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The e-learning-based approach is critical in keeping the wheels of education turning in the face of the COVID-19 epidemic. In this scenario, analyzing the implementation of the e-learning system is required to properly grasp the needs. The purpose of this paper is to demonstrate the relationship between technical system quality, information quality, service quality, educational system quality, support system quality, learner quality, instructor quality, perceived satisfaction, perceived usefulness, e-learning system use and benefits.

This study was carried out by giving online questionnaires to students attending private institutions in Indonesia. A total of 593 students participated in the study and provided responses. The structural equation model, which is supported by the program WarpPLS7.0, is used to analyze the data.

Maintaining the quality of the technological system, the information system, the learners and the educational system can help achieve the goal of increasing perceived utility. In the meanwhile, factors such as inadequate service quality, educational system quality, support system quality and teacher quality can all pose challenges to perceived levels of satisfaction. To get the most out of e-learning apps, users' expectations about how fun, useful and easy to use they are need to be met.

This study was carried out in the midst of the COVID-19 epidemic with a restricted number of participants from Indonesian institutions of higher education. This research has the potential to be expanded into a variety of different types of higher education in the future.

The main thing that will determine whether an e-learning system model works is the quality of the learners.

The institution should think about changing the material offered in the e-learning system to make it easier for students to grasp by describing the current material and providing digital handouts of lecturers' explanations. This study expanded the e-learning system success model and applied it to the evaluation of e-learning deployment in Indonesian higher education. This study will improve student comprehension of the e-learning model and contribute to the body of knowledge about e-learning applications and technology.

The purpose of this paper is to examine how digital literacy influences knowledge sharing and academic performance among graduate students in online learning environments.

Structural equation modeling via AMOS was utilized to test the research hypotheses in this cross-sectional study. Students’ digital literacy, their knowledge sharing, and their academic performance in online learning environments were surveyed by questionnaires. The sample of 330 graduate students was selected from a leading public university in Iran. Based on a stratified sampling approach, the recruited students answered questionnaires based on their degree level and field of study.

The results demonstrated that digital literacy was a positive and significant predictor of knowledge sharing and students' academic performance. Furthermore, the study revealed that knowledge sharing mediates the relationship between digital literacy and academic performance.

Our findings revealed that digital literacy positively and significantly predicts knowledge sharing and academic performance. This may be attributed to the fact that digital literacy is essential for developing digital learning in higher education. Conducting research on the antecedents and consequences of digital literacy in academic environments may prove attractive to future researchers.

Research on the influence of digital literacy on students’ knowledge sharing and academic performance in online learning environments is scarce. This study suggests that improving students’ digital literacy and knowledge sharing can enhance their performance in online learning environments, and it is a recommendation for university educators and educational technologists. Gaining insight into the influence of digital literacy on how students share knowledge and their academic achievements in virtual learning environments can have numerous managerial ramifications for administrators and instructors in higher education.

The purpose of this paper is to assess the perceived level of Jordanian nurses’ competencies in offering care to the community during a disaster.

A correlational descriptive design was used to assess nurses’ competencies in offering care for the community during a disaster.

A total of 370 nurses (55 % males) aged 25−55 agreed to participate. The mean score of competencies of nurses who offer care to the community during the disaster was 2.11 (SD = 0.59) points. The results of correlation coefficient tests revealed a significant positive correlation between stated competencies level and nurses’ sex, receiving disaster education and training with rpb (371) = 0.13, p < 0.01; rpb (598) = 0.15, p = 0.004; rpb (598) = 0.21, p < 0.001, respectively. Furthermore, the “care of communities” subscale had a weak positive correlation with the.

Nurses play a critical role in disaster response. However, there was a gap in nurses’ competencies for disaster, which shows there is a crucial need to include disaster management courses in the nursing curriculum and update disaster management courses in hospitals based on nurses’ needs to improve their competencies during disasters.

This study aims to examine the impact of intellectual capital on the underwriting risk of insurance companies in Pakistan.

The study used a quantitative research approach and a longitudinal research design, gathering data from 23 insurance companies listed on the Pakistan stock exchange from 2010 to 2022. The value-added intellectual coefficient (VAIC) was used to measure intellectual capital (IC), and unbalanced panel data were analyzed using static and dynamic regression analyses.

The findings demonstrate a significant association between intellectual capital and underwriting risk in insurance companies in Pakistan. Specific components of intellectual capital, such as human capital efficiency (HCE), structural capital efficiency (SCE) and capital employed efficiency (CEE), have a strong negative impact on underwriting risk. Control variables like return on assets, insurer size and leverage also showed significant relationships with underwriting risk.

