[The on-line turnover of biologically active additives. Part I. Legal regulation of on-line market of imported biologically active additives in Russia].

The interest of population to biologically active additives drastically increased both due to consequences of the COVID-19 corona-virus infection and dynamic development of online trade and active propaganda of healthy lifestyle through mass media. Such production contains in its compound substances that are necessary for maintaining normal vital activity of organism and increasing human immunity. In other cases it can be used as additional and auxiliary agent of treatment of various diseases. In Russia, biologically active additives can be sold through three channels: pharmacies, on-line market and network marketing. In Russia, the results of monitoring of on-line market in 2021-2022 testifies that purchasing of such biologically active additives at on-line platforms turned out to be the riskiest action for human life and health. The biologically active additives were sold at on-line market with serious violations that confirms their danger to health and in some cases for human life. The study demonstrated that nowadays there is no clear-cut legal regulation of turn-over of imported biologically active additives at on-line market. The article presents detailed analysis of normative legal field that regulates in Russia on-line trade of imported biologically active additives and relevant conclusions and recommendations.

Consumer preferences for attributes in sweet beverages and market impacts of beverage innovation.

Consumption of sugar-sweetened beverages (SSB) is considered as an important risk factor for the development of overweight and obesity in populations worldwide, with a particular focus on the risks in the younger parts of the population - children and adolescents. Together with fiscal measures and information tools, innovation-based approaches such as the development of sugar-free or sugar-reduced versions of established beverages and development of new beverage products have been used to reduce this challenge, but the effects of product innovation on sugar intake are not well understood from the literature, as previous studies have largely ignored substitution effects of product innovation in the beverage domain. The objective of the present study was to investigate the potential effectiveness of product innovation as a strategy to affect consumers' intake of energy from sweetened non-alcoholic beverages. Using household panel shopping data from approximately 3000 Danish households over the years 2006-2014, we developed a hedonic pricing approach to estimate the influence of product attributes on consumers' utility, based on observed data for Danish households' purchases of sweet drinks. Overall, the study found that beverages' degree of sweetness positively affected the satiation effect of beverage consumption and in turn made the demand for these beverages less sensitive to e.g. price changes or introduction of competing products, whereas the energy density of the beverages positively affected the demand sensitivity to market changes. Findings like these can be useful for assessing market effects as well as environmental and public health impacts of changes to the market environment.

Effects of red meat taxes and warning labels on food groups selected in a randomized controlled trial.

BACKGROUND: High consumption of red and processed meat contributes to both health and environmental harms. Warning labels and taxes for red meat reduce selection of red meat overall, but little is known about how these potential policies affect purchases of subcategories of red meat (e.g., processed versus unprocessed) or of non-red-meat foods (e.g., cheese, pulses) relevant to health and environmental outcomes. This study examined consumer responses to warning labels and taxes for red meat in a randomized controlled trial. METHODS: In October 2021, we recruited 3,518 US adults to complete a shopping task in a naturalistic online grocery store. Participants were randomly assigned to one of four arms: control (no warning labels or tax), warning labels only (health and environmental warning labels appeared next to products containing red meat), tax only (prices of products containing red meat were increased 30%) or combined warning labels + tax. Participants selected items to hypothetically purchase, which we categorized into food groups based on the presence of animal- and plant-source ingredients (e.g., beef, eggs, pulses), meat processing level (e.g., processed pork versus unprocessed pork), and meat species (e.g., beef versus pork). We assessed the effects of the warning labels and tax on selections from each food group. RESULTS: Compared to control, all three interventions led participants to select fewer items with processed meat (driven by reductions in processed pork) and (for the tax and warning labels + tax interventions only) fewer items with unprocessed meat (driven by reductions in unprocessed beef). All three interventions also led participants to select more items containing cheese, while only the combined warning labels + tax intervention led participants to select more items containing processed poultry. Except for an increase in selection of pulses in the tax arm, the interventions did not affect selections of fish or seafood (processed or unprocessed), eggs, or plant-based items (pulses, nuts & seeds, tofu, meat mimics, grains & potatoes, vegetables). CONCLUSIONS: Policies to reduce red meat consumption are also likely to affect consumption of other types of foods that are relevant to both health and environmental outcomes. TRIAL REGISTRATION: NCT04716010 on www. CLINICALTRIALS: gov .

