The Impact of the COVID-19 Pandemic on Consumer Behavior-Evidence From China's Stock Market

The COVID-19 pandemic has dramatically reshaped consumers' grocery shopping behavior. Meanwhile, change in consumer shopping behavior might further exert a considerable and far-reaching impact on the food retail industry. Although the existing literature provides investigation on the impact of the pandemic on the retail industry, very few studies discuss the impact of changes in consumer shopping behavior on the stock market performance of the retail industry. This paper investigates selected food retailers listed in China's stock market. To overcome the problems of the Chow test, the Quandt-Andrews test was used to identify the dates of breakpoints of structural change in the stock price performance of those selected companies. The results suggest that there has indeed been an industry-wide structural change in the stock market performance during the pandemic. The study found that the dates of breakpoints for the selected companies were concentrated in the first half of 2020, when China was hit by the Covid-19 pandemic the most. Our survey shows that under strict epidemic prevention and control measures, consumers have gradually adapted to the new normal of epidemic prevention to a certain extent, established safety awareness, and changed their consumption behavior. Our study on stock price data implies that Chinese consumers experienced a shift from physical store offline purchases to online purchasing model.

Preference-Based Determinants of Consumer Choice on the Polish Organic Food Market

Background: The development of the organic food market in Poland is currently at a fairly high level. There is a growing demand for organic food, but the share of total sales remains low. There are still many barriers related to the availability of organic food and information about it. In addition, consumers are skeptical of the inspection system in organic farming and admit that these foods do not meet their expectations regarding sensory qualities. Methods: The article conducted its own research, using an author's survey questionnaire, which was distributed in Lublin Province. The research sample consisted of 342 respondents and was diverse in terms of gender, age and place of residence. The purpose of the analysis was to ascertain the determinants affecting the choice of organic food. For the study, the method of correspondence analysis was used, the purpose of which was to isolate characteristic groups of consumers who exhibit certain behaviors towards organic products. Results: Respondents admitted that they buy organic food several times a month, most often spending an amount of EUR 10-20 (per month). They also paid attention to product labeling, with labels read mostly by residents of small towns (up to 30,000 residents). Respondents were also asked about the reasons why they do not buy organic food. The results of the analysis show that respondents believe it is too expensive, but they also cannot point out differences with other products. Conclusions: The main purpose of this article was to study the preferences of organic food buyers and to identify factors that determine their choice but that may also be barriers to purchasing this category of food. These issues need to be further explored so as to create recommendations in this regard for various participants in the organic food market.

How did COVID-19 change what people buy: Evidence from a supermarket chain

This research takes a retrospective view of the COVID-19 pandemic and attempts to accurately measure its impact on sales of different product categories in grocery retail. In total 150 product categories were analyzed using the data of a major supermarket chain in the Netherlands. We propose to measure the pandemic impact by excess sales – the difference of actual and expected sales. We show that the pandemic impact is twofold: (1) There was a large but brief growth at 30.6% in excess sales associated with panic buying across most product categories within a two-week period; and (2) People spending most of their time at home due to imposed restrictions resulted in an estimated 5.4% increase in total sales lasting as long as the restrictions were active. The pandemic impact on different product categories varies in magnitudes and timing. Using time series clustering, we identified eight clusters of categories with similar pandemic impacts. Using clustering results, we project that product categories used for cooking, baking or meal preparation in general will have elevated sales even after the pandemic.

Analysis of Strategies to Increase User Retention of Fitness Mobile Apps during and after the COVID-19 Pandemic

