Beverage Purchases Research Articles

How Customers Decide: Unveiling the Drivers of Customers’ Online Purchase Behavior on Online Food Delivery Apps

Online Food Delivery (OFD) applications have become integral to modern consumer behavior, offering convenience in food and beverage purchases. However, challenges such as inconsistent user experiences, safety concerns, unreliable delivery, and food quality issues continue to impact customer satisfaction and purchase behavior. This research explores the factors influencing Customers’ Online Purchase Behavior (COPB) on OFD platforms in Malaysia, using the Unified Theory of Acceptance and Use of Technology (UTAUT2) framework. Data was collected through convenience sampling from OFD users in the Klang Valley region, and analyzed using descriptive and inferential statistics via the Statistical Package for Social Sciences (SPSS) and Partial Least Squares Structural Equation Modelling (PLS-SEM) respectively. The findings indicate that Social Influence, Hedonic Motivation, Price Value, Habit, and Trialability significantly impact COPB. Among these, Social Influence had the strongest positive effect (β = 0.171, p < 0.001), suggesting that users’ decisions are strongly influenced by the perceptions of others. However, Performance Expectancy, Effort Expectancy, and Facilitating Conditions were not found to significantly influence COPB. This lack of significance could be attributed to the mature technological infrastructure in Malaysia and the normalization of OFD applications. The study concludes that OFD service providers should focus on enhancing social connections, user enjoyment, competitive pricing, and habitual usage to boost customer satisfaction and loyalty. This research offers valuable insights for industry practitioners and suggests areas for future research, particularly regarding the role of performance-related factors in a mature market context.

Are food and beverage purchases reflective of dietary intake? Validity of supermarket purchases as indicator of diet quality in the Supreme Nudge Trial.

Dietary intake assessment is often complicated by intrinsic bias. This study investigated whether food purchase data could constitute a valid indication of dietary intake, by evaluating the extent to which diet quality as measured by supermarket food purchases is correlated with diet quality as measured by reported dietary intake. We used data from the Supreme Nudge cluster-randomised controlled supermarket trial (n 227). Data were collected at baseline from supermarket purchases (loyalty cards) and a dietary questionnaire (short forty-item FFQ) to compute two scores reflecting diet quality from purchasing data (purchased diet quality) and FFQ (consumed diet quality). Both scores constituted thirteen food groups and could theoretically range from 0 (low diet quality) to 130 (high diet quality). The relationship between purchased diet quality and consumed diet quality was assessed using correlation coefficients and the Bland-Altman limits-of-agreement method. Multiple linear regression was fitted between purchased diet quality and consumed diet quality, adjusted for age, sex, waist circumference, educational level and household size. Consumed and purchased diet qualities were modestly positively correlated (Pearson's ρ = 0·31, 95 % CI 0·18, 0·42). A positive association from linear regression was found after confounding adjustments (βbaseline = 0·22, 95 % CI 0·10, 0·34). The purchased diet quality was systematically lower than the consumed diet quality. This study found that diet quality as measured by supermarket purchases provided a reasonable indication of diet quality as reported by short-FFQ, albeit modest.

Water insecurity and purchases of soft and sweet beverages: a case study in the obesogenic context of the Pacific Islands

Pacific Islands face challenges of low water accessibility and increasing climate threats posing risks to populations. These challenges are compounded by public health concerns related to poor nutritional outcomes and obesity. Using household survey data from Kiribati, this study contributes to the literature by analyzing the relationship between access to safe drinking water and risky behaviors leading to obesity. The findings reveal a significant negative association between access to a piped water system and purchases of soft and sweet beverages (SSB). Compared to households with a piped water system, those relying on groundwater and rainwater purchase 381 and 406 extra grams of SSB per week, respectively. Thus, improving access to safe water can be a relevant public policy to prevent hazardous beverage consumption and obesity, along with the already documented positive outcomes such policies can have for human health and economic development.

