Grocery Shopping Research Articles

A machine learning approach to assess Sustainable Development Goals food performances: The Italian case.

In this study, we introduce an innovative application of clustering algorithms to assess and appraise Italy's alignment with respect to the Sustainable Development Goals (SDGs), focusing on those related to climate change and the agrifood market. Specifically, we examined SDG 02: Zero Hunger, SDG 12: Responsible Consumption and Production, and SDG 13: Climate Change, to evaluate Italy's performance in one of its most critical economic sectors. Beyond performance analysis, we administered a questionnaire to a cross-section of the Italian populace to gain deeper insights into their awareness of sustainability in everyday grocery shopping and their understanding of SDGs. Furthermore, we employed an unsupervised machine learning approach in our research to conduct a comprehensive evaluation of SDGs across European countries and position Italy relative to the others. Additionally, we conducted a detailed analysis of the responses to a newly designed questionnaire to gain a reasonable description of the population's perspective on the research topic. A general poor performance in the SDGs indicators emerged for Italy. However, from the questionnaire results, an overall significant interest in the sustainability of the acquired products from italian citizens.

Why Are Fewer Grocery Shoppers Buying Meat? Declining Grocery Sales, Prices, and Cultural Change

Why Are Fewer Grocery Shoppers Buying Meat? Declining Grocery Sales, Prices, and Cultural Change

The online grocery shopper's dilemma: Understanding the role of mediating risk on customer satisfaction

Online grocery shopping has emerged as a prominent choice, significantly accelerated by the COVID-19 pandemic. This study delves into the factors impacting customer satisfaction in the realm of online grocery shopping, focusing on the mediating influence of perceived risk. The research, conducted with a sample size of 462, employed a convenience sampling technique for data collection. The data analysis was performed using Excel, SPSS, and Structural Equation Modeling (SEM) through AMOS. The findings reveal that perceived product quality plays a pivotal role in positively and significantly influencing customer satisfaction within the online grocery shopping sphere. Conversely, perceived convenience, while positively correlated, exhibits insignificance in impacting customer satisfaction. Furthermore, this study highlights the existence of full mediation between perceived convenience and customer satisfaction, mediated by a variable, as evidenced by the non-zero values in the range of .040 to .105. This research underscores the importance for businesses engaged in online grocery retail to prioritize convenience as an essential element to enhance customer satisfaction.

Effectiveness of Technological Advancements on Customer Loyalty in Online Grocery Shopping: A Comprehensive Review

Effectiveness of Technological Advancements on Customer Loyalty in Online Grocery Shopping: A Comprehensive Review

Investigating Consumer Perception and Consumer Attitude towards Online Purchase Intention: Applied on Online Grocery Shopping Applications

Investigating Consumer Perception and Consumer Attitude towards Online Purchase Intention: Applied on Online Grocery Shopping Applications

Reverse Logistics for Food and Beverages in Grocery Stores: Benefit the Customers and the Businesses

In the post-pandemic Covid-19 era, as more people start doing their physical grocery shopping, supply and demand in the retail industry will eventually need to keep up. A few of the challenges the grocery retail sector is currently facing globally include the perishability of food products, which requires special handling, demand and supply forecasting, maintaining continuous stock inventories, return management, and waste management. In today’s world, reverse logistics and speedy and effective food product movement along supply chain networks are both essential. Employing reverse logistics benefits business operations and unwittingly supports global government sustainability objectives, which in turn benefits the green supply chain. While reverse logistics techniques frequently concentrate on ways to profit from returned goods and lower their cost of loss, they unwittingly have an indirect negative influence on the environment. There are far too many wastes produced by the retail sector. Based on that supposition, the study’s major goal is to analyses the best strategies for using reverse logistics and managing waste issue in this industry, so that business operations can be successful, economical, and eventually deliver a high-quality product to the customer. To collect specific information and viewpoints from the targeted organization, a qualitative technique was adopted in this study. Through this study, the authors can provide suitable recommendation solution find ways to reduce the cost of transportation if possible and improve the logistics system as a whole. This is because reverse logistics in retailing industry plays an important role in sustaining the retail business for all the parties involved in the business and logistics. Companies that are practicing reverse logistics the right way are tend to improve their overall performance, for example, the increasing numbers of customers which is gaining competitive advantage from the competitors.

