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PurposeThis research aims to profoundly investigate the post-COVID-19's opportunities for customer-centric green supply chain management (GSCM) and perceived customer resilience by studying the correlation between fear-uncertainty of COVID-19, customer-centric GSCM, and the perceived customers' resilience. Moreover, to examine how the perceived corporate social responsibility (CSR) activities moderates the relationship among the variables.Design/methodology/approachIn this study partial least squares structural equation modeling (PLS-SEM) was adopted on a sample of 298 managers and customers in the Egyptian small and medium enterprises (SMEs) market for data analysis and hypotheses testing.FindingsPreliminary results indicate that the fear-uncertainty of COVID-19 positively affects customer-centric GSCM. Also, external CSR moderates the association between fear-uncertainty towards COVID-19 and customer-centric GSCM. However, internal CSR does not moderate this relationship. Customer-centric GSCM has a significant positive impact on the perceived environmental and social resilience. However, it has an insignificant effect on the perceived financial resilience. Also, customer-centric GSCM has a significant mediation outcome on the relation between fear-uncertainty of COVID-19 and the perceived environmental and social resilience. However, this relation is insignificant regarding the perceived financial resilience.Practical implicationsManagers could develop a consistent strategy for applying CSR practices, providing clear information and focusing on their procedures to meet their customer needs during COVID-19. Governments and managers should develop a consistent strategy to apply customer-oriented green practices to achieve customers' resilience, especially during the pandemic.Originality/valueBased on the "social-cognitive,” "stakeholder” and "consumer culture” theories, this study shed light on the optimistic side of the COVID-19 pandemic, as it also brings the concepts of social responsibility, resilience and green practices back into the light, which helps in solving customers' issues and help to achieve their resilience.
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Smart Supply Chain has been evolving with the use of base technologies and front-end technologies, allowing the development of digital solutions for companies. Besides these technological aspects, companies should create a digital transformation strategy to boost the development of their Smart Supply Chain. Even though creating a Smart Supply Chain is vital for companies enabling their competitiveness in the market, some companies are also applying green supply chain internal and external practices to recover from the COVID-19 outbreak. These green practices are essential for companies to guide their supply chain activities to ensure competitive advantage. We discuss when companies develop Smart Supply Chain to meet Green Supply Chain Management (GSCM), a Smart GSCM is configured to reach sustainable performance goals and to decrease COVID-19 impacts. © 2023 Elsevier Inc. All rights reserved.
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As sustainability draws increasing attention due to the COVID‐19 pandemic, interest in the green supply chain has likewise substantially increased. The present study contributes deeper insights into the logical integration of the resource‐based characteristics that can facilitate the effective transition from traditional to green supply chains while also increasing the effectiveness of existing green supply chains. The proposed model, rooted in the resource‐based view (RBV) theory, examines the associations of supply chain connectivity (SCC), supply chain information sharing (SCIS), top management commitment (TMC) and green procurement and logistics acceptance (GPLA) with green supply chain management (GSCM). Analysis of data from employees at 381 manufacturing firms in the United Kingdom confirmed the positive associations of SCC and SCIS with TMC and GPLA, of TMC with GPLA and GSCM and of GPLA with GSCM. The results also confirmed the serial mediation effect of TMC and GPLA on the associations of both SCC and SCIS with GSCM. The study offers several practical insights and theoretical contributions, including a novel GSCM scale.
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For the last few decades, the business practices have primarily been focusing on the green and sustainable practices that mainly focus on the preservation of the environment and correspond to corporate social responsibility. But the sudden outbreak of the COVID-19 pandemic has left unprecedented effects on the business world. Against this backdrop, the current study entails investigation of the antecedents and consequences of green supply chain management in the post-COVID-19 era. The term black swan stands true for the event. The term could be believed to be accurate as all aspects of the supply chain have been observed to be influenced by the swan (customers with panic/regulated buying, suppliers with hoarding, inventories witnessing bullwhip effects). The current study, therefore, offers a novel explanation by linking various actors of green supply chain management and how the interplay of those actors can influence the supply chain and overall firm performance post COVID-19.