The COVID-19 pandemic has changed the fitness-related field. More people started working out at home, and the use of fitness mobile apps that can measure the amount of exercise through a scientific method has increased compared to before the COVID-19 pandemic. This phenomenon is likely to continue even after the COVID-19 pandemic, and therefore this study aimed to investigate the importance of and satisfaction with a fitness app's functions according to consumers while using the fitness mobile app. Through this study, we intended to provide data for creating an environment where users can use fitness mobile apps consistently. A total of 420 questionnaires were distributed through Google Survey for about 3 months, from 13 September to 20 November 2020, and a total of 399 complete questionnaires were analyzed in this study. Regarding the data processing methods, frequency analysis, exploratory factor analysis, reliability analysis, descriptive statistical analysis, and IPA were used. The results are as follows. First, the first quadrant of the IPA matrix indicated the high importance of and satisfaction with the fitness mobile app, and included five attributes: cost-effectiveness, easy-to-understand information, ease of use and application, privacy protection, and compatibility with other devices. Second, the second quadrant of the matrix indicated relatively low satisfaction in association to high importance and included five attributes: accurate exercise information provision, design efficiency, daily exercise amount setting, convenient icons and interface, and provision of images and videos in appropriate proportions. Third, the third quadrant of the matrix, indicating low importance and low satisfaction, included five attributes: not sharing personal information, overall design composition and color, customer service, reliable security level, and providing information on goal achievement after exercising. Fourth, in the quadrant of the matrix, indicating low importance and high satisfaction, five attributes were included: exercise notification function, continuous service provision, step count and heart rate information, individual exercise recommendation, and individual body type analysis information.

The Prediction of Consumer Behavior from Social Media Activities

Consumer behavior variants are evolving by utilizing advanced packing models. These models can make consumer behavior detection considerably problematic. New techniques that are superior to customary models to be utilized to efficiently observe consumer behaviors. Machine learning models are no longer efficient in identifying complex consumer behavior variants. Deep learning models can be a capable solution for detecting all consumer behavior variants. In this paper, we are proposing a new deep learning model to classify consumer behavior variants using an ensemble architecture. The new model incorporates two pretrained learning algorithms in an optimized fashion. This model has four main phases, namely, data gathering, deep neural modeling, model training, and deep learning model evaluation. The ensemble model is tested on Facemg BIG-D15 and TwitD databases. The experiment results depict that the ensemble model can efficiently classify consumer behavior with high precision that outperforms recent models in the literature. The ensemble model achieved 98.78% accuracy on the Facemg database, which is higher than most machine learning consumer behavior detection models by more than 8%.

Designing and Implementing the MySusCof App-A Mobile App to Support Food Waste Reduction

Consumers are responsible for almost 50 percent of food waste. Consumer-focused interventions are crucial to achieve many Sustainable Development Goals (SDGs), especially SDG 12.3. There are many factors that cause food waste, and these can be prevented by changing the consumption behavior of adults. Mobile apps are seen as promising tools to change consumer behavior for ensuring more sustainable food consumption. This study describes the development process and examines the perceived quality of MySusCof, an app intended to reduce the food waste of consumers. The uMARS scale was used for collecting data from consumers. Within the scope of the study, two studies were conducted to examine the development process of the application and to determine the user reactions to the mobile application. Results show that gamification elements with hedonic and social components, as well as functional aspects, are important features for user engagement and perceived impact. The qualitative results also supported the user experience in both hedonic and functional value and role of mobile apps to lead behavior change. This study serves as a guideline for future developers of mobile apps intended to lead consumers to a more sustainable food consumption.

Restaurant hygiene attributes and consumers’ fear of COVID-19: Does psychological distress matter?

Restaurant unhygienic affairs have concerned consumers and policy makers alike since the onset of COVID-19 pandemic. The current study incorporates restaurant hygiene attributes—consumers-use spaces, personal hygiene of staff, workplace hygiene— and their association with consumers’ fear of COVID-19 (CFC). Moreover, how CFC educes consumers’ psychological distress (CSD) and the consequent behavioral reactions—preventive behavior (PB) and revisit intention (RI)— has been examined. Furthermore, perceived vulnerability (PV) employed as a moderator between hygiene attributes and CFC. Data collected from 407 respondents via Chinese online platform was analyzed in SPSS 25.0 and AMOS 24.0. Results showed significant association between hygiene attributes and CFC. Similarly, CFC significantly engenders CSD, which consequently effects PB. Contrarily to our hypothesis, CSD positively developed RI. Lastly, PV moderated the relationships between antecedents and CFC. Findings add to the literature of health management, consumer psychology, and service management with practical relevance, followed by limitations and potential future avenues.

BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework

Neuromarketing relies on Brain Computer Interface (BCI) technology to gain insight into how customers react to marketing stimuli. Marketers spend about $750 billion annually on traditional marketing camping. They use traditional marketing research procedures such as Personal Depth Interviews, Surveys, Focused Group Discussions, and so on, which are frequently criticized for failing to extract true consumer preferences. On the other hand, Neuromarketing promises to overcome such constraints. This work proposes a machine learning framework for predicting consumers' purchase intention (PI) and affective attitude (AA) from analyzing EEG signals. In this work, EEG signals are collected from 20 healthy participants while administering three advertising stimuli settings: product, endorsement, and promotion. After preprocessing, features are extracted in three domains (time, frequency, and time-frequency). Then, after selecting features using wrapper-based methods Recursive Feature Elimination, Support Vector Machine is used for categorizing positive and negative (AA and PI). The experimental results show that proposed framework achieves an accuracy of 84 and 87.00% for PI and AA ensuring the simulation of real-life results. In addition, AA and PI signals show N200 and N400 components when people tend to take decision after visualizing static advertisement. Moreover, negative AA signals shows more dispersion than positive AA signals. Furthermore, this work paves the way for implementing such a neuromarketing framework using consumer-grade EEG devices in a real-life setting. Therefore, it is evident that BCI-based neuromarketing technology can help brands and businesses effectively predict future consumer preferences. Hence, EEG-based neuromarketing technologies can assist brands and enterprizes in accurately forecasting future consumer preferences.

The Impact of Different Factors on Repeat Visits to Selected International Tourism Enterprises: Case Study From Czechia

The aim of this article is to identify the influence of the different factors on the repeat visits to selected international tourism enterprises based on the responses of customers in Czechia. The selected factors were divided into three main groups: service, environment, and offer, and each of these groups consists of other different factors. Primary data were analyzed using SPSS software. Statistical hypotheses were formed, reflecting the relationship between the difference in customer responses and selected quality factors, which can affect repeated visits to selected tourism enterprises. Most customers of repeat visits to selected tourism enterprises are affected by professional behavior, staff empathetic approach, offer knowledge and ability to provide as much information as possible, cleanliness and tidiness, overall atmosphere of the establishment, lighting and thermal comfort, air cleanliness, and plenty of space, taste and quality of food and ingredients, and last but not least also corresponding ratio of price/quality, good experience and attractive price level. Studying consumer behavior is important because it helps marketers understand what influences consumers' buying decisions not only in the tourism area in the Czechia but can fill in the market gap and identify the new products and services that are needed.

The impact of anthropomorphism on customer satisfaction in chatbot commerce: an experimental study in the food sector

Food retailers are lagging behind other industries in implementing innovative mobile solutions offering their services and purchasing processes on their online platforms. Chatbots can be leveraged as an application to provide customer-centric services while retailers benefit from collecting consumer data. Previous literature on chatbot technology provides evidence that human characteristics enhance the customer experience. This is the first experimental study to investigate consumer attitudes and satisfaction with anthropomorphic chatbots in food e-commerce. A sample of 401 participants was tested to verify the proposed hypotheses. The test group interacted with a standard chatbot without human-like characteristics, while the control group communicated with the anthropomorphically designed agent. The results confirm the vast potential of anthropomorphic cues in chatbot applications and show that they are positively associated with customer satisfaction and mediated by the variables enjoyment, attitude, and trust. The findings suggest that to remain competitive, food retailers should immediately adopt innovative technologies for their omnichannel strategy and incorporate anthropomorphic design cues.

The Presence of a Visual Dividing Line Increases Consumer Memory Through Attention Grabbing

Marketers often use a visual line to divide the product information on an advertisement into left-right (or top-bottom) segments for aesthetic or categorization purposes. The present research examined the effect of the dividing line on the consumer memory. Across three studies (including an eye-tracking study and a field one), we showed that the presence of a dividing line enhances consumers’ memory about the products displayed on the left/top of an advertisement. This effect occurs because the dividing line orients participants’ first eye fixation to the left/top area of the advertisement, such that their visual attention is largely restricted to that area and they could better remember the contents displayed on that area. The theoretical contributions and implications for marketers and consumers are discussed.