A randomized controlled trial to test the effects of displaying the Nutri-Score in food advertising on consumer perceptions and intentions to purchase and consume.

BACKGROUND: Some research shows that advertising for high-fat, sugar, or salt (HFSS) products is contributing to a shift in consumer preferences toward products of poor nutritional quality, leading to unhealthy nutritional intakes that increase the risk of obesity and chronic diseases. A strategy of displaying simple and understandable nutritional information (like the front-of-pack nutrition label Nutri-Score) in food messages could be an aid to help guide consumers' choice towards healthier products. METHODS: A randomized controlled experiment was conducted on 27,085 participants randomly assigned to two experimental conditions or a control condition. In both experimental conditions (independent variable: advertising messages with vs. without the Nutri-Score), participants were exposed to advertisements for diversified food products with contrasting nutritional quality and belonging to nine different food categories. Participants were then asked questions about their perception, affective evaluation, and intentions to purchase and consume the products. In the control condition, they were not exposed to the advertisements. RESULTS: Overall, interaction effects between the two variables (1) the messages with vs. without the Nutri-Score and (2) the nutritional quality of products, were significant for all dependent variables, with effect sizes between large and medium. Overall, the better the products' nutritional quality, the more positive their perceptions, affective evaluations, and intentions to buy and consume them. When the Nutri-score was displayed in advertising messages (vs. when it was not), perceptions, affective evaluation, and behavioral intentions: (1) became more positive for products of good nutritional quality (Nutri-score A and B), (2) became more negative for products of poor nutritional quality (Nutri-score D and E), (3) changed little or not at all for products of intermediate nutritional quality (Nutri-Score C). CONCLUSIONS: This research is the first in the literature to demonstrate that displaying the Nutri-Score in advertising messages assists consumers in directing their choices towards healthier foods. Regulations mandating the display of the Nutri-Score in food advertising could be an effective public health measure.

A comprehensive study of food waste management and processing in the Czech Republic: Potential health risks and consumer behavior.

Food waste is currently a widely discussed phenomenon with significant economic and social consequences. One third of the food produced in the world is wasted at various points along the food supply chain. This article presents a comprehensive study that examines consumer behavior in dealing with food waste and activities in the composting process that enable waste sanitation. The survey conducted as part of this study showed that consumers want to eliminate odors, are concerned about potential infections, and generally sort less food waste. This study suggested that the addition of appropriate additives could be a solution. The results indicated that additives could eliminate negative side effects such as unpleasant odors, the presence of insects and rodents, and act as a prevention of the occurrence of pathogenic organisms. Tea tree oil showed the best positive physical and chemical properties among the additives tested (CaCO3 and citric acid) with a significant effect on inhibiting the growth of bacterial strains such as Salmonella strains and had the strongest antibacterial effect, neutralized unpleasant odors, and stabilized the waste. The use of additives could be a future solution to meet consumer demands, improve the quality of food waste and advance the circular economy to improve the sustainability of agricultural systems.

Substantial transmission of SARS-CoV-2 through casual contact in retail stores: Evidence from matched administrative microdata on card payments and testing.

This paper presents quasiexperimental evidence of Covid-19 transmission through casual contact between customers in retail stores. For a large sample of individuals in Denmark, we match card payment data, indicating exactly where and when each individual made purchases, with Covid-19 test data, indicating when each individual was tested and whether the test was positive. The resulting dataset identifies more than 100,000 instances where an infected individual made a purchase in a store and, in each instance, allows us to track the infection dynamics of other individuals who made purchases in the same store around the same time. We estimate transmissions by comparing the infection rate of exposed customers, who made a purchase within 5 min of an infected individual, and nonexposed customers, who made a purchase in the same store 16 to 30 min before. We find that exposure to an infected individual in a store increases the infection rate by around 0.12 percentage points (P < 0.001) between day 3 and day 7 after exposure. The estimates imply that transmissions in stores contributed around 0.04 to the reproduction number for the average infected individual and significantly more in the period where Omicron was the dominant variant.

Vietnamese consumer's perspective on green beauty care products: Exploring the impact of animal welfare concerns and skepticism toward green advertising.