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Despite great academic interest in global green supply chain management (GSCM) practices, its effectiveness for environmental management systems (EMS) and market competitiveness during COVID-19 remains untapped. Existing literature suggests that a fundamental link between GSCM, EMS, and market competitiveness is missing, as supply management is critical to maintain market competitiveness. To fill this gap in the literature, this study examines whether environmental management systems influence the link between GSCM practice and market competitiveness in China. We also propose the articulating role of big data analytics and artificial intelligence (BDA-AI) and environmental visibility toward these associations in the context of the COVID-19 pandemic. We evaluated the proposed model using regression-based structural equation modeling (SEM) with primary data (n = 330). This result provides empirical evidence of the impact of GSCM on EMS and market competitiveness. Moreover, the results show that the BDA-AI and the environmental visibility enhanced the positive relationship between GSCM-EMS and EMS and market competitiveness in China. Recent research shows that supply chain professionals, policymakers, managers, and researchers are turning to formal EMS, BDA-AI, and environmental visibility to help their organizations achieve the competitiveness that the market indicates they need.
Subject(s)
COVID-19 , Conservation of Natural Resources , Humans , Artificial Intelligence , Pandemics , Efficiency, OrganizationalABSTRACT
Purpose: This study aims to empirically test and analyze the role of Green Human Resource Management (GHRM) and Green Supply Chain Management (GSCM) and Green Lifestyle on business sustainability mediated by digital skills. Design/Methodology: This study involved logistics managers at manufacturing companies in DKI Jakarta and West Java, Indonesia. It is because these two provinces have the largest manufacturing companies in Indonesia. From a late survey, the researchers obtained data from 250 questionnaires that were distributed. Then from all the data, there were 218 data that could be processed for further analysis. This study utilized the Structural Equation Model (SEM) analysis technique with AMOS 24 software in the data testing process. Findings: This study has confirmed a number of findings including: With the current COVID-19 Pandemic, Green Human Resources Management (GRHM) and Green Supply Chain Management (GSCM) are needed in Business Sustainability. GSCM has a positive effect on Business Sustainability (BS). Indonesia is also facing a revolution of 4.0 and 5.0, and Green Human Resources Management (GHRM) practice has an influence on BS and is deemed having significant and positive effect. In addition, manufacturing companies support the practice of green environment so that Green Supply Chain Management (GSCM) practice needs Digital Skill (DS) in enhancing its performance. Also, it has been proven in this research that GSCM has positive and significant effect. Digital Skill (DS), however, has no direct effect on Business Sustainability (BS). Research Limitation/Implications: This study focuses on the scope of green human resource management, green supply chain management, and green lifestyle and their impact on business sustainability mediated by digital skills. The next study is expected to examine the concept of green human resource management in service companies in order to obtain unique findings and confirm the relevance of the green human resource management concept in various business phenomena. Originality/value: This study explains the concept of Green Human Resource Management (GHRM), Green Supply Chain Management (GSCM) and Green Lifestyle (GL) towards Business Sustainability (BS) which is a different concept from the concept of Human Resource Management (HRM) implemented in manufacturing companies. In addition, this study discusses the green supply chain in its influence on business sustainability. Also, this study explains the role of the concept of Digital Skills (DS) in influencing Business Sustainability (BS).Practical and Social Implication: This study is expected to be a reference for practitioners, especially in the fields of Green Human Resource Management (GHRM), Green Lifestyle (GL), and Green Supply Chain Management (GSCM) in improving Business Sustainability (BS). Furthermore, the concept of green human resource management can be used by organizations as an effective alternative to increase responsibility in increasing business sustainability. Digital skills have a very significant role in implementing the research model.