Hormonal Male Contraception: Formative Research to Develop and Test Communication Messaging

Male-controlled contraception is limited, yet a promising hormonal male contraceptive (HMC) development in may increase options for men to share in the work of pregnancy prevention. This study examined college-aged (18–26 years) men’s and women’s perceptions of influential marketing strategy for an experimental novel HMC method, a transdermal gel. Six focus groups (n = 29) were conducted to glean insights for ad prototype creation. Ad prototypes were designed and then tested in semi-structured interviews (n = 20) to understand whether the messages were adequately representing the attributes intended while also allowing participants to contribute insights on improving appeal. A constant comparative approach was used for data contextualization and theme identification. Results provided a foundation for the creation of HMC message prototypes, aimed at increasing knowledge and uptake of a novel family planning method for men. Representation of a relatable character, or drawing on authentic experiences, aligned best with participant values. Focus groups illuminated salient concepts for HMC marketing, including humor, destigmatization, information, and credibility. Interview message testing yielded an understanding of elements participants responded most strongly to, including (1) ad sentiment and (2) trustworthiness. Findings provide a basis for understanding the placement of a potential marketing campaign to effectively frame HMC uptake as easy to use, safe, and popular while building on peer norms and group acceptability among a college-aged demographic. Healthcare providers and other practitioners can utilize these findings while engaging in family planning conversations, interventions, and message development.

Mobile Shopping during COVID-19: The Effect of Hedonic Experience on Brand Conspicuousness, Brand Identity and Associated Behavior

COVID-19 has impacted economic and social conditions around the globe. In a post-pandemic world, the labor models have been shifting in favor of working from home and shopping toward online purchasing through mobile devices. The pandemic has, in addition to disrupting the world economy, triggered changes in consumer behavior that require a rethinking of marketing efforts from the consumer's perspective and a fundamental shift in branding strategies and managerial thinking. This paper expanded the understanding of the mobile consumer behavior of Generation Z consumers in China by examining the changes in their behavior in response to the pandemic. We used a structural equation model (SEM) to show that, in mobile shopping, the hedonic experience has played an essential role in signaling brand conspicuousness and product aesthetics, in turn promoting brand identity and associated behavioral reactions. The paper concludes with a discussion of the implications of these changes for branding identity and brand management.

The 2018 Revision of Italian Dietary Guidelines: Development Process, Novelties, Main Recommendations, and Policy Implications

The fourth edition of the Italian Dietary Guidelines (IDGs) for Healthy Eating was published in 2019. The objective of this paper is to describe the developmental process of IDGs, the main recommendations, the differences with previous revisions, and the concordance and differences with international guidance on a healthy diet. A National Commission oversaw IDG development. A Scientific Dossier (SD), including analysis on nutrition, health, and risk factors status in Italy, was the reference for IDGs preparation. The IDGs are based on the principles of the Mediterranean Diet and are mainly aimed to prevent obesity and nutrition-related non-communicable diseases. The IDGs included 13 directives that were divided into four conceptual blocks: i) how to balance weight; ii) foods to be promoted; iii) foods to be limited; and iv) how to ensure a varied and sustainable diet. Each directive has a box summarizing the key recommendation, myths lists, and false beliefs to be dispelled. The topics of sustainability and the correct approach to food supplementation and weight-loss diet were introduced in the present edition of IDGs. This paper contributes to the debate on the complexity of derivation of Dietary Guidelines and their adaptation to the national context.

Tourists' Health Risk Threats Amid COVID-19 Era: Role of Technology Innovation, Transformation, and Recovery Implications for Sustainable Tourism

