The objective of this study was to examine the impact of green supply chain management (GSCM) on sustainable performance (SP) and the mediating role of green knowledge sharing (GKS), green innovation (GI), and big data-driven supply chain (BDDSC) in SMEs of Pakistan as a developing country. Primary data was gathered through adopted questionnaires from SME employees. Four hundred sixty-nine cases were considered for data analysis after data clearing in SPSS version 25. Furthermore, the proposed hypotheses were tested with the help of SmartPLS version 3 through structural equation modeling SEM. Findings revealed all seven direct hypotheses, including GSCM on SP, GKS, GI, and BDDSC and GKS, GI, and BDDSC on SP in SMEs of Pakistan. Moreover, the partial mediation effect of GKS, GI, and BDDSC was also confirmed between GSCM and SP. This study contributes to the context of SMEs in developing countries and recommends findings for future policies and implications at the firm and government levels for better results. Policymakers, SME owners, and managers must support innovation culture, engage their stakeholders, and invest in new products, processes, and business models relevant to addressing environmental and sustainability concerns. Moreover, Pakistan’s government policymakers recognize SMEs’ power to effectively integrate GSCM knowledge sharing, green innovation, GSCM practices, and big data technology into supply chain management.

Despite every one of the upsides of mobile payment services (MPs), they are unutilized by a sizable client base. This paper analyzes the central drivers of utilizing MPs for purchasing purposes from the consumers' point of view in Uzbekistan. Given the Technology Acceptance Model (TAM), the study built up a seven-figure model to uncover the determinants of customers' goals to utilize MPs. 300 respondents in Uzbekistan were selected, and 276 substantial responses were incorporated into the analysis. The structural equation model results applied that customers' goal to utilize MPs for purchasing purposes is impacted by trust, system usefulness, social influence, risk, hedonic motivation, and attitude. The factor, facilitating conditions was not significant interestingly which the most distinct finding of that study is. Considering the findings and discussion, the paper concludes with the notion that mobile payment as a digital innovative financial technology is influenced by most of the factors that mobile operators should look at closely.

Objectives: The objective of this study was to examine the impact of organizational green culture (OGC) on green innovation (GI) and sustainable entrepreneurship practices (SEP), which collectively enhance green performance (GP) in Pakistani food chain sector small and medium enterprises (SMEs). This research investigates how green innovation and sustainable entrepreneurship practices mediate each other towards achieving better green performance. Method: The authors chose deductive quantitative research along with Google Forms-based online surveys to gather data from 239 SMEs using convenience sampling. Structural equation modeling through SmartPLS detected all relationship effects between constructs within the research model. Findings: The study confirms that organizational green culture leads to increased GI and SEP, which in turn contributes to enhanced GP, while SEP operates as the essential mediator between OGC and GP in establishing how cultural values become sustainable practices and environmental improvements. The research merges OGC and innovation aspects with sustainability practices and demonstrates their effects on SMEs through empirical research. Novelty: The research uncovers SEP as a key connection between green culture and performance, which provides business solutions for SMEs that want to merge cultural elements with innovative approaches for sustainability. The research explores green entrepreneurship within emerging markets by demonstrating that developing an organizational green culture leads to creative processes that create sustainable outcomes that enhance environmental results. The paper makes an exceptional contribution by examining two distinct mediators: green innovation and sustainable entrepreneurship practices.

Background: This study aims to empirically test a comprehensive interrelationship between green supply chain management (GSCM), green technology innovation (GTI), waste management (WM), big data analytics capability powered by artificial intelligence (BDAC-AI), and their collective impact on sustainable performance (SP) in organizational contexts. Methods: This study was conducted in Pakistan’s food processing sector. The respondents included 495 managers working in the food processing industry. A structural equation modelling (SEM) approach is used to examine direct and indirect relationships between the variables. The originality of this study lies in integration of the technology acceptance model (TAM) and dynamic capability theory (DCT) to understand sustainable practices in the context of the provided model. Results: This study highlights that GSCM, GTI, WM, and BDAC-AI have positive, strong, and direct impacts on SP. Furthermore, GTI and WM only partially mediate the link between GSCM and SP, whereas the two moderate the link. In addition, BDAC-AI had a moderating effect on the relationship between GTI and SP. This study has managerial implications, including strategies that involve the use of theoretical frameworks for technological acceptance and dynamic capabilities to support sustainable initiatives. However, it is worth noting that the findings provide a practical contingency for managers and businesses interested in implementing green studies effectively, improving technologies, and strengthening sustainable performance capabilities. Conclusions: The study extends the literature by establishing a model for operationalizing GSCM in the food processing sector. Furthermore, it adds value in that it first integrates TAM and DCT to explain sustainable operations and their impact on organizations. Furthermore, it extends the existing literature by establishing a relationship between GSCM and SC. It offers a model through which GSCM can be operationalized in the context of the FS sector.

Sustainability has become a strategic imperative for manufacturing SMEs amid increasing environmental regulations and stakeholder expectations. However, existing research offers limited insights into how digital financial innovations, particularly FinTech, contribute to sustainability performance in resource-constrained SMEs contexts. Addressing this gap, the present study investigates the impact of FinTech adoption (FA) on the sustainability performance (SP) of manufacturing SMEs, while exploring the mediating roles of organisational innovation (OI) and green finance (GF). Grounded in the resource-based view (RBV), the study develops a conceptual framework linking digital capabilities with sustainable outcomes. A quantitative research design was employed, and survey data were collected from 340 manufacturing SMEs in Pakistan. Structural equation modelling (SEM) was used to test hypothesised relationships. The results demonstrate that FA significantly improves sustainable performance both directly and indirectly through OI and GF. Furthermore, FA also mediates the relationship between GF and SP, emphasising its role in operationalising sustainable financial flows. This study provides empirical evidence that FA, when strategically integrated with innovation and financial mechanisms, acts as a transformative enabler of sustainability in SMEs. It contributes to theory by extending the RBV to include digital and green financial resources as dynamic capabilities for achieving environmental goals.

This paper investigates the role ofenvironmental and macroeconomic stabilityin achieving sustainable developmentin Pakistan from 1990 to 2022.The objective of this study is to investigate the contagion effects of both ecological and macroeconomic variables on Pakistan's sustainable development, employing the structural VAR methodology. The research addresses an important gap in the literature to jointly analyze macroeconomic stability and environmental sustainability within a unified framework for a developing economy like Pakistan. The need for this study arises from Pakistan’s dual challenges of persistent macroeconomic instability and rising environmental stress, which together threaten progress toward the Sustainable Development Goals (SDGs). Positive energy shocks are strongerth annegative shocks arising from CO2, external debt, and inflationin explicating variation inPakistan’s sustainable development. The study finds that renewable energy consumption has the most significant long-term impact on sustainable development, accounting for 33.83% of the forecast error variance. Overall, 55.50% of sustainable development is predicted by environmental factors,14.66% by macroeconomic variables, and 29.84% by its shock. Such results lead to accepting the hypothesis that ecological and macroeconomic stability significantly affect the sustainable development of Pakistan. In the long run, renewable energy consumption has a positive impact on sustainable development, promoting energy security, supporting economic growth, and maintaining environmental stability. The results of diagnostic tests suggest that the structural VAR approach is specified correctly. This study recommends that all economic policies be designed to highlight the need for comprehensive reforms that align economic stability with environmental resilience to achieve sustainable development. In the context of Pakistan, positive shocks arising from renewable energy consumption demonstrate a stronger influence on variations in sustainable development compared to negative shocks arising from CO₂ emissions, external debt, and inflation. This highlights the central role of energy transitions in achieving sustainability.