Carbon footprint of food and beverage purchases: a preliminary analysis using loyaltycard transaction data from a UK supermarket

Globally, a third of total anthropogenic greenhouse gas emissions (GHGE) are produced by the food system(1). Estimating the carbon footprint of current diets is therefore important to consumers, businesses, and policymakers. With most home-consumed food in the United Kingdom (UK) purchased from supermarkets(2), supermarket purchasing records represent a novel data source that can provide insights into dietary patterns(3). These data are particularly useful in an environmental sustainability context as they provide information on the amounts of foods and beverages purchased, not just the amounts consumed (as in traditional dietary assessments). We estimated GHGE of foods and beverages purchased in Yorkshire and the Humber region of the UK using supermarket transaction data from primary-shopper loyalty cards over 12 months in 2022.We mapped a UK retailer’s food and beverage products to GHGE (kg CO2-eq/kg) using data on the environmental footprint of food commodities(4), and grouped the products according to the Living Costs and Food Survey (LCFS) categories. The sustainability mapping process was guided by product sales (i.e., prioritising the most sold products and categories) and involved three stages utilising mapping approaches with different complexity, resulting in 98.6% of >28,000 store products being mapped. We estimated total GHGE of each product by multiplying the final mapped GHGE by the product weight (as sold). We then used these product-level GHGE estimations (kg CO2-eq/item) in conjunction with the sales data (number of items sold) to estimate the contribution of each product, and subsequently each LCFS category, to total GHGE from all purchases.When incorporating sales, the LCFS categories with the highest contributions to total GHGE included ‘beef’ (19.6%), ‘milk’ (9.8%), ‘cheese and curd’ (8.6%), ‘ready meals’ (6.9%), and ‘poultry’ (5.5%). The LCFS categories among the lowest contributors to total GHGE included ‘confectionery products’ (0.2%), ‘pasta products’ (0.4%) and ‘soft drinks’ (0.5%). Although some LCFS categories had higher GHGE per kg for their products, they were sold in smaller quantities, and therefore, their contributions to total GHGE were lower in total. For example, ‘lamb’ was in the top five LCFS categories with the highest GHGE per kg (39.7 kg CO2-eq/kg) but contributed to 1.4.% of total estimated GHGE when incorporating sales information, which was less than ‘bread’ (2.2%) and ‘yoghurt’ (1.7%).Our results highlight that although some foods might be very GHGE-intensive on a per weight basis, they have a lower overall GHGE impact if they are not frequently purchased in the population. These supermarket sales data are an important resource to understanding and subsequently tackling the environmental impact of the food system. Further research, including other environmental sustainability metrics (e.g., water and land use), is needed to provide a more comprehensive picture of the environmental footprint of foods and beverages purchased by UK consumers.

Supply- and demand-side drivers of the change in the sugar density of food purchased between 2015 and 2018 in Great Britain.

The UK government launched a two-component sugar-reduction programme in 2016, one component is the taxation of sugar-sweetened beverages, the Soft Drinks Industry Levy, and the second is a voluntary sugar reduction programme for products contributing most to children's sugar intakes. These policies provided incentives both for industry to change the products they sell and for people to change their food and beverage choices through a 'signalling' effect that has raised awareness of excess sugar intakes in the population. In this study, we aimed to identify the relative contributions of the supply- and demand-side drivers of changes in the sugar density of food and beverages purchased in Great Britain. While we found that both supply- and demand-side drivers contributed to decreasing the sugar density of beverage purchases (reformulation led to a 19 % reduction, product renewal 14 %, and consumer switching between products 8 %), for food products it was mostly supply-side drivers (reformulation and product renewal). Reformulation contributed consistently to a decrease in the sugar density of purchases across households, whereas changes in consumer choices were generally in the opposite direction, offsetting benefits of reformulation. We studied the social gradient of sugar density reduction for breakfast cereals, achieved mostly by reformulation, and found increased reductions in sugar purchased by households of lower socio-economic status. Conversely, there was no social gradient for soft drinks. We conclude that taxes and reformulation incentives are complementary and combining them in a programme to improve the nutritional quality of foods increases the probability of improvements in diet quality.

Decreases in purchases of energy, sodium, sugar, and saturated fat 3 years after implementation of the Chilean food labeling and marketing law: An interrupted time series analysis.

