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Research has shown that hungry individuals are more impulsive, impatient, and prone to make indulgent food choices compared to their satiated counterparts. However, the literature is still mixed, with some studies showing such results while others fail to demonstrate hunger effects on consumers' choice behavior. The current cross-sectional study (N = 461) sought to address these inconsistencies by examining whether the link between hunger and people's propensity to make indulgent (vs. virtuous) food choices is moderated by their healthy eating concerns. Our findings revealed a weak but significant association between participants' self-reported hunger levels and their likelihood of making indulgent rather than virtuous food choices (e.g., preferring a chocolate cake instead of a fruit salad). Importantly, this effect was moderated by their healthy eating concerns, such that the link between hunger and choice likelihood of indulgent food options only emerged among participants who scored lower, but not higher, in healthy eating concerns. We also replicated these results in a robustness check that focused on the extent to which participants indicated having a healthy lifestyle (e.g., exercising regularly), with a similar moderating influence of this factor. Together, these findings shed light on the importance of considering certain boundary conditions for establishing a link between hunger and consumers' food choices, thus adding nuance to the growing body of hunger-related literature. The results emphasize the importance of ensuring the availability of healthier snack options in environments wherein foods and beverages can be consumed, particularly at times when consumers tend to be hungry, to promote healthier eating habits.

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The content of polyphenols and metal elements in tea has an important impact on the choice of consumers. In this study, we conducted a comparative analysis of ten elements including Fe, Mg, Al, Zn, Cu, Mn, Ni, Cr, Pb, and As in 122 representative tea samples from 20 provinces. The results showed that the difference of metal content among six tea categories was greater than that among provinces, and the overall metal content of black tea was relatively higher. The contents of all elements from high to low were: Mg > Mn > Al > Fe > Zn > Cu > Ni > Cr > Pb > As. The contents of Ni, Fe, Al, Zn and Mn showed significant differences among multiple types of tea categories. While the detection rates of Pb and As were 10.7 and 24.6%, respectively. The contents of all elements were in line with the national limit standards. Meanwhile, the relative contents of theanine, caffeine and a total of 53 polyphenolic compounds in 122 tea samples were detected. The analysis showed that the content of these compounds differed least between green and yellow tea, and the largest difference between black tea and oolong tea. This study provides important support for consumers to choose tea rationally.

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This study explored the impact of various label information (extrinsic attributes) and sociodemographic and attitudinal factors (intrinsic attributes) on Brazilian consumer choices, using simulated traditional and plant-based muçarela cheese as the model product. The research was conducted in two phases: the first involved a structured questionnaire assessing attitudinal dimensions such as Health Consciousness, Climate Change, Plant-based Diets, and Food Neophobia, along with sociodemographic data collection. The second phase comprised a discrete choice experiment with (n = 52) and without (n = 509) eye tracking. The term "Cheese" on labels increased choice probability by 7.6% in a general survey and 15.1% in an eye tracking study. A prolonged gaze at "Cheese" did not affect choice, while more views of "Plant-based product" slightly raised choice likelihood by 2.5%. Repeatedly revisiting these terms reduced the choice probability by 3.7% for "Cheese" and 1% for "Plant-based product". Nutritional claims like "Source of Vitamins B6 and B12" and "Source of Proteins and Calcium" boosted choice probabilities by 4.97% and 5.69% in the general and 8.4% and 6.9% in the eye-tracking experiment, respectively. Conversely, front-of-package labeling indicating high undesirable nutrient content decreased choice by 13% for magnifying presentations and 15.6% for text. In a plant-based subsample, higher environmental concerns and openness to plant-based diets increased choice probabilities by 5.31% and 5.1%, respectively. These results highlight the complex dynamics between label information, consumer understanding, and decision-making.

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The use of mobile applications to assist with food decision making has increased significantly. Although food scanner applications provide nutritional information to consumers in the marketplace, little is known about their effects on users' intentions and behavior. This research investigates whether a mobile food scanner app can influence consumers toward healthier food choices. Four studies tested whether information displayed through a food scanner app (as opposed to no information or front-of-packaging label information) influenced purchase intentions for food products (Studies 1-3) or led consumers to make healthier food choices (Study 4). Application-provided information enhanced hypothetical choice and purchase intentions of healthy products in comparison no information, but it did not influence real behavior when participants made choices in an experimental supermarket. Information provided through a food scanner app was systematically outperformed by front-of-packaging label information.