Green consumers increasingly consider animal welfare (AW) in their decision-making, demonstrating a growing awareness of ethical considerations beyond conventional environmental concerns. However, with an increase in greenwashing, skepticism has grown among consumers. Regardless of manufacturers' efforts to enhance consumer awareness via green advertising, consumer skepticism toward these advertisements creates doubt and consequently reduces positive attitudes and intentions to buy green products. This study investigated the variables that impact Vietnamese consumers' decision-making processes toward green beauty care products. Specifically, we focused on the role of AW concerns and skepticism toward green advertising. For this study, we adopted the timulus-response organism (SOR) framework, which is known for its ability to analyze the impact of environmental stimuli (S) on personal perceptions (O), leading to specific responses (R). We elucidated the relationship between concern for AW and green advertising skepticism (GAS) as stimulus factors, green brand trust (GBT) and attitude toward green products (ATT) as organism factors, and three sub-dimensions of behavioral intentions (BI): green purchase intention (GPI), word-of-mouth (WOM), and willingness to pay (WPP) as response factors. We explored the mediating effect of ATT on the relationship between GAS-GPI and AW-GPI. This study involved 386 Vietnamese participants surveyed using convenience sampling. Smart PLS v3.2.9 software was used to analyze the data using structural equation modeling. The hypothesis test using PLS-SEM confirmed that (a) GBT had a positive effect on BI and ATT; (b) ATT had a positive effect on BI; (c) GAS had a negative effect on GBT and WPP, but not on GPI and WOM; and (d) AW had a positive effect on GPI and WOM, but not on ATT and WPP. Surprisingly, this study found insufficient statistical evidence to support the mediating role of ATT in the relationship between GAS-GPI and AW-GPI. This study highlights the importance of integrated advertising and education campaigns in increasing customer awareness toward green products and the significance of comprehending the cultural context when developing marketing strategies, especially in emerging markets such as Vietnam, where environmental concerns are skeptical and AW issues are relatively new. The study delved into the Vietnam market and specifically examined beauty care products labeled as "not tested on animals." Additionally, we addressed a gap in the existing research by investigating the combined influence of AW concerns and GAS on the formation of green behavioral intentions (GBI).

Predicting and improving complex beer flavor through machine learning.

The perception and appreciation of food flavor depends on many interacting chemical compounds and external factors, and therefore proves challenging to understand and predict. Here, we combine extensive chemical and sensory analyses of 250 different beers to train machine learning models that allow predicting flavor and consumer appreciation. For each beer, we measure over 200 chemical properties, perform quantitative descriptive sensory analysis with a trained tasting panel and map data from over 180,000 consumer reviews to train 10 different machine learning models. The best-performing algorithm, Gradient Boosting, yields models that significantly outperform predictions based on conventional statistics and accurately predict complex food features and consumer appreciation from chemical profiles. Model dissection allows identifying specific and unexpected compounds as drivers of beer flavor and appreciation. Adding these compounds results in variants of commercial alcoholic and non-alcoholic beers with improved consumer appreciation. Together, our study reveals how big data and machine learning uncover complex links between food chemistry, flavor and consumer perception, and lays the foundation to develop novel, tailored foods with superior flavors.

The Nutri-Score Scale-A Tool for Assessing the Nutritional Quality of Processed Meat Products Available on the Polish Market.

Although meat and meat products are important sources of protein in the human diet, consumption appears to be a predisposing factor in the onset of several civilisation diseases, particularly red meat and its products. One way to reduce diet-related diseases is to guide consumers towards consciously purchasing healthier foods by including a nutrition declaration on product labels, such as by using a "front-of-pack" (FOP) labelling system. This study aimed to determine the Nutri-Score classes for processed meat products, distinguish products that are potentially better for consumers, and determine whether the refined algorithm significantly contributed to a change in product classification. An analysis of the labels of 1700 products available on the Polish market indicated that most processed meat products qualified as class D and E. Comparing the refined Nutri-Score calculation algorithm with the original algorithm resulted in a slight change in product allocation. Poultry products were ranked more favourably than red meat products. The most significant change in product allocation (by 35.2%) was achieved by reducing salt content by 30% and fat content by 10%. Among the processed meat products, some are more highly ranked and are hence considered better from a nutritional perspective than others in that group.

Pricing decision and channel selection of fresh agricultural products dual-channel supply chain based on blockchain.