Technology innovation has changed the patterns with its advanced features for travel and tourism industry during the outbreak of COVID-19 pandemic, which massively hit tourism and travel worldwide. The profound adverse effects of the coronavirus disease resulted in a steep decline in the demand for travel and tourism activities worldwide. This study focused on the literature based on travel and tourism in the wake global crisis due to infectious virus. The study aims to review the emerging literature critically to help researchers better understand the situation. It valorizes transformational affordance, tourism, and travel industries impacts posed by the virus COVID-19. The study proposed a research model on reviving the international tourism activities post COVID-19 pandemic to gain sustainable development and recovery. The scholars have debated seeking the best possible ways to predict a sustainable recovery of travel, tourism, and leisure sectors from the devastating consequences of coronavirus COVID-19. In the first phase, the study describes how the current pandemic can become transformational opportunities. It debates the situation and questions related to the emergence of the COVID-19 outbreak. The present research focuses on identifying fundamental values, organizations, and pre-assumptions related to travel and tourism revival and help academia and researchers to a breakthrough in initiating the frontiers based on research and practice. This study aims at exploring the role of technological innovation in the crisis management of COVID-19 tourism impacts, tourists' behavior, and experiences. The travel and tourism industry's main stakeholders include tourism demand and organizations that manage tourists' destinations and policymakers. They have already experienced the stages of responses, recovery, and resetting tourism recovery strategies. The study provides valuable insight into the coronavirus consequences on travel and tourism and practical implications for global tourism and academic research revitalization.

Innovation as a Factor Increasing Fruit Consumption: The Case of Poland

Due to the low level of fruit consumption in relation to dietary recommendations in many European countries, including Poland, multidirectional actions should be taken to increase the consumption of these products. One of the ideas could be the introduction of innovative products. The main goal of the study is to determine the relationship between consumer propensity to purchase innovative products and the frequency of consumption of fruits and their preserves of consumers. The research sample consisted of 600 respondents who declared to consume fruit and were responsible for food shopping in their households. The results obtained indicate that consumers with a higher propensity to purchase innovative products consumed fruit and fruit preserves more. In addition, statistically significant differences were found between innovators and non-innovators in terms of income, expenditures on fruit purchases, places where fruit and fruit preserves were purchased and product characteristics that determined the purchase decision. The logistic regression results indicate that a higher frequency of supermarket/hypermarket and online shopping, a higher weekly spending on fruit and a greater importance attributed to the biodegradability of the packaging increased the favorability of innovation relatively to fruit products (by 23.8%, 31.4%, 32.7% and 21.6%, respectively). The relationships found may have important implications for both private and public stakeholders in the fruit and vegetable sector.

Recognizing Personality Traits Using Consumer Behavior Patterns in a Virtual Retail Store

Virtual reality (VR) is a useful tool to study consumer behavior while they are immersed in a realistic scenario. Among several other factors, personality traits have been shown to have a substantial influence on purchasing behavior. The primary objective of this study was to classify consumers based on the Big Five personality domains using their behavior while performing different tasks in a virtual shop. The personality recognition was ascertained using behavioral measures received from VR hardware, including eye-tracking, navigation, posture and interaction. Responses from 60 participants were collected while performing free and directed search tasks in a virtual hypermarket. A set of behavioral features was processed, and the personality domains were recognized using a statistical supervised machine learning classifier algorithm via a support vector machine. The results suggest that the open-mindedness personality type can be classified using eye gaze patterns, while extraversion is related to posture and interactions. However, a combination of signals must be exhibited to detect conscientiousness and negative emotionality. The combination of all measures and tasks provides better classification accuracy for all personality domains. The study indicates that a consumer's personality can be recognized using the behavioral sensors included in commercial VR devices during a purchase in a virtual retail store.

Political Populism, Institutional Distrust and Vaccination Uptake: A Mediation Analysis

Politics is ubiquitous in public health, but vaccines had never been weaponized to instill distrust to gain political advantage. In pandemic and post-pandemic scenarios, populist political parties could use vaccine-related issues to generate distrust in evidence-based knowledge. Therefore, some questions arise. What impact could populist political parties impinge on vaccination uptake rates through sowing political discontent? What could the medical institutions do to avoid the adverse effects that these political strategies could infringe? For answering these research questions, we first hypothesized that vaccine uptake was negatively associated with distrust in the institutions. Furthermore, we analyzed whether populism mediates this relationship. In doing so, we hypothesized a positive association between distrust and populism, because populists, mainly fueled by politically discontent citizens, offer hope of a better future, blaming their misfortune on the actions of the elite. Additionally, we hypothesized that those citizens with a higher level of political dissatisfaction, following the claims of the populist political parties, will have lower vaccine uptake results, because they will be discouraged from making the efforts to counter the pandemic. Based on a survey carried out by the European Commission that covered 27 E.U. + U.K. countries (totaling 27,524 respondents), this paper proves that an individual’s political discontent fully mediates the relationship between distrust in institutions and vaccine uptake. Targeting the vaccine-hesitant population is quite convenient for populists because they only need to convince a minority of citizens not to be vaccinated to achieve their destabilizing goals. New outbreaks will appear if the minimum herd immunity coverage is not reached, reinforcing a vicious circle of distrust in elites, in consequence. For tackling this matter, recommendations are given to institutional managers from a social marketing standpoint.

