Critical success factors for implementing green supply chain management in the electronics industry: an emerging economy case

Linking green supply chain management practices and environmental performance in the manufacturing industry: a hybrid SEM-ANN approach

This research determines the influence of green supply chain management practices (GSCM) on environmental performance. It also investigates the moderating role of supply chain environmental cooperation on GSCM practices and environmental performance relationships. A total of 370 employees of several Bangladeshi manufacturing companies were conveniently chosen as respondents. To verify the data validity and reliability and to test the hypotheses, we used SmartPLS. Finally, we employed an artificial neural network (ANN) to examine the relationship. Green design and green manufacturing have significant positive impacts on environmental performance, while green procurement and green distribution do not. Moreover, environmental cooperation moderates the relationships of green design and green distribution with environmental performance. The moderating effect of supply chain environmental cooperation in the relationship between GSCM practices and environmental performance in the manufacturing industry adds knowledge to the existing literature by incorporating a hybrid model combining PLS-SEM and ANN. Our study adds to the current body of knowledge by delving into the literature on GSCM from the perspective of Bangladesh's industrial sector. This study fills a knowledge gap by shedding light on the interactions of GSCM and environmental performance. Indeed, this study represents a step forward from classic linear regression-based models to an ANN-based nonlinear model. It also demonstrates new contributions to the literature on green supply chain management and environmental performance.

Firms’ dynamic capabilities and supply chain risk management: a B2B perspective

Purpose

This study examines the relationships between collaboration capability (CC) and supply chain risk management (SCRM) and the mediating role of supply chain alignment (SCA) between CC and SCRM. It also investigates the moderating role of data-driven culture (DDC) on the path joining CC and SCA.

Design/methodology/approach

A survey was conducted via a structured questionnaire among the 297 managers of Business-to-business (B2B) firms. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

Findings

The result found a positive and significant relationship between CC and SCRM, CC and SCA, and SCA and SCRM. The research found a significant mediating role of SCA between CC and SCRM. The study also found a significant moderating role of DBC between CC and SCA.

Practical implications

The outcomes demonstrate the management and societal relevance of the study from the viewpoint of businesses in developing nations. To cope with dynamic shifts, managers and decision makers need to take initiative for collaboration among the supplier, to align with their supply chain operations and enhance preparedness of DDC to overcome supply chain-related risks in the future.

Originality/value

The results of this empirical study have the significant potential to provide valuable guidance and insights about the B2B firms’ CC to develop SCA to enhance SCRM as risk management for the supply chain can aid in loss prevention and provide an edge over competitors. To the best of the authors’ knowledge, these relationships based on the dynamic capability view (DCV) add to existing studies on B2B firms’ supply chains in a novel way.

Critical success factors for adopting green supply chain management and clean innovation technology in the small and medium-sized enterprises: A structural equation modeling approach

Organizational sustainability in the form of environmental management and sustainable production is becoming more important for small and medium-sized enterprises (SMEs) throughout the world. This research evaluates the factors affecting the understanding of the CEO's and managers' intention to adopt practices of green supply chain management (GSCM) and clean innovation technology (CIT) in the manufacturing SMEs of Pakistan. This empirical research identifies key determinants influencing the adoption of GSCM practices. Using structural equation modeling (SEM), we selected a sample size of 350 different manufacturing firms in Pakistan. The results of the study revealed that six factors, namely, environmental, government, organization, suppliers, market, and operational factors, significantly influence the intention to adopt GSCM and positively impact sustainable production. The study's findings reveal that market and operational factors are highly significant for adopting GSCM practices at a p-value of 0.05. Environmental and organizational factors are equally significant to adopt GSCM practices at a p-value of 0.10. This research also analyzed CIT as a moderator between environmental, government, organization, customer, supplier, economic, market, and operational factors in the context of Pakistan. Hypotheses H9a, H9b, H9f, and H9g were validated and support the use of CIT to boost enterprise production and consumption. The research findings would help policymakers understand how to implement GSCM practices and guide enterprises to implement GSCM and CIT practices for enhancing enterprise performance and environmental sustainability.