In 2016, Chile implemented a multiphase set of policies that mandated warning labels, restricted food marketing to children, and banned school sales of foods and beverages high in nutrients of concern ("high-in" foods). Chile's law, particularly the warning label component, set the precedent for a rapid global proliferation of similar policies. While our initial evaluation showed policy-linked decreases in purchases of high-in, a longer-term evaluation is needed, particularly as later phases of Chile's law included stricter nutrient thresholds and introduced a daytime ban on advertising of high-in foods for all audiences. The objective is to evaluate changes in purchases of energy, sugar, sodium, and saturated fat purchased after Phase 2 implementation of the Chilean policies. This interrupted time series study used longitudinal data on monthly food and beverage purchases from 2,844 Chilean households (138,391 household-months) from July 1, 2013 until June 25, 2019. Nutrition facts panel data from food and beverage packages were linked at the product level and reviewed by nutritionists. Products were considered "high-in" if they contained added sugar, sodium, or saturated fat and exceeded nutrient or calorie thresholds. Using correlated random-effects models and an interrupted time series design, we estimated the nutrient content of food and beverage purchases associated with Phase 1 and Phase 2 compared to a counterfactual scenario based on trends during a 36-month pre-policy timeframe. Compared to the counterfactual, we observed significant decreases in high-in purchases of foods and beverages during Phase 2, including a relative 36.8% reduction in sugar (-30.4 calories/capita/day, 95% CI -34.5, -26.3), a 23.0% relative reduction in energy (-51.6 calories/capita/day, 95% CI -60.7, -42.6), a 21.9% relative reduction in sodium (-85.8 mg/capita/day, 95% CI -105.0, -66.7), and a 15.7% relative reduction in saturated fat (-6.4 calories/capita/day, 95% CI -8.4, -4.3), while purchases of not-high-in foods and drinks increased. Reductions in sugar and energy purchases were driven by beverage purchases, whereas reductions in sodium and saturated fat were driven by foods. Compared to the counterfactual, changes in both high-in purchases and not high-in purchases observed in Phase 2 tended to be larger than changes observed in Phase 1. The pattern of changes in purchases was similar for households of lower versus higher socioeconomic status. A limitation of this study is that some results were sensitive to the use of shorter pre-policy time frames. Compared to a counterfactual based on a 36-month pre-policy timeframe, Chilean policies on food labeling, marketing, and school food sales led to declines in nutrients of concern during Phase 2 of implementation, particularly from foods and drinks high in nutrients of concern. These declines were sustained or even increased over phases of policy implementation.

Association Between the Nutritional Quality of Food Purchases and Household Food at Home Expenditures in Mexico

BackgroundPoor-quality diets are a major risk factor for noncommunicable diseases. Few studies in Mexico have tested whether higher expenditures are needed to purchase high-quality food. ObjectiveThe objective of the study was to assess how dietary quality of food purchases was associated with household food at home expenditures. DesignThis study was a secondary analysis of cross-sectional data from the National Household Income and Expenditure Survey (EncuestaNacional de Ingresos y Gastos de los Hogares [ENIGH] 2018). Participants/settingThe study included 74 469 households with information on food and beverage purchases in Mexico in 2018. Main outcome measuresQuarterly household food at home expenditures by adult equivalent (AE) for all food groups that were scored with the Global Dietary Quality Score (GDQS) for food purchases expressed in dollars/quarterly/AE. Statistical analyses performedAdjusted generalized linear models were used to evaluate the association between GDQS for food purchases (expressed in tertiles: low, mid, and high) and quarterly food expenditures. The analyses were performed at the national level by place of residence and income quintile. ResultsAt the national level, the difference in food expenditures between the high- and the low-GDQS groups was +$13.85/AE. By place of residence, the difference between the high- and the low-GDQS groups was +$17.31/AE in urban and +$5.12/AE in rural areas. For income quintile 1 (lowest), there was a statistical difference of –$4.79/AE and +$43.25 for quintile 5 (highest). ConclusionsQuality of food purchases can be associated with higher or lower expenditures depending on the specific food purchased. High GDQS is associated with lower expenditures among the lowest-income households as they purchase less expensive options compared with high-income households.

