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The outbreak of the COVID-19 pandemic led to the rise of online learning in Hong Kong. Online learning was identified as the only solution to meet students’ learning needs in the higher education sector during this chaotic period. This research aims to explore students’ perceptions of online teaching and learning from home under a health emergency via a comparison of undergraduate and postgraduate students’ experiences.

A total of 174 postgraduate students and 286 undergraduate students in various universities and colleges in Hong Kong were surveyed in this study.

The results show that postgraduate students generally gave more positive feedback on individual and environmental prerequisites, alongside pedagogical and institutional support, and were more motivated in online classes as compared to undergraduate students. Undergraduate students considered the shift to online education in light of the COVID-19 pandemic to be timely and rated their level of discipline with respect to online learning higher than did postgraduate students.

This study enables educators to better understand the first-hand experiences of students across different levels of study in Hong Kong, as well as to examine the possibility of establishing online education as a more prevalent mode of study in the future. The COVID-19 pandemic has educated us on the significance of being well-prepared to ensure quality education continues when emergencies and disturbances arise.

While sustainable growth extends the use of resources, it is crucial to explore green growth (GG) that ensures growth sustainability through the adoption of renewable energy. Thus, this study is motivated to investigate the influence of renewable energy on GG in 19 emerging countries spanning a decade and a half (2000–2020). This study aims to provide a quantitative examination of how renewable energy contributes to sustainable economic growth.

This study uses advanced dynamic common correlated effect techniques to assess the long-term effectiveness of renewable energy on GG. Additionally, it uses Dumitrescu and Hurlin causality tests to identify synchronicity between the respective variables.

The findings of this study reveal that the adoption and utilisation of renewable energy effectively promote GG in emerging economies. However, in contrast, the significantly greater negative influence of trade openness on GG compared to renewable energy highlights the inadequacy and limited impact of cleaner energy alone.

To the best of the authors’ knowledge, existing literature predominantly focuses on investigating the relationship between renewable energy and economic growth, with only a limited number of studies exploring the impact on GG. To the best of the authors’ knowledge, this study would be the first to analyse this relationship in these emerging countries. Furthermore, previous estimation frameworks used in prior studies often overlook the crucial factor of cross-sectional dependence (CSD) among countries. Therefore, this study addresses this issue using a contemporary econometric approach that deals not only with CSD but other biases, like endogeneity, autocorrelation, small sample bias, etc.

Several factors influence OSC adoption, but extant literature did not articulate the dominant barriers or drivers influencing adoption. Therefore, this research has not only ventured into analyzing the core influencing factors but has also employed one of the best-known predictive means, Machine Learning, to identify the most influencing OSC adoption factors.

The research approach is deductive in nature, focusing on finding out the most critical factors through literature review and reinforcing — the factors through a 5- point Likert scale survey questionnaire. The responses received were tested for reliability before being run through Machine Learning algorithms to determine the most influencing OSC factors within the Nigerian Construction Industry (NCI).

The research outcome identifies seven (7) best-performing algorithms for predicting OSC adoption: Decision Tree, Random Forest, K-Nearest Neighbour, Extra-Trees, AdaBoost, Support Vector Machine and Artificial Neural Network. It also reported finance, awareness, use of Building Information Modeling (BIM) and belief in OSC as the main influencing factors.

Data were primarily collected among the NCI professionals/workers and the whole exercise was Nigeria region-based. The research outcome, however, provides a foundation for OSC adoption potential within Nigeria, Africa and beyond.

The research concluded that with detailed attention paid to the identified factors, OSC usage could find its footing in Nigeria and, consequently, Africa. The models can also serve as a template for other regions where OSC adoption is being considered.

The research establishes the most effective algorithms for the prediction of OSC adoption possibilities as well as critical influencing factors to successfully adopting OSC within the NCI as a means to surmount its housing shortage.

We draw upon stress theory and utilize the context of the COVID-19 pandemic to investigate how various coping strategies employed by expatriates affect their psychological stress, subsequently influencing their expatriation satisfaction and intention to withdraw from the host country.

We utilize structural equation modeling to analyze a sample of 453 expatriates residing and working in the United Arab Emirates during the COVID-19 pandemic.

Our analysis shows that the effects of different coping strategies on expatriates vary. Depending on the nature of the strategy, they can have either positive or negative effects. While coping via problem-focused and denial strategies decreases expatriates' stress, coping by distancing increases it. Social support-seeking is not found to be an effective stress-coping strategy. In terms of implications, the problem-focused strategy leads to the most positive outcomes, whereas distancing leads to the most negative outcomes.

Our study provides significant theoretical and practical insights into expatriates' coping mechanisms within the context of natural crises.

The main goal of the article is to identify, analyze and evaluate the mediating role of HRM outcomes in the relationships between employee retention (ER) and company performance results, with a specific focus on discerning any shifts or differences in this mediation across non-crisis and crisis times in the foreign subsidiaries of MNCs.

The empirical research covered 200 MNCs headquartered in Central Europe. A Computer-Aided Telephone Interviewing (CATI) method was used for data collection. The raw data was adjusted using the Efficiency Index (EI) to accurately represent the relationships between the variables under study. The research hypotheses were examined, and the mediating effects were assessed through Partial Least Squares Structural Equation Modeling (PLS-SEM).