Impacts of Supply Chain Competition on Firms' Carbon Emission Reduction and Social Welfare under Cap-and-Trade Regulation

In the carbon neutrality era, firms are facing increasingly intense environmental pressure and market competition. This paper considers two competitive supply chains with consumers' low-carbon preference under the cap-and-trade regulation, each of which consists of one manufacturer and one retailer. Considering competition or integration in vertical and horizontal directions, four different supply chain structures are modeled. By applying a game-theoretical approach, the equilibrium pricing, carbon emission reduction (CER) level, profit, and social welfare are obtained. Through comparison and analysis, the economic and environmental impacts of supply chain competition are explored. The results show that (1) the carbon quota acts as a kind of financial subsidy and brings direct economic profit to the supply chain, which cannot be used to incentivize the firm to invest in CER technology; (2) the HCVI strategy can bring the highest CER level, the most market demand, and social welfare among the four strategies; (3) for the enterprise and the government, it is recommended to take measures and enact policies to strengthen the vertical integration and horizontal competition between supply chains. Our study can guide firms on how to cope with increasingly fierce industry competition and environmental pressure by adjusting their operational decisions and supply chain structure.

Pandemics and consumer well-being: Provenance and research priorities

This article advances the riveting discussion on how this special issue contributes to the consumer well-being literature. Specifically, this article endeavors to present an eclectic account of how the pandemics has had a lasting impact on the consumer well-being, its provenance and future research priorities for academics and practice. First, it briefly discusses the origin and relevance of the evolving issue of consumer well-being during pandemics. Second, it presents several directions for future research and third, it offers key insights for policymakers. It includes multiple research priorities that present vastly contrasting manifestations of consumer well-being. This article argues that future research will need to examine the drivers of consumer well-being during pandemics, the mechanisms that underlie the influence of pandemics on consumer well-being and the boundary conditions that accentuate/mitigate the influence of pandemic-induced factors.

Social distancing and store choice in times of a pandemic

Public health officials enforced several measures to contain the COVID-19 pandemic that affected grocery stores, such as limits on store capacities and enforcement of masks and physical distancing among customers. Nevertheless, these measures can provoke queues, which could drive customers away from stores. In this study, we investigate how customers trade off between social distancing measures and increased waiting times during the peak of the COVID-19 pandemic. Our data comes from an online survey applied in New York City in May 2020. This survey included a set of discrete choice experiments framed in virtual stores, as well as a set of psychometric indicators regarding the pandemic. With this data, we estimated a latent class conditional logit model where assignment to classes is correlated with COVID-19 latent variables. We identified three latent classes with preference structures that valued social distancing to varying degrees. In spite of this heterogeneity in preferences, we found that customers were willing to wait longer to access stores with better social distancing measures. This result suggests that stores could increase, rather than decrease, their sales if they enforce public health measures at the expense of longer waiting times.

