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The global emphasis on sustainability is driving organizations to embrace financial technology (Fintech) solutions as a means of enhancing their sustainable performance. This study seeks to unveil the intermediary role played by green finance and competitiveness, along with the moderating impact of digital transformation (DT), in the intricate relationship between Fintech adoption and sustainable performance.

Drawing on existing literature, we construct a comprehensive conceptual framework to thoroughly analyse these interconnected variables. To empirical validate of our model, a dual structural equation modelling–artificial neural network) SEM–ANN approach was employed, adding a robust layer of validation to our study’s proposed framework. A sample of 438 banking employees in Pakistan was collected using a simple random sampling technique, with 411 samples deemed suitable for subsequent analysis. Initially, data scrutiny and hypothesis testing were carried out using Smart-PLS 4.0 and SPSS-23. Subsequently, the ANN technique was utilized to assess the importance of exogenous factors in forecasting endogenous factors.

The findings from this research underscore the direct and significant influence of Fintech adoption and DT on the sustainable performance of banks. Notably, green finance and competitiveness emerge as pivotal mediators, bridging the gap between Fintech adoption and sustainable performance. Moreover, DT emerges as a critical moderator, shaping the relationships between Fintech adoption and both green finance and competitiveness. The integration of the ANN approach enhances the SEM analysis, providing deeper insights and a more comprehensive understanding of the subject matter.

This study contributes to the enhanced comprehension of Fintech, green finance, competitiveness, DT and the sustainable performance of banks. Recognizing the importance of amalgamating Fintech adoption, green finance and transformational leadership becomes essential for elevating the sustainable performance of banks. The insights garnered from this study hold valuable implications for policymakers, practitioners and scholars aiming to enhance the sustainable performance of banks within the competitive business landscape.

The purpose of this study is to assess the effect of supply chain (SC) partnerships on sustainable performance (SP) and investigate the potential mediating role of total quality management (TQM).

A total of 185 responses were collected from pharmaceutical industry employees. The research data were analyzed using the partial least squares structural equation modeling approach.

The results reveal that relationships with suppliers (RS), distributors (RD) and intermediaries (RI) have a direct impact on SP. In addition, this study found that TQM serves as a mediator between RS, RD, RI and SP. This study enhances the understanding of the significance of TQM, SC and SP in business environment development. The findings suggest that organizations in the Jordanian pharmaceutical industry should prioritize the enhancement of their RS, intermediaries and distributors to improve their SP.

By providing decision-makers with valuable information, this study enables them to identify and implement TQM and SC practices to enhance the SP of pharmaceutical companies in Jordan.

Considering the vital role of higher education institutions (HEIs) in accomplishing sustainable development goals, this study aims to examine how and when sustainable leadership (SL) influences sustainable performance by examining social innovation (SI) as a mediating mechanism and managerial discretion (MD) as a boundary condition based on upper echelon theory.

This study is cross-sectional in nature. The authors adopted a cluster-sampling approach to collect data from 500 employees of HEIs in Pakistan and China. The response rate for this study was 52.63%. As the proposed model is complex, the authors used structural equation modeling (SEM) to analyze the research hypothesis.

The empirical findings confirm the presence of SI as a competitive partial mediator between SL and sustainable performance. Nevertheless, the findings of this study do not suggest a higher positive effect of SL on SI in the presence of high MD.

The study evaluated the role of SL and SI in fostering sustainable performance from the perspective of employees in HEIs in China and Pakistan. Before the empirical evidence can be generalized, there is a need to conduct similar studies in other parts of Asia and Western countries as well.

This study presents implications for higher education leaders and policymakers at the national level to foster the sustainable performance of their institutions.

The current evidence reveals the effectiveness of SL in achieving the social goals of HEIs through SI. The recommendations presented in this study can have an impact on society, providing it with a sustainable future.

This study is the first of its kind to examine the mediating role of SI on the relationship between SL and sustainable performance. The present study also provides pioneering empirical evidence about the negative effects of MD in the context of HEIs.

