academic scholars. This study develops a configurational framework based on the push-pull theory and proposes that continuance commitment for platform workers does not depend on a single condition but on interactions between push and pull factors.

The data from the sample of 431 full-time and 184 part-time platform workers in China were analyzed using fuzzy-set qualitative comparative analysis (FsQCA).

The results found that combining family motivation with the two kinds of pull factors (worker's reputation and algorithmic transparency) can achieve high continuance commitment for full-time platform workers; combining job alternatives with the two kinds of pull factors (worker's reputation and job autonomy) can promote high continuance commitment for part-time platform workers. Particularly, workers' reputations were found to be a core condition reinforcing continuance commitment for both part-time and full-time platform workers.

The findings suggest that platforms should avoid the “one size fits all” strategy. Emphasizing the importance of family and improving worker's reputation and algorithmic transparency are smart retention strategies for full-time platform workers, whereas for part-time platform workers it is equally important to reinforce continuance commitment by enhancing workers' reputations and doing their best to maintain and enhance their job autonomy.

This study expands the analytical context of commitment research and provides new insights for understanding the complex causality between antecedent conditions and continuance commitment for platform workers.