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This research explores the opportunities presented by COVID-19 for green supply chains' environmental practices and ecological sustainability performances in the healthcare sector. This study investigates the connections between uncertainty-fear of COVID-19, healthcare green supply chain management (GSCM), and the three pillars of a firm's sustainability performance (environmental, economic, and social). Moreover, this study examines the moderating role of social media usage (SMU) on the effect of uncertainty-fear of COVID-19 on healthcare-GSCM. When conducting the empirical part, this study uses the partial least squares structural equation modeling method based on a sample of 483 healthcare managers. The findings prove that the uncertainty-fear of COVID-19 has a beneficial impact on healthcare-GSCM. Besides, SMU moderates the relationship between uncertainty-fear of COVID-19 and healthcare-GSCM, indicating the importance of SMU in gathering information for the healthcare sector during COVID-19. Likewise, when interacting with healthcare firms' sustainability performances, healthcare-GSCM positively impacts environmental and social performances, though it has a negligible impact on economic performance. This study adds to the “social cognitive theory”by introducing the concept of uncertainty-fear of COVID-19. Furthermore, this research adds to the “resource-based view theory”and the “knowledge-based view theory”by exploring the SMU's role during the outbreak. IEEE
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The COVID-19 pandemic forced upon the world, severe social distancing restrictions, which led to prolonged confinement across populations. The latter directly impacted actors along the supply chain in a variety of industrial sectors (for instance, raw material suppliers, manufacturers, distributors, and customers, among others). Some actors involved had to cease participation altogether due to closures. As a result, the supply chain requires restructuring and its reactivation requires careful consideration. In addition to the pandemic, poor air quality has brought about an environmental crisis in recent years. Primary polluters include greenhouse gas (GHG) emissions caused by manufacturers and distributors. Therefore, this research studies the problem of restructuring a particular multicommodity and hierarchized supply chain. Specifically for companies dealing with situations derived from a reduction in manufacturing capacity and service level in light of the pandemic. In this case, a company (leader) is faced with selecting customers that it will service in pursuit of maximizing profit, all while looking to minimize GHG emissions. The consolidated demand is nearshored once the leader company decides on the customers to be supplied. That is, an order is placed on a company with a lower hierarchy (follower). The follower, in turn, aims to minimize its own manufacturing costs without exceeding the pollution limits imposed by the government. However, its manufacturing plan inevitably pollutes and incurs different costs. In addition, the follower's decisions impact both leader's objective functions. We propose a bi-objective bi-level programming model to study this situation. To solve the problem in reasonable computational time, a heuristic algorithm that takes into account existing asynchrony between leader and follower companies is proposed to approximate the Pareto front. Computational experimentation reveals that the proposed algorithm provides good trade-off solutions, which can reduce GHG emissions by 67% on average without significantly affecting company revenue. Moreover, the algorithm is able to provide solutions for instances of up to 1000 nodes in a competitive computational timeframe. In addition, we discuss the advantages of computing GHG emissions proposed herein. Finally, useful managerial insights are discussed by performing a sensitivity analysis regarding the distribution company's minimum acceptable level of profit. © 2023 Elsevier Ltd
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The COVID-19 pandemic has prompted global supply chain managers to reassess their operations. Developing a green supply chain requires successfully integrating environmental responsibility principles and benchmarks into supply chain management practices. In the past, there have been few studies on the most effective strategies for reducing the environmental impact of supply chains and improving their sustainability. This study used the decision-making trial and evaluation laboratory (DEMATEL) method to construct a structural model evaluation system of the green supply chain management (GSCM) to evaluate the interdependent relationships among dimensions and criteria. A GSCM evaluation system was created after using the DEMATEL-based ANP (DANP) to convert the GSCM evaluation indicators and impact factors into degrees of importance. This study explores the obstacles and challenges that organizations face when implementing GSCM practices and how these challenges can be overcome. The results found that organizational changes had the most significant impact, given that they would also improve the other three dimensions. Among the 16 evaluation criteria, resource allocation and market expansion optimization were the most important. Based on these findings, the study proposed specific improvement strategies that corporations and other stakeholders could use to adopt GSCM practices. © 2023 by the authors.
