The Effect of Ingredient Item Depiction on the Packaging Frontal View on Pre- and Post-Consumption Product Evaluations

Weak and interfered self-control fails to block problematic mobile phone use: The role of craving and desire thinking

Problematic mobile phone use (PMPU) has become a worldwide phenomenon with negative impacts on adolescents' daily lives. While self-control has been shown to be related to PMPU, little is known about the underlying mechanisms of this association. Based on the Interaction of Person-Affect-Cognition-Execution model and the strength model of self-control, the current study aims to examine the association between self-control and PMPU, to identify the indirect role of craving, and to determine whether and how the two components of desire thinking exert differential moderating effects. A sample of 1424 adolescents was recruited to complete the scales of self-control, craving, desire thinking, and PMPU. The results suggested that self-control was indirectly associated with PMPU through craving. Furthermore, this indirect association was moderated by verbal perseveration, rather than imaginal prefiguration. Specifically, the indirect association was stronger for adolescents with higher verbal perseveration. The findings deepen our understanding of how self-control is related to PMPU and distinguish the effects of two components of desire thinking among adolescents.

Potential Allergenicity of Plants Used in Allergological Communication: An Untapped Tool for Prevention

Plants are often used to illustrate allergy-related medical products, services, patient information materials and news. The illustration of allergenic plants is an important tool in patient education, contributing to the prevention of pollinosis, as patients can recognize plants and avoid pollen exposure. In this study, it is aimed to evaluate the pictorial content of allergy-related websites depicting plants. A total of 562 different photographs depicting plants were collected using image search, identified and categorized according to their potential allergenicity. Of the total 124 plant taxa, 25% of plants were identified to the genus level and a further 68% were identified to the species level. Plants with low allergenicity were found in 85.4% of the pictures, while plants of high allergenicity were shown in only 4.5% of the pictorial information. Brassica napus was the most frequent species identified (8.9% of the overall identified plants), while blooming Prunoidae, Chrysanthemum spp. and Taraxacum officinale were also common. Considering both allergological and design aspects, some plant species have been proposed for more professional and responsible advertising. The internet has the potential to provide visual support for patient education in allergenic plants, but emphasis must be put on the transmission of the correct visual message.

The Forecasting Sales Volume and Satisfaction of Organic Products through Text Mining on Web Customer Reviews

The purpose of this study was to predict the online sales volume for organic products, identify important factors for selling organic products, and suggest web marketing strategies for organic product sales. Through the review of organic products on Taobao’s platform, the emotional analysis method is used to divide the review of crawling organic products into positive reviews and negative reviews. Using the Latent Dirichlet Allocation (LDA) method, extracting keywords, identifying important factors for selling organic products, using online survey methods and regression analysis methods, obtaining customers’ purchase intentions, and suggesting web marketing strategies for organic product sales, and by collecting data on organic products’ price, current price, free delivery, sales volume, number of customer reviews, customer reviews, organic labeling, and product fans on Taobao’s platform, the neural network analysis method is used to predict the online sales volume for organic products. This study found that packaging design, nutritional information, food quality, delivery risk, freshness, and source risk are the important online factors in the buying of organic products and the products’ fans, price discount, and number of customer reviews affected the sales volume. Therefore, the promotion of online services and logistics can be used to increase the sales of organic products. This research has an important role in promoting the sale of organic products and improving consumer satisfaction, providing consumers with safe and reliable products, and at the same time has important significance for promoting sustainable development.

Facilitating Consumers Choice of Healthier Foods: A Comparison of Different Front-of-Package Labelling Schemes Using Slovenian Food Supply Database

Summary indicator front-of-package nutrition labelling schemes are gaining momentum. In Europe, an example of such a scheme is Nutri-Score, which was first introduced in France. Supported by additional research, the scheme has the potential to expand into other countries. Such a scenario opens a series of questions related to the use of Nutri-Score in the territories with pre-existing food labelling schemes. A key question is whether different nutrition labelling schemes would provide conflicting information for consumers when applied to same foods. The goal of our study was, therefore, to evaluate the alignment of different front-of-package nutrition labelling schemes. The study was conducted using cross-sectional data on the composition of selected categories of prepacked foods with high penetration nutrition/health claims and symbols in the Slovenian food supply. We evaluated a variety of existing front-of-package nutrition labelling schemes: three interpretive nutrition rating systems (Nutri-Score, Health Star Rating (HSR), Traffic light system), four health symbols (Protective Food symbol, Choices, Finnish heart, and Keyhole symbol), and also three nutrient profile models developed for other purposes (Office of Communications (United Kingdom, Ofcom), World Health Organization Regional office for Europe (WHOE) and Food Standards Australia New Zealand (FSANZ)). Overall, our results indicate that interpretive nutrition rating systems (i.e., Nutri-Score) are mostly less strict than the nutrient profiles of tested health symbols. A risk of conflicting information would happen in a scenario where food is eligible to carry a health symbol, but is at the same time rated to have lower nutritional quality by an accompanying interpretive nutrition rating system. When Protective Food symbol and Nutri-Score are used together, this would occur for 5% of foods in our sample. To avoid such risks, schemes for health symbols could be adapted to be stricter than interpretive nutrition rating systems used in the same territory/market, but such adaptations are challenging and should be well planned. While our study showed that, in most cases, Nutri-Score is a less strict model than tested health symbols, the rating-system approach might offer useful support and incentive for food producers towards gradual food reformulation.