Evidence map›Paper›PMID 36777894›Full record

ArticleSocio-economic planning sciences2023

Modelling supply chain sustainability challenges in the food processing sector amid the COVID-19 outbreak.

Ananna Paul, Nagesh Shukla, Andrea Trianni

Abstract read
In one paragraph

Article in Socio-economic planning sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ananna PaulFaculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia.
Nagesh ShuklaDepartment of Business Strategy and Innovation, Griffith Business School, Griffith University, Nathan Campus, QLD 4111, Australia.
Andrea TrianniSchool of Mechanical and Mechatronic Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent COVID-19 pandemic has significantly impacted most businesses and their supply chains. Due to the negative impacts of COVID-19, businesses have been facing numerous challenges. Among them, sustainability challenges are critical for any supply chain. In the literature, several studies have discussed the impacts of the COVID-19 pandemic on supply chains; however, there is a significant research gap in analysing supply chain sustainability challenges amid the COVID-19 outbreak in a particular context. To fill this research gap, this study aims to develop a systematic approach to identifying and analysing COVID-19 outbreak-related supply chain sustainability challenges in the context of the Australian food processing sector. To achieve the aims, this paper develops a mixed-method approach consisting of both qualitative and quantitative techniques, namely online survey and the Best-Worst method. From the online survey among experts from the Australian food processing sector, 22 sustainability challenges were finalised and categorised into four categories, namely, economic, environmental, social and ethical, and operational challenges. The empirical findings from the exploratory investigation reveal that increased food processing cost, lack of transparency and traceability, increase in price of raw materials, lack of capital and physical resources, and spread of fake information are the top five sustainability challenges to the Australian food processing sector due to the impacts of the COVID-19 outbreak. The findings of this study will help decision-makers, practitioners, and policymakers by developing the policies, guidelines, and strategies to overcome the most impactful sustainability challenges to ensure sustainable recovery from the impacts of the COVID-19 outbreak.

Indexed as

Best-worst methodCOVID-19 outbreakFood processing sectorSupply chainSustainability challenges

Identifiers

PMID36777894
PMCPMC9899701

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.