Purpose: The purpose of this research is to investigate the implementation of green supply chain management (GSCM) practices and its impact on corporate performance (CP). The research in particular examines the results of implementing a set of GSCM practices on different dimensions of the CP.Design/methodology/approach: This study, being the first of its kind in the Middle East, developed a research model to test the relationship between four main GSCM practices namely, eco-design, green purchasing, environmental cooperation and reverse logistics, and four dimensions of CP: operational performance, environmental performance, economic performance and social performance, while controlling three main variables (firm size, firm age and environment management system certification). Statistical analyses were based on the data collected, through survey questionnaires, from 117 firms in the manufacturing industry in the UAE. Reliability and validity of the research model were tested by the commonly accepted statistical tools. To test the hypotheses relating implementation of GSCM practice and CP, multiple regression analysis was used.Findings: The finding of the study was that GSCM practices impact the CP dimensions differently. While none of the four GSCM practices were found to have any impact on the environmental performance, green purchasing and environmental cooperation were found to have a significant impact on the operational performance. The study found that only green purchasing plays a role in improving the economic performance, while only reverse logistics practices were found to impact the social performance of the firm positively.Research limitations/implications: Research on GSCM is still in the nascent stage. Further refinement of the survey to differentiate between different manufacturing industries might be needed. Generalizability of the findings is also limited because of data collected from manufacturing firms in the UAE. This research provides important insights. The findings of this research are generally consistent with those of prior studies in other parts of the world. Firms in manufacturing industry in the UAE believe that GSCM practices help the company design and develop better products which, in turn, increase the company chances in selling its products in the international markets while, at same time, improving the average profit and market share. It was also found that the UAE firms believe that implementation of GSCM practices help improve the corporate image, enhance employees’ job satisfaction and improve employees’ health and safety.Practical implications: Implementation of GSCM practices improves CP in different ways. Supply chain managers are required to decide on the CP dimension they want to improve and accordingly select the appropriate GSCM practices mix that leads to the desired level of improvement.Originality/value: Although few earlier researches studied the impact of GSCM on CP, this study is different and makes a unique contribution by offering a holistic view of the impact of implementing four main GSCM practices on all dimensions of CP. The study offers some insights on the type of GSCM practices the firm needs to adopt to improve the targeted performance dimension.

This review article summarizes the progress of research on carbon nanomaterial-based lubricants witnessed in recent years. Carbon nanomaterials, such as graphene, carbon nanotubes (CNTs), fullerenes and carbon nanostructures, are at the center of current tribological research on attaining superior lubrication performance. The development of nanomaterial-based solid lubricants, lubricant additives and bulk materials and the related issues in their processing, characterization and applications as well as their tribological performance (coefficient of friction and wear rate) are listed in a structured tabulated form. Firstly, regarding nanomaterial-based solid lubricants, this study reveals that carbon nanomaterials such as graphite, graphene, graphene-based coatings and diamond-like carbon (DLC)-based coatings increase different tribological properties of solid lubricants. Secondly, this study summarizes the influence of graphene, carbon nanotubes, fullerene, carbon nanodiamonds, carbon nano-onions, carbon nanohorns and carbon spheres when they are used as an additive in lubricants. Thirdly, a structured tabulated overview is presented for the use of carbon nanomaterial-reinforced bulk material as lubricants, where graphene, carbon nanotubes and carbon nanodiamonds are used as reinforcement. Additionally, the lubricity mechanism and superlubricity of carbon nanomaterial-based lubricants is also discussed. The impact of carbon nanotubes and graphene on superlubricity is reviewed in detail. It is reported in the literature that graphene is the most prominent and widely used carbon nanomaterial in terms of all four regimes (solid lubricants, lubricating additives, bulk material reinforcement and superlubricity) for superior tribological properties. Furthermore, prospective challenges associated with lubricants based on carbon nanomaterials are identified along with future research directions.

The purpose of this research is to investigate how COVID-19 impacted supply chains and to develop future research directions from thereof. Using a systematic literature review methodology, this study analyzes publications on Google Scholar and Scopus that explored the impact of COVID-19 on supply chains. The research thoroughly reviews and analyzes a total of 95 studies that were found relevant and significant. COVID-19 had a significant impact on supply chains and organizations a like and therefore the study has revealed the following findings. Although some scholars claim that the pandemic revealed the fragility of supply chains, brought many logistical activities to standstill, and completely disrupted markets, but other researchers found that it has also created unlimited opportunities for organizations and industries. This review concluded that extant of literature falls into four themes; those who believe that COVID-19 was a complete threat, researchers who believe that it was both a threat and opportunity, those who believe it created enormous opportunities and lastly scholars who proposed a model that can help mitigate the impact of the pandemic on supply chains. This study opens the door wide for other researchers to explore how COVID-19 pandemic impacted supply chains positively and negatively across many industries and contexts. The study also provides an easy reference for business managers who are interested in knowing what would be the consequences of such pandemic on their organizations and how to take the right decisions that can help mitigate the many threats while at the same time maximize any opportunities created.