Pengaruh Variasi Menu Terhadap Keputusan Mahasiswa Dalam Pembelian Makanan Dan Minuman Online Di Aplikasi Grabfood

This study aims to explore the influence of food and beverage menu variety on students' purchasing decisions when using the GrabFood application. Menu variety is considered a crucial factor that may affect consumers' preferences and purchasing decisions in the context of online food and beverage purchases. The research method employs simple linear regression to analyze data collected from 69 student samples who are GrabFood application users, selected from the population of students using the application at a university campus. The results of data analysis indicate a positive and significant influence of food and beverage menu variety on students' purchasing decisions in the GrabFood application, highlighting the importance for service providers like GrabFood to expand menu variety to enhance consumer satisfaction and loyalty, as well as to strengthen the company's position in the online food delivery industry. Therefore, recommendations are provided to continuously improve menu variety in the application, and to further understand consumer preferences and needs to enhance purchasing decisions and strengthen the company's market position.

Trends in the contribution of greenhouse gas emissions from food and beverage purchases in Mexico: 1989–2020

BackgroundAssessing the trends in dietary GHGE considering the social patterning is critical for understanding the role that food systems have played and will play in global emissions in countries of the global south. Our aim is to describe dietary greenhouse gas emissions (GHGE) trends (overall and by food group) using data from household food purchase surveys from 1989 to 2020 in Mexico, overall and by education levels and urbanicity.MethodsWe used cross-sectional data from 16 rounds of Mexico’s National Income and Expenditure Survey, a nationally representative survey. The sample size ranged from 11,051 in 1989 to 88,398 in 2020. We estimated the mean total GHGE per adult-equivalent per day (kg CO2-eq/ad-eq/d) for every survey year. Then, we estimated the relative GHGE contribution by food group for each household. These same analyses were conducted stratifying by education and urbanicity.ResultsThe mean total GHGE increased from 3.70 (95%CI: 3.57, 3.82) to 4.90 (95% CI 4.62, 5.18) kg CO2-eq/ad-eq/d between 1989 and 2014 and stayed stable between 4.63 (95% CI: 4.53, 4.72) and 4.89 (95% CI: 4.81, 4.96) kg CO2-eq/ad-eq/d from 2016 onwards. In 1989, beef (19.89%, 95% CI: 19.18, 20.59), dairy (16.87%, 95% CI: 16.30, 17.42)), corn (9.61%, 95% CI: 9.00, 10.22), legumes (7.03%, 95% CI: 6.59, 7.46), and beverages (6.99%, 95% CI: 6.66, 7.32) had the highest relative contribution to food GHGE; by 2020, beef was the top contributor (17.68%, 95%CI: 17.46, 17.89) followed by fast food (14.17%, 95% CI: 13.90, 14.43), dairy (11.21%, 95%CI: 11.06, 11.36), beverages (10.09%, 95%CI: 9.94, 10.23), and chicken (10.04%, 95%CI: 9.90, 10.17). Households with higher education levels and those in more urbanized areas contributed more to dietary GHGE across the full period. However, households with lower education levels and those in rural areas had the highest increase in these emissions from 1989 to 2020.ConclusionsOur results provide insights into the food groups in which the 2023 Mexican Dietary Guidelines may require to focus on improving human and planetary health.

Comparison of Sales From Vending Machines With 4 Different Food and Beverage Messages