This research provides new insights into the theoretical understanding of the insurance industry by establishing a direct link between intellectual capital and underwriting risk in the context of Pakistan. It suggests that by improving aspects of intellectual capital, specifically HCE, SCE and CEE, policymakers and managers can reduce underwriting risk.

Energy poverty presents substantial challenges for both developed and developing nations, with the latter experiencing more pronounced adverse effects due to issues related to the provision and equitable access of energy resources. This study aims to provide a deep understanding of how financial development, economic complexity and government expenditures can impact energy poverty.

This research employs generalized method of moments (GMM) estimation on panel data to investigate the economic determinants of energy poverty in 31 developing countries from 2000 to 2020. For a comprehensive analysis, the proxies for energy poverty include access to electricity, access to clean fuels and energy consumption.

The findings suggest that while financial development cannot facilitate access to clean fuels in developing countries, it contributes to an increase in energy access and consumption. Another finding is that energy poverty can be alleviated by enhancing economic complexity since economic complexity can result in increased access to electricity and increased use of clean energy sources. Furthermore, the results underscore the pivotal role of government expenditures, surpassing the influence of financial development. In other words, government expenditures have the potential to significantly improve energy poverty across all three indices.

This is a pioneering research that seeks to examine some economic dynamics including, financial development and economic complexity on energy poverty and provide valuable guidance for policymakers aiming to promote sustainable energy development with respect to economic dynamics.

The main aim of the study is to explore the volatility spillover effect of cryptocurrencies (Bitcoin, Ethereum and Litecoin) on inflation volatility in India.

A popular tool, the Bivariate GARCH model (BEKK-GARCH), to study the volatility spillover effect, is applied in the study. Monthly data of cryptocurrencies and inflation (WPI and CPI indices) are gathered from 2015 to 2021.

Significant short-term responsiveness of volatility of cryptocurrencies on the inflation volatility is found. In addition to this, the significant volatility spillover effect from the cryptocurrencies to the inflation volatility is found.

The findings of the current paper can be of use for inflation management, target inflation policies and policies to contain the volatility of cryptocurrencies. The significance of the current paper is relevant as governments worldwide are officially recognizing cryptocurrencies and starting the process of launching their official virtual currency.

No other study is observed on the topic. Hence, the contribution and novelty of the findings of the current paper are very high and add value to the nonexistent literature on the topic. Lack of the number of inflation observations (data of CPI and WPI are available only in monthly frequency) crimps the model estimation. As the cryptocurrencies become old, more data points will be available by design, and such problems can be resolved, and better model estimation may be possible.

By combining relevant literature and using quantitative methodology, this study aims to look into the role of knowledge management (KM) as a mediator between entrepreneurial competencies (ECs) and the sustainable performance (SP) of manufacturing small and medium-sized enterprises (SMEs).

The relationships in the proposed model were examined with data collected from 122 Malaysian SMEs using a cross-sectional technique and a standardized questionnaire and analyzed using structural equation modeling path analysis.

According to the findings, ECs have a positive and considerable impact on KM as well as the SP of manufacturing SMEs. Importantly, KM partially mediates between ECs and the SP of manufacturing SMEs.

This research provides a theoretical contribution through the integration of ECs, KM and SP within a unified framework that takes into account the viewpoints of the resource-based view, the knowledge-based view and the triple bottom line. The results corroborate that ECs directly affect SP and indirectly through KM. Nevertheless, the study’s use of cross-sectional survey data makes it impossible to draw conclusions about causes. This is because ECs, KM and SP all have effects on time that this empirical framework cannot account for.

The findings of this research provide valuable insights for managers and decision-makers in SMEs, who are expected to show an increasing interest in adopting KM processes into their companies through which ECs can be translated into SP.

By applying the proposed framework, SMEs can conduct their activities in ways that do not harm environmental and societal well-being while achieving appropriate economic performance at the same time.

As a result, the findings of this study can add to the literature on ECs and KM, as well as boost the chances of SME sustainability. Directions for future research are also provided in relation to a better understanding of the factors affecting the SP of SMEs.

This study aims to explore the impact of financial management strategies on the financial performance of construction projects in Iraq, specifically investigating the moderating role of company size. The primary focus is to understand how different cost components contribute to performance and how this relationship varies between larger and smaller businesses in the construction industry.

Utilizing a sample of 296 participants from the construction business in Iraq, this research employed a survey questionnaire. The WarpPLS software facilitated data analysis, employing Partial Least Squares Structural Equation Modelling (PLS-SEM) with bootstrapping for model validation. Confirmatory factor analysis (CFA) with maximum likelihood estimation assessed the measurement model, ensuring a comprehensive understanding of the financial management strategies and performance relationship.

