Mitigating Risk in the Tuna Supply through Traceability System Development

This study concerns the mitigation of risk based on advances in food product traceability technology. A case study of the supply, processing and distribution of wild catch tuna on the island of Sulawesi in Indonesia provides the backdrop for describing and analyzing risk agents and how they are interrelated in the supply chain. The purpose of this study is to develop an inductive, empirically based model concerning risk mitigation in seafood supply networks. It builds upon the seminal works of Forrester’s understanding of information distortion, Alderson’s transvection model and Thompson’s interdependency theory.


Editor(s):
IFAMR, IFAMA
Issue Date:
Feb 01 2016
Publication Type:
Journal Article
DOI and Other Identifiers:
(ISSN #: 1559-2448) (Other)
PURL Identifier:
http://purl.umn.edu/230834
Published in:
International Food and Agribusiness Management Review, Volume 19, Issue 1
Page range:
59-82
Total Pages:
24
JEL Codes:
M10; Q10
Note:
The IFAMR is published quarterly by the International Food and Agribusiness Management Association (www.ifama.org)
Series Statement:
Volume 19
Issue 1




 Record created 2017-04-01, last modified 2017-08-29

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