Investigating the Signaling Mechanism of Consumer Reviews Toward Online Grocery Shopping

Investigating the Signaling Mechanism of Consumer Reviews Toward Online Grocery Shopping

Older consumers’ views on online grocery shopping

The population is aging fast in many developed countries worldwide, which makes older consumers important to study. This study investigates older consumers’ (>55 years) views on online grocery shopping (OGS) by comparing them to younger consumers and by clustering them into different segments. The study is conducted as a survey with 1025 older Finnish consumers. The findings indicate a statistical difference between older and younger consumers’ views on OGS but also that the difference is not substantial. Three tentative clusters are also identified: the uninterested, the indecisive and the open-minded. The open-minded had clearly gained awareness about OGS and shopped online during the Covid-19 crisis. Some of them also intend to continue to shop groceries online in the future. Limitations and further research are also discussed.

GROCAFAST: Revolutionizing Grocery Shopping for Seamless Convenience and Enhanced User Experience

GROCAFAST: Revolutionizing Grocery Shopping for Seamless Convenience and Enhanced User Experience

Factors influencing consumers’ continuance intention in online grocery shopping: a cross-sectional study using application behavior reasoning theory

Factors influencing consumers’ continuance intention in online grocery shopping: a cross-sectional study using application behavior reasoning theory

Impulsive Behaviour of Customers in Large-Format Grocery Shops in Poland – a Case Study

The growing wealth of the Polish population noted in the recent years has led to a significant change in the behaviour of Poles as consumers. Increasingly often, the type and volume of purchases are dictated not only by real and objective reasons but also by impulse buying. In consequence, any retail outlet frequented by consumers to make purchases is no longer a place where thoroughly planned purchases are made, but a site where consumer needs are created by marketing activities. They are therefore a significant instrument of creating some influence on the consumer at the point of sale and multiplying the entrepreneur’s revenue, which is particularly important in large retail grocery shops, where an average Pole buys most groceries. The study showed that the most significant determinants of impulse buying are the age and sex of consumers. Young people display quite a high level of impulse consumption. Because of their age, they do not attach much importance to planning expenses, which frequently leads to irrational spending. Impulse purchases are more often made by women, who most often do grocery shopping. Women also spend more time in shops than men do. As a result, they are more exposed to merchandising activities carried out in retail outlets. It has been noticed that the atmosphere in a shop and the consumer’s mood while shopping have a significant impact on how much the consumer will buy. The amounts of products bought tend to increase when the consumer’s mood is extreme (very good / very bad). It was alsoobserved that a higher level of unplanned and impulse purchases is achieved by households with higher income, which in general allows them to buy more. The volume of unplanned and impulse purchases is distinctly higher in supermarkets and hypermarkets, which implicates much greater opportunities to use marketing strategies stimulating this type of purchases in such large shops than in small local shops.

UNVEILING CONSUMER SENTIMENTS: A STUDY ON FACTORS IMPACTING ONLINE GROCERY AVOIDANCE IN VIJAYAWADA

This research explores the intricate landscape of online grocery shopping, drawing insights from a sample of 100 respondents with diverse demographic characteristics. Through a Likert scale analysis, the study delves into the attitudes, preferences, and concerns that shape individuals' decisions to abstain from online grocery purchases. Findings reveal a nuanced landscape, with respondents expressing strong preferences for hands-on grocery selection and enjoyment of traditional shopping experiences. Trust issues with online vendors and apprehensions about privacy and security emerge as key considerations. The study uncovers the top five drivers of grocery shopping preferences and underscores the robust reliability of the Likert scale employed. In sum, this research contributes valuable insights for both academic research and practical decision-making in the realm of online grocery shopping. KEYWORDS: Online shopping, ecommerce, Factors, barriers, influencing, grocery, Vijayawada.