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Previous research has shown that individuals do not always make rational decisions when selecting their health insurance, for example, due to the existence of information frictions or mental gaps. We study the effect of specific types of information provision for decision support on health plan choices and test their potential to improve decision quality by implementing a randomized laboratory experiment. We provide personalized and generic aids, differentiate between numerical and visual decision support, and provide one or two optional formats of personalized information. We find that generic aids have no effect on health plan choices while personalized information leads to better choices as measured by several indicators of decision quality. The largest effects were observed for those who "opted in" to visualize personalized information, with immediate and lasting improvements in health insurance decisions. By reducing information frictions, our results suggest that accessible and easy-to-use tools can positively impact health insurance navigation, improve decision-making, and reduce switching costs.

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Cognitive explanations raise epistemological problems not faced by accounts confined to observable variables. Many explanatory components of cognitive models are unobservable: beliefs, attitudes, and intentions, for instance, must be made empirically available to the researcher in the form of measures of observable behavior from which the latent variables are inferred. The explanatory variables are abstract and theoretical and rely, if they are to enter investigations and explanations, on reasoned agreement on how they can be captured by proxy variables derived from what people say and how they behave. Psychometrics must be founded upon a firm, intersubjective agreement among researchers and users of research on the relationship of behavioral measures to the intentional constructs to which they point and the latent variables they seek to operationalize. Only if these considerations are adequately addressed can we arrive at consistent interpretations of the data. This problem provides the substance of the intentional behaviorist research programme which seeks to provide a rationale for the cognitive explanation. Within this programme, two versions of the Behavioral Perspective Model (BPM), an extensional portrayal of socioeconomic behavior and a corresponding intentional approach, address the task of identifying where intentional explanation becomes necessary and the form it should take. This study explores a third version, based on neurophysiological substrates of consumer choice as a contributor to this task. The nature of "value" is closely related to the rationale for a neurophysiological model of consumer choice. The variables involved are operationally specified and measured with high intersubjective agreement. The intentional model (BPM-I), depicting consumer action in terms of mental processes such as perception, deliberation, and choice, extends the purview of the BPM to new situations and areas of explanation.

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More than 16 million people receive health care coverage through the Affordable Care Act's (ACA) individual health insurance marketplaces. Many enrollees receive premium subsidies that are tied to the premium of the second least expensive silver plan available. This study investigates the consistency of the least expensive silver plan offered on Healthcare.gov from 2014 to 2021 and finds that on average, from one year to the next, the same insurer offered the least expensive silver plan in 63.1% of counties representing 54.7% of the population. However, even when the same insurer offers the least expensive plan, almost half the time, they introduce a new, less expensive plan in the next policy year. Consequently, ACA enrollees who previously purchased the least expensive silver plan may face incremental premium costs unless they spend time and effort to carefully reevaluate their choices each year. We estimate the potential premium cost of inattention and show how it varies over time and across states.

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Electric vehicle sales have been growing rapidly in the United States and around the world. This study explores the drivers of demand for electric vehicles, examining whether this trend is primarily a result of technology improvements or changes in consumer preferences for the technology over time. We conduct a discrete choice experiment of new vehicle consumers in the United States, weighted to be representative of the population. Results suggest that improved technology has been the stronger force. Estimates of consumer willingness to pay for vehicle attributes show that when consumers compare a gasoline vehicle to its battery electric vehicle (BEV) counterpart, the improved operating cost, acceleration, and fast-charging capabilities of today's BEVs mostly or entirely compensate for their perceived disadvantages, particularly for longer-range BEVs. Moreover, forecasted improvements of BEV range and price suggest that consumer valuation of many BEVs is expected to equal or exceed their gasoline counterparts by 2030. A suggestive market-wide simulation extrapolation indicates that if every gasoline vehicle had a BEV option in 2030, the majority of new car and near-majority of new sport-utility vehicle choice shares could be electric in that year due to projected technology improvements alone.