The application of blockchain can effectively improve the efficiency of fresh agricultural product circulation and consumer trust, but it can also increase investment costs. In this context, this paper introduces parameters such as blockchain unit variable cost, the level of blockchain technology investment, and consumer channel preference in two dual-channel supply chain systems dominated by fresh agricultural product manufacturers: online direct sales and distribution. It compares and analyzes pricing and channel selection strategies in both cases of not using and using blockchain. The research shows that when blockchain is used, manufacturer profits are higher in the direct sales model than in the distribution model. Traditional retailers' profits are lower in the direct sales model than in the distribution model. Total supply chain profits are higher in the direct sales model than in the distribution model, and they exhibit an inverted "U" shape as the level of blockchain investment increases. In the online direct sales model, if the blockchain technology unit variable cost is within a certain threshold range, manufacturer profits, traditional retailer profits, and total supply chain profits are all higher than when blockchain technology is not used. In the online distribution model, when the blockchain variable cost and blockchain usage level meet certain conditions, manufacturers, traditional retailers, and online distributors all have higher profits when using blockchain technology than when not using it. This study provides theoretical guidance for the practical application of blockchain technology in dual-channel fresh agricultural product supply chains.

Selection of presale models for innovative products considering channel preferences and valuation differences.

To reduce financial pressure and operational risk, and improve match between supply and demand, an increasing number of enterprises are adopting presales to launch new products. In this context, this paper investigates three presale models for innovative products, namely, the no-presale model, the manufacturer presale model and the retailer presale model. A Hotelling model is used to describe the impact of channel preferences and valuation differences on the two-stage competition between innovative products. Aiming at evaluating the purchase behavior of consumers under three presale modes, a game optimization model is established to analyze the presale decision problem for innovative products under different presale entities. The research shows that: (1) Compared with no-presale, presales can help enterprises obtain more profits. The overall profit of the supply chain is optimal under the retailer presale mode. (2) When the difference in channel preferences is small, the manufacturer obtains the greatest profit by choosing the direct presale model. In contrast, the selection of different presale entities has a significant impact on product sales and supply chain enterprise profits. At this point, the manufacturer should choose the retailer presale model. (3) When the product valuation discount is high, the manufacturer can increase the spot and wholesale prices to induce consumers to choose the presale method to purchase the product. In the opposite situation, the manufacturer should lower the presale price to improve the presale utility of consumers and encourage them to participate in the presale. These conclusions provide more targeted suggestions for enterprises to formulate presale strategies, which can help them grasp market demand and improve market competitiveness.

Attitudes and purchase intentions of polish university students towards food made from insects-A modelling approach.

The marketing of insect-derived protein has led to the development of respective legal regulations on such insects-based foods in the European Union. Despite the interest in the area of insect-based food, European researchers have paid relatively little attention to consumer attitudes and behaviors towards such products or the factors that may affect them. Attempts undertaken so far in this respect are insufficient; therefore, there is a need to continue and expand research in this field. The present study attempts to verify the following research hypotheses: H1. Attitudes towards food containing insects are related to the attributes/characteristics of these products, care for health and the natural environment, and attitudes towards novelty (neophilic/neophobic); H2. Intentions to purchase food containing insects can be predicted based on attitudes towards food from insects, product attributes, and attitudes towards environmental health and novelties. An empirical study was conducted among university students (N = 1063) by an indirect interview method using a specially designed questionnaire, via an online platform (Computer-Assisted Web Interview, CAWI) in November 2023. The questionnaire was validated by assessing the construction validity and estimating the reliability of the scales used. The study results demonstrated that the attributes of insect-based food products can influence the positive attitudes towards them and behavioral intentions to consume them, and that the strength of the impact of health quality traits is far greater than that of the organoleptic or functional traits. A negative, statistically significant value of the correlation coefficient between neophobic attitude and intention to purchase this type of food was observed. Thus, respondents without food neophobia were characterized by a positive attitude towards the purchase of foods containing edible insects in their composition.

Recent trends in design of healthier fat replacers: Type, replacement mechanism, sensory evaluation method and consumer acceptance.

