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The aim of this study is to investigate how green supply chain management (GSCM) practices mediate the effect of Industry 4.0 technologies on operational and green innovation performances.

To explore the study, data were collected from 225 different manufacturing industries in Pakistan. Gathered data were used to test the hypotheses using SmartPLS 3 software by using structural equation modeling.

The findings reveal that operational and green innovation performances are directly affected by the adoption of Industry 4.0 technologies and GSCM practices. Furthermore, the GSCM practices positively affect operational and green innovation performances. The study also investigated that the GSCM practices partially mediate the effect of Industry 4.0 on operational and green innovation performances.

This study has some limitations, the data of this study were majorly collected from large enterprises of Pakistani firms and related to the manufacturing sector only. So, there is a huge need for attention toward small and medium-sized enterprises (SMEs). Very few researchers are focusing on SMEs, so future research can be on SMEs. It can be suggested that the relationship between digital technologies and green innovation performance can be tested through a quantitative procedure. Moreover, the effect of GSCM's aspects can be estimated on manageable execution.

Through the mediating relationship of GSCM practices, this research has made a unique contribution by investigating the influence of Industry 4.0 on operational and green innovation performances. To the author's knowledge, no research has been undertaken in this area.

Growing emphasis on long-term viability prompts researchers and industry professionals to collaborate on innovative approaches for sustainability and survival. Industry 4.0 (I4.0) technology's importance drives active adoption by firms amidst evolving business dynamics. This research examines the influence of I4.0 technologies on lean, agile resilient and green practices and their impact on supply chain performance.

Survey data from Pakistani manufacturing enterprises were analyzed using SMART PLS to explore the relationship between I4.0 technology, supply chain practices and supply chain performance.

I4.0 technologies significantly impact all practices, while agile and resilient supply chain approaches partially mediate the relationship with supply chain performance.

Insights from this research guide policymakers and business experts in implementing and managing lean, agile, resilient and green practices. Integrating these principles with digital technology solutions enhances supply chain performance.

This study advances understanding of the interplay between I4.0 technologies, practices and supply chain performance, providing a basis for further research and practical implications.

This paper explores whether fintech paves the way for the transition to carbon neutrality in the context of China’s climate policy uncertainty (CCPU) and the influence of the ocean carbon sink market.

We apply a novel wavelet analysis technique to investigate the time-frequency dependence between the CCPU index, the CSI (China Securities Index) Fintech Theme Index (CFTI) and the Carbon Neutral Concept Index (CNCI).

The empirical results show that CCPU and CFTI have a detrimental effect on CNCI in high-frequency bands. Furthermore, in low-frequency domains, the development of CFTI can effectively promote the realization of carbon neutrality.

Our findings show that information from the CCPU and CFTI can be utilized to forecast the movement of CNCI. Therefore, the government should strike a balance between fintech development and environmental regulation and, hence, promote the use of renewable energy to reduce carbon emissions, facilitating the orderly and regular development of the ocean carbon sink market.

The development of high-quality fintech and positive climate policy reforms are crucial for achieving carbon neutrality targets and promoting the growth of the marine carbon sink market.

Supply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.

The study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.

The results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.

This study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.

This research aims to investigate the influence of green human resource management (HRM), with analysis and description of job position, recruitment, selection, training, performance assessment and rewards on sustainability with the resource-based view (RBV) theory as underlying theory. The extent to which absorptive capacity strengthened the “green HRM-sustainability” link as a buffering mechanism was also examined.

The study model was tested with empirical data gathered from 253 Indonesian oil and gas firms. The elicited data were analysed using structural equation modelling using partial least squares (PLS).

Resultantly, the (i) analysis and description of job position and (ii) recruitment positively influenced sustainability. Absorptive capacity also influenced the strength of the moderated relationship between (i) recruitment and (ii) training and sustainability.

As far as we know, this is the first study which assigned the moderator role of absorptive capacity in a relationship between green HRM and sustainability in oil and gas firms in Indonesia. Notably, the theoretical and practical implications of applying the empirical outcomes to the oil and gas sector were extensively discussed.

Due to excessive carbon dioxide emissions, the world is facing environmental devastation. Energy and environmental innovations are considered to be critical tools in combating the growing CO₂ emissions. Developing these innovations requires extremely high investments in research and development processes, where knowledge is generated as one of the important outputs. This knowledge serves as a basis for innovation development and raising awareness among all relevant stakeholders about excessive environmental degradation. One of the significant sources of knowledge is scientific publications. Therefore, the aim of this research is to examine whether increased CO₂ emissions stimulate the scientific community to publish a greater number of papers, as well as whether the knowledge contained in these publications is utilized in reducing CO₂ emissions. The sample consists of G7 member countries. The time frame of the research is 1996–2019. The dynamic properties of the vector autoregression (VAR) models were summarized using impulse response function and variance decomposition forecast error. In most G7 countries, it has been determined that an increase in scientific production in environmental science and energy leads to a reduction in CO₂ emissions. On the other hand, increased CO₂ emissions affect higher scientific productivity in environmental science and energy only in Canada.