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BACKGROUND: Analyses of out-of-pocket healthcare spending often suffer from an inability to distinguish necessary from optional spending in the data without making further assumptions. We propose a two-dimensional rating of the spending categories often available in household budget survey data where we consider the requirement to pay for necessary healthcare as one dimension and the incentive to pay extra for additional services, higher quality options or more convenience as a second dimension to assess the distortionary potential of higher spending for additional healthcare or higher quality options. METHODS: We use three waves of a large German Household Budget Survey and decompose the Kakwani-index of total out-of-pocket healthcare spending into contributions of the eleven spending categories available in our data, across which user charge regulations vary considerably. We compute and decompose Kakwani-indexes for the different spending categories to compare the degrees of regressiveness across them. RESULTS: The results suggest that categories with higher incentives for additional spending exhibit smaller contributions to the overall regressive effect of total out-of-pocket spending than categories where spending is presumably mostly on necessary and effective care. CONCLUSIONS: Assessing the consumer choice potential of different spending categories is important because extra spending among the better-off may outweigh necessary spending in aggregate expenditure data, and may also hint at potential inequalities in the quality of provided healthcare.

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Food items are increasingly chosen based on sustainability attributes as the public is becoming increasingly aware of the environmental and animal welfare impacts of production systems, in addition to the traditional consideration for nutrition. Although surveys have been used to investigate the demand for these attributes in unprocessed products, little information exists on how these attributes impact consumer preferences in the case of processed products or prepared meals. This study uses a stated preference survey to examine Quebec (Canada) consumers' preferences for eggs from four production systems with different impacts on animal welfare and on the environment. We compare the respondents' choices of fresh eggs and two prepared meals that contain eggs. Furthermore, we examine the shift in choices following information treatments on animal welfare, nutrition, or environmental impact attributes. Results indicate that respondents choose eggs from more sustainable production systems more frequently when included in prepared meals than in their unprocessed form. The provision of information led participants to update prior beliefs and revise their initial choices, especially for animal welfare attributes.

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Tversky and Kahneman (1981) told participants to imagine they were at a store about to purchase an item. They were asked if they would be willing to drive 20 min to another store to receive a $5 discount on the item's price. Most participants were willing, but only when the original price of the item was small ($15); when the original price was relatively large ($125), most said they would not drive 20 min for a $5 discount. We examined this framing effect in 296 participants, but instead used a psychophysical-adjustment procedure to obtain quantitative estimates of the discount required with different (a) item prices, (b) delays until the item's receipt, and (c) opportunity costs (in "driving" vs. "delivery" tasks). We systematically replicated Tversky and Kahneman's results, but also extended them by showing a substantial influence of opportunity costs on the consumer discounts required. A behavioral model of delay discounting-additive-utility theory-accounted for 97% of the variance in these consumer discounts.

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The objective of this research is to estimate the proportion of consumers who consider nutrients identified in the Dietary Guidelines for Americans 2020-2025 (DGA) as being of public health concern during food choice using a large, population-weighted sample of U.S. residents. A question was included in a bi-monthly survey of consumer scanner panel members, asking whether respondents considered each of eight nutrients in a check-all-that-apply format. Four of these nutrients are under-consumed nutrients, while three are nutrients to avoid. Calories was additionally included, as over-consumption of calories causes weight gain. Weighted mean proportions and 95% confidence intervals were estimated. The survey was administered to a population-weighted sample of 42,018 US consumers participating in a consumer scanner panel in May-June 2021 by an online survey firm that maintains the consumer panel. Over one-quarter of respondents considered none of the nutrients. Each under-consumed nutrient of public health concern was considered by less than 30% of respondents, ranging from a low of 14.5% for potassium (95%CI = 14.3-14.7%) to a high of 28.9% for dietary fiber (95%CI = 28.7-29.1%). Nutrients to be avoided were considered by higher percentages of the sample, ranging from 31.8% for saturated fats (95%CI = 31.6-32.0%) to 46.1% for added sugars (95%CI = 45.8-46.3%). Respondents considered an average of just over 2.4 total nutrients, with a greater focus on nutrients to avoid, including calories (weighted mean = 1.55), than under-consumed nutrients (weighted mean = 0.89). Over one-quarter of consumers considered no nutrients of public health concern. Consumers focused more on nutrients to avoid rather than under-consumed nutrients. Promoting increased awareness of important under-consumed nutrients may improve public health.