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PurposeDespite big data analytics capability (BDAC) has received extensive attention, how and under what conditions BDAC influences green supply chain integration (GSCI) remains unclear. This study draws on organizational information processing theory to examine the mediating effect of supply chain visibility in the BDAC–GSCI link and the moderating effects of flexibility- and control-oriented culture.Design/methodology/approachThe authors examined the research model using two-waved survey data gathered from 317 Chinese firms. The authors employed hierarchical regression analysis and bootstrapping method to test hypotheses and assessed the robust of theoretical model using structural model.FindingsThe authors found that BDAC facilitates all three dimensions of GSCI. Supply visibility mediates the relationship between BDAC and all three dimensions of GSCI, whereas demand visibility only mediates the positive effects of BDAC on green internal and customer integration. In addition, control-oriented culture strengthens the positive impacts of BDAC on supply and demand visibility, while the moderating effects of flexibility-oriented culture are insignificant.Originality/valueThis research contributes to opening the "black box” of how BDAC affects GSCI and provides novel guidelines for firms enhancing the degree of GSCI.
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Purpose: The novel COVID-19 supply chain disruption has globally altered the environmental needs of society. Against this backdrop, this paper aims to examine how top managers are environmentally committed to integrating green supply chain management (GSCM) practices in the operational performance of small- and medium-scale enterprises (SMEs) in Ghana, within the post-pandemic economy. Design/methodology/approach: The study used a cross-sectional survey to obtain data from 270 SMEs in Ghana, using partial least squares (PLS) structural equation modelling to test seven hypothesized relationships. Findings: The outcome of the analysis revealed that top management environmental commitment has a significantly positive effect on supply chain operational performance. The structural model also revealed that top management environmental commitment has a positive and significant effect on both internal and external GSCM practices. The results further revealed that both internal and external GSCM practices have positive and significant effects on supply chain operational performance. Finally, both internal and external GSCM practices mediate the path between top management environmental commitment and supply chain operational performance. Research limitations/implications: The study provides a novel framework which contributes to both theoretical studies and managerial decisions on COVID-19 related supply chain management issues. However, the study was limited to the Ghanaian context, thus, further related studies are required in other contexts. Originality/value: This study provides a novel framework by elucidating the intervening role of GSCM practices in the path between top management environmental commitment and supply chain operations in an emerging post-pandemic world context. © 2023, Emerald Publishing Limited.
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Supply chain organizations should calmly and cautiously take the most accurate and sustainable decisions quickly and put them into practice. It is obvious that traditional time series-based demand and supply planning approaches are insufficient to meet current business needs due to factors such as sharp changes in market and commercial dynamics, pandemics, and natural disasters on the management of green supply chains, especially these days. In the near future, there will be a need for more resilient supply chains with a flexible business models that are not affected by sudden changes and that can make sustainable decisions dynamically. Additionally, all stakeholders must act with a green supply chain approach to conduct production and service activities in a way that causes the least damage to nature. Companies must build more resilient supply chains by considering environmental sensitivities to compete in the market and ensure their continuity. In this context, the green supply chains should be evaluated according to their resilience. For this purpose, Supply Chain Operations Reference (SCOR) model is extended with novel performance attributes to evaluate resilience of green supply chains in this study. The SCOR-embedded novel green supply chain resilience evaluation model is structured as a three-level performance attribute hierarchical structure. Then, the model is handled as a multi-criteria decision-making problem to determine importance of the performance attributes. Best Worst Method integrated Interval Valued Intuitionistic Fuzzy Analytic Hierarchy Process is used to determine the importance of performance attributes. Most important performance attributes are determined in each level of hierarchy. According to results, organizational factors play a key role to build more resilient supply chains. Especially, integrated systems are required for supply chain resilience.
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In the era of digital media, there is rapid spread of information. During coronavirus (COVID-19) pandemic situation, the government and other administrative bodies were highly dependent on media outlets, as direct contact was not feasible. Visual communication tools are used to spread awareness and encourage people towards vaccination. The circulation of wrong information may lead to confusion, which may cause denying the vaccine. There was a need to know the extent for contribution of visual communication tools for spreading correct information and motivating the society towards vaccination in post COVID times. In the present study, survey questionnaires were framed specific to which media (print or digital) was more effective to deliver the correct information to the targeted audience. The present study objectives to answer the questions through a survey of 312 people of different age groups, and the data was collected about their families. The obtained data was tested through hypothesis, and fact-checked was performed adopting analysis of variance (ANOVA). The results from the study highlighted that different age groups prefer different mediums of communication. The reach and adoption of digital media have tremendously increased, and it helped to achieve the sustainable development goals (SDGs) by efficient green supply chain management (GSCM) of daily plastic and paper wastage during post-pandemic.
