Self-Explanatory Nutrition Business Models of Consumer Behavior

Martinovski, Sasko (2016) Self-Explanatory Nutrition Business Models of Consumer Behavior. International Journal of Business and Management Invention. ISSN ISSN (Online): 2319-8028, ISSN (Print): 2319-801X

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Research on the degree of influence of nutritional properties (labeling) of foodstuffs on consumer behavior shows an increasing trend, and therefore, the successful operation of large companies may depend on the inclusion of the nutritional status determinant in their food stuffs. Although consumer behavior is complex and different, it has structural and functional characteristics which can efficiently be simulated with modeling, and later on the basis of the generated model, to create software which is powerful and easy to use. The research subject of this paper is the use of modeling for creating business models of consumer behavior when purchasing food products, by including the determinant of nutritional status and involving a selfexplanatory component. The first objective is to develop a nutrition business model of consumer behavior in order to obtain information on the extent of the impact of nutritional labeling when buying food products and information related to significant new elements of the nutritional determinant that should be included in foodstuffs. The second objective is to implement in the business model an explanation of that model so that the user could obtain information on the methodologies used, i.e. an explanation of how the output was obtained in correlation with the methodologies and model input. This paper showcases a concept of modeling for building a business model of consumer behavior. The model is developed by using modern technologies such as Geographic information system (GIS) and data mining. The modeling is done in several stages in an entity-relationship diagram, by including a so called self-explanatory component in the model. A partial implementation of the nutrition behavior pattern was done with data obtained from the survey conducted among students enrolled in the first and second cycle at the Faculty of Technology and Technical Sciences in Veles, R.Macedonia and the analysis included statistical methods and data mining. Keywords: Data Mining, GIS, Nutrition Business Model, Modeling, Self-explanatory

Item Type: Article
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Scientific Fields (Frascati) > Social Sciences > Economics and Business
Divisions: Faculty of Technology and Technical Sciences
Depositing User: Mr Jordan Martinovski
Date Deposited: 05 Oct 2017 08:59
Last Modified: 06 Feb 2019 15:01

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