A system dynamics approach for modeling a food safety incident: Borax incident for WDL Flour Company
DOI:
https://doi.org/10.14738/aivp.92.9992Keywords:
Food safety incident; Risk management; Communication; System dynamicsAbstract
With the rapid increase of food supply, food safety incidents occur frequently. Therefore, how to prevent food safety incident and improve food safety management have become an open issue. In this paper, a particular food safety incident, that is, Borax incident for WDL Flour Company, is analyzed using system dynamics approach for providing guidance for food safety management, which usually involves multiple organizations and factors. To do this, a system dynamics (SD) model including a two-way communication mechanism between five organizations is established to simulate the process of the incident and the response of the company. The results show that the present SD model is effective to simulate the actual process of the food safety incident. Further, to explore the role of two-way communication in food safety incident control, five cases that respond to the process of two-way communication are assumed and the corresponding SD models to the five cases are established. It is revealed that the two-way communication between the five organizations plays an important role in food safety incident management, and its influence on food safety is systematic and nonlinear.
References
[1]. Costa-Font, et al., Consumer acceptance, valuation of and attitudes towards genetically modified food: Review and implications for food policy. Food Policy, 2008, 33: 99-111.
[2]. Frewer, L.J., et al., Consumer response to novel agri-food technologies: Implications for predicting consumer acceptance of emerging food technologies. Trends in Food Science & Technology, 2011, 22: 442-456.
[3]. Frewer, L.J., et al., Public perceptions of agri-food applications of genetic modification–A systematic review and meta-analysis. Trends in Food Science & Technology, 2013, 30: 142-152.
[4]. Kher, S.V., et al., Consumer perceptions of risks of chemical and microbiological contaminants associated with food chains: a cross-national study. International Journal of Consumer Studies, 2013, 37: 73-83.
[5]. Verbeke, W., Beliefs, attitude and behaviour towards fresh meat revisited after the Belgian dioxin crisis. Food Quality and Preference, 2001, 12: 489-498.
[6]. Poortinga, W., and Pidgeon, N.F., Trust in Risk Regulation: Cause or Consequence of the Acceptability of GM Food?. Risk Analysis, 2005, 25: 199-209.
[7]. Frewer, L.J., et al., Risk/Benefit Communication about Food—A Systematic Review of the Literature. Critical Reviews in Food Science and Nutrition, 2016, 56: 1728-1745.
[8]. Kuttschreuter, M., and Hilverda, F., “Listen, did you hear…?” A structural equation model explaining online information sharing on the risks of nanotechnology in food. Food Quality and Preference, 2019, 76: 118-132.
[9]. Yang, Y., et al., Application of Bayesian modelling to assess food quality & safety status and identify risky food in China market. Food Control, 2019, 100: 111-116.
[10]. Ha, T.M., et al., Linkages among food safety risk perception, trust and information: Evidence from Hanoi consumers. Food Control, 2020, 110: 106965.
[11]. Nayak, R., and Waterson, P., Global food safety as a complex adaptive system: Key concepts and future prospects. Trends in Food Science & Technology, 2019, 91: 409-425.
[12]. Wang, Z.G., et al., Study on Main Factors Affecting Food Safety in China: questionnaire survey on urban and rural residents in 21 provinces and cities (in Chinese). Quality and Safety of Agro-Products, 2012, 2: 11-21.
[13]. Ma, X.N., and Du, M.H., Analysis of risk factors and responsibility subjects for food safety in China (in Chinese). Journal of Food Safety and Quality, 2015, 6(8): 3167-3171.
[14]. Zhang, E.D., The legitimacy of the food safety compulsory liability insurance in China (in Chinese). Insurance Studies, 2015, 6(8): 95-101.
[15]. Xu, Y., and Szmerekovsky, J., System dynamic modeling of energy savings in the US food industry. Journal of Cleaner Production, 2017, 165: 13-26.
[16]. Findiastuti, W., et al., Indonesian sustainable food-availability policy assessment using system dynamics: A solution for complexities. Cogent Food & Agriculture, 2018, 4: 1455795.
[17]. Mu, J., et al., Influening mechanism of food safety culture in enterprise based on system dynamics (in Chinese). The Food Industry, 2016, 37(8): 226-230.
[18]. Wu, Y.N., et al., Food safety risk assessment in China: Past, present and future. Food Control, 2018, 90: 212-221.
[19]. Liang, L., Study on risk communication framework and influence factors of food safety (in Chinese). Journal of Henan Agricultural University, 2020, 54: 543-550.
[20]. China Food and Drug Administration, National Center for Food Safety Risk Assessment. Theoretical exploration of food safety risk (in Chinese). China Quality Inspection Press, Standards Press of China. 2015.
[21]. Song, Y.Y., et al., Boron background value survey of some foodstuffs in 12 provinces of China and boron primary intake estimation of Chinese habitants (in Chinese). Joural of Hygiene Research, 2011, 40(4): 431-433.
[22]. Wang, Q.F., System dynamics (in Chinese). Tsinghua University Press, 1994.
[23]. Zhang, X.C., et al., Evaluation and simulation for ecological risk based on emergy analysis and Pressure-State-Response Model in a coastal city, China. Procedia Environmental Sciences, 2012, 13: 221-231.
