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This study aims to integrate and extend leading contemporary underpinning frameworks such as the Stimulus Organism Response (S-O-R) model, Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) to assess the determinants of M-commerce usage during COVID-19 times. Besides direct effects, the study examines the mediating role of behavioral intention in affecting the relationship between a few external stimuli, internal states (of the organism) and M-commerce usage (the response). The study has also examined the moderating role of habitual behavior in the relationship between behavioral intention and M-commerce usage.

Data were gathered from 312 customers through an online survey using a structured questionnaire. PLS-based SEM, using Smart PLS 4.0, was employed to calibrate the measurement and structural models.

The study found that stimuli like social influence, perceived ease of use and perceived value substantially affected M-commerce usage. Behavioral intention has been found to mediate these cause-and-effect relationships partially or fully among the subject constructs. Additionally, a significant negative but weak moderating impact of habit (or habitual behavior) on the relationship between behavioral intentions and M-commerce usage has been corroborated.

Several studies have investigated the factors influencing the adoption and continued usage of M-commerce services while appealing to diverse theoretical frameworks. However, more research has yet to be expended to arrive at an integrated explanation grounded in these theoretical frameworks to examine the dynamics of M-commerce usage in tempestuous times like the COVID-19 outbreak. The most significant (counterintuitive) findings have been suppressing the effects of otherwise crucial elements like perceived security and habit in prompting M-commerce usage in the face of the socio-psychological pressures stemming from COVID-19 restrictions and consumers' lack of digital readiness. The study's outcomes offer several theoretical and practical implications for researchers, managers, practitioners, businesses and policymakers to develop effective strategies to mature M-commerce usage among the masses, especially during unusual times like COVID-19.

The purpose of this study is to provide a comprehensive exploration of academic research on halal purchasing decisions and consumer behavior by integrating bibliometric and systematic review methodologies.

This study uses a multi-method approach, combining bibliometric and systematic review methodologies, to comprehensively analyze the domain of halal purchasing decisions and consumer behavior. A data set of 184 articles published between 2007 and 2024 was sourced from the Scopus database. The bibliometric analysis was conducted using Bibliometrix in R, facilitating performance analysis, science mapping and network analysis to explore key authors, affiliations, collaborations and thematic trends. Additionally, the systematic review examined the limitations and future research areas discussed in prior studies, providing the basis for formulating potential research questions to address identified gaps.

The study identifies significant contributions within the domain of halal purchasing decisions and consumer behavior, emphasizing the critical roles of religiosity, trust and halal certification as dominant themes. Bibliometric analysis reveals key authors, influential publications and collaborative networks, highlighting Malaysia as a central hub for research in this field. Additionally, the analysis underscores the intellectual structure and thematic evolution, identifying underexplored areas such as non-Muslim perspectives, emerging halal industries and geographic diversity. The systematic review complements these insights by addressing recurring methodological and theoretical limitations, offering targeted recommendations for future research.

This research uniquely combines bibliometric and systematic review methodologies to provide a comprehensive review of the halal consumer behavior literature, identifying limitations and gaps in prior studies and proposing actionable areas for future research.

Developing and maintaining green innovation (GI) and environmental performance (EP) has become a significant challenge for every organization. The present paper attempts to confirm the contributions of technology leadership (TL) and green HRM (GHRM) to green work engagement (GWE), GI and EP. The study also recognizes GWE’s contribution to connecting TL, GHRM, GI and EP.

The study applies a deductive approach where data are gathered through questionnaires from employees of manufacturing firms in Egypt. Consequently, the study utilizes 312 cases to draw its conclusions.

With regard to analysis, the researcher used path analysis through AMOS and established a positive effect of TL on GI and EP but a negative on GWE. GHRM has been confirmed to predict GWE, GI and EP positively. Furthermore, GWE positively influences GI and EP among the employees of manufacturing firms in Egypt. The indirect paths establish a significant contribution of GWE in developing the links between TL and EP, GHRM, GI and EP. On the other hand, it negatively affects the link between TL and GI.

The study assists employers in setting green goals for their employees by offering the required knowledge, skills and training for green environmental management. The study also benefits employees’ workplace green behaviors in performance appraisals and promotions.

The study’s originality assists in overcoming the remaining gaps in the literature by enriching the penetration of the literature from a developing context.

This paper examines the impact of Central Bank Digital Currencies (CBDCs), regulated stablecoins and tokenized traditional assets on the cryptocurrency market, following the guidelines set by the Basel Committee. This study aims to analyze the implications for secure storage, cross-border transfers and necessary investments.