This paper aims to examine the mechanism of how circular economy practices (CEP) and circular economy entrepreneurship (CEE) promote sustainable supply chain management (SCM) and facilitate sustainable performance (SP) for small and medium-sized enterprises (SMEs) in the food value chain in emerging economy. In this context, this mechanism involves the mediating role of sustainable SCM in the relationship between CEP and SP. Simultaneously, it involves the moderating role of CEE in the link between CEP and sustainable SCM.

The paper follows a quantitative approach. Based on systematic literature review on the field, the nexus amongst the constructs were proposed. The Smart partial least square (PLS) version 3.3.2 was employed to analyze structural equation modeling (SEM) to investigate the relationships between constructs and latent variables. There were 457 valid responses obtained from the survey participants, those are managers at senior and middle levels. The data collected was then used for quantitative analysis and assessment.

The main finding of this study is twofold. First, it sheds light on how CEE associates in strengthening the influence of CEP on sustainable SCM. By this way, the better the CEE, the stronger the impact of the CEP on the sustainable SCM, leading to long-term sustainability. Second, it reveals how sustainable SCM mediates the link between CEP and SP. By this way, the better the CEP, the more the SCM is sustainable, ultimately leading to SP. This contribution is paramount because experimental research on this mechanism has not been intensively explored in the current literature.

The originality of this study is the provision of scientific knowledge and practical mechanisms for the introduction and application of CEP to business behaviors and practices in a real-world context that exists as a research gap in the current literature. In this respect, this study contributes to expanding the existing literature in the field by providing empirical evidence for the mechanism as stated. Furthermore, it provides a practical mechanism for SMEs in given context to enable them apply efficiently the circular economy perspective to their businesses to help them achieve SP. These contributions may be of interest to business practitioners, business leaders, academics and policymakers in the areas that are of their concerns.

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 examine the role of big data analytics (BDA) powered by artificial intelligence (AI) in improving sustainable performance (SP) through green supply chain collaboration (GSCC), sustainable manufacturing (SM) and environmental process integration (EPI).

Data was collected from 249 supply chain professionals working at various manufacturing firms, and hypotheses were tested through a quantitative method using PLS-SEM with the help of SmartPLS version 4 to validate the measurement model.

This study identified that BDA-AI significantly and positively affects GSCC, SM and EPI. Similarly, the results showed that GSCC significantly and positively affects SP. At the same time, SM and EPI have an insignificant effect on SP. The GSCC found a significant relationship between BDA-AI and SP for mediation. However, SM and environmental performance integration did not mediate the relationship between BDA and AI and SP.

This research evaluated a second-order model and tested SP in conjunction with the dynamic capability theory in the manufacturing industry of Pakistan. Therefore, this research could be beneficial for researchers, manufacturers and policymakers to attain sustainable goals by implementing the BDA-AI in the supply chain.

The purpose of this study is to investigate the connections between the regulatory governance, human capital, stakeholder orientation, management control systems (MCSs) and sustainable performance (SP) of power companies. The authors especially looked at how much regulatory governance, human capital, stakeholder orientation and MCSs affect the SP across power companies in Uganda.

This is a cross-sectional and correlational study. Data were collected from 105 power companies using a questionnaire and analysed using SPSS.

Stakeholder orientation, MCSs, human capital and regulatory governance significantly predict variances in the SP of power providers in Uganda. Stakeholder orientation is the most important predictor of SP of power companies.

The absence of validation from important stakeholders and the major reliance on company-provided data in existing research on SP raises the possibility of self-desirability bias. To evaluate and verify the information supplied by firms with external stakeholders, further studies might consider using an explanatory mixed methods technique, in which quantitative data are initially gathered from the managers of power companies and analysed and then validated by interviews with important stakeholders.

