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Organizations' technological management capabilities (TMC) have emerged as a powerful tool to enable manufacturing firms to deal with environmental issues. This empirical investigation aims to introduce and validate a novel conceptual framework that seeks to uncover the latent relationships among the selected constructs of this study. Organizational TMC could enhance green production (GP) and reinforce the green competitive advantage (GCA) among manufacturing firms. Therefore, this research investigates the role of TMC of firms such as artificial intelligence capability (AIC), big data analytics capability (BDAC) and Internet of things capability (IOTC) in reshaping green innovation (RGI), employee development (ED), GP and GCA.

The Partial Least Squares-Structural Equation Modeling was proposed to test and validate this research’s conceptual model using 463 valid responses from manufacturing under the China–Pakistan Economic Corridor (CPEC) umbrella.

Our statistical findings confirmed that TMCs such as AIC, BDAC and IOTC supported the GP and CGA. ED and RGI positively correlated to GP. The hypotheses testing results also confirmed the mediating role of ED, RGI and GP and the moderating role of green firm innovativeness capability (GFIC) in the underdeveloped context of the manufacturing industry under the CPEC.

Moreover, the statistical findings of this study extend the existing literature by validating the possible direct, indirect/mediation and indirect/moderation relationship between TMC and GCA.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

This review aims to investigate the impact of Industry 4.0 on talent development, emphasizing the need to redefine talent for the future of work. By exploring the evolving job requirements, the research seeks to map the competencies essential for success in Industry 4.0 and provide insights for developing talent to stay competitive in the digital era.

The review uses a comprehensive literature review to systematically trace the evolution of talent and identify the evolving competencies needed for Industry 4.0. Drawing upon established theoretical frameworks of resource-based view, human capital theory and organizational learning theory, this review identifies key factors influencing talent development and Industry 4.0 competencies.

The findings reveal that the emergence of automated technologies has altered the traditional understanding of jobs and highlights the importance of talent development aligned with Industry 4.0. By investing in developing Industry 4.0 competencies, organizations empower employees to navigate change and remain competitive. Effective talent management strategies contribute to retaining talented individuals and achieving sustainable competitive advantage for organizations.

This study has implications for educational institutions in guiding their curriculum, for organizations to identify the skills and talents necessary to adapt to Industry 4.0 and for the government to inform policy changes that contribute to the global economy and promote a skilled workforce.

This research contributes to the existing literature by comprehensively examining talent in the context of Industry 4.0. It offers a nuanced understanding of the role of talent management in the intersection of talent, competencies and changing technologies in future-proofing organizations.

Small and medium enterprises (SMEs) are engines of economic growth. Research indicates that the adoption of green procurement practices (GPPs) significantly influences the sustainable growth of SMEs. However, there is a lack of understanding of factors that link the adoption of GPPs with enhanced competitiveness. The purpose of this study is two-fold: first, to identify factors that affect the competitiveness of SMEs caused by adopting GPPs, and second, to test those factors whether they serve as necessary conditions in achieving that competitiveness.

A quantitative approach was used to survey 188 manufacturing SMEs in Pakistan. Cross-sectional data was collected through online questionnaires and analyzed using structural equation modelling (PLS-SEM) and necessary condition analysis (NCA).

Results indicate a less pronounced direct association between the adoption of GPPs and firm competitiveness. However, this association becomes strongly positive with the mediating roles of SSB and GI. On the other hand, NCA results reveal that the adoption of GPPs, SSB and GI acts as necessary conditions for achieving firm competitiveness.

This research highlights the fact that simply adopting GPPs is not sufficient to guarantee true competitiveness; a multifaceted approach is required. Moreover, it offers practical insights into effective planning of green investments leading to sustainable development.

Various practical measures can be adopted to manage the social outcomes of investment in the adoption of GPPs by SMEs.

This study relates and contributes to the natural resource-based view (NRBV) theory, the stakeholder theory and the necessity theory by developing a novel analytical framework.

This study rigorously examines the complex interplay between entrepreneurial risk-taking and the achievement of sustainable development goals 1 and 2, which focus on eradicating poverty and hunger, respectively. By conducting a comprehensive review of existing literature and empirical data, the research aims to unravel the direct impact of risk-oriented entrepreneurial activities on poverty and hunger alleviation. Moreover, it seeks to investigate the moderating role of democratic governance in shaping these effects within the context of African economies.

