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Mitigating traceability risks amongst SMEs along the beef supply chain: A multiple case study approach to investigating the role and potential impact of information technology

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conference contribution
posted on 2023-05-23, 13:46 authored by Amuno, M, Mohammad Sadegh Taskhiri, Paul TurnerPaul Turner
This research-in-progress investigates how information technology can be used to mitigate increasing traceability risks being faced by small and medium sized enterprises (SMEs) along beef industry supply chains. Changing consumer preferences for information on product provenance as well as enhanced food safety requirements have increased the need for businesses to improve their traceability. Unfortunately, most traceability system are designed for large organisations in well-integrated supply chains. For SMEs in fragmented food chains finding ways to respond has proven difficult. Deploying a heuristic traceability framework, the research has used a multiple case study approach that has involved the development, implementation and current on-going evaluation of some low-cost IT traceability tools in 5 different beef supply chain segments involving SMEs. Preliminary results provide new perspectives on the role and potential impact of low cost IT for mitigating risks amongst SMEs in beef chains and for further refining the heuristic traceability framework for SMEs.

History

Publication title

Proceedings of the 2018 Australasian Conference on Information Systems

Editors

I Miliszewska, G Low, G Beydoun

Pagination

1-8

Department/School

School of Information and Communication Technology

Publisher

Association for Information Systems

Place of publication

Australia

Event title

Australasian Conference on Information Systems

Event Venue

Sydney, Australia

Date of Event (Start Date)

2018-12-03

Date of Event (End Date)

2018-12-05

Rights statement

Copyright 2018 the authors. Licensed under Creative Commons Attribution-NonCommercial 3.0 Australia (CC BY-NC 3.0 AU) https://creativecommons.org/licenses/by-nc/3.0/au/ which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and ACIS are credited.

Repository Status

  • Open

Socio-economic Objectives

Livestock product traceability and quality assurance; Information systems, technologies and services not elsewhere classified

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