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The role of negative entropy within supply chain sustainability.

ABSTRACT: With the COVID-19 pandemic, supply chains are today confronted with more uncertainties than ever before. In the face of unanticipated disruptions, being resilient and sustainable has been rewarding for supply chains in terms of competitive advantage. However, literature is still far from possessing an encompassing sustainable supply chain framework (SSCF). As a contribution to the extant literature, the present study expounds a prominent concept termed negative entropy and explores its role in the SSCF. To accomplish this goal, the effect of negative entropy on supply chain sustainability is tested. Following the open systems theory and drawing from the collaboration and information management aspects of the negative entropy, co-creation, open innovation and network governance concepts which are considered to be relevant in this context are selected to be the antecedents of negative entropy. The empirical research is conducted on prominent logistics service providers and firms from various sectors with approved research and development departments in Turkey. The obtained data were subjected to covariance-based structural equation modeling analysis via Lisrel program. According to results, negative entropy is found to be a robust element in explaining supply chain sustainability. Furthermore, whereas co-creation and network governance reflected significant effects on negative entropy, surprisingly, open innovation demonstrated no substantial impact. This paper opens up a new front in sustainable supply chain management studies with a notable empirical study introducing negative entropy in the context of open systems theory.

SUBMITTER: Durmaz A

PROVIDER: S-EPMC8536947 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The crucial role of sustainable development and resiliency strategies is undeniable in today’s competitive market space, especially after the Coronavirus outbreak. Hence, this research develops a multistage decision-making framework to investigate the supply chain network design problem considering the sustainability and resiliency dimensions. In this way, the scores of the potential suppliers based on the sustainability and resilience dimensions were calculated using the MADM methods, and then, these scores were applied as inputs in the proposed mathematical model (the second stage), which determined which supplier should be selected. The proposed model aims to minimize the total costs, maximize the suppliers' sustainability and resiliency, and maximize the distribution centers' resiliency. Then, the proposed model is solved by the preemptive fuzzy goal programming method. Overall, the main objectives and aims of the current work are to present a comprehensive decision-making model that can incorporate the sustainability and resilience dimensions into the supplier selection and supply chain configuration processes. In general, the main contributions and advantages of this work can be summarized as follows: (i) this research simultaneously investigates the sustainability and resiliency concepts in the dairy supply chain, (ii) the current work develops an efficient multistage decision-making model that can evaluate the suppliers based on the resilience and sustainability dimensions and configure the supply chain network, simultaneously. Based on the obtained results, the responsiveness and facilities reinforcement indicators are the most important indicators for the resilient aspect. On the other hand, reliability and quality are the most important indicators of sustainability aspect. Also, the results show that a large percentage of supply chain costs are related to purchasing and production costs. Besides, according to the outputs, the total cost of supply chain increases by enhancing the demand. Graphical abstract Supplementary Information The online version contains supplementary material available at 10.1007/s10098-023-02538-8.

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The role of negative entropy within supply chain sustainability.

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