Consumers' awareness,acceptance and attitudes towards functional foods in Turkey

The aim of the present study was to investigate consumers' awareness, acceptance and attitudes towards functional foods in Turkey. Eight hundred and eight people participated in this study: aged between 20 and 80 years, 38.5% were male and 61.5% were female. Participants were given a questionnaire and were asked to fill it in by themselves to minimize the influence of the interviewer. Results indicated that socio‐demographic characteristics such as age, education level and income level are important indicators of consumers' awareness and consumption of functional food. The results show that the female respondents were 2.987 times more aware of functional food than the male respondents. Similarly, the likelihood of respondents having awareness of functional food was 1.431 times greater among those who had a higher educational level than among those with a lower educational level. Consumers who used vitamin supplements were 1.228 times more aware of functional food than other consumers. The results show that older respondents were 3.395 times more aware of functional food than younger respondents. Respondents with a history of familial diseases were more likely than others to have consumed margarine with plant sterol, fruit juices fortified with vitamin C, and breakfast cereals fortified with vitamins and minerals. Those with a diet‐related problem were more likely to have consumed cholesterol‐lowering products than those without a problem. As a conclusion, this study has shown that socio‐demographic characteristics such as age, education and income levels, and prices are important indicators that influence consumers' awareness and consumption of functional food. These results suggest that this type of knowledge could affect consumers' interest in functional foods, and therefore educational strategies might be necessary to encourage the consumption of functional foods.     

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High-Dimension Regime

In this study, we suggest pretest and shrinkage methods based on the generalised ridge regression estimation that is suitable for both multicollinear and high-dimensional problems. We review and develop theoretical results for some of the shrinkage estimators. The relative performance of the shrinkage estimators to some penalty methods is compared and assessed by both simulation and real-data analysis. We show that the suggested methods can be accounted as good competitors to regularisation techniques, by means of a mean squared error of estimation and prediction error. A thorough comparison of pretest and shrinkage estimators based on the maximum likelihood method to the penalty methods. In this paper, we extend the comparison outlined in his work using the least squares method for the generalised ridge regression.     

The effect of entrepreneurship education in schools on entrepreneurial outcomes: a systematic review

Management Review Quarterly - This study systematically reviewed 21 quantitative and qualitative articles on the effect of entrepreneurship education in schools. We reviewed short-term effects,...     

Libra — A Differentiated View on Facebook’s Virtual Currency Project

Intereconomics - Libra — a global virtual currency project initiated by Facebook — has been the subject of many controversial discussions since its announcement in June 2019. This paper...