The paper uses a policy analysis approach to assess the potential effects of the Basel Committee’s regulations on CBDCs, regulated stablecoins and tokenized traditional assets. It explores their impact on the cryptoasset market, strategies of central and commercial banks, payment systems and risk management.

The adoption of CBDCs, regulated stablecoins and tokenized traditional assets is expected to grow rapidly in the coming years. It raises concerns about secure storage, cross-border transfers and required investments. Central banks are likely to introduce CBDCs and authorize stablecoin issuance, aiming for efficient monetary policies and risk management. Basel III regulations may lead to asset tokenization by banks, reducing asset size and increasing fee-based income.

This paper provides insights into the potential impact of the Basel Committee's regulations on CBDCs, regulated stablecoins and tokenized traditional assets. It contributes to the understanding of the evolving cryptoasset market and the strategies of central and commercial banks in adopting these technologies. The findings offer valuable information for policymakers, regulators and market participants in navigating the changing landscape of digital assets.

This study aims to examine the tail connectedness between the Chinese and Association of Southeast Asian Nations (ASEAN) stock markets. More specifically, the authors measure the return spillovers at three quantile levels: median (t = 0.5), lower extreme (t = 0.05) and upper extreme (t = 0.95). The connectedness at extreme upper and lower quantiles provides insightful information to investors regarding tail risk propagation, which ultimately suggests that investors adjust their portfolios according to the extreme bullish and bearish market conditions.

The authors employ the quantile connectedness approach of Ando et al. (2022) to examine the quantile transmission mechanism among the ASEAN and Chinese stock markets.

The results show significant evidence of a higher level of connectedness between Chinese and ASEAN stock markets at extreme upper and lower quantiles compared to the median quantiles, which suggests the use of a quantile-based connectedness approach instead of an average-measure-based one. Furthermore, the time-varying connectedness analysis shows that the total spillovers reach the highest peaks during the global financial crisis, the Chinese stock market crash and the COVID-19 pandemic at the upper, lower and median quantiles. Finally, the static and dynamic pairwise spillovers between the Chinese and ASEAN markets vary over quantiles as well.

This study is the first attempt to examine quantile vector autoregression (VAR)-based return spillovers between China and ASEAN stock markets during different market statuses. Besides, the COVID-19 has intensified the uncertainty in Asian countries, mainly China and ASEAN economies.

Mega-infrastructure development plans pave the way for policies to upgrade the infrastructure, environmental management and different aspects of locals’ well-being. These developmental dynamics can positively affect rural tourism including heritage sites destinations. The quality of life of local people can be linked to this positive developmental change through long-term and sustainable economic revitalization projects. In terms of this process, developing large-scale infrastructure and incorporating tourism sustainability can improve the quality of life-related to different dimensions that are critical to the community's well-being. Therefore, researchers have attempted to address this issue.

Data were collected between September and October 2020. The study sample size was the residents of Zhabagly village, including Zhabagaly, Abaiyl and 115 Railway settlements. Moreover, the residents were older than 18 years. A systematic random sampling technique was utilised to reach the targeted sample size and the researchers received 243 responses from the locals. Structural equation modelling (SEM) was used for analysis.

The findings from the structural equation modelling suggest that sustainable tourism increases due to the positive effect of mega-infrastructure development and positively impacts the locals' quality of life. Notably, no direct effect of mega-infrastructure development on quality of life reveals the pivotal role of sustainable tourism. Therefore, during the COVID-19 period, the dimensions of sustainable tourism – economic, market, socio-cultural and environmental – played a role in securing the positive impact of mega-infrastructure development on the locals’ quality of life.

This research highlighted the fact that when infrastructure projects are implemented to their full potential, they will generate sustainable tourism activities, provide eco-adventure activities, relax, treat signatories and boost the economy of all stakeholders. The study used AMOS to test the hypotheses. Qualitative research methods, including interviews with citizens, government officials and tourism managers, require further study.

The infrastructural development on a mega-scale means building an upscaling tourism ecosystem. This ecosystem is marked by the availability of drinking water, waste and energy management facilities that support the elevation of living material, community, health, safety and emotional well-being. It reflects the policy-level implications for future Belt and Road initiatives (BRIs). The tourism industry's resilience during COVID-19 has practical lessons for other industries.