By employing a Panel Smooth Transition Regression (PSTR) model and using annual and balanced panel data for 20 African countries over 21 years, we examine a potential regime switching as an original framework in the analysis of the curvilinear relationship between risk-driven entrepreneurial actions and sustainable development goals 1 and 2.

Our empirical results confirm the presence of a specific threshold above which risk-oriented entrepreneurial actions proactively tackle poverty and hunger issues. The results also show that entrepreneurship associated with a good level of democracy is the fair tradeoff toward eradicating extreme poverty and hunger by the 2030th United Nations (UN) deadline.

This study offers novel insights into the role of entrepreneurial risk-taking at the country level in achieving sustainable development goals 1 and 2. It advances research on entrepreneurship and sustainable development by demonstrating how a strong risk culture among entrepreneurs might make regions more developed while building on suitable institutional quality.

The aim of this research is to examine the moderating impact of financial development (FD) on the relationship between remittance inflows and economic growth in 82 developing countries.

This research utilized dynamic panel data estimation, specifically the system generalized method of moment (GMM), on a panel data set comprised of 82 developing economies from 2000 to 2022.

The findings indicate that the interaction of remittances and FD proxies by size and depth creates a substitute effect to reduce economic growth. In contrast, the interaction of remittances and FD proxy by efficiency creates complementarity by attracting remittances that accelerate economic growth. The robustness of the findings is further checked across upper- and lower-middle-income countries, respectively.

This study assists policymakers in attracting remittance inflows through FD and spending them in sustainable, productive ways to boost economic growth in developing economies.

The policymakers should have interactive remittances–FD policies to improve not only economic growth but also the social welfare of the developing economies.

This work contributes significantly to the underexplored literature on the moderating impact of FD on the relationship between remittance inflows and economic growth in the developing countries context. This research utilizes maximum proxies of FD that not only examine the remittance but also investigate how FD various proxies shape the relationship between remittances and economic growth.

This paper employs data from the World Bank to examine the effect of traditional banks on FinTech and financial development in the Southern African Development Community (SADC) region.

The study employs the Generalized Method of Moments (GMM) as the primary data analysis method.

The findings of the study demonstrate a bi-directional relationship between traditional financial institutions and FinTech. Traditional financial institutions are observed to facilitate the adoption of FinTech solutions, whilst the disruptive effects of FinTech incentivize traditional banks to adapt to the changing financial landscape and tailor their service and product offerings to reflect recent technological advancements. Consequently, there exists a positive relationship between traditional financial institutions and financial development in the SADC region.

Our findings suggest the need for market liberalization and enhanced institutional quality controls for policymakers. Traditional banks must adapt their business models and incorporate FinTech solutions to remain competitive and relevant. Collaborative partnerships between traditional banks and FinTech firms have emerged as a practical approach to leverage the strengths of both sectors.

This is one of the first studies to examine the role of traditional financial institutions in FinTech and financial development using GMM in the SADC region.

This paper examines the extreme dependence and asymmetric risk spillovers between crude oil futures and ten US stock sector indices (consumer discretionary, consumer staples, energy, financials, health care, industrials, information technology, materials, telecommunication and utilities) before and during COVID-19 outbreak. This study is based on the rationale that stock sectors exhibit heterogeneity in their response to oil prices depending on whether they are classified as oil-intensive or non-oil-intensive sectors and the possible time variation in the dependence and risk spillover effects.

The authors employ static and dynamic symmetric and asymmetric copula models as well as Conditional Value at Risk (VaR) (CoVaR). Finally, they use robustness tests to validate their results.

Before the COVID-19 pandemic, crude oil returns showed an asymmetric tail dependence with all stock sector returns, except health care and industrials (materials), where an average (symmetric tail) dependence is identified. During the COVID-19 pandemic, crude oil returns exhibit a lower tail dependency with the returns of all stock sectors, except financials and consumer discretionary. Furthermore, there is evidence of downside and upside risk asymmetric spillovers from crude oil to stock sectors and vice versa. Finally, the risk spillovers from stock sectors to crude oil are higher than those from crude oil to stock sectors, and they significantly increase during the pandemic.

There is heterogeneity in the linkages and the asymmetric bidirectional systemic risk between crude oil and US economic sectors during bearish and bullish market conditions; this study is the first to investigate the average and extreme tail dependence and asymmetric spillovers between crude oil and US stock sectors.