Search results

This study aims to investigate the interactions between lean production, internal green practices, green product innovation and sustainable performance metrics. The study further looks at the mediation effect of internal green practices and green product innovation between lean production and sustainable performance dimensions.

The questionnaire was used to glean data from 209 manufacturing firms. All the hypothesized relationships were processed by using partial least square-structural equation modelling.

The results suggest that lean production significantly leads to the implementation of internal green practices and the production of quality products with eco-oriented features that meet customers’ needs. Further, while lean production and internal green practices were found to significantly influence sustainability performance, green product innovation significantly influences only financial performance. Besides, the mediation analysis shows that internal green practices mediate the relationship between lean production and sustainable performance dimensions but green product innovation mediates the relationship between lean production and financial performance only.

The study is limited to firms from Ghana, a developing country; hence, the results cannot be imported to reflect other geographical contexts.

The results of the study provide sufficient justifications for managers, (especially Ghanaian managers and those from other similar environs) to commit their financial resources towards implementing lean production and internal green practices so as to achieve sustainability excellence.

This study magnifies and provides new insight on lean and green literature by developing a comprehensive research model that concurrently tests the direct and indirect effects between lean production, internal green practices, green product innovation and sustainable performance dimensions.

Organizations are faced with increasing pressure to engage in sustainable development. There is an ongoing discussion on how to incorporate green thinking into lean management systems. This study aims to investigate configurations of lean and green supply chain management (GSCM) practices associated with high environmental performance.

The study uses survey data from a sample of Portuguese manufacturing firms and apply fuzzy-set qualitative comparative analysis to examine the data. This configurational technique allows to capture the synergetic effect of lean and GSCM practices and identify distinct combinations leading to the outcome of interest.

Seven configurations of lean and green practices are associated with high environmental performance. The implementation of lean practices is required in all configurations. Analysis of alternative combinations reveals trade-offs between lean initiatives and environmental goals. Four configurations require low level of implementation of pull production. In one configuration, high environmental performance is achieved with low implementation of statistical process control and without lean employee involvement.

This study expands the literature on lean management by identifying different strategies to integrate lean and GSCM practices to achieve high environmental performance.

The findings suggest different strategies to achieve high environmental performance. Managers need to selectively implement lean and green supply chain practices to achieve the desired combinatorial effect, which may require not to implement specific lean practices.

The study demonstrates the synergetic effects of lean and green practices on environmental performance using a configurational perspective. In addition, it identifies combinations that require a low level of implementation of specific lean practices.

This study aims to examine the impact of big data management on green service production (GSP) and environmental performance (ENPr) while considering green HRM practices (GHRM) in healthcare emergencies.

The authors collected primary data from major healthcare organizations in India by surveying healthcare professionals. The data analysis through structural equation modelling (PLS-SEM) reveals several significant relationships to extricate the underlying dynamics.

Grounded in the theories of service production and natural resource-based view (NRBV), this study conceptualizes GSP with its three dimensions of green procurement (GP), green service design (GSD) and green service practices (GSPr). The study conducted in India's healthcare sector with a sample size limited to healthcare professionals serving in COVID-19 identifies the positive and significant impact of big data management on GSP and ENPr that organizations seek to deploy in such emergencies. The findings of the study explain the moderating effects of GHRM on GSP-ENPr relationships.

The study was conducted in the healthcare sector in India, and its sample size was limited to healthcare professionals serving in COVID-19. The practical ramifications for healthcare administrators and policymakers are suggested, and future avenues of research are discussed.

This paper develops a holistic model of big data analytics, GP, GSD, GSPr, GHRM and ENPr. This study is a first step in investigating how big data management contributes to ENPr in an emergency and establishing the facets of GSP as a missing link in this relationship, which is currently void in the literature. This study contributes to the theory and fills the knowledge gap in this area.

