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4 results on '"Fraud implementation framework"'

1. Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing

Author

Francis Butler, Niels Lucas Luijckx, Hans J.P. Marvin, Yamine Bouzembrak, and Vahid Mojtahed

Subjects
Food fraud, Testing, Sampling, Fraud detection, Fraud implementation framework, Statistical aspects, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456
Abstract

Food fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive. Available databases detailing fraud occurrences were systematically examined to determine how frequently analytical testing triggered fraud detection. A conceptual framework was developed for deciding when to implement analytical testing programmes for fraud and a framework to consider the economic costs of fraud and the benefits of its early detection. Factors associated with statistical sampling for fraud detection were considered. Choice of sampling location on the overall food-chain may influence the likelihood of fraud detection.

Published
2021
Full Text
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2. Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing : Role of analytical testing for food fraud mitigation

Subjects
Food fraud, ComputingMethodologies_PATTERNRECOGNITION, Team Agrochains, Fraud detection, Testing, ComputingMilieux_COMPUTERSANDSOCIETY, ComputingMilieux_LEGALASPECTSOFCOMPUTING, Statistical aspects, Sampling, Fraud implementation framework
Abstract

Food fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive. Available databases detailing fraud occurrences were systematically examined to determine how frequently analytical testing triggered fraud detection. A conceptual framework was developed for deciding when to implement analytical testing programmes for fraud and a framework to consider the economic costs of fraud and the benefits of its early detection. Factors associated with statistical sampling for fraud detection were considered. Choice of sampling location on the overall food-chain may influence the likelihood of fraud detection.

Published
2021

3. Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing : Role of analytical testing for food fraud mitigation

Author

Butler, Francis, Luijckx, Niels Lucas, Marvin, Hans J.P., Bouzembrak, Yamine, Mojtahed, Vahid, Butler, Francis, Luijckx, Niels Lucas, Marvin, Hans J.P., Bouzembrak, Yamine, and Mojtahed, Vahid

Abstract

Food fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive. Available databases detailing fraud occurrences were systematically examined to determine how frequently analytical testing triggered fraud detection. A conceptual framework was developed for deciding when to implement analytical testing programmes for fraud and a framework to consider the economic costs of fraud and the benefits of its early detection. Factors associated with statistical sampling for fraud detection were considered. Choice of sampling location on the overall food-chain may influence the likelihood of fraud detection.

Published
2021

4. Role of analytical testing for food fraud risk mitigation - A commentary on implementation of analytical fraud testing: Role of analytical testing for food fraud mitigation.

Author

Butler F, Luijckx NL, Marvin HJP, Bouzembrak Y, and Mojtahed V

Abstract

Food fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive. Available databases detailing fraud occurrences were systematically examined to determine how frequently analytical testing triggered fraud detection. A conceptual framework was developed for deciding when to implement analytical testing programmes for fraud and a framework to consider the economic costs of fraud and the benefits of its early detection. Factors associated with statistical sampling for fraud detection were considered. Choice of sampling location on the overall food-chain may influence the likelihood of fraud detection., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Author(s).)

Published
2021
Full Text
View/download PDF

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