Shiftwork Is Associated with Higher Food Insecurity in U.S. Workers: Findings from a Cross-Sectional Study (NHANES)

The number of shift workers has increased substantially within the last decades to keep pace with the increasingly complex societal need for 24 h services. Shift work has been associated with unhealthy lifestyles and a lower overall diet quality. Little is known, however, with regard to food security and consumer behavior in shift workers. The present study sought to address this gap in the literature, exploring a sample of n = 4418 day workers and n = 1065 shift workers in the United States. Using cross-sectional data from the National Health and Nutrition Examination Surveys (NHANES, 2007−2010), we found that shiftwork was associated with a lower amount of money spent on eating out and higher food insecurity issues. Compared to day workers, a higher proportion of shift workers reported receipt of food stamps (12.5% vs. 23.4%, p < 0.001) and worried about running out of food (3.95% vs. 8.05%, p < 0.001). These associations remained significant after adjustment for confounders when using multivariate logistic regression. The number of not-home-prepared meals did not differ between both groups. In light of the population health disparities and adverse health outcomes associated with food insecurity, novel strategies are urgently warranted to improve the situation of shift workers.

Relative safety and quality of various dietary supplement products U.S. Service Members ask about

CONTEXT

The purpose of this project was to determine types of dietary supplement products U.S. Service Members frequently ask about and identify risks associated with select products that consumers should be aware of when considering their use.

METHODS

Forty-one dietary supplement products frequently asked about through the Operation Supplement Safety's (OPSS.org) Ask-the-Expert portal were selected. Product analysis was performed to verify whether select products were accurately labeled and to identify any risky ingredients contained in these products. Operation Supplement Safety Risk Assessment Scorecard criteria were additionally used as a screening tool to assess a product's relative safety potential.

RESULTS

Among the select dietary supplements, 12 (29.3%) were marketed as pre-workout products; 14 (34.1%) for weight loss; four (9.8%) for male enhancement/testosterone boosters; and 11 (26.8%) as body building supplements. Eleven (26.8%) products had accurate labels; only eight of these had accurate labels plus no risky ingredients listed on the labels. Twenty-six (63.4%) products were misbranded; 10 (24.4%) were adulterated, and six (14.6%) were both misbranded and adulterated. Risky ingredients appeared on 23 (56%) of all product labels. Eight of these 23 products also had additional risky ingredients not listed on the labels but detected through analysis. According to the Scorecard based on label claims, 35 (85.4%) received a rating of "no-go/risky".

CONCLUSIONS

U.S. Service Members and the public at large should be aware that dietary supplements may contain risky ingredients and know how to identify ingredients on the label to evaluate potential risk.

Usage, Pleasure, Price, and Feeling: A Study on Shopping Orientation and Consumer Outcome

Understanding the behavior of consumers and especially the purchase-related behavior has been a focus of research for the past decades. Thus, researchers and practitioners are curious to know how purchase patterns are different under different conditions such as product category, price, feeling, and so on. The primary focus of this study was to examine how the price of the products influences the purchase behavior of consumers across hedonic and utilitarian categories under regulatory focus theory (RFT). The secondary insight was to examine how mood can moderate this impact. We conducted three experimental studies to examine these research questions regarding the preference of consumers of hedonic (utilitarian) products when the price is low (high) and at different mood conditions in this purchase process. The results confirmed our hypothesis that product category has a significant impact on purchase choice of products and mood can mediate this impact. In the last section, we discussed the theoretical contribution, strategic insights for product designers and marketers, and possible future research directions.

Health and Non-Health Determinants of Consumer Behavior toward Private Label Products-A Systematic Literature Review

This study aimed to analyze the international literature on consumer behavior toward private label (PL) products, guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) method. We searched for peer-reviewed studies published until January 2021 in the Scopus and Web of Science databases using two main search terms, namely, “consumer behavior” and “private label,” which have several synonymous terms, such as “store brand,” “private brand,” and “own label.” A total of 44 eligible studies were selected for the analysis. We formulated research questions regarding the most studied categories of PL products, the non-health factors determining consumer behavior toward PL products, and the frequency of including health aspects in the choice of PL products. The following were analyzed in the studies included in the systematic literature review (SLR): general data and study design (authorship, year of publication, location, characteristics of the sample, and research category), research specifications (factors/variables, hypotheses, and measured parameters), and general findings (findings and practical recommendations). We found that most of the studies had analyzed dairy products as PL products, and the main non-health selection factors used were lower price and price–quality ratios. Health aspects were considered in only four of the analyzed studies, which focused on the evolution of PL products from low-cost products to sustainable brands with significant added value in terms of quality and health aspects.