Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29556
Title: Product quality information in supply chains: a performance-linked conceptual framework applied to the Australian red meat industry
Contributor(s): Zhang, Yue  (author)orcid ; Baker, Derek  (author)orcid ; Griffith, Garry  (author)orcid 
Publication Date: 2020
Early Online Version: 2020-07-02
DOI: 10.1108/IJLM-06-2019-0157
Handle Link: https://hdl.handle.net/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.
Publication Type: Journal Article
Source of Publication: The International Journal of Logistics Management, 31(3), p. 697-723
Publisher: Emerald Publishing Limited
Place of Publication: United Kingdom
ISSN: 1758-6550
0957-4093
Fields of Research (FoR) 2008: 140201 Agricultural Economics
150309 Logistics and Supply Chain Management
Fields of Research (FoR) 2020: 350909 Supply chains
380101 Agricultural economics
350903 Logistics
Socio-Economic Objective (SEO) 2008: 910203 Industrial Organisations
839903 Livestock Product Traceability and Quality Assurance
Socio-Economic Objective (SEO) 2020: 109904 Livestock product traceability and quality assurance
150503 Industrial organisations
280101 Expanding knowledge in the agricultural, food and veterinary sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science
UNE Business School

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