Using stakeholder, legitimacy and resource-based theories has provided a better explanation for SP which is a multi-dimensional notion. Moreover, the study adds to the body of perception-based research that offers direct management incentives for SP. The perspectives of managers have been gathered through the use of self-administered questionnaires to gather impressions of managers of businesses, which has helped to tap into all aspects of SP. The study’s results offer, probably for the first time to the best of the authors’ knowledge, evidence of the contextual elements that affect SP in African nations like Uganda particularly in the power sector.

The purpose of this study is to investigate the relationship between organizational learning (OL) and business sustainability (BS) and to carry out its empirical examination.

Extensive literature research was carried out. Then, an empirical study was conducted in 694 Polish and Danish companies. Two phenomena related to OL were adopted: OL processes and organizational learning capability (OLC). BS was examined through the concept of sustainable performance (SP). Research models were tested using structural equation modeling.

The empirical studies have shown a positive, statistically significant relationship between OL and BS. The research supports the view that the intensification of the OL processes is substantial for BS, whereas the OLC concept is less relevant to the development of BS. The effect of OL on total SP was stronger than on any SP dimension. OL supports the synergies of the results obtained by the organization for the benefit of BS.

The model verification is based on the samples from two countries, and, therefore, the hypothesis requires further verification in different business contexts. In addition, there are different factors influencing BS, which have not been included in the research and should be analyzed in the future.

An in-depth, critical literature analysis shows that the theoretical foundation of the role of OL in shaping BS is fragmented and poorly empirically verified. The value of this paper is the presentation of large-scale empirical studies comparing the relationship between BS and two phenomena: OLC and the OL processes. The results obtained in the course of the research open up new research directions with respect to both the relationship between OL and BS as well as between OL and organizational performance.

This article examines the mechanisms through which big data analytics capabilities (BDAC) contribute to creating sustainable value and analyzes the mediating roles that supply chain management capabilities (SCMC), as well as circular economy practices (CEP), play through their impact on sustainable performance.

Following a literature review, a serial mediation model is presented. Hypotheses regarding direct and mediating relationships are tested to determine their potential for sustainability impact and circularity. Partial least squares structural equation modeling (PLS-SEM) has been applied for causal and predictive purposes.

The results indicate that big data analytics capabilities do not have a direct positive impact on sustainable performance but influence indirectly through SCMC and CEP.

Although some authors have addressed the associations between IT business value, supply chain (SC), and sustainability, this paper provides empirical evidence related to these relationships. Additionally, this study performs novel predictive analyses.

Sustainable management has become a strategic and popular requirement for stakeholders, as the ability to create competitive advantages in the current dynamic business environment and the pressures of digital transformation need to be increased attention in achieving the highest level of sustainable performance. The main objective of this paper is to explore the direct effects of the industrial Internet of things and supply chain visibility on sustainable performance (economic performance, environmental performance and social performance), in addition to evaluating the indirect effects that supply chain visibility plays in these relationships.

To achieve the purposes and objectives of this work, a conceptual model was developed by referring to the current works in the literature, and the theoretical model was developed, and then data were collected through the questionnaire and by the snowball sampling method, as 380 questionnaires were used. In the data analysis, the multivariate analysis technique was used via Covariance-based Structural Equation Modeling (CB-SEM), as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model.

The results reached the acceptance of all hypotheses, and this means that all hypothesized relationships were positive, as the impact of the industrial Internet of things was positive on each of the supply chain visibility and economic performance, environmental performance and social performance, and also the supply chain visibility mediated the relationship between each of the industrial Internet of things and economic performance, environmental performance and social performance.

The current paper reported a range of theoretical and practical contributions, as this study is the first to examine these hypothesized relationships together in this way and thus helped this study to develop new perceptions about Industry 4.0 technologies and their potential impacts on supply chain and sustainable performance. Also, this study had a variety of management recommendations that allow managers of pharmaceutical manufacturing companies operating in Jordan to develop their technological capabilities and use them to enhance sustainable performance.