Point-of-sale food messaging can encourage healthier purchases, but no studies have directly compared multiple interventions in the field. To examine which of 4 food and beverage messages would increase healthier vending machine purchases. This randomized trial assessed 13 months (February 1, 2019, to February 29, 2020) of vending sales data from 267 machines and 1065 customer purchase assessments from vending machines on government property in Philadelphia, Pennsylvania. Data analysis was performed from March 5, 2020, to November 8, 2022. Study interventions were 4 food and beverage messaging systems: (1) beverage tax posters encouraging healthy choices because of the Philadelphia tax on sweetened drinks; (2) green labels for healthy products; (3) traffic light labels: green (healthy), yellow (moderately healthy), or red (unhealthy); or (4) physical activity equivalent labels (minutes of activity to metabolize product calories). Sales data were analyzed separately for beverages and snacks. The main outcomes analyzed at the transaction level were calories sold and the health status (using traffic light criteria) of each item sold. Additional outcomes were analyzed at the monthly machine level: total units sold, calories sold, and units of each health status sold. The customer purchase assessment outcome was calories purchased per vending trip. Monthly sales data came from 150 beverage and 117 snack vending machines, whereas 1065 customers (558 [52%] male) contributed purchase assessment data. Traffic light labels led to a 30% decrease in the mean monthly number of unhealthy beverages sold (mean ratio [MR], 0.70; 95% CI, 0.55-0.88) compared with beverage tax posters. Physical activity labels led to a 34% (MR, 0.66; 95% CI, 0.51-0.87) reduction in the number of unhealthy beverages sold at the machine level and 35% (MR, 0.65; 95% CI, 0.50-0.86) reduction in mean calories sold. Traffic light labels also led to a 30-calorie reduction (b = -30.46; 95% CI, -49.36 to -11.56) per customer trip in the customer purchase analyses compared to physical activity labels. There were very few significant differences for snack machines. In this 13-month randomized trial of 267 vending machines, the traffic light and physical activity labels encouraged healthier beverage purchases, but no change in snack sales, compared with a beverage tax poster. Corporations and governments should consider such labeling approaches to promote healthier beverage choices. ClinicalTrials.gov Identifier: NCT06260176.

Fruit pictures on beverage packages, health effect, and purchase intention

AbstractFaced with the serious challenge of reducing consumer obesity, research on food packaging has been limited to encouraging healthy product choices among children with poor health awareness and adults with obesity concerns. While there is a lack of discussion on packaging appealing to health‐conscious consumers, the literature has shown that realistic pictures of fruits drawn on packages can convey health and be attractive. Though this conclusion applies to apples and oranges, which are sweet fruits that can be eaten as they are without processing, results can vary with fruits such as lemons, which have a sour taste and are difficult to eat directly. This study fills the two gaps mentioned above. In Japan, a randomized controlled trial was conducted on the packaging of lemon drinks with illustrations and pictures of lemons that evoked sourness. The results showed that lemon pictures had a positive effect on purchase intention for those with high health involvement and a negative influence on those with low health involvement. In the case of the lemon illustration, this interaction did not occur, suggesting that the presence or absence of the recall of sourness was the trigger. If practitioners do not have the above perspective, there is a risk that they will mistakenly attempt to reduce the attractiveness of the product.

Exploring consumer perception and preference factors influencing carbonated beverage purchase decisions: A comprehensive study

Carbonated soft drinks (CSDs) have long been a mainstay of the beverage business but changing consumer tastes and rising health awareness have necessitated a thorough study of the variables impacting consumer choices. This study intends to explore the complex web of customer preferences, purchasing behaviour, and perceptions related to carbonated soft drinks. This research analyses how numerous variables, including gender, affect these preferences and choices via careful examination. The purpose of thepresent research is to determine the perception of consumer influencing customer choice preferences for the consumption of carbonated soft drinks, influence of gender and the role of advertisement in finalizing the choice. It would be helpful to do further research to better understand how these highlighted variables affect purchasing choices, especially gender-based variances. The important influence of gender on consumer behaviour has been acknowledged. For this study, a structured questionnaire was distributed through online social media to individuals of 12–45 years of age from the period of April–May 2023. For analysis of the data collected, SPSS 22.0 was used. The study has confirmed that consumption of Coca-Cola is higher than any other soft drink in almost the entire country. The factors like youthfulness, tradition, status symbol and level of carbonation have different influences on the buying behavior of male and female consumers.

