Evaluating barriers to green supply chain redesign and implementation of related practices in the West Africa cashew industry

Agyemang, Martin; Zhu, Qinghua; Adzanyo, Mary; Antarciuc, Elena; Zhao, Senlin

doi:10.1016/j.resconrec.2018.04.011

Cited by 89 publications

(87 citation statements)

References 97 publications

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“…Coordination and collaboration (C7) are the fifth important effect group and classified into linkage variable. Coordination enclosed the channels of union and secure inter-relationship together with joint decision-making and collaborating for ensuring common sustainable goals by integrating local SCM and global SCM (Agyemang et al 2018 ). Quality control of agri products (C8) is the sixth important effect group and classified into linkage variable.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

Modelling Internet of things (IoT)-driven global sustainability in multi-tier agri-food supply chain under natural epidemic outbreaks

Yadav

Luthra²,

Garg

2021

Environ Sci Pollut Res

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Epidemic outbreak (COVID-19, SARS-CoV-2) is an exceptional scenario of agri-food supply chain (AFSC) risk at the globalised level which is characterised by logistics' network breakdown (ripple effects), demand mismatch (uncertainty), and sustainable issues. Thus, the aim of this research is the modelling of the sustainable based multi-tier system for AFSC, which is managed through the different emerging application of Internet of things (IoT) technology. Different IoT technologies, viz., Blockchain, robotics, Big data analysis, and cloud computing, have developed a competitive AFSC at the global level. Competitive AFSC needs cautious incorporation of multi-tiers suppliers, specifically during dealing with globalised sustainability issues. Firms have been advancing towards their multi suppliers for driving social, environments and economical practices. This paper also studies the interrelationship of 14 enablers and their cause and effect magnitude as contributing to IoT-based food secure model. The methodology used in the paper is interpretative structural modelling (ISM) for establishing interrelationship among the enablers and Fuzzy-Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) to provide the magnitude of the cause-effect strength of the hierarchical framework. This paper also provides some theoretical contribution supported by information processing theory (IPT) and dynamic capability theory (DCT). This paper may guide the organisation's managers in their strategic planning based on enabler's classification into cause and effect groups. This paper may also encourage the mangers for implementing IoT technologies in AFSC.

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Section: Discussion Of Findingsmentioning

confidence: 99%

Modelling Internet of things (IoT)-driven global sustainability in multi-tier agri-food supply chain under natural epidemic outbreaks

Yadav

Luthra²,

Garg

2021

Environ Sci Pollut Res

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“…Coordination and collaboration C7is the fifth important effect group and classified into linkage variable. Coordination enclosed the channels of union and secure inter-relationship together with jointly decision taking and collaborating for ensuring common sustainable goals by integrating local SCM and global SCM (Agyemang et al, 2018). Quality control of agri products (C8) is sixth important effect group and classified into linkage variable.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

Modelling Internet of Things (IoT) driven global sustainability in multi-tier agri-food supply chain under natural epidemic outbreaks

Yadav

Luthra²,

Garg

2020

Preprint

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The resilience of Agri-Food Supply Chain (AFSC) due to recent epidemics outbreak (COVID-19, SARS-CoV-2) has not been matching with, globalisation of AFSC, and complicated networking system of AFSC and thus poses huge global sustainable issues. Thus, the aim of this research is the modelling of the sustainable AFSC secure mechanism managed through different emerging application of Internet of Things (IoT) technology (Blockchain, Robotics, Big data analysis and Cloud computing). Competitive Supply Chain Management (SCM) needs cautious incorporation of multi- tiers suppliers, specifically during dealing with globalised sustainability issues. Firms have been advancing towards their multi suppliers for driving social and environments and economical practices. This paper also studies the interrelationship and their cause and effect magnitude among various enablers contributing to IoT based food secure model. The methodology used in the paper is Interpretative Structural Modelling (ISM) for establishing interrelationship among the variables and Fuzzy-Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) to provide the magnitude of the cause‒effect strength of the hierarchical framework. Finally, this paper has limitation of taking only factors related to food security system by considering present natural epidemics of COVID-19. In future, other dimensions of AFSC may be considered based on COVID-19 epidemics effect on AFSC.

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“…One is macro level research, mainly attempting to improve the environmental friendliness of the global supply chain by means of supply chain coordination, logistics network design and optimization, emission control, and waste recovery. The other is micro-level research, focusing on the effect of a certain region, industry or enterprise in green practices, as well as the impact of green practices on economic benefits [19].…”

Section: Green Logistics and Logistics Performancementioning

confidence: 99%

Green Transportation and Logistics Performance: An Improved Composite Index

Xie

Chen

et al. 2019

Sustainability

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This article constructs an environmental logistics performance index (ELPI) for assessing the overall performance in green transportation and logistics practices of 112 countries. The index is measured by logistics performance index (LPI), CO2 emissions and oil consumption from the transport sector, using a range-adjusted measure (RAM) of the data envelopment analysis (DEA). ELPI effectively reflects the tradeoff between logistics efficiency and environmental protection in transportation. This article analyzes the impact of income and region on ELPI scores and discusses those countries’ reduction potential in oil consumption intensity and carbon intensity. The main finding of the research work is that ELPI is strongly correlated with LPI, and countries with high performance in LPI generally perform well in ELPI. Similar to the characteristics of LPI, ELPI is also closely related to income and region. During our study period, high income countries performed best, while Sub-Saharan Africa countries performed worst. However, some exceptions such as Venezuela, RB and Benin, indicate that the level of development of logistics performance and green transportation can outperform or lag behind their income or region group peers.

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Evaluating barriers to green supply chain redesign and implementation of related practices in the West Africa cashew industry

Cited by 89 publications

References 97 publications

Modelling Internet of things (IoT)-driven global sustainability in multi-tier agri-food supply chain under natural epidemic outbreaks

Modelling Internet of things (IoT)-driven global sustainability in multi-tier agri-food supply chain under natural epidemic outbreaks

Modelling Internet of Things (IoT) driven global sustainability in multi-tier agri-food supply chain under natural epidemic outbreaks

Green Transportation and Logistics Performance: An Improved Composite Index

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