Over the last two decades, green supply chain management (GSCM) has enabled businesses to operate in an environmentally friendly manner. The present review examines 234 research articles and proposes a methodical literature review on GSCM, focusing on the aspects of sustainable development.

The work examines conceptual, analytical, empirical and non-empirical research articles, analyzing at all levels of the organization, such as firm, dyad, supply chain and network. The objective of the review is to provide insights into the state and scope of existing research in the domain of GSCM, to identify the prevalence of GSCM and to consolidate the trend of future research. The literature review follows a systematic methodology for analyzing the literature.

The findings can support researchers in identifying research areas with significant impact and streamline research on GSCM in the future. Practitioners can utilize this structured classification to strategize their green initiatives in their firms.

The work contributes to providing literature that explores a detailed review in GSCM. The proposed literature review captures critical aspects in the domain of GSCM and offers future research directions.

The manufacturing industry in Pakistan, like any other industry, promotes sustainability in its supply chain operations. Yet, the scenario is different in the chemical manufacturing sector, which lags in the development and implementation of sustainable development practices and policies to safeguard its long-term viability. Embracing sustainable practices not only fulfills manufacturing needs but also stands out from other companies. Hence, the purpose of this study is to explore the eco-friendly business practices that impact corporate innovation. Organizational size is considered a moderator in the relationship between green practices and corporate innovation.

The quantitative study was conducted to collect the data through convenience sampling techniques. In total, 138 responses were analyzed through the partial least squares method.

The findings reveal that the implementation of green practices increases corporate innovation. Thus, the impact varies based on different organizational sizes. The crux of the organizational strategy relies on the implementation of eco-friendly practices and holding the right size to survive.

The proposed study provides new grounds for the natural resource-based perspective theory and stakeholder theory. Chemical manufacturers can tailor their strategies that accommodate varying resources and capabilities, facilitating more effective implementation of green practices across different companies within the sector.

The paper provides new ground for the natural resource-based perspective theory. More specifically, this study was expected to help chemical manufacturers choose environmentally friendly practices that would help them meet corporate sustainability performance goals through innovation.

Supply chain (SC) research has boomed over the past two decades. Significant contributions have been made to the field from various analytical and decision-making perspectives. This paper, a comprehensive bibliometric study, aims to identify the key research contributors, institutions and themes.

A comprehensive knowledge domain visualization of over 1,000 articles, published between 2000 and 2022, is carried out to construct a bird’s eye view of the field in terms of research production, key authors, main publication outlets, geographic disparity of the contributions and emerging research trends. Additionally, collaboration patterns among researchers and institutions are mapped to highlight the communication networks underlying research initiatives.

Results show an explosive growth in the number of articles tackling supply chain optimization (SCO) issues with a significant concentration of the contributions in a relatively small cluster of authors, journals, institutions and countries. Among the many important findings, our analysis indicates that mixed-integer linear programming is the most commonly used model, while robust optimization is the method of choice for handling uncertainty. Furthermore, most SC models are developed at only one level of the organizational hierarchy and consider only one planning horizon. The importance of developing integrated SCO systems is key for future research.

The study fills the optimization techniques gap that exists in SC management bibliometric studies and presents a thematic map for the SCO research highlighting the various research foci.

Driven by the Sustainable Development Goals (goals 7, 8, 12 and 13), this study investigates the moderating role of financial development in the link between energy poverty and a sustainable environment in African nations.

Panel cointegration analysis, fully modified least squares, Driscoll and Kraay least squares and method of moments quantile regression were used as estimation techniques to examine the link between financial development, energy poverty and sustainable environment for 28 African nations. Energy poverty is measured using two proxies-access to clean energy and access to electricity, while the environment is gauged using ecological footprint.

The regression outcomes show that access to clean energy and electricity negatively impacts the ecological footprint across all the quantiles; hence, energy poverty increases environmental degradation. Financial development positively influences environmental degradation in the region at the upper quantiles. Similarly, the interactive term of energy poverty and financial development has a significant positive impact on ecological footprint; thus, the financial sector adds to energy poverty and environmental degradation. The results of other variables hint that per capita income and institutions worsen environmental quality while urbanisation strengthens the environment.

This study offers fresh insights into the moderating effect of financial development in the link between energy poverty and sustainable environment in African countries.