In recent years, with the increasing awareness of consumers about the relationship between excessive fat intake and chronic diseases, such as obesity, heart disease, diabetes, etc., the demand for low-fat foods has increased year by year. However, a simple reduction of fat content in food will cause changes in physical and chemical properties, physiological properties, and sensory properties of food. Therefore, developing high-quality fat replacers to replace natural fats has become an emerging trend, and it is still a technical challenge to completely simulate the special function of natural fat in low-fat foods. This review aims to provide an overview of development trends of fat replacers, and the different types of fat replacers, the potential fat replacement mechanisms, sensory evaluation methods, and their consumer acceptance are discussed and compared, which may provide a theoretical guidance to produce fat replacers and develop more healthy low-fat products favored by consumers.

Determinants of consumer adoption of multilingual self-service ordering systems in fast food restaurants.

Due to the increasing number of international exchanges, foreign users have gradually become a significant consumer segment. Many of them are not proficient in the local language. Providing them with native language services will be an important trend, both from a business and a humanistic perspective. The purpose of this study is to investigate the fast-food restaurant ordering system that can provide multilingual services for foreigners, and to investigate factors that influence fast food restaurant consumers to adopt multilingual self-service ordering systems. Based on the characteristics of foreign users, we have proposed experience factors such as convenience, translation quality, social anxiety, and the Flow. According to research, the convenience of the service has a strong direct impact on consumers' intention to use, social anxiety has a weak direct impact on consumers' intention to use, and translation quality has a weak direct impact on consumers' intention to use through the intermediate variable of social anxiety. Particularly, Flow experience is not associated with intention to use. The Flow state is one in which users are completely immersed and do not notice time or the surroundings when the perceived difficulty of a task matches their abilities. The purpose of this study is to improve our understanding of the customer evaluation criteria for multilingual self-service systems, as well as to establish the MSSS model for future research on multilingual self-service systems.

Sipping a sustainable life: Exploring drivers and barriers in consumer attitudes toward non or low alcoholic spirits.

Alcohol consumption continues to be prevalent and is on the rise in many countries, posing a grave risk for the health and wellbeing of millions and creating a strain on health services worldwide. A hopeful trend has emerged, however, as consumers' growing preference for healthier, sustainable lifestyles has led traditional alcoholic brands to innovate, launching reduced or non-alcoholic (NoLo) options. This aligns with the SDGs and is reflected in NoLo spirits representing four of Spain's top ten disruptive innovations of 2022. This paper uses a mixed methodology in a qualitative-quantitative sequential approach to gain insight into this phenomenon. The study involved 13 in-depth interviews with HoReCa (an acronym for Hotels, Restaurants, and Caterings) professionals and four focus groups among consumers. Second, behavioral reasoning theory (BRT) was used in a quantitative study aiming to explore motivations for and against consuming NoLo spirits. Data from a survey of 620 participants was conducted and analyzed using SEM-PLS to measure the antecedents of consumer's behavioral intention towards NoLo spirits and to gauge the potential for marketing opportunities. The research reveals that the purchase intention of NoLo spirits is strongly related to health consciousness, while enjoying the effects of alcohol for fun and entertainment, and the social pressure to drink hinders its consumption. In addition, it was found that "reasons for" are more substantial than "reasons against" the consumption of those beverages, differing significantly by age group. Results offer implications for theory and practice, including recommendations for practitioners and regulators willing to improve sustainability in the industry. Further, this paper helps augment the innovation adoption literature by using BRT in the paradoxical context of consumers' increasing alcohol abuse despite their professed attempts to adopt healthier lifestyles.

Clean-label products: Factors affecting liking and acceptability by Portuguese older adults.

Consumers are preferring more "natural" foods, made of "healthier" and "familiar" components - the "clean-label" trend. As the population ages, understanding the older adult consumer segment becomes increasingly important. This study aims to identify the factors influencing the acceptability and liking of clean-label products in older adults living in the community. A convenience sample of 100 older adults was used for this cross-sectional study. Socio-demographic data, health status, independence level, lifestyle characteristics, nutritional status, and food and nutrient intake data were collected. The acceptability and liking for clean-label products comprised two parts: Sensory analysis with overall liking evaluation of three pairs of products, using a 9-point hedonic scale and free comments; Willingness to eat and preference assessment of nine pairs of products using the Food Action scale and a simple preference test. The participants were 80% female with a mean age of 75 years old. The overall liking for clean-label versions of cookies and mayonnaise was lower than for traditional versions. However, participants were more willing to eat the clean-label versions of products, particularly ham and yogurt. Most of the participants would prefer buying the clean-label version of all nine pairs of products, especially for ham, loaf bread, sausages, and yogurt. In sum, older adults living in the community exhibit a lower liking but, a greater willingness to eat and a higher preference for buying clean-label products. Older adults who favor clean-label products have higher levels of education and are reported to have a more adequate diet.

