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Modeling Consumer Behavior for High ...

Watkins, Megan Elizabeth.

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Modeling Consumer Behavior for High Risk Foods.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling Consumer Behavior for High Risk Foods./
作者:	Watkins, Megan Elizabeth.
面頁冊數:	73 p.
附註:	Source: Masters Abstracts International, Volume: 54-05.
Contained By:	Masters Abstracts International54-05(E).
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1590784
ISBN:	9781321805253

Modeling Consumer Behavior for High Risk Foods.
Watkins, Megan Elizabeth.

Modeling Consumer Behavior for High Risk Foods. - 73 p.

Source: Masters Abstracts International, Volume: 54-05.

Thesis (M.S.)--North Carolina Agricultural and Technical State University, 2015.

According to the Centers for Disease Control and Prevention (CDC), one in six Americans become ill or die from foodborne contaminations (CDC, 2011). Contamination (intentional or unintentional) can occur at any point in the food supply chain. Flaws in security, quality control, or transportation are some examples of how food is susceptible to intentional acts of sabotage. Certain foods are more susceptible to contamination such as meats, dairy, fruits, vegetables, and eggs. In order to build a secure and resilient food supply chain network, food producers and manufacturers need to have the ability to assess contamination risks resulting from manufacturing processes. In this paper, demographic factors are quantified as a function of purchasing and consumption frequency of food susceptible to recalls. A survey is constructed and administered to identify consumption and purchasing behavior of high risk foods. Using the data from the survey, a logistic regression model is developed to determine the likelihood of purchasing high risk food items based on shopping behavior and demographic information. Subsequently, a Poisson regression model is developed to predict consumers' consumption frequency. The results of the research will lead to a better understanding of consumer behavior in relation to food choices. Furthermore, understanding purchasing and consumption behavior will enable food producers to design better policies for securing the nation's food supply.

ISBN: 9781321805253Subjects--Topical Terms:

649730
Mechanical engineering.

Modeling Consumer Behavior for High Risk Foods.
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