Mapping green technologies literature published between 1995 and 2019: a scientometric review from the perspective of the manufacturing industry

Green manufacturing for achieving carbon neutrality goal requires innovative technologies: A bibliometric analysis from 1991 to 2022

Recent years have seen a significant increase in interest in green manufacturing as a key driver of global carbon-neutral efforts and sustainable development. To find the research hotspots of green manufacturing and reveal future research trends, this study reviewed and analyzed research articles from the Web of Science database on green manufacturing from 1991 to 2022 using a bibliometric method. The findings indicate a significant rise in the number of articles related to green manufacturing since the 2010s. Moreover, there has been an increase in the involvement of scholars from developing countries such as China and India in this field. Based on the literature review and bibliometric cluster analysis on green manufacturing, we believed that future research may continue following the lines of intelligent technology integration, adoption of frontier engineering techniques, and industry development in line with carbon reduction targets. A framework for future green manufacturing development is proposed, with a focus on Chinese policies. The framework could provide policy implications for developing countries looking to pursue opportunities for development in green manufacturing.

Green construction practices and economic performance: The mediating role of social performance and environmental performance

Currently, there is a surge in the adoption of green construction practices (GCP) to address and attempt to alleviate the adverse effects of construction activities on the natural environment. The current research surrounding sustainability in the industry has witnessed a notable surge in efforts, primarily driven by a growing consciousness of environmental concerns. In this context, it is worth noting that the focus of assessment schemes in developed countries has predominantly gravitated toward economic and environmental factors, with relatively less emphasis placed on social performance (SP). Many researchers have underscored this disparity, highlighting the need for a more comprehensive approach encompassing all three sustainability dimensions. Hence, the present research examines the effects of green construction practices on economic performance (ECP) while considering the mediating role of environmental performance (EP) and SP. The results showed no direct impact of GCP on ECP. However, the mediating role of SP and EP in the association between GCP and ECP was found to be statistically significant. The present study provides several implications. This study presents empirical evidence that implementing GCP yields several benefits for contractors, including cost reduction in waste management, legal expenses, and energy consumption. These cost savings effectively offset the initial investment required to implement GCP, enabling construction projects to attain ECP thresholds. This study provides a significant contribution to the expanding corpus of knowledge concerning green building site practices and construction management. It offers novel insights into the influence of a project's EP and SP on its economic feasibility. Furthermore, this research study has effectively showcased the positive impact of GCP on construction projects' environmental construction performance, particularly concerning environmental and social considerations. Integr Environ Assess Manag 2024;00:1-11. © 2024 SETAC.

Identification and ranking of enablers to green technology adoption for manufacturing firms using an ISM-MICMAC approach

The debate about the adoption of green technologies (GTs) is trending due to increasing environmental concerns across the globe. In the context of the manufacturing industry, the research about enablers to GT adoption while using the ISM-MICMAC approach is scarce. Hence, the empirical analysis of GT enablers is being done in this study using a novel ISM-MICMAC method. Firstly, the research framework is developed by using the ISM-MICMAC methodology. Then, enablers to GTs were extracted from existing studies and validated by experts. Results showed that the most significant enabler to GT adoption is providing incentives for green manufacturers (1) in the ISM model. So, manufacturing firms must take initiatives for GTs to mitigate the negative environmental impact of industrialization without losing their earnings. This research brings substantial empirical scholarship to understand GT enablers and their contribution in GT enabler incorporation in the manufacturing industry of developing economies.

Robust design of a green-responsive closed-loop supply chain network for the ventilator device

This study aims to investigate the closed-loop supply chain network design problem considering the environmental and responsiveness features. For this purpose, a multi-objective mathematical model is suggested that minimizes the carbon emissions and the total costs and maximizes the responsiveness of the system. Due to the dynamic space of the business environment, uncertainty is an integral part of the supply chain problem. Therefore, this research applies the robust possibilistic programming method to cope with uncertainty. Afterwards, since the research problem has a high level of the complexity, a hybrid solution approach based on a heuristic method and the meta-goal programming method is developed to solve the research problem in a reasonable time. Then, due to the importance of the ventilator device during the recent pandemic (COVID-19), this study considers this product as a case study. The main contribution of the current study is to design a green-responsive closed-loop supply chain network under uncertainty using a multi-objective robust possibilistic programming model, for the first time in the literature, especially in the medical devices industry. On the other side, the other contribution of this study is to develop an efficient hybrid solution method. The achieved results demonstrate the efficiency of the offered model and the developed hybrid method. Eventually, by carrying out sensitivity analysis, the impact of some of the critical parameters on the model is investigated. Based on the obtained results, an increase in the demand sizes leads to increasing the environmental damages and the total costs while reducing the responsiveness level. On the other side, an increase in the rate of return leads to an increase in all of the objective functions. Also, the achieved results show that when the capacity parameter is increased, the total costs are decreased, but the responsiveness and environmental impacts are increased.

Triggering sustainable firm performance, supply chain competitive advantage, and green innovation through lean, green, and agile supply chain practices

Due to extensive industrial activities, many environmental challenges have devastated human beings and environmental integrity. Therefore, sustainable supply chain (SC) practices (lean, green, and agile - LGA) gained momentum in the manufacturing industry. Considering the importance of LGA-SC, this study investigates the impact of LGA-SC practices on green innovation (GI), supply chain competitive advantage (SCPA), supply chain responsiveness (SCR), and sustainable firm performance (SFP). Data were collected from employees of the manufacturing industry in China. The proposed conceptual framework was verified by using structural equation modeling. The empirical results indicate that LGA-SC practices are statistically associated with GI, SCR, SCPA, and SFP. Moreover, this research finds that GI and SCR play mediating roles between LGA-SC practices and SCPA. GC positively moderates the relationship between LGA-SC practices and GI, and IP also acts as a strong moderator between GI and SCPA. To the authors' best knowledge, this study is the pioneer to provide insights about a novel framework combing LGA-SC practices, SCPA, and SFP with mediating role of GI and moderating role of GI and IP. This study supports managers of the Chinese manufacturing sector to further extend strong roots for LGA-SC adoption.

Safety Failure Factors Affecting Dairy Supply Chain: Insights from a Developing Economy

Safety issues in the dairy industry have attracted greater attention in recent years, and the public have showed an intensive concern regarding safety failure in the dairy supply chain. Since the dairy industry is closely associated with humans and fulfills basic necessities, it is necessary to explore safety failure factors (SFFs) affecting the supply chain of the dairy industry. This paper aims to explore the SFFs of the dairy supply chain using an interpretive structural modeling technique (ISM) and Matrice d’Impacts Croises Multiplication Appliques a un Classement (MICMAC) analysis in a Pakistani context. A total of twenty-five failure factors have been identified through literature reviews and the opinion of an expert team, including managerial and technical experts from the dairy industry, as well as academics. Interpretive structural modeling (ISM) is applied to analyze the mutual interaction among barriers and to develop a structural model. The MICMAC technique is used to identify the importance of SFFs based on their driving and dependence power. The results of this study will help decision-makers in the dairy industry to plan their supply chain activities more effectively and efficiently by managing the identified barriers.