Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

Priyadarshi, Rahul; Routroy, Srikanta; Garg, Girish Kant

doi:10.1108/jbim-04-2020-0182

Cited by 2 publications

(8 citation statements)

References 75 publications

(105 reference statements)

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“…Surucu-Balci and Tuna (2021), for instance, explored logistics-related drivers of food loss, and the results of their analytical hierarchy process revealed that warehousing-related factors were key to such loss. Priyadarshi et al. (2022) used fuzzy TOPSIS to explore factors that enabled vertical consolidation in post-harvest agri-food supply chains, the analytical results of which indicated that warehousing played a paramount role in that process.…”

Section: Literature Reviewmentioning

confidence: 99%

Artificial intelligence-based food-quality and warehousing management for food banks' inbound logistics

Wu,

Tai

2024

JEIM

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PurposeIn the reduction of food waste and the provision of food to the hungry, food banks play critical roles. However, as they are generally run by charitable organisations that are chronically short of human and other resources, their inbound logistics efforts commonly experience difficulties in two key areas: 1) how to organise stocks of donated food, and 2) how to assess the donated items quality and fitness for purpose. To address both these problems, the authors aimed to develop a novel artificial intelligence (AI)-based approach to food quality and warehousing management in food banks.Design/methodology/approachFor diagnosing the quality of donated food items, the authors designed a convolutional neural network (CNN); and to ascertain how best to arrange such items within food banks' available space, reinforcement learning was used.FindingsTesting of the proposed innovative CNN demonstrated its ability to provide consistent, accurate assessments of the quality of five species of donated fruit. The reinforcement-learning approach, as well as being capable of devising effective storage schemes for donated food, required fewer computational resources that some other approaches that have been proposed.Research limitations/implicationsViewed through the lens of expectation-confirmation theory, which the authors found useful as a framework for research of this kind, the proposed AI-based inbound-logistics techniques exceeded normal expectations and achieved positive disconfirmation.Practical implicationsAs well as enabling machines to learn how inbound logistics are handed by human operators, this pioneering study showed that such machines could achieve excellent performance: i.e., that the consistency provided by AI operations could in future dramatically enhance such logistics' quality, in the specific case of food banks.Originality/valueThis paper’s AI-based inbound-logistics approach differs considerably from others, and was found able to effectively manage both food-quality assessments and food-storage decisions more rapidly than its counterparts.

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Section: Literature Reviewmentioning

confidence: 99%

Artificial intelligence-based food-quality and warehousing management for food banks' inbound logistics

Wu,

Tai

2024

JEIM

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“…A higher amount of waste has often been observed in longer downstream supply chains. Thus, intermediaries in the supply shall be reduced as much as possible (Villalobos et al, 2019;Priyadarshi et al, 2022aPriyadarshi et al, , 2022b. Establishing local markets, supermarkets and export markets will tend to reduce post-yield losses (Gunasekera et al, 2017).…”

Section: Literature Surveymentioning

confidence: 99%

“…The loss in exports was observed as fresh produce faced temperature stresses in the absence/mismanagement of reefer containers (Bhatnagar et al, 2019). The technique of food processing/value addition eventually increases farmers' revenue by extending the shelf-life of the produce and market prospects (Bhatnagar et al, 2019;Anand and Barua, 2022;Priyadarshi et al, 2022aPriyadarshi et al, , 2022bGaneshkumar et al, 2023). The above types of losses have resulted in revenue losses in PYSC, leading to lesser returns on investment (Bhatnagar et al, 2019;Minten et al, 2021;Anand and Barua, 2022;Akpa et al, 2023;Ganeshkumar et al, 2023).…”

Section: Literature Surveymentioning

confidence: 99%

“…H1. The SFM make positive impacts on OFM to take operational-level decisions that were already covered at the strategic level to reduce spoilage (Gunasekera et al, 2017;Bhatnagar et al, 2019;Priyadarshi et al, 2022aPriyadarshi et al, , 2022bAkpa et al, 2023).…”

Section: Structural Equation Modellingmentioning

confidence: 99%

“…H2. The SFM make positive impacts on TFM to reduce fresh produce spoilage with strategic policies designed in advance with government intervention (Gunasekera et al, 2017;Priyadarshi et al, 2022aPriyadarshi et al, , 2022bAkpa et al, 2023;Ganeshkumar et al, 2023).…”

Section: Structural Equation Modellingmentioning

confidence: 99%

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Observation of post-yield supply chain impediments for spoilage mitigation and revenue generation opportunities at countryside

Priyadarshi

2023

JGOSS

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Purpose The countryside population has always been depended on the revenues earned from agricultural yields. These yields often suffer losses in the absence of coordination guidelines in the post-yield supply chains (PYSC). This study aims to identify, address and mitigate the post-yield supply chain impediments (PYSCIs) that lead to enormous amounts of waste and revenue losses. These are the parameters that require government and stakeholders’ attention for alleviation from losses. Design/methodology/approach Structural equation modelling (SEM) was performed to categorise the identified PYSCIs as “standard measures”. The motive for SEM results is to attract the stakeholders’ attention toward PYSCIs for business sustainability. The PYSCIs were clustered into three “standard measures” (i.e. strategic, tactical and operational measures) for revenue generation and reduced fresh produce spoilage in the countryside. Findings The SEM results suggest that the focus should be on revising minimum support prices and government support for initiatives, subsidy schemes and incentives at the strategic level. Tactical initiatives focus on linking markets including exports, research and development, attitude towards certification, value addition process adoption and reduced number of stages in the supply chain. The operational initiatives are attitudes towards agriculture and entrepreneurship, transportation infrastructure, supply chain coordination, information visibility, scientific design for packaging and handling and storage space availability for both long and short term at the village level. Research limitations/implications This study was performed in India; thus, the research outcomes of this study are restricted to adaption into the developing sub-continents with sub-tropical climates. Practical implications The existing level of losses in the PYSC demands introspection and policy changes at the farm level. In the era of cold chains, the Internet of Things, and other advanced mechanisms, a few elementary parameters must be worked upon to reduce PYSC losses. These parameters were identified as impediments to PYSC, requiring public, government and stakeholders’ attention. There is an urgent need for guidelines to be issued to mitigate losses. SEM was performed to attract the public, government and stakeholders’ attention toward impediments to fresh produce spoilage, opportunity generation and business sustainability. Originality/value This study uses a novel SEM approach where the PYSCIs were identified and empirically validated in an Indian context. The SEM approach will help in effective decision-making. Similar studies to manage the PYSCIs to reduce fresh produce spoilage with standard measures have not been reported in the literature.

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Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

Cited by 2 publications

References 75 publications

Artificial intelligence-based food-quality and warehousing management for food banks' inbound logistics

Artificial intelligence-based food-quality and warehousing management for food banks' inbound logistics

Observation of post-yield supply chain impediments for spoilage mitigation and revenue generation opportunities at countryside

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