FURTHER PREDICTIVE STATISTICAL ANALYSIS OF A GFSI SURVEY OF INTERNATIONAL FOOD PROCESSORS

Main Article Content

ANDY MAUROMOUSTAKOS
PHILIP G. CRANDALL
KEVIN C. THOMPSON
CORLISS A. O’BRYAN

Abstract

Food safety and quality regulations that are agreed on by the buyer and seller are the cornerstone of food safety and quality.  Earlier, we reported the top-level survey results of 2,300 food manufacturers as to their costs and benefits of becoming compliant with the benchmarked Global Food Safety Initiative (GFSI) schemes. In this paper, we provide a more in-depth statistical analysis with rationale for using these analyses. The Bradley Terry probability model showed that “existing customer requirements” were 4.6 times more important than “potential new customer requirements.” A Multiple Correspondence Analysis associated the reasons for certification using the following customer demographics: the GFSI scheme (British Retail Consortium [BRC] or Safe Quality Foods [SQF]), the region of the world (Europe/EU or North America/NA) and the food safety risk (high, medium or low). EU companies certified by BRC were primarily driven by wanting to improve their business reputation while those certified by the SQF scheme, mostly in NA, were primarily driven by requirements of an existing customer.  A Generalized Linear Model with the multinomial ANOVA and a cumulative logistic link functioned to estimate the amount of agreement on four important questions about Key Performance Indicators, KPI’s sales/revenues, numbers of customers, employees, and suppliers. A Quantile Regression was used to analyze the length of time companies spent becoming GFSI Certified, with 80% of the companies achieving this goal in less than 1 year. Finally, a Logistic Regression and tree-based models used 24 perceived benefits to predict if certification would be beneficial for a new company considering this option.

Keywords:
Food safety, quality, statistical analytics, large data analysis, analytic survey data, generalized regression models, Bradley-Terry probability model, multi-dimensional preference analysis, multiple correspondence analysis and predictive modeling.

Article Details

How to Cite
MAUROMOUSTAKOS, A., CRANDALL, P. G., THOMPSON, K. C., & O’BRYAN, C. A. (2020). FURTHER PREDICTIVE STATISTICAL ANALYSIS OF A GFSI SURVEY OF INTERNATIONAL FOOD PROCESSORS. Journal of Basic and Applied Research International, 26(2), 39-52. Retrieved from https://archives.biciconference.co.in/index.php/JOBARI/article/view/5093
Section
Original Research Article

References

Anonymous. Google search of GFSI, Global Food Safety Initiative; 2020.
Available:https://www.google.com/search?q=global+food+safety+initiative&rlz=1C1GCEU_
enUS819US820&oq=Global+Food+Safety+Initiative&aqs=chrome.0.0l6.5238j0j8&sourceid=chrome&ie=UTF-8
[Accessed 27 February 2020]

Crandall PG, Mauromoustakos A, O’Bryan CA, Thompson KC, Yiannas F, Bridges NK, Francois C. Impact of the global food safety initiative on food safety worldwide: Statistical analysis of a survey of international food processors. Journal of Food Protection. 2017; 80:1613-1622.

Hensley S. Poll: Americans' concern about food safety drops. NPR. 2011;4:19.
[PM ET. Site visited May 2018]
Available:https://www.npr.org/sections
/health-shots/2011/09/08/140291032/poll-americans-concern-about-food-safety-drops

Lappo A, Bjorndal T, Fernandez-Polanco J, Lem A. Consumers’ concerns and external drivers in food marks. FAO Fisheries and Aquaculture Circular No. 1102; 2015.
Available:http://www.fao.org/3/a-i4939e.pdf

Rohrich JD. The blog, Is our food safe? Huffpost visited May 2018; 2017.
Available:https://www.huffingtonpost.com/jenny-dewey-rohrich/food-safety_b_8160054.html

Knoema. World exports and imports of agricultural products; 2016.
Available:http://knoema.com/cduhihd/world-exports-and-imports-of-agricultural-products
[Accessed 28 January 2016]

Branigan T. Chinese figures show fivefold rise in babies sick from contaminated milk; 2008.
Available:https://web.archive.org/web/20081205093042/http://www.guardian.co.uk/world/2008/dec/02/china

King T, Cole M, Farber J, Eisenbrand G, Zabaras D, Fox E, Hill J. Food safety for food security: Relationship between global megatrends and developments in food safety. Trends in Food Science and Technology. 2017;68:160-175.

Luning P, Kirezieva K, Hagelaar G, Rovira J, Uyttedaele M, Jacxsens L. Performance assessment of food safety management systems in animal-based food companies in view of their context characteristics: A European study. Food Control. 2015;49: 11-22.

Song H, Turson R, Ganguly A, Yu K. Evaluating the effects of supply chain quality management on food firms’ performance. The mediating role of food certification and reputation. International Journal of Operations & Production Management. 2107;37(10):1541-1562.
DOI: 10.1108/IJOPM-11-2015-0666

Chen E, Flint S, Perry P, Perry M, Lau R. Implementation of non-regulatory food safety management schemes in New Zealand: A survey of the food and beverage industry. Food Control. 2015;47:569-576.

Stranieri S, Cavaliere A, Banterle A. Voluntary traceability standards and the role of economic incentives. British Food Journal. 2016;118(5): 1025-1040.
Available:https://doi.org/10.1108/BFJ-04-2015-0151

Crandall P, O’Bryan C, Babu D, Jarvis N, Davis M, Buser M, Adam B, Marcy J, Ricke S. Whole-chain traceability, is it possible to trace your hamburger to a particular steer, a U. S. perspective. Meat Science. 2013;95(2):137-144.

Head ML, Holman L, Lanfear R, Kahn AT, Jennions MD. Perspective the extent and consequences of p-hacking in science. PLOS Biology; 2015.
DOI: 10.1371/journal.pbio.1002106 March 13, 2015

Crandall PG, Van Loo EJ, O’Bryan CA, Mauromoustakos A, Yiannas F, Dyenson N, Berdnik I. Companies’ opinions and acceptance of global food safety initiative benchmarks after implementation. J. Food Prot. 2012;75:1660-1672.
Available:https://scholar.google.com/scholar?cites=15393974083928811703&as_sdt=1005&sciodt=0,4&hl=en

Sall J, Stephens ML, Lehman A, Loring S. JMP ®, Start statistics: A guide to statistics and data analysis using JMP®. Sixth Edition; 2017.