Promoting Healthier Purchases: Ultraprocessed Food Taxes and Minimally Processed Foods Subsidies for the Low Income

Fiscal policies can shift relative food prices to encourage the purchase and consumption of minimally processed foods while discouraging the purchase and consumption of unhealthy ultraprocessed foods, high in calories and nutrients of concern (sodium, sugar, and saturated fats), especially for low-income households. The 2017-2018 packaged food purchase data among U.S. households were used to derive household income- and composition-specific demand elasticities across 22 food and beverage categories. Policy simulations, conducted in 2022-2023, assessed the impact of national taxes on unhealthy ultraprocessed food and beverage purchases, both separately and alongside subsidies for minimally processed foods and beverages targeted to low-income households. Resultant nutritional implications are reported on the basis of changes in purchased calories and nutrients of concern. In addition, financial implications for both households and the federal government are projected. A sugar-based tax on sugar-sweetened beverages would lower both volume and calories purchased with the largest impact on low-income households without children. Meanwhile, targeted subsidies would increase fruit, vegetable, and healthier drink purchases without substantially increasing calories. Under tax simulations, low-income households would make larger reductions in their absolute volume and calorie purchases of taxed foods and beverages than their higher-income counterparts, suggesting that these policies, if implemented, could help narrow nutritional disparities. Levying national taxes on unhealthy ultraprocessed foods/beverages and offering targeted subsidies for minimally processed foods/beverages could promote healthier food choices among low-income households. Such policies have the potential to benefit low-income households financially and at a relatively low cost for the federal government annually.

Quantifying the greenhouse gas emissions of New Zealand households’ food purchases: An analysis by sociodemographic variables

New Zealand has committed to a 50% reduction in greenhouse gas emissions (GHGEs) from 2005 levels by 2030. Dietary changes within New Zealand could simultaneously improve population health and contribute towards the nation’s emissions reduction target, as agricultural emissions are estimated to account for half of New Zealand’s GHGEs(1). This research aimed to quantify the GHGEs associated with household purchases of major food groups in New Zealand and identify the sociodemographic characteristics that are associated with per capita household dietary emissions. Household dietary emissions were estimated using the NielsenIQ Homescan(R) consumer panel — a large sample of households within New Zealand who report purchasing data of take-home food and beverages. The sample is nationally representative in terms of broad geographical regions and selected key demographic characteristics. Carbon emission estimates were assigned to 1,908,485 total food and beverage purchases from 1,775 households over one year (2019) using a process-based life cycle assessment (LCA) dataset initially constructed in the United Kingdom (UK) and adapted for New Zealand(2). This LCA dataset contains estimates of greenhouse gas emissions generated over the life cycle of the production of food products from the following stages: farming and processing, transit packaging, consumer packaging, transport, warehouse and distribution, refrigeration, and overheads. Greenhouse gas emissions are expressed in kg of carbon dioxide equivalents per kg of food product over a 100-year time horizon. Total emissions from purchases of major food groups were then estimated. Multiple linear regression was used to examine the relationships between household variables and per capita dietary emissions. Overall purchases of red and processed meat (35%) and dairy products (19%) were responsible for the greatest proportion of emissions. The age group of the primary household shopper as well as household size were predictors of per capita dietary emissions — households with primary shoppers > 65 years had, on average, 33% (95% CI: 20% to 49%) higher per capita dietary emissions, compared to households with primary shoppers 34 years; and every additional household member was associated with, on average, 11% (95% CI: 9% to 13%) lower per capita dietary emissions. We have shown in this large representative sample of New Zealand households that purchases of just two food groups — red and processed meat, and dairy — were responsible for approximately half of dietary greenhouse gas emissions. Larger households had lower per capita dietary greenhouse gas emissions, and older shoppers had relatively higher greenhouse gas emissions. Whilst similar associations have been reported elsewhere more research is needed to confirm these latter findings. With enhanced understanding of the observed association between age of a household’s primary shopper and per capita dietary emissions, interventions may be devised that encourage shoppers to purchase lower-emitting foods, particularly less meat and dairy.