The study reveals that equipment costs show no significant relationship with performance in Iraq’s construction industry. Larger construction firms exhibit a positive influence on financial performance from material costs, labour costs and permit/licencing fees compared to smaller firms. This suggests a moderation effect of size on the relationship between these cost components and financial outcomes, highlighting the nuanced impact of financial management strategies on performance.

While shedding light on the size-dependent nuances in the relationship between financial strategies and performance, this study is confined to the construction industry in Iraq. The findings might not be universally applicable, and contextual variations should be considered. Additionally, the reliance on survey data introduces the potential for response bias. Future research could expand the scope to different industries and regions, incorporating diverse methodological approaches for a more comprehensive understanding of the nuances in the financial management and performance relationship.

Construction companies in Iraq can enhance project performance by strategically allocating resources and effectively managing costs, considering the nuanced impact of company size. Larger firms, in particular, should focus on optimising material costs, labour costs and permit/licensing fees to maximise financial outcomes. This study provides actionable insights for practitioners, guiding financial management decisions and offering practical recommendations for improving project performance in the Iraqi construction industry.

The research contributes valuable insights to the Iraqi construction industry, an area with limited prior research on management matters. By emphasising the role of size in moderating the relationship between financial strategies and performance, the study informs industry stakeholders, policymakers and professionals about the importance of tailoring financial management approaches based on company size. This knowledge can potentially lead to improved financial outcomes, positively impacting the overall economic and social landscape in Iraq.

This research adds to the body of knowledge by examining the impact of company size on the relationship between financial management methods and performance in Iraq’s construction projects. The study’s originality lies in uncovering the moderating effect of size on the connection between specific cost components and financial performance. The findings provide a unique perspective on financial management strategies, offering construction companies valuable insights into optimising performance based on their size. This research contributes significantly to an underexplored area, filling a gap in the existing literature and providing practical implications for financial decision-making in the construction industry.

Purpose: Since its inception in 1987, the literature on the VUCA that represents the volatile, uncertain, complex, and ambiguous nature of the business environment has progressively increased. This study systematically evaluates the vast literature on the VUCA world. Since review-based studies have been criticised as biased, this study uniquely amalgamates bibliometric analysis with content analysis, thereby taking a research triangulation discourse.

Need of the Study: This study was conducted to consolidate the literature about the VUCA environment and uncover the foundational and emerging themes for future research agendas.

Design/Methodology/Approach: This study conducts a performance analysis and science mapping of 193 carefully selected articles (using PRISMA) published in various sources during 2012–2023. Articles for the study were procured from the SCOPUS database. While performance analysis focused on analysing publication and citation evolution, thematic evolution, leading publications, country publication analysis, and most relevant authors and sources. On the other hand, science mapping revealed conceptual structures (keyword plus co-occurrence analysis and thematic maps) and intellectual structures (co-authorship analysis). VOSviewer and Biblioshiny (R-tool for comprehensive science mapping) were used for this study’s choice of application.

Findings: This chapter concludes with future research agendas using content analysis of the ‘scope for the future research’ section of selected publications and bibliographic coupling (to unearth emerging themes).

Practical Implications: The work presented in this chapter will help the researchers gain a structured conceptual, intellectual, and social understanding of the vast literature on the VUCA environment.

The study aims to discover the spatial relationship between financial development, energy consumption and economic growth in 11 ASIA countries, using panel data from 1980 to 2016.

The study applies three popular spatial models, namely, (1) spatial error model (SEM), (2) spatial autoregressive model (SAR) and (3) spatial Durbin model (SDM), to explore the direct and spillover effect of financial development and energy consumption on economic growth. Furthermore, a novel test proposed by Juodis et al. (2020) is employed to check the Granger non-causality between each pair of variables.

The empirical outcomes found direct and spillover effects of financial development and energy consumption on economic growth in 11 ASIA countries. Accordingly, an expansion of the financial development in country i is beneficial for the growth of the host country and neighboring countries, and vice versa. However, an increase in energy consumption in country i leads to a decrease in the economic growth of neighboring countries. The test of Granger non-causality indicated a bidirectional causality between financial development and economic growth, and unidirectional causality running from economic growth to energy consumption.

Spillover effects of financial development and energy consumption on growth have largely been ignored in previous studies, especially in emerging countries. Thus, the study enriches the literature and provides some policy implications for ASIA countries.

Spillover effects of financial development and energy consumption on growth have largely been ignored in previous studies, especially in emerging countries. Thus, the study enriches the literature and provides some policy implications for ASIA countries.

Spillover effects of financial development and energy consumption on growth have largely been ignored in previous studies, especially in emerging countries. Thus, the study enriches the literature and provides some policy implications for ASIA countries.