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• Integrating QFD and Kano Model for the Introduction of Dietary Supplement Tablets

  3-18

  Ágnes Kotsis

  Balázs Darnai

  Views:

  351

  The University of Debrecen (UD) is aiming to enter the dietary supplements market with its own branded and self-manufactured products. The goal of our research is to determine the product characteristics which provide a competitive advantage for a dietary supplement capsule about to be launched and translate them into technological parameters of manufacturing. In this research, we aim to find out (K1) which product characteristics contribute the most and (K2) which technological parameters need to be focused on during production. To answer these questions, we integrated the Kano Model was integrated into the "House of Quality" (QFD) model and cluster analysis was conducted. By applying these methods together, we can get a clearer picture of which product characteristics to focus on in product development to achieve the highest increase in customers’ satisfaction. The responses of 298 individuals were analysed based on their consumption habits. According to our results, natural ingredients, scientific background of the University of Debrecen, and safety were attractive factors for identifiable target groups, moreover, the first two attributes contributing the most to customers’ satisfaction. Therefore, we also recommend indicating these on the packaging. Based on the House of Quality analysis, bioactive ingredients emerged as the most important technical parameter, so we recommend its adaption in production.
  
  JEL codes: I12, L11 L66

• The Relationship between Genetics-Based Personalised Nutrition and Dietary Supplement Consumption among the Hungarian Population

  61-71

  Zsófia Ildikó Holbné Nábrádi

  Views:

  411

  Genetic-based personalised nutrition is a concept that adapts diets, foods and nutrients to a person's individual needs (genetic, lifestyle and environmental), of which the use of supplements can be an integral part. Personalised nutrition, as a new technology and nutritional principle, could be a good way to improve the objective health status of the population in a meaningful way. However, previous research has shown that Hungarian consumers are distrustful and uncertain about this new technology, despite its obvious benefits. My main objective is to identify the attitudes towards nutrigenomics in relation to dietary supplement consumer behaviour. My quantitative analysis was carried out on a nationally representative sample of 1000 people. In the present study, I describe the clusters of the Hungarian population based on their dietary supplement consumption behaviour. Each cluster has different opinions on who they perceive as having an advantage in the applicability of genetic-based tests and to what extent they expect consensus among experts on genetic-based tests. Clusters show characteristic differences in openness to innovation and attitudes towards genetically personalised nutrition. I complemented my results with a qualitative study, which I conducted in the form of a netnographic survey. Through content analysis on social media, I identified the most common themes and consumer reactions to personalised nutrition on social media sites. Overall, it was found that dietary supplement consumption and the adoption of genetic-based tests show synergies in the manifestation of openness to novelty, health promotion behaviours, social norms, and positive attitudes.
  
  JEL Codes: A13, I12, P46

• Examination of the Eating Motivations of the Hungarian Population Based on the TEMS-Model

  81-93

  Márk Szakály

  Mihály Soós

  Views:

  397

  Our study fills a gap because we were the first to examine the eating motivations of the Hungarian population using the TEMS questionnaire. Our aim was to analyze the eating motivations of Hungarian consumers in details. To this end, we launched a national questionnaire survey of 1,000 people, which is representative by gender, age, type of settlement, and region. In our survey, we obtained 8 well separated factors, which are the following: Social Anxiety, Comfortable Enjoyment, Health Awareness and Weight Control, Price Sensitivity, Social Eating, Self-Rewarding, Habit and Tradition-Driven Eating, The Tempting Nature of Food. Based on cluster analysis, we classified consumers into 5 clusters: Traditional Simplifiers, Thrifty Social and Emotional Eaters, Balanced Self-Rewards, Health Conscious, Indifferent.
  
  JEL-Codes: A13, D70, I12, Q56