The research findings provide valuable insights by exploring the mediating role of HRM outcomes between ER and company performance results, highlighting HRM’s crucial role in enhancing results in finance, innovation and quality, particularly during crises. They underscore the strategic importance of HRM in fostering organizational resilience and innovation.

The study offers a new methodological contribution through introducing the EI for a precise quantitative evaluation of the relationships between ER, HRM and company performance results. However, the greatest added value of this article is the creation of the ER-HRM Mediation Theory of Organizational Resilience through Innovativeness in Crisis.

Although the importance of entrepreneurial culture (EC) has been recognized, it remains unclear how EC affects sustainable competitive performance (SCP). This study aims to explore how EC affects SCP via the mediating role of innovation capability (IC) and the moderating role of digital marketing capability (DMC).

Based on data gathered from manufacturing small and medium-sized enterprises (SMEs) in Malaysia, the proposed model was tested using partial least squares structural equation modeling via SmartPLS software.

The analysis results indicate that EC affects IC, which in turn has a positive effect on SCP. In addition, IC mediates the EC-SCP relationship. Importantly, DMC positively moderates the EC–SCP relationship.

This study combines IC, DMC and SCP under resource-based view and dynamic capabilities theory into a single framework. Results confirm EC's impact on SMEs' manufacturing sector SCP, with IC mediating this link. However, the cross-sectional design restricts deeper respondent analysis.

This study offers SME managers/owners and decision-makers insights on enhancing EC for better performance and competitive edge. It highlights IC's crucial role in translating EC into innovation and value creation. Policymakers can also use these findings to design programs for SMEs in emerging markets.

This study underscores the significance of EC adoption not only to generate a sustainable competitive advantage for the firm but also to increase the social as well as economic well-being of the firm, especially in the context of emerging economies, such as Malaysia; which are characterized by diverse ethnic groups contributing to their unique social fabric.

This work fills the knowledge gap by providing empirical evidence for the mediating and moderating role of IC and DMC, respectively, in the link between EC and SCP, thus significantly contributing to emerging markets, where managers seek to enhance their understanding of using EC for fostering SCP.

The purpose of this study is to investigate the impact of business group (BG) affiliation on affiliated firms' entrepreneurial orientation (EO). The authors further investigate the possible contingent factors affecting this relationship – the age of BGs and the affiliated firm’s external linkages (ratio of external to in-house interlocks) on the relationship in an emerging market context.

The study employs a dynamic panel data framework using the system-generalized method of moments (Sys-GMM) on a sample of 670 NSE-listed Indian firms during the 2006–2019 period. EO is measured through content analysis of the letters to shareholders (LTS) issued by the companies between the period 2006 and 2019.

BG affiliates have more EO than standalone firms, as affiliates can access group-wide resources and capabilities apart from firm-specific resources. Affiliates of older BG have less EO since they are more entrenched in the institutional settings of their BG. Affiliates with more external linkages of board members will have a higher level of EO, as such linkages would subside inertial tendencies by exposing them to novel sets of information, resources and strategic practices. Further, the negative effect of BG age on EO is countered by external linkages. Overall, the study shows that the effect of group affiliation is not uniform and is contingent on the factors we have theorized and tested.

The paper proposes the resource-based view and the institutional void theory as likely candidates for explaining the contribution of BGs towards the EO of its affiliates, especially in the context of emerging markets. The contingent role of BG age highlighted in the paper forewarns managers about the importance of establishing internal mechanisms to preserve the EO in affiliates. Our findings about the positive role played by external linkages of the board members provide one such mechanism that can be leveraged to enhance affiliated firm’s EO.

Urban communities can be faced with many destructive events that can disrupt the daily functioning of activities and livelihood of people living in the communities. In this regard, during the last couple of years, many governments have put a lot of efforts into building resilient urban communities. Essentially, a resilient urban community has the capacity to anticipate future disasters, prepare for and recover timely from adverse effects of disasters and unexpected circumstances. Considering this, it is therefore important for the need to continuously review the existing urban community resilience indicators, in order to identify emerging ones to enable comprehensive evaluation of urban communities in the future against unexpected events. This study therefore aims to conduct a systematic review to develop and critically analyse the emerging and leading urban community resilience indicators.

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRSIMA) protocol, 53 journal articles were selected using Scopus. The selected papers were subjected to thorough content analysis.

From the review, 45 urban community resilience indicators were identified. These indicators were grouped into eight broad categories namely, Socio-demographic, Economic, Institutional Resilience, Infrastructure and Housing Resilience, Collaboration, Community Capital, Risk Data Accumulation and Geographical and Spatial characteristics of community. Further, the results indicated that the U.S had the highest number of publications, followed by Australia, China, New Zealand and Taiwan. In fact, very few studies emanated from developing economies.

The outputs of this study will inform policymakers, practitioners and researchers on the new and emerging indicators that should be considered when evaluating the resilience level of urban communities. The findings will also serve as a theoretical foundation for further detailed empirical investigation.