Factors Affecting Food-Related Activity Performance in Low-Income Older Adults

In an effort to reduce food access issues for older adults, the United States Department of Agriculture’s (USDA) Commodity Supplemental Food Program (CSFP) provides monthly food assistance specifically for low-income older adults through local food banks. The purpose of this study was to explore factors that influence an older adult’s performance in food-related activities. Older adults eligible to receive a monthly senior food box from community food distribution sites were recruited to complete a survey. The survey included home information, Patient-Reported Outcomes Measurement Information Systems (PROMIS®) v1.1 Global Health measure, individualized supplemental food utilization profile (FP), and a kitchen inventory. Descriptive and statistical analyses were performed. From December 2021 until March 2023, n = 200 participants were recruited and n = 36 took the survey for an 18% completion rate with a mean age of 71 years old; 61% were female and 36% were male. Of the participants who took the survey, 64% ( n = 23) acknowledged having at least one chronic disease and 89% ( n = 32) indicated they prepared meals for themselves. The OPMF revealed grocery shopping, cooking, and eating as “extremely important” and directly related to their performance and satisfaction. The FP rate revealed that 61% ( n = 22) of participants always use 100% of their food box by the end of each month. While the participants in this study report having at least one chronic disease, most are functional and independent when it comes to food-related activities, and most report that they have the tools to manage and use their food resources.

Grocery Store Management System

A Grocery store management system helps the Grocery shops to streamline all the store operations well and run the business without any hassle. With a POS software for a Grocery store, you can offer the best customer experience, increase your customer retention rates and attract more customers. You may use it to keep expenses in check, boost sales, and make customers happier. Optimal inventory levels, reduced costs, and continued competitiveness in the dynamic grocery retail market are all possible outcomes of an investment in an inventory management system. A Grocery software is a fast, reliable, and one-stop solution that facilitates easy and efficient operations by automating with the help of technology. The Grocery stores can manage all their store operations in a single software which includes Sales, Purchase, Inventory, Accounting, CRM, Loyalty, and many more. Thus, the basic functions, to manage a store, carried out are:1. Receiving of incoming consignments (goods) 2. Safe keeping of goods (Custody)3. Disposal of undesirable goods.4. Inventory Management.5. Housekeeping and record maintenance.

Feasibility and Acceptability of Home-Delivered Medically Tailored Meals for Treatment of Diabetes in Pregnancy

BackgroundDiabetes complicates ≤7% of pregnancies in the United States. Although medical nutrition therapy is the mainstay of diabetes treatment, many barriers exist to the successful implementation of dietary modifications. Home-delivered medically tailored meals (MTMs) are promising to overcome such barriers. ObjectiveThe objective of this study was to evaluate the feasibility and acceptability of home-delivered MTM in pregnant patients with diabetes. MethodsWe performed a prospective cohort study of home-delivered MTM for pregnant patients with diabetes using a mixed-methods approach. Participants <35 wk of gestation at the time of enrollment received weekly home delivery of diabetes-specific meals. Qualitative semistructured interviews were conducted to gain insight into participants’ experience. Diabetes self-efficacy was assessed pre- and postintervention using the Diabetes Self-Efficacy Scale and 2-Item Diabetes Distress Screening Scale. The difference in mean scores was compared using t-tests with P value of <0.05 considered significant. Feasibility and acceptability were evaluated through participants’ attitude toward MTM in qualitative interviews and indirectly evaluated through diabetes self-efficacy surveys. ResultsTwenty pregnant people with diabetes who received home-delivered MTM during pregnancy were interviewed postpartum. Participants found this program convenient for various reasons, including reduced time for grocery shopping and preparing meals. Participants were satisfied with meals, citing a positive impact on diabetes management, accessibility of healthy foods, reduced stress with meal planning, and greater perceived control of blood glucose. Most participants shared meals with their families or received specific meals for their dependents, which was positively received. Reduced financial and mental stress was