Purpose: This study aims to explore and address critical aspects of IoT adoption within supply chains by identifying the key enablers and barriers, examining the drivers and challenges, and assessing the benefits and drawbacks associated with IoT implementation. Additionally, the study aims to provide insights into how organizations can leverage IoT to enhance supply chain performance across economic, operational, social, and environmental dimensions. Design/methodology/approach: This study employed a systematic literature review strategy to identify relevant research published between 2009 and 2024. Using the Scopus database, an initial search yielded 369 publications. Preliminary selection criteria were then applied to narrow down the articles for further detailed evaluation. This process led to an in-depth review of 123 publications, from which data were meticulously extracted, organized into tables and analyzed. Finally, the authors developed a categorization system based on the scope and temporal aspects of IoT implementation. Findings: This study developed a comprehensive model that identified six themes influencing IoT implementation in supply chains: pre-implementation enablers and barriers, drivers and challenges during implementation, and post-implementation benefits and drawbacks. Recommendations were mapped into four performance dimensions: environmental, social, operational, and economic. The analysis showed that IoT can enhance supply chain risk management, process integration, sustainability, collaboration, resilience, and performance measurement. Key technologies aiding IoT implementation include blockchain, radio frequency identification (RFID), enterprise resource planning (ERP), and cloud computing. Originality/value: This study is one of the few to conduct a comprehensive review of widely cited papers on IoT adoption in supply chains. It systematically summarizes the enablers, barriers, drivers, challenges, benefits, and drawbacks associated with such adoption. Furthermore, it proposes a distinctive model designed to assist organizations in successfully implementing IoT technologies, thereby filling a critical gap in the existing literature.

The supply chain management (SCM) environment is rapidly evolving as a result of the critical role industry 4.0 enablers are playing. Consequently, and to leverage the power of industry 4.0 enablers (I4Es) including; artificial intelligence (AI), machine learning (ML), internet of things (IoT) and big data (BD), researchers and industry practitioners have employed these I4Es to resolve several pain points in supply chain management at all levels, improve operational efficiency, manage demand volatility, tackle cost fluctuations, and make data-driven decisions. Thus, I4Es are working as an evolutionary catalyst for supply chain management in myriads of ways. As such, the application of I4Es in supply chain management (I4Es-in-SCM) research has witnessed tremendous growth over the past years. This study conducted a scientometric analysis and critical review of the I4Es-in-SCM research to monitor trends, visualize the structure of knowledge, identify gaps, and highlight future research avenues. The paper recruited and analysed bibliographic data of 786 papers from Scopus on the application of I4Es-in-SCM research. Analysis showed that the last two decades witnessed a phenomenal growth in research on the application of I4Es-in-SCM, with at least 42 % of all countries making contributions. The analysis showed wider collaboration between countries and noticed a rather significant collaboration among researchers within a given continent. The study also identified the most influential researchers, journals, and countries as well as trending themes and topics in the application of I4Es-in-SCM research. After delineating boundaries of scientific knowledge, the study proffered areas that require further research. The novelty of this study lies in providing a more holistic statistical and visualized analysis of the structure of knowledge, productivity, and scientific collaborations of researchers, journals and countries in the application of I4Es-in-SCM management research. Accordingly, the study outcomes may serve as a useful reference to supply chain academics, early-stage researchers, practitioners, policymakers, and organizations in understanding the structure of knowledge on the application of I4Es-in-SCM research and may constitute a basis for future research.

Purpose: This study aims to investigate the impact of implementing various robotic systems in logistics and supply chain management on corporate performance in Jordanian manufacturing companies, focusing on environmental, operational, economic, and social dimensions.Design/methodology/approach: Using a quantitative approach, data was collected through a survey questionnaire to measure the relationship between robotic systems and several performance dimensions. Various established constructs were employed, and the structural relationships were analyzed using partial least squares structural equation modeling (PLS-SEM) to assess the complex interdependencies within the model.Findings: The results of this study indicate that the adoption of robotic systems has a positive influence on the environmental, operational, economic, and social performance of Jordanian manufacturing companies. In contrast to prior research that revealed inconsistencies in the social dimension, our findings align with previous studies highlighting the benefits of robotics in logistics and supply chain management. However, it’s worth noting that this study did not uncover similar inconsistencies, particularly in terms of the impact on social performance.Practical implications: The study provides valuable insights for manufacturing companies considering the implementation of robotic systems, highlighting the need to evaluate the environmental, operational, social, and economic consequences. This understanding can help organizations make informed decisions to leverage the benefits of robotics for sustainable growth.Originality/value: This study contributes to the growing literature on robotics in logistics and supply chain management, specifically focusing on the unique context of Jordanian manufacturing companies. By examining the multifaceted impact of robotic systems, this study extends the understanding of the role of technology in enhancing corporate performance.