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The Relationship between Genetics-Based Personalised Nutrition and Dietary Supplement Consumption among the Hungarian Population
61-71Views:97Genetic-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
81-93Views:208Our 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 -
International Market Segmentation of European Countries Based on Sports and Health Consumption
33-49Views:265Differences in development of European countries can be seen in many areas. Differences in household expenditure, income inequality and life expectancy have already been revealed by a number of previous studies. However, relatively little attention has been paid to the international variations in household health, sports and recreation spending. In our research, therefore, European countries were segmented on the basis of, among other things, household health, sports and recreation expenditures, pointing out that the level of these expenditures is related to other dimensions of development. As a result of our research, the authors managed to separate four clusters of European countries in terms of sports consumption and three clusters in terms of health consumption, with useful lessons for economic and social policy or profit-oriented companies considering international expansion in the health, sports and recreation markets.
JEL Classification: I12, I14, I15, M30, Z20
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Analysis of University Students’ Behavior Towards Online Grocery Shopping Based on the TAM-Model
3-19Views:435These days new, alternative forms of sales such as parcel delivery, direct sales, telephone and the internet are playing an increasingly important role in commerce. Relevant literature and statistics prove the success of e-commerce at national and international levels. Our aim is to identify a segment of online sales where this performance is still modest. Online grocery shopping has not been integrated into consumer’s life so far compare to other market-leading product categories (clothing, footwear). During the secondary research, we conducted extensive literature analysis using national and international sources. In the course of primary research, a questionnaire survey was conducted as a quantitative procedure. 501 students were involved from the Faculty of Economics of the University of Debrecen in this non-representative survey, in which we sought to reach as many cultures and nations as possible. Our main goal was to answer the question of the factors behind the development of online consumer preferences in the fast moving consumer goods (FMCG) product category. For this the Technology Acceptance Model (TAM) was applied in the primary research. The Likert scale was applied to assess the students’ position on the topic. The 18 statements underlying the analysis were adapted from the researches of Radka and Martin (2018). After the reliability test, a factor analysis was made. The variables were compressed into three factors. Because of the better understanding, the exploratory factor analysis and the data reduction were separated. Principal component analysis was made on the statements belonging to each factor. Subsequently, a cluster analysis of four was conducted or four clusters for Hungarian and foreign students. The hypothesis about the attitude towards buying food online among the FMCG products is more reserved for Hungarian students than for foreign students has been proved.
JEL Classification: M31, Q13
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The Online Marketing Activity of German Farmer Shops
73-91Views:304The importance of digital marketing is increasing significantly. During the current pandemic situation, its shortcomings are even more easily noticeable. Due to the German consumers' green purchasing behaviour, the poor online performance of German farmer shops appeared. The aim of this paper was to analyse the usage of digital marketing tools in this field. A representative database was applied for the descriptive statistics and the principal component analysis as well. Five clusters were defined by the K-mean method. The research of 375 farmer shops highlighted shortcomings in the usage of the website and social media. More than 70% of the farmer shops did not operate any website or did not provide on it all the required information, while only 20% of the shops were available online as a webshop. The low share of digitally well-managed farmer shops (less than 3%) was revealed by the clustering method. These focus mostly on the sale of alcoholic beverages. The social media surfaces meant in the case of many shops the only contact to the consumers, however, the application of these platforms was not common according to the applied method. For the farmer shops, the lack of digital marketing could mean a disadvantage in a short period, however, the increasing importance of online appearance could cause the decrease of interest and sales for a longer period.
JEL Codes: M31, O13, E21 -
Investigation of Healthy Nutrition in Post-Adolescents Complemented with a Sociological Aspects
45-58Views:428In our rapidly evolving world, a healthy lifestyle has got more and more attention. The prevention and gradual development can never be begun early enough. In our research, we examined the healthy, moderate eating habits of post-adolescents complemented with sociological aspects. We performed primary and secondary data collection. We used methods like descriptive statistics, cross-tabulation analysis, factor analysis, and cluster analysis. In terms of sociologic factors, we examined some dimensions of detachment, which confirmed that university citizens are one group of post-adolescents. The healthy eating habits were analysed by food groups and social factors. During the cluster analysis, we separated 5 clusters and evaluated them by the factors. Based on the factor and cluster analyses, we found that university students consider healthy eating to be an important social value.
JEL Codes: A13, I12