Stretch your SNAP: Stakeholder perspectives of a novel benefits program to enhance diet quality

ObjectiveFamilies enrolled in the Supplemental Nutrition Assistance Program (SNAP) report persistent barriers to purchasing nutritious foods. This mixed-methods study explored SNAP users’ food and beverage purchasing patterns and perspectives regarding potential modifications to SNAP to inform the design of SNAP+, a healthy incentive program to increase fruit and vegetable (FV) and decrease sugar-sweetened beverage (SSB) purchases. MethodsParticipants were recruited through a non-profit organizational network to participate in an online survey. Survey measures included: SNAP usage patterns, meal/shopping patterns, and perceptions of potential changes to SNAP. A subset (N = 28) was invited to participate in an interview to further explore these domains. Frequencies were calculated to explore trends in quantitative data, with thematic analysis applied to qualitative data. ResultsParticipants (N = 278) identified as female (81.0 %), head of household (90.8 %) and mothers (70.5 %), with most (66.5 %) using SNAP ≥ 1 year. Most spend >$15 of SNAP (87.1 %) and >$15 of non-SNAP (60.8 %) dollars on FVs/month. Respondents spend <$5 of SNAP (34.2 %) and non-SNAP (47.5 %) dollars on SSBs/month. Factors shaping purchasing behaviors included: cost (71.6 %), health (80.2 %) and avoiding waste (73.0 %). Inflation and existing purchasing patterns motivated interest in potentially enrolling in SNAP +. Diminished autonomy and a need to reallocate other funds to purchase SSBs were identified as enrollment deterrents. ConclusionSNAP users were generally receptive to modifications that would pair FV incentives with SSB restrictions, yet strategies to maintain autonomy are needed. Results can inform the design of SNAP + to enhance its potential as strategy to positively shape dietary intake patterns.

Purchasing Decisions and Consumer Preferences of Millennials and Zoomers at Coffee Shops

The transformational era has given rise to a new generation that is presumed to have different preferences than the previous generation. The proliferation of coffee shops has expanded consumer alternatives for purchasing decisions. This research aims to identify and segment Millennial and Zoomer consumers based on demographic, behavioral, and psychographic characteristics in the purchase of coffee beverages at coffee shops. The research employed a non-probability sampling method, specifically judgmental sampling, with a sample size of 180 coffee shop consumers in Madiun City. The data were analyzed using descriptive statistics, independent sample t-tests, and K-means clustering. The research findings indicate that millennials and Zoomer consumers tend to be dominated by females, mostly visiting once a week for leisure and prioritizing taste quality. There are significant differences between Millennial and Zoomer consumers in terms of promotional media attributes, WiFi/power outlet availability, live music entertainment, ordering process, and payment options. Based on consumer segmentation analysis, three segments were identified: coffee enthusiasts, adventurous coffee connoisseurs, and consumers who prioritize coffee beverage quality. The managerial implications for coffee shops involve directing marketing strategies specifically towards the adventurous taste segment and emphasizing quality by prioritizing innovation and differentiation in serving high-quality coffee beverages.

Undergraduates’ Satisfaction of Online Food and Beverage Services Amidst Financial Distress in Nnewi Urban, Anambra State, Nigeria

This study determined undergraduates’ satisfaction of online food and beverage services amidst financial distress in Nnewi urban, Anambra State, Nigeria. Descriptive survey research design was used by the study. Population consisted of 3,509 students. Sample size was 35. Questionnaire was the instrument used for data collection. Data was analyzed using mean and standard deviation. Findings revealed that different types of food and beverage products were purchased online. The problems undergraduates face in online food and beverage services included delayed delivery, use of artificial food colouring and fear of food contamination. Strategies for enhancing students’ satisfaction of online purchases included timely delivery of products ordered and appropriate delivery mechanism. Findings also showed that the ways online food and beverage purchases can influence undergraduate’s finances included high cost of online food products, additional cost for delivery among others. Among recommendations made was that online food vendors should ensure that food products delivered are same with products ordered by customers in order to enhance customer satisfaction.

Effects of in-store marketing on food and beverage purchases: a longitudinal study of households with children.