Addressing critical success factors for improving concurrent emergency management: lessons learned from the COVID-19 pandemic

The world is witnessing a difficult time trying to circumscribe the spread of COVID-19 pandemic. The situation has become even more challenging as several natural disasters and emergencies coincided with this pandemic and created a situation of concurrent emergency. Effectively managing concurrent emergencies are extremely challenging. Only by utilizing and applying the knowledge gathered while combating a real-life concurrent emergency, one can further be prepared to face such emergencies. Hence, this study intends to identify the critical success factors (CSFs) having a major role in effective management of concurrent emergencies and evaluate the indispensable links among the factors. Twelve CSFs are identified from Pareto analysis, for which feedback from 46 experts involved in the management of emergencies is utilized. In addition, the revised rough-decision making trial and evaluation laboratory (rough-DEMATEL) approach is suggested to analyze the indispensable links among the CSFs and further, these factors are ranked based on the average vector length. The recent case of concurrent emergency in Bangladesh- floods amid a pandemic is considered to establish the applicability of this method. The findings of this research reveal that to handle concurrent emergencies 'Incremental improvement of proactive measures', 'Resilient supply chain and logistics network', and 'Government leadership and military cooperation' are the most critical factors to concurrent emergency management (CEM). These CSFs play a major role in ensuring the effectiveness of CEM. Thus, this study can be a building block in developing an effective CEM plan for the policymakers, managers, and practitioners.

Operational challenges during a pandemic: an investigation in the electronics industry

Purpose

The recent coronavirus disease 2019 (COVID-19) pandemic poses numerous challenges to supply chains. This pandemic is quite unique when compared to previous epidemic disruptions and has had a severe impact on supply chains. As a result, the operational challenges (OCs) caused by COVID-19 are still unknown among practitioners and academics. It is critical to comprehensively document current OCs so that firms can plan and implement strategies to overcome them. Consequently, this study systematically identifies and ranks COVID-19-related OCs.

Design/methodology/approach

This study uses an integrated methodology combining expert interviews and the best-worst method (BWM) to analyze the results. The data have been collected from the electronics industry of Bangladesh, an emerging economy. This study also conducts a sensitivity analysis to check the robustness of the results.

Findings

The results reveal 23 COVID-19-related OCs under five categories: sourcing, production and inventory management, demand management and distribution, return management and after-sales service, and supply chain-wide challenges. The quantitative investigation reveals that overstock in finished goods inventory, low end-customer demands, order cancellations from dealers and retailers, high inventory holding costs and lack of transportation are the top five OCs.

Practical implications

The findings will help practitioners to understand the OCs and allow them to prepare for future major disruptions and formulate long-term strategies for operations during and after the COVID-19 pandemic.

Originality/value

This study contributes to the literature on supply chain complexity and challenges by considering a major pandemic outbreak. Moreover, the study also contributes to the knowledge on emerging economies, which have been largely neglected in the current literature.

Optimal decisions and Pareto improvement for green supply chain considering reciprocity and cost-sharing contract

With the rapid development of green consumption demand, more and more consumers choose to purchase green products. Incorporating consumers' environmental awareness into a green supply chain, this paper studies the decisions and coordination of the green supply chain under the retailer's reciprocal preference. The decentralized models with and without reciprocity are constructed and analyzed with consideration of product green degree and pricing. Then, the cost-sharing joint commission contract is proposed to realize Pareto improvement. Finally, propositions and conclusions are verified by numerical simulation. The results indicate that improving consumers' environmental awareness is favorable to the profit of the whole supply chain and environment. Besides, within the reasonable range of retailer's reciprocal preference, higher value of the retailer's reciprocal preference is conductive to the better realization of environmental protection and the improvement of the economic welfare of the whole society. The cost-sharing contract exerts a positive effect in improving the environmental and economic performance in the green supply chain (GSC). The paper provides a theoretical foundation for the design of cooperative contracts in the GSC, especially the GSC with retailer's reciprocal preference.

Evaluation of Flexible Strategies to Manage the COVID-19 Pandemic in the Education Sector

COVID-19 has had a substantial impact on almost every field including the education sector. Due to the requirements for social distancing, the pandemic has provided an impetus for change in the education sector; technology-based sustainable education platforms not experienced previously have become essential. This research aims to propose flexible strategies to mitigate challenges of COVID-19 pandemic in the education sector of an emerging economy: Bangladesh. A total of 16 challenges and 19 flexible strategies were identified based on stakeholders’ inputs and literature review. To evaluate the flexible strategies, a methodology based on Pareto analysis and a revised rough-decision making trial and evaluation laboratory (rough-DEMATEL) method is proposed. Findings reveal that in the context of the COVID-19 pandemic, ‘Maintain social distancing and health protocol,’ ‘Enhance the communication and collaboration among students and teachers,’ ‘Financial incentives from government,’ ‘Utilize modern technologies for digitizing the entire education system,’ and ‘Know how to engage students in an online environment’ are the vital strategies that must be implemented if education continues through E-learning. Because the current pandemic situation is a new experience for many individuals around the world, this study helps to recognize the challenges and to propose effective strategies to solve these challenges so that education does not become stagnant.