This study investigates the impact of blockchain technology on green supply chain practices with the aim to promote pro-environmental settings in supply chains of manufacturing firms. Moreover, mediating role of environmental orientation is examined between blockchain technology and green supply chain practices. Also, moderating role of technological orientation in this connection is undertaken.

The authors have applied a quantitative methodology in which a questionnaire was developed from literature. After that, data are collected from manufacturing firms of Malaysia. The data collected are analysed by using PLS-SEM in which multiple regression and moderation are applied.

The results of this study confirm the positive impact of blockchain on green supply chain practices. Also, the mediating role of environmental orientation is revealed in this relationship. Moreover, technological orientation is confirmed as a moderator which strengthens the relationship between blockchain technology and green supply chain practices.

This study has collected data from manufacturing firms of Malaysia. However, the authors have not undertaken service sector firms. Thus, they recommend future researchers to consider service sector firms in this context. Moreover, they have taken SMEs for this study and have neglected large firms. Therefore, in future, large firms could be taken to test the current study's perspective in them. Furthermore, this study suggests to the policymaker and managers, especially of manufacturing concerns, to infuse Industry 4.0 technologies such as blockchain technology because of its manifold benefits.

This study suggests to the policymaker and managers, especially of manufacturing concerns, to infuse Industry 4.0 technologies such as blockchain technology because of its manifold benefits. First, it will enhance the integration across the streams of the supply chain; secondly, it will improve the demand and supply planning which will eliminate the extra production and will enable firms to adopt just-in-time production by saving various costs associated otherwise. Importantly, these processes are against the pro-environmental behaviour which is pivotal to achieve green supply chain practices.

This study contributes by joining the technological perspective of Industry 4.0 technologies and sustainability perspective of green supply chain in manufacturing concerns. In addition, the related concepts of technological orientation and environmental orientation are also undertaken to further adjoin the former fields. As a practical contribution, this study will, first, enhance the integration across the streams of supply chain; secondly it will improve the demand and supply planning which will eliminates the extra production and will enable firms to adopt just-in-time production by saving various costs associated otherwise. It is also suggested to instil pro-environmental behaviour or environmental orientation in the employees at all levels of firm. Moreover, technological orientation should also be improved by emphasizing on the importance of technology for environmentally friendly and green supply chain practices.

Exploring ways to sustain competitive positions as well as improve firm performance through environmental production initiatives has been a major preoccupying topic for mostly practitioners and researchers. Despite several studies on the influence of environmental initiatives on firm performance, many questions remain unanswered as to how to further extract more gains from environmental production initiatives. This study, thus, explores environmental production practices impact on firm performance from proactive and reactive perspectives.

The study adopted a survey research design, a quantitative approach and partial least square structural equation modelling (PLS-SEM) technique in making data analysis and interpretations due to its suitability for predictive research models.

The results indicated that proactive environmental production practices positively related with process and environmental performances but negatively associated with financial performance. Although the findings contrast with majority of past findings, they gain the support of other scholars in establishing that early adoption stages of proactive environmental production initiatives strain financial capabilities and thus present a negative relationship. Reactive environmental production practices are positively and significantly related with process, environmental and financial performances.

The study is among the first to expose environmental production practices from a proactive and a reactive perspective and in the context of a developing country. As such, the study provides guidance to relevant authorities in further promoting sustainable production practices to preserve the environment by manufacturing safer consumer products through efficient sustainable production processes and practices.

The purpose of this paper is to explore the impact of eight dimensions of green supply chain management (GSCM) on economic, environmental and social performance, which are the three dimensions of corporate sustainability. The eight dimensions covered in this study are: green purchasing, green manufacturing, green distribution, green packaging, green marketing, environmental education, internal environmental management and investment recovery.

The relationships between dimensions of GSCM and sustainability performance are tested by using a plant-level survey. A proposed research model and hypotheses are tested by using cross-sectional face-to-face and e-mail survey data collected from manufacturing firms in Turkey. Structural equation modeling is used to test the proposed hypotheses.