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Although the COVID-19 pandemic disrupted the global supply chains, it also provided opportunities that brought the concepts of sustainability and green practices back into the light. Based on the "stakeholders" and "social cognitive" theory, our study intends to empirically explore how fear-uncertainty towards COVID-19 relates positively to both green supply chain management (GSCM) and the firm's sustainability performance (economic, environmental, and social). In addition, it examines the moderating effect of corporate social responsibility (CSR) (internal CSR and external CSR) on the association between fear-uncertainty towards COVID-19 and GSCM. In this study, we studied a sample of 300 manager-level employees in Egypt. We used partial least squares structural equation modeling (PLS-SEM) to analyze the data and test our hypotheses. Results showed that fear-uncertainty towards COVID-19 positively affect GSCM. Also, external CSR moderates the association among fear-uncertainty towards COVID-19 and GSCM. But it is not moderated by internal CSR. In addition, GSCM positively affects environmental and social performance. However, it has an insignificant effect on economic performance. Besides, GSCM has a significant mediation effect between fear-uncertainty towards COVID-19 and the firm's environmental and social performance. However, this mediation relationship regarding economic performance is insignificant. Finally, we discussed the theoretical and practical implications at the end of this research.
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With the promotion of carbon-peak and carbon-neutral strategies and the increase in green awareness, green development is gradually gaining attention, and the green supply chain management (GSCM) derived from traditional supply chain management is gradually becoming a path to promote green development. At the same time, enterprise, as an important source of pollution, how to consider social responsibility, such as environmental protection, in the process of ensuring efficiency improvement has become an important issue. To study the impact of GSCM on enterprise value and its path of action, this paper examines the impact of GSCM on enterprise value, explores the moderating effect of the risk-taking level, and further analyzes the dual moderating effect played by technological innovation capability and supply chain concentration. Based on the micro data of 131 Chinese listed enterprises from 2014 to 2021, a panel-regression model is used to illustrate how GSCM affects enterprise value, and the results show that: (1) GSCM can promote enterprise value;(2) the level of risk-taking strengthens the promoting effect of GSCM on enterprise value enhancement;and (3) the technological innovation capability negatively regulates the moderating effect of risk-taking, while the supply chain concentration positively regulates the moderating effect of risk-taking. The research results of this paper enrich the path of the effect of implementing of GSCM on enterprise value enhancement, i.e. the process of GSCM to enhance enterprise value is regulated by the level of enterprise risk-taking, while technological innovation capability and supply chain concentration will also regulate the level of enterprise risk-taking and thus promote enterprise value enhancement. This research not only extends the research perspective and enriches the existing research, but also provides a theoretical basis for enterprises to implement GSCM to promote value enhancement and improve the level of GSCM implementation and the green development of enterprises.
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Sustainability has always been a concern of humankind in one form or the other. Still, it has come into sharper focus after the promulgation of the sustainable development goals in 2015 and the disruptive forces unleashed by the COVID-19 pandemic. Supply chain management is an aspect of business operations wherein the need for sustainability has been felt more keenly. The academic and business understanding of various nuances of incorporating sustainability, particularly environmental concerns in the supply chain, is still evolving. Our study seeks to enrich the growing literature in the area by proposing to uncover a novel, logical sequence of intangible supply chain resources that can amplify the impact of green supply chain management practices (GSCMPs) on business performance. We use the dual-theoretical lens of a resource-based view and stakeholder theories to conceptualize the sequential mediational role of supply chain visibility, resilience, and robustness between GSCMP and performance. Analyzing data collected from 318 individuals working in the manufacturing sector in the United Kingdom, we found a positive direct association of GSCMP with performance and the serial mediational role of visibility and robustness between the two. The findings of our study are pertinent for theorists as well as managers. © 2023 The Authors. Business Strategy and The Environment published by ERP Environment and John Wiley & Sons Ltd.