Large-scale infrastructure construction must create favourable conditions for the rapid development of tourism. The availability of clean water, waste and energy management facilities contributes to the food production, social cohesion, physical and mental health and general well-being of the ecosystem. This is one of the few studies that used sustainable tourism as a mediator between the impact of large infrastructure projects and their impact on the quality of life of locals during the COVID-19 pandemic. Aksu-Zhabagly, a World Heritage Site in Kazakhstan, was the site of this field study.

In the context of macroeconomic fluctuations and uncertainty in policy changes, it is essential to understand how companies adapt their environmental strategies and marketing tactics to ensure survival and growth. This study, therefore, examines the impact of perceived economic policy uncertainty on corporate greenwashing.

Based on panel data from listed companies on the Chinese A-share market between 2013 and 2022, this paper employs a high-dimensional fixed effects model to explore the impact of perceived economic policy uncertainty (PEPU) on corporate greenwashing behavior.

The results show that higher PEPU increases greenwashing, with agency costs and investor sentiment mediating the relationship. Corporate credit availability and managerial short-sightedness positively moderate this effect. Heterogeneity analysis reveals that non-state-owned enterprises in central and western regions, particularly those with weak environmental regulation and high pollution, are most impacted by PEPU.

This paper provides practical guidance for how to avoid the phenomenon of green reshuffle in economic and environmental policies and encourages enterprises to take more real and effective environmental protection measures.

These findings highlight the importance of considering corporate responses to policy uncertainty when formulating economic and environmental policies. They provide valuable insights for emerging economies in fostering genuine corporate environmental behavior and promoting sustainable development.

The purpose of this study is to examine knowledge management (KM) infrastructure and processes on automobile manufacturing firm innovative performance through the mediating role of agile project management (APM) practice.

The data collection involved purposive and convenience sampling techniques to gather information from 692 employees employed in various public and private automobile manufacturing firms operating in Pakistan. To test the hypothesis, data analysis was conducted using Smart PLS software version 4, using the partial least squares and structural equation modeling technique.

The result revealed that knowledge management infrastructure and processes has a positive and significant effect on firm innovative performance. Moreover, agile project management practices positively and significantly mediate the relationship between knowledge management infrastructure and processes and firm innovative performance.

The performance of high-tech automobile manufacturing firms can be enhanced by implementing agile project management practices, especially when stimulated by external factors such as innovation. In an increasingly dynamic environment, innovation acts as a favorable factor that amplifies the positive impact of agile methodologies on firm performance.

Researchers can use these findings to identify knowledge gaps that need to be addressed in future studies and understand how strategies relate to processes within the KM-APM framework. This study provides practitioners with insights on applying KM practices in an APM context to enhance knowledge performance. Practitioners can use the framework to plan KM activities that support corporate strategy across all organizational layers, ensuring the appropriate knowledge is conveyed at each level.

This study examines the dynamic capability and resource-based view theories in the context of the tourism and hospitality industry, examining how the green dynamic capabilities of firms interact with green marketing strategies to influence their level of green competitive advantage under the boundary condition of the green organizational culture of Saudi Arabia’s tourism and hospitality sector.

Using multi-sourced and three-wave time-lagged data from 136 managers and their subordinates within the Saudi Arabian tourism industry to test the hypotheses.

The results reveal that all hypotheses were accepted, affirming the direct, mediating, moderating and moderated mediating associations among green dynamic capabilities, green marketing strategies, green organizational culture and green competitive advantage.

This study offers valuable insights for practitioners and policymakers seeking to enhance the sustainability performance and competitive advantage of firms in the ever-evolving tourism sector.

This paper analyses the role of green human resources management (GHRM) practices on the application of logistics social responsibility (LSR) practices and examines the moderating effect of big data analytics (BDA) utilisation levels within these relationships.

Based on quantitative research methodology using survey data from 404 managers in the logistics service providers (LSPs) industry in the Philippines, PLS-SEM technique was used to test hypotheses formulated in this research.

Empirical results achieved suggest that GHRM practices have a significant positive impact on LSR. Among all individual GHRM practices, green training and development did not have any influence on LSR. While the results also revealed that BDA assimilation acts as a moderator of the relationship between GHRM and LSR, no support was found for the moderation effect of BDA acceptance or adoption on this relationship.

The study fills a gap in the logistics literature by introducing dynamic capabilities theory to the nexus between GHRM and SLR for the first time, which reveals previously unknown answers on effects of GHRM practices on LSR. The study also introduces BDA assimilation as an important moderator that can strengthen positive impact of GHRM on LSR.