Toward an organizational understanding of the transformation needed for sustainable supply chain management: The concepts of force-field and differential efforts

Creating a greener future: the crucial role of green innovation and supply chain management in corporate sustainability

One of the most pressing concerns today is how to improve green innovation and supply chain management for company sustainability. It has been discovered that inefficient supply chain management is a major barrier limiting eco-friendly innovation. The supply chain management process is crucial to a company's long-term viability, yet previous research barely scratched the surface of its significance. This article uses a resource-based view to investigate how integrating green innovation and organizational agility into the supply chain management process contributes to the long-term success of businesses. This study used a cross-sectional approach. Structured equation modeling was used to examine data collected through convenience sampling from 475 employees of Chinese multinational manufacturing enterprises. Green innovation helps smooth over the bumps on the road between supply chain management and sustainable business results. Green innovation and business sustainable performance also benefit from organizational agility, which was not shown to moderate this relationship. The study teaches that in today's knowledge-based economy, firms that invest in novel technologies and adopt greener strategies are better able to address sensitive issues like supply chain management and organizational agility and achieve long-term success. This research aims to provide light on the complex interconnections between supply chain management, green innovation, and the sustainable performance of businesses. The theoretical framework for the present research was validated by the occurrence of a positive association between these variables.

A model for green-resilient supplier selection: fuzzy best-worst multi-criteria decision-making method and its applications

Supplier selection is regarded as the primary goal of supply chain management (SCM) because it affects its performance, productivity, pleasure, flexibility, and system speed in lockdown. A new method is proposed based on a multi-stage fuzzy sustainable supplier index (FSSI). Experts can use the triple bottom line (TBL) criteria to select the best supplier. In addition, the worst method is proposed based on trapezoidal membership and fuzzy membership functions, which can cover uncertainties and ambiguous environments. Because it collects the related criteria and sub-criteria and uses a direct fuzzy methodology, this research has impacted the SCM literature because it helps solve previous expert methods' computational difficulties. In addition, an ordered mean integration representation method has been implemented to prioritize the selection of the best supplier (SS) based on the sustainability performance of the best supplier, which improves the selection accuracy compared to the previous ranking method. This study can be used as a benchmark to determine which supplier is the best in sustainability. To provide the superiority and broad applicability of the proposed model, a practical case study was completed. On the other hand, the COVID-19 pandemic harms productivity, company performance, and selecting the best suppliers based on sustainability performance. The lockdown situation caused by the COVID-19 pandemic hurts company performance and management.

A Cause and Effect Model for Digital Sustainable Supply Chain Competitiveness under Uncertainties: Enhancing Digital Platform

This study provides insights into digitalization in sustainable supply chain management by establishing a structural set of attributes with causal interrelationships among them, as well as by reporting empirical findings on successful criteria for footwear supply chain practices in Indonesia. Sustainable supply chain management and digitalization are mutual benefits. However, there are unclear cause and effect interrelationships. This study aims to critically pinpoint digitalization to approach sustainability and is designed to help firms achieve supply chain competitiveness. The fuzzy Delphi method and fuzzy decision-making trial and evaluation laboratory are utilized, due to the fuzziness associated with human decision making and the complexity and uncertainty in the supply chain. Five aspects and seventeen criteria are validated. The findings indicate that four aspects, including digital platform effectiveness, digital communication belonging to the supply chain digitalization perspective, labour conditions, and manufacturing processes, are important to sustainable supply chain management. The top causal criteria, including logistics integration, logistics optimization, delivery speed, proactive action, and real-time inventory, are considered to assist firms in implementing better practices.