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This study examines the relationship between uncertainty-fear toward COVID-19, green supply chain management (GSCM), and perceived service quality based on the five dimensions service quality model (SERVQUAL). It also tests the moderating effect of big data analytics (BDA) capabilities. Based on a sample of 300 healthcare managers and customers, we used partial least squares structural equation modeling to analyze the data and test our hypotheses. The empirical results show that the uncertainty-fear toward COVID-19 positively affects GSCM. Also, BDA moderates the relationship between uncertainty-fear toward COVID-19 and GSCM. GSCM positively impacts service quality (empathy, responsiveness, and assurance) but not reliability or tangible items. In addition, GSCM significantly mediates the relationship between uncertainty-fear toward COVID-19 and services' empathy, responsiveness, and assurance. However, it has an insignificant mediation effect regarding reliability and tangible-item dimensions.
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Against the background of the pandemic, the mask supply chain faces the risk of pollution caused by discarded masks, the risk of insufficient funds of retailers, and the risk of mask overstock. To better guard against the above risks, this study constructed a two-party game model and a cusp catastrophe model from the perspective of the mask green supply chain, and studied the strategic choices of retailers and suppliers in the supply chain affected by the risk of capital constraints and overstock. The result shows that the risk shocks will lead to the disruption of the mask green supply chain, and the main factors affecting the strategy choice of mask suppliers and retailers are mask recycling rate, deposit ratio, risk occurrence time, etc. In further research, this study involved a mechanism for financial institutions, mask retailers, and the government to jointly deal with the risk of mask overstock, the risk of retailers' insufficient funds, and the risk of environmental pollution from discarded masks. The research path and conclusion of this study reveal the risks in the circulation area of mask supplies during the pandemic, and provide recommendations for planning for future crises and risk prevention.
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This research aimed to examine the impact of Green Supply Chain Quality Management (GSCQM) on Corporate Green Performance (CGP). A questionnaire was distributed to a sample of (113) practitioners of large multinational companies in the industrial sector and which are established in Morocco. Data were analyzed using PLS-Smart software which is specialized in structural equation modeling. The software was used to determine whether the tin dimensions of Green Supply Chain Quality Management (i.e. independent variable);Green Human Resource Management, Green Leadership Behavior, Green Supplier Quality Management, Customer Focus, Process Management, Information and Analysis, Eco-Design, Green Purchasing, Environmental Cooperation, and Reverse Logistics have a significant impact on Corporate Green Performance(i.e. dependent variable). The software was also used to test the two mediation variables, namely: Green Organizational Culture and Green Innovation. The findings revealed that the practices of « Green Supply Chain Management are having a significant impact on green innovation;and the implementation of the « Green Supply Chain Management has a positive effect on Corporate Green Performance. However, Green Organizational Culture and Green Innovation did not have a significant impact on Corporate Green Performance according to the respondents' ratings. Therefore, this study is based on two main theories, namely: cost theory, institutional theory, green theory, stakeholder theory and resource-based theory. © 2022 IEEE.
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Purpose>This study investigates the impact of big data analytics capabilities on green supply chain performance. Moreover, it assesses the mediating effect of the green innovation and moderating effect of technological intensity.Design/methodology/approach>This study is based on primary data that were collected from the food and beverages manufacturing sector operating in Jordan. A total of 420 samples were used for the final data analysis. Data analysis was performed via structural equation modeling (SEM) using SmartPLS 3.3.9.Findings>The results of the data analysis supported a positive relationship between big data analytics capabilities and the green supply chain performance as well as a mediating effect of green innovation. It was confirmed that technological intensity moderated the relationship of green innovation on green supply chain performance.Research limitations/implications>The study faced many limitations such as the method of collecting primary data, which relied on a questionnaire only and the use of cross-sectional data, as well as studying one context and in one country.Practical implications>The findings can guide managers and policymakers in the Jordanian food and beverage manufacturing sector on how to manage organizational capabilities related to big data analytics to enhance green supply chain performance and improve green innovation in these firms.Originality/value>This study developed a theoretical and empirical model to investigate the relationship between big data analytics capabilities, green innovation, technological intensity and green supply chain performance. This study offers new theoretical and managerial contributions that add value to the supply chain management and innovation literature by testing the moderated mediation model of these constructs in the food and beverages manufacturing sector in Jordan.