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Food labels are the first information tool used by consumers in the purchase and consumption of food products. Food labeling is a tool that can influence the consumers' perception of quality and, in turn, their food choice. This study characterizes and demonstrates the importance of labeling and the degree of consumers' perception and literacy about food labels through the application of an online questionnaire. The results obtained, in a sample of n = 467, showed that Portuguese consumers have the habit of reading the label and recognizing its importance but do not understand all the information contained in the label. They have an easier time understanding the front-of-pack labeling systems, especially those presented through symbols/colors. Thus, it demonstrates the need for greater education and literacy in the areas of food and nutrition so that through the reading and interpretation of labels, consumers can make informed food choices.

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The purposes of this study were to (1) determine beliefs in the health benefits of dietary fiber, an under-consumed nutrient of public health concern, and (2) determine the relationship between beliefs about dietary fiber and consideration of fiber when making food choices. We conducted a nationally representative within-subject randomized online survey of 42,018 US primary shoppers in May-June 2021. Participants selected health benefits they believed were associated with consumption of fiber from a list of six benefits recognized by the Food and Drug Administration (FDA), one indirect benefit, and one unrelated benefit. Respondents then indicated which nutrients, if any, they considered when making food choices. Respondents selected 1.77 (95% CI = 1.76-1.77) FDA-recognized benefits out of a total six; half (50.6%) of respondents identified zero or one FDA-recognized benefit. The most-cited benefit was "improving bowel movements" (64.4%). Older participants perceived significantly more FDA-recognized fiber benefits. Identification of FDA-recognized benefits increased odds ratios for consideration of fiber during food choice (relative to zero benefits) from 3.0 for one benefit (95% CI = 2.8-3.3) to 14.3 for six benefits (95% CI = 12.4-16.6). Consumers are largely unaware of the many health benefits of dietary fiber, which dramatically decreases the likelihood that they consider this important, under-consumed nutrient during food choice.

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The compromise effect is an important context effect, but its research is still insufficient under the influence of social factors and purchase tasks. This study explores the change of compromise effect in different group norm scenarios by constructing three different group norm reference points. Three conclusions were drawn. First, the compromise effect always exists under the influence of different groups' normative reference points if there is a compromise effect in a product set. Second, the effect value of the compromise effect will be significantly different with the change of group norm reference point. Third, group norms can indeed induce the compromise effect. Therefore, these findings would help to further enrich the literature results of the compromise effect and strengthen its application in marketing practice.

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Product bundling is a common retail marketing strategy. The bundling of food items has the potential to increase profits in the grocery sector, particularly for fresh produce, which often has lower profit margins. Although prior work suggests consumers prefer bundles because they require less cognitive effort to select, no study has yet experimentally manipulated cognitive load when food bundles are included in the choice set. To test whether bundle preference differs when cognitive resources are constrained, a grocery shopping experiment was conducted with 250 consumers in the midwestern U.S., in a laboratory that featured a grocery store display. Consumers who grocery shopped under cognitive load had a higher odds of selecting a food bundle even when the bundle did not offer a price discount. Results suggest food bundles may be preferred because they require less cognitive effort to process, which could benefit consumers by simplifying the grocery shopping experience. Additional factors found to influence food bundle selection included whether the bundled items were perceived as being complementary and hunger levels. Food bundles could help lessen cognitive effort associated with grocery shopping and may especially appeal to those who do not enjoy food shopping.