Most food retailers display foods in prominent locations as a marketing strategy (i.e. 'placement promotions'). We examined the extent to which households with children change their food and beverage purchases in response to these promotions. We analysed a novel dataset of all products promoted in two supermarkets from 2016 to 2017, including promotion dates and locations (e.g. aisle endcaps and front registers). We linked promotions to all purchases from the supermarkets from 2016 to 2017 by a cohort of households with children. We calculated the number of weekly promotions in each of thirteen food and beverage groups (e.g. bread; candy) and used fixed effects regressions to estimate associations between number of weekly promotions and households' weekly food purchases, overall and by Supplemental Nutrition Assistance Program (SNAP) participation. Two large supermarkets in Maine, USA. Eight hundred and twenty-one households with children. Most promotions (74 %) were for less healthy foods. The most promoted food groups were sweet and salty snacks (mean = 131·0 promotions/week), baked goods (mean = 68·2) and sugar-sweetened beverages (mean = 41·6). Households generally did not change their food group purchases during weeks when they were exposed to more promotions for those groups, except that a 1-sd increase in endcap candy promotions (about 1 promotion/week) was associated with $0·19/week (about 14·5 %) increase in candy purchases among SNAP nonparticipants (adjusted P < 0·001). In-store placement promotions for food groups were generally not associated with purchases of promoted food groups, perhaps because exposure to unhealthy food marketing was consistently high. Substantial changes to in-store food marketing may be needed to promote healthier purchases.

Factors Affecting on Purchasing Decision Online Food and Beverages through Gofood

This study investigates the individual and joint influence of product quality, service quality, and consumer trust quality on online food and beverage purchasing decisions through Gofood, employing a quantitative approach. Drawing upon a population of 734 Islamic economics students, the Slovin formula yielded a sample of 90 respondents. Data collection utilized a questionnaire and analysis involved data quality assessment, classical assumption testing, multiple linear regression, and hypothesis testing using IBM SPSS 22. Findings reveal that all three independent variables, (X1) product quality, (X2) service quality, and (X3) trust quality, exert a simultaneous and significant influence on the dependent variable, (Y) purchasing decisions. This conclusion is supported by both the F-test (Fcount = 67.779 &gt; Ftable = 3.17, p &lt; 0.05) and individual t-tests demonstrating significant individual effects for each variable. Therefore, the study confirms that product quality, service quality, and trust quality all play independent and collective roles in shaping online food and beverage purchasing decisions through Gofood.

Trends in Sugar From Packaged Foods and Beverages Purchased by US Households Between 2002 and 2020

BackgroundExcess sugar consumption is a public health concern in the United States. How sugar purchases have changed over time, whether there are disparities across subpopulations, and the contribution of various food groups are unclear. ObjectiveTo assess trends in sugar from packaged foods and beverages purchased by US households between 2002 and 2020. DesignThis is an open cohort study. Participants/SettingWe obtained data from the NielsenIQ U.S. Homescan Consumer Panel, which collects data on household purchases of all consumer packaged goods in 52 metropolitan and 24 non-metropolitan markets across the United States. We assessed data on food and beverage purchases for 1,163,447 household-years. Main Outcome MeasuresThe primary outcomes are the total sugar in grams purchased per capita per day and percentage of calories from sugar, by sociodemographic group. Statistical Analyses PerformedWe used linear regression to estimate trends in total grams of sugar per capita per day, percentage of calories from sugar, and percentage of total sugar purchases by food or beverage group. We estimated means for select years and tested for significance compared with 2002 and with the previous timepoint and calculated the overall P-value for the linear trend using time series regression. ResultsTotal sugar purchases decreased over the study period, both in absolute terms (−37.2 g/capita/day; 95% confidence interval [CI], −38.7, −35.6) and as a percentage of total calories purchased (−5.3 percentage points; 95% CI, −5.5, −5.2). Sugar purchases declined for all sociodemographic groups, but disparities have persisted or widened, particularly among individuals who are non-Hispanic Black, low-income, and with lower educational attainment. Beverages’ contributions to sugar purchases decreased 8.1 percentage points (95% CI, −8.4, −7.8). ConclusionIn the United States, purchases of sugar declined, but disparities by socioeconomic status and race or ethnicity persisted or widened. Policies to further reduce sugar consumption and the burden of diet-related disparities are needed.