Please don't throw me in the briar patch! Empirical evidence on the role of instructional cues on eco-label usage in fish consumption decisions.

While contributing to the conservation of natural fish stocks, the aquaculture sector imposes environmental repercussions. The growing popularity of colour-graded eco-labels in promoting pro-environmental practices in food production underscores the need for scientific insights into consumer responses to such labels, particularly with the imminent prospect of a harmonized European labelling framework. The existing literature, although limited and divergent, advocates for real-life testing with fresh, perishable food products, emphasizing the inadequacy of standalone labels and the necessity for complementary measures. Furthermore, the mechanisms underlying how consumers process multi-coloured Front-of-Pack (FOP) labels remain ambiguous, with uncertainties regarding induced consumption shifts stemming from both deliberate information processing and less deliberate associations. This article presents findings from a randomized control trial conducted in a simulated fishmonger store in Derio, Bizkaia, Spain, involving 200 consumers. Participants selected various sea bass products out of multiple options. This task was subject to a 2 (Enviroscore: with vs without) x 2 (Supporting info on Enviroscore: with vs without) between-subject design, resulting in four treatment groups. A 16% increase in the likelihood of selecting lower-impact products was observed. Notably, this effect was evident only in the absence of supporting information on Enviroscore, and the observed impact could not be attributed to any indirect attention effect. In conclusion, Enviroscore exhibits potential in steering consumer choices toward more environmentally friendly aquaculture fish options, even in physical retail settings. However, these effects may be rooted in unconscious responses rather than deliberate environmental considerations, raising questions about the suitability of envisaged policy orientations encompassing disaggregated environmental, nutritional, animal welfare, and social welfare scores. Generalization of these findings warrants validation through further research encompassing a more comprehensive range of products.

Vegetarian, vegan, or plant-based? Comparing how different labels influence consumer evaluations of plant-based foods.

Market actors have a role to play in enabling sustainable food transitions. One challenge for these actors is how to promote plant-based foods in ways that appeal to a growing number of consumers. Here we test how different plant-based related labels affect consumer appraisals of a range of foods (cookies, sausages, cheese, chocolate, pasta). In two studies (pre-registered; NUSA = 1148, NGermany = 491), we examined the effects of a 'vegetarian', 'vegan', or 'plant-based' label (compared to no label) on five attributes (healthy, tasty, ethical, pure, environmentally friendly) related to the products. We also measured self-reported likelihood to purchase the products. Overall, the results indicated that the 'plant-based' label was slightly more appealing to participants than the 'vegetarian' and 'vegan' labels. However, contrary to our expectations, neither consumers' information-seeking tendencies nor their pre-existing attitudes toward plant-based foods influenced (i.e., moderated) the effects of the labels. Anticipated taste was a strong and consistent predictor of purchase likelihood for all labeled products, but the ethical and pure attributes also accounted for unique variance in this outcome variable. Taken together, our findings and discussion provide insights into the role of labels and label terminology on consumer appraisals of plant-based foods.

Shades and shifts in flexitarian and meat-oriented consumer profiles in a German panel study.

Consumers' growing awareness of the adverse effects of high meat consumption has led to increased attention to flexitarian or meat-reduced diets. However, most flexitarians do not significantly reduce their meat consumption and still eat many meat-based meals. This study aims to classify the large and heterogeneous consumer group of flexitarians into different profiles based on attitudinal, normative, and control beliefs about meat reduction. Being aware that consumer profiles can change over time, this study explores the dynamics of the identified profiles using a two-wave panel survey of 430 German consumers. Latent profile analysis revealed distinct flexitarian and meat-oriented consumer profiles, including three stable profiles and one non-stable profile across both waves. The findings indicate that flexitarian and meat-oriented consumer profiles differ significantly in their belief structure about meat reduction and that consumers can switch back and forth to other profiles over time. Practitioners should be aware of changes in the belief structure of flexitarian and meat-oriented consumer profiles when developing meat reduction interventions. Further research is needed to understand the reasons behind these profile shifts.