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In response to the unexpected outbreak of the novel coronavirus (COVID-19), governments worldwide implemented stringent measures to contain its transmission. This study investigates the effect of the stringency of COVID-19 outbreak government measures on hotel occupancy rates in the world's top ten visitor destination countries. The analysis in this study draws upon the recently developed novel indicator, government stringency, compiled systematically by the Oxford COVID-19 Government Response Tracker for March 2020 to March 2021. By adopting a structural consumer choice model, the panel estimation procedure is applied to assess the effect of government stringency on hotel occupancy rates. The findings revealed a statistically significant adverse effect of government stringency on hotel occupancy rates. The findings suggest that although government containment measures had the desired effect of reducing transmissions of COVID-19 and a crucial predictor of hotel occupancy rates in the top ten tourist destination countries, it adversely impacted the tourism hospitality sector through reduced demand for hotel accommodation as occupancy rates plunged. This study's analysis supports the consumer choice modelling approach as it can be considered a relevant analytical framework that is satisfactorily able to explain the adverse effects of governments containment measures on hotel occupancy rates. This research contributes to the tourism modelling literature and complements previous studies in providing an additional understanding of the effect of government stringency measures based on the newly established Oxford COVID-19 Government Response Tracker Database within a coherent modelling framework.

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Due to new technologies, a profusion of products is released onto store shelves and the Internet, resulting in a special choice condition termed hyperchoice. Past research on whether hyperchoice deteriorates decision experience is mixed. The present study hypothesizes the experience in the scenario of hyperchoice may be moderated by individual characteristics, including numeracy and age differences. A total of 116 older adults and 112 younger adults were recruited from Amazon Mechanical Turk. Along with the Rasch-based numeracy scale, each participant completed a consumer and a gamble choice task. In both tasks, the number of options being presented to participants was manipulated to create a hyperchoice condition (sixteen options) and a simple-choice condition (four options). Dependent variables were post-choice difficulty and satisfaction. Multiple regressions were performed with SPSS 24.0 to test the hypothesis. As a result, hyperchoice was related to greater decision difficulty in both choice tasks. Moreover, there was an interaction between numeracy and hyperchoice in the gamble task. Specifically, whereas higher numerate participants' experienced difficulty and satisfaction were relatively stable between the two choice conditions, lower numerate participants experienced more difficulty and dissatisfaction in the hyperchoice condition than in the simple-choice condition. Additionally, compared to younger adults, older adults reported greater decision difficulty and lower decision satisfaction, regardless of choice condition. The study supported the notion that the specific effect of hyperchoice was moderated by individual factors. The study implied merchants should adopt strategies to ease decision experience and advocated for numeracy education.

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BACKGROUND AND OBJECTIVES: In recent years, countries have increasingly relied on markets to improve efficiency, contain costs, and maintain quality in aged care. Under the right conditions, competition can spur providers to compete by offering better prices and higher quality of services. However, in aged care, market failures can be extensive. Information about prices and quality may not be readily available and search costs can be high. This study undertakes a scoping review on competition in the nursing home sector, with an emphasis on empirical evidence in relation to how competition affects prices and quality of care. RESEARCH DESIGN AND METHODS: Online databases were used to identify studies published in the English language between 1988 and 2020. A total of 50 studies covering 9 countries are reviewed. RESULTS: The review finds conflicting evidence on the relationship between competition and quality. Some studies find greater competition leading to higher quality, others find the opposite. Institutional features such as the presence of binding supply restrictions on nursing homes and public reporting of quality information are important considerations. Most studies find greater competition tends to result in lower prices, although the effect is small. DISCUSSION AND IMPLICATIONS: The literature offers several key policy lessons, including the relationship between supply restrictions and quality, which has implications on whether increasing subsidies can result in higher quality and the importance of price transparency and public reporting of quality.

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The decoy effect is a well-known, intriguing decision-making bias that is often exploited by marketing practitioners to steer consumers towards a desired purchase outcome. It demonstrates that an inclusion of an alternative in the choice set can alter one's preference among the other choices. Although this decoy effect has been universally observed in the real world and also studied by many economists and psychologists, little is known about how to mitigate the decoy effect and help consumers make informed decisions. In this study, we conducted two experiments: a quantitative experiment with crowdsourcing and a qualitative interview study-first, the crowdsourcing experiment to see if visual interfaces can help alleviate this cognitive bias. Four types of visualizations, one-sided bar chart, two-sided bar charts, scatterplots, and parallel-coordinate plots, were evaluated with four different types of scenarios. The results demonstrated that the two types of bar charts were effective in decreasing the decoy effect. Second, we conducted a semi-structured interview to gain a deeper understanding of the decision-making strategies while making a choice. We believe that the results have an implication on showing how visualizations can have an impact on the decision-making process in our everyday life.

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