[24]. Forrester, J.W., and Senge, P.M., Test for building confidence in System Dynamics models, in TIMS Studies in the Managenwnt Sciences, Legasto Jnr, A.A., Forrester, J.W. and Lyneis, J.M. (Editors). 1980, North-Holland Publishing Company: Amsterdam. p. 209-228.
[25]. Barlas, Y., Formal aspects of model validity and validation in system dynamics. System Dynamics Review, 1996, 12: 183-210.
[2]. Frewer, L.J., et al., Consumer response to novel agri-food technologies: Implications for predicting consumer acceptance of emerging food technologies. Trends in Food Science & Technology, 2011, 22: 442-456.
[3]. Frewer, L.J., et al., Public perceptions of agri-food applications of genetic modification–A systematic review and meta-analysis. Trends in Food Science & Technology, 2013, 30: 142-152.
[4]. Kher, S.V., et al., Consumer perceptions of risks of chemical and microbiological contaminants associated with food chains: a cross-national study. International Journal of Consumer Studies, 2013, 37: 73-83.
[5]. Verbeke, W., Beliefs, attitude and behaviour towards fresh meat revisited after the Belgian dioxin crisis. Food Quality and Preference, 2001, 12: 489-498.
[6]. Poortinga, W., and Pidgeon, N.F., Trust in Risk Regulation: Cause or Consequence of the Acceptability of GM Food?. Risk Analysis, 2005, 25: 199-209.
[7]. Frewer, L.J., et al., Risk/Benefit Communication about Food—A Systematic Review of the Literature. Critical Reviews in Food Science and Nutrition, 2016, 56: 1728-1745.
[8]. Kuttschreuter, M., and Hilverda, F., “Listen, did you hear…?” A structural equation model explaining online information sharing on the risks of nanotechnology in food. Food Quality and Preference, 2019, 76: 118-132.
[9]. Yang, Y., et al., Application of Bayesian modelling to assess food quality & safety status and identify risky food in China market. Food Control, 2019, 100: 111-116.
[10]. Ha, T.M., et al., Linkages among food safety risk perception, trust and information: Evidence from Hanoi consumers. Food Control, 2020, 110: 106965.
[11]. Nayak, R., and Waterson, P., Global food safety as a complex adaptive system: Key concepts and future prospects. Trends in Food Science & Technology, 2019, 91: 409-425.
[12]. Wang, Z.G., et al., Study on Main Factors Affecting Food Safety in China: questionnaire survey on urban and rural residents in 21 provinces and cities (in Chinese). Quality and Safety of Agro-Products, 2012, 2: 11-21.
[13]. Ma, X.N., and Du, M.H., Analysis of risk factors and responsibility subjects for food safety in China (in Chinese). Journal of Food Safety and Quality, 2015, 6(8): 3167-3171.
[14]. Zhang, E.D., The legitimacy of the food safety compulsory liability insurance in China (in Chinese). Insurance Studies, 2015, 6(8): 95-101.
[15]. Xu, Y., and Szmerekovsky, J., System dynamic modeling of energy savings in the US food industry. Journal of Cleaner Production, 2017, 165: 13-26.
[16]. Findiastuti, W., et al., Indonesian sustainable food-availability policy assessment using system dynamics: A solution for complexities. Cogent Food & Agriculture, 2018, 4: 1455795.
[17]. Mu, J., et al., Influening mechanism of food safety culture in enterprise based on system dynamics (in Chinese). The Food Industry, 2016, 37(8): 226-230.
[18]. Wu, Y.N., et al., Food safety risk assessment in China: Past, present and future. Food Control, 2018, 90: 212-221.
[19]. Liang, L., Study on risk communication framework and influence factors of food safety (in Chinese). Journal of Henan Agricultural University, 2020, 54: 543-550.
[20]. China Food and Drug Administration, National Center for Food Safety Risk Assessment. Theoretical exploration of food safety risk (in Chinese). China Quality Inspection Press, Standards Press of China. 2015.
[21]. Song, Y.Y., et al., Boron background value survey of some foodstuffs in 12 provinces of China and boron primary intake estimation of Chinese habitants (in Chinese). Joural of Hygiene Research, 2011, 40(4): 431-433.
[22]. Wang, Q.F., System dynamics (in Chinese). Tsinghua University Press, 1994.
[23]. Zhang, X.C., et al., Evaluation and simulation for ecological risk based on emergy analysis and Pressure-State-Response Model in a coastal city, China. Procedia Environmental Sciences, 2012, 13: 221-231.
[24]. Forrester, J.W., and Senge, P.M., Test for building confidence in System Dynamics models, in TIMS Studies in the Managenwnt Sciences, Legasto Jnr, A.A., Forrester, J.W. and Lyneis, J.M. (Editors). 1980, North-Holland Publishing Company: Amsterdam. p. 209-228.
[25]. Barlas, Y., Formal aspects of model validity and validation in system dynamics. System Dynamics Review, 1996, 12: 183-210.
Downloads
Published
2021-04-28
How to Cite
Liang, L. (2021). A system dynamics approach for modeling a food safety incident: Borax incident for WDL Flour Company. European Journal of Applied Sciences, 9(2), 265–282. https://doi.org/10.14738/aivp.92.9992
Issue
Section
Articles
