Product quality information in supply chains: a performance-linked conceptual framework applied to the Australian red meat industry

Title
Product quality information in supply chains: a performance-linked conceptual framework applied to the Australian red meat industry
Publication Date
2020
Author(s)
Zhang, Yue
( author )
OrcID: https://orcid.org/0000-0002-0620-5766
Email: zyue@une.edu.au
UNE Id une-id:zyue
Baker, Derek
( author )
OrcID: https://orcid.org/0000-0001-8083-5291
Email: abaker33@une.edu.au
UNE Id une-id:abaker33
Griffith, Garry
( author )
OrcID: https://orcid.org/0000-0002-5276-6222
Email: ggriffit@une.edu.au
UNE Id une-id:ggriffit
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Emerald Publishing Limited
Place of publication
United Kingdom
DOI
10.1108/IJLM-06-2019-0157
UNE publication id
une:1959.11/29556
Abstract
Purpose - This paper aims to address the association between the quality and quantity of information in supply chains and the costs and benefits of generating, using and sharing it.
Design/methodology/approach - The authors’ conceptual framework draws on multiple disciplines and theories of the value and use of product information. Controllable aspects of information, its quality and quantity, are the focus of the study as drivers of firm and chain performance. Structural equation models of constructs at two stages of the Australian red meat supply chain are employed, using data from a survey of 81 sheep and cattle breeders and commercial producers.
Findings - Information quality influences performance more for some product attributes than others and is more influential than is information quantity. Information sharing for many attributes generates benefits only at high cost. Investment in measurement and transmission technologies is supported for intrinsic and extrinsic measures of quality. Differences in respondents' evaluation of information quality are interpreted as evidence of persistent chain failure.
Originality/value - To the authors' knowledge, this is the first attempt at quantifying and comparing the benefits and costs of information sharing across multiple stages of a supply chain and the first to assess quantitatively the role played by information quality and quantity in generating costs and benefits.
Link
Citation
The International Journal of Logistics Management, 31(3), p. 697-723
ISSN
1758-6550
0957-4093
Start page
697
End page
723

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