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NPJ Sci Food. 2019 May 16;3:8. doi: 10.1038/s41538-019-0036-x. eCollection 2019.

Food fraud data collection needs survey.

NPJ science of food

John Spink, Christopher Elliott, Moira Dean, Cheri Speier-Pero

Affiliations

  1. 1College of Veterinary Medicine, Michigan State University, 1129 Farm Lane, East Lansing, MI USA.
  2. 2Institute for Global Food Security, Queen's University Belfast, University Road, Belfast, BT7 1NN Northern Ireland UK.
  3. 3Institute for Global Food Security, Queen's University Belfast, University Road, Belfast, BT7 1NN Northern Ireland UK.
  4. 4Department of Supply Chain Management, Broad Business School, Michigan State University, 632 Bogue St. N520, East Lansing, MI 48824 USA.

PMID: 31304280 PMCID: PMC6550154 DOI: 10.1038/s41538-019-0036-x

Abstract

This research project was conducted to understand the data collection needs when addressing food fraud prevention. The foundation for an understanding of the fraud opportunity utilizes a holistic and all-encompassing information sharing system. The anonymous online survey was distributed first to a targeted group of food fraud leaders from manufacturer or brand owner companies and then to a public group. From the 96 survey responses, first, regarding "data" there is generally "enough" and "good enough" data to meet the current assessments and compliance needs. Second, regarding the process, there is a need for more guidance or harmonization on vulnerability assessments, strategy development and management, and correlation to all other enterprise-wide risks (ERM/COSO). Third, there is the general activity of conducting food fraud vulnerability assessments, but there is a lack of clarity or direction on the scope (all types of fraud) and confidence in the conclusions (a clear insight or diagnosis of root-cause). This survey suggests there is a need for more definition and formality of the method and process for addressing food fraud. Finally, a focus on harmonizing terms, vulnerability assessment methods, and then of common policy/strategy will enable the risk assessors to define their future data collection requirements and needs. Further research should explore the specifics of the data collection needs and expand to other stakeholders such as regulators and enforcement.

Keywords: Economics; Science, technology and society

Conflict of interest statement

Competing interestsThe authors declare no competing interests.

References

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