Except for green purchasing, all GSCM dimensions are found to be related with at least one of the performance dimensions.

The results are important in highlighting the importance of GSCM in improving sustainability performance.

This paper enhances the understanding of the relationship between different dimensions of GSCM and the three sustainability performance factors. While there are very few studies examining the relationship between GSCM and corporate sustainability, this study is important in terms of exploring the effects of dimensions of GSCM applications on economic, environmental and social performance one by one, by examining these applications in the form of eight dimensions.

The development of green manufacturing has become essential to achieve sustainable development and modernize the nation’s manufacturing and production capacity without increasing nonrenewable resource consumption and pollution. This study investigates the effect of green industrial practices on technical efficiency for Thai manufacturers.

The study uses stochastic frontier analysis (SFA) to estimate the stochastic frontier production function (SFPF) and inefficiency effects model, as pioneered by Battese and Coelli (1995).

This study shows that, on average, Thai manufacturing firms have experienced declining returns-to-scale production and relatively low technical efficiency. However, it is estimated that Thai manufacturing firms with a green commitment obtained the highest technical efficiency, followed by those with green activity, green systems and green culture levels, compared to those without any commitment to green manufacturing practices. Finally, internationalization and skill development can significantly improve technical efficiency.

Green industry policy mixes will be vital for driving structural reforms toward a more environmentally friendly and sustainable economic system. Furthermore, circular economy processes can promote firms' production efficiency and resource use.

To the best of the authors' knowledge, this study is the first to investigate the effect of green industry practices on the technical efficiency of Thai manufacturing enterprises. This study also encompasses analyses of the roles of internationalization, innovation and skill development.

In the current highly competitive market, most organizations are moving away from reactive and compliance-based to proactive environmental management. This proactive approach to environmental management calls for taking a strategic approach to adoption of green practices beyond an organization’s internal borders. In this respect, incorporating green practices into a firm’s supply chain has attracted interest of operations management scholar and practitioners. The influence of external pressures on the adoption of green supply chain management (GSCM) practices has been established in the literature. This research posits that the adoption of GSCM practices is also driven by a firm’s internal strategic factors including its key resources and competitive strategy. It also suggests that these direct effects are further mediated by the green strategies (GSs) adopted in companies. Theoretically, these relationships are supported by combining the institutional theory with the natural resource-based view. A structural equation modeling is applied to formulate and analyze the relationships and the mediating effect using a survey data collected from 139 ISO14001-certified manufacturers in Malaysia. The results verified the mediating effect of GS adoption on the relationship between internal and external strategic factors, and GSCM practices. This research has made an original contribution to knowledge by bridging the fields of strategic environmental management and GSCM.

With the increasing concern over environmental pollution and global warming, companies are required to act responsibly to mitigate these environmental issues. Their activities should adhere to the standards of environmental sustainability. Thus, this study aimed to investigate the impact of green supply chain management (GSCM) and total quality management (TQM) on environmental sustainability, with environmental management practices (EMP) as the moderating factor.

A quantitative study was adopted using the management data from various manufacturing companies in Jordan. A total of 362 responses were collected, and the proposed hypotheses were tested using a structural equation model.

The study findings revealed that both GSCM and TQM significantly and positively influenced environmental sustainability. The impact of TQM on environmental sustainability was higher than that of GSCM. Moreover, no evidence was found on the moderating role of EMP.

The study’s results highlighted to the decision-makers the main practices to expand the quality implementation across their supply chain to improve environmental sustainability. The study also demonstrated the reasons behind the insignificance of EMPs in strengthening the relationships between GSCM, TQM, and environmental sustainability.

While there are very few studies examining the relationships between GSCM and TQM on environmental sustainability. This study adds to the literature body as one of a few empirical studies that tested the integrated effect of GSCM and TQM practices within the context of the manufacturing industry in a developing country. Moreover, this study takes a holistic approach by tapping into EMP to confirm whether it moderated the relationships between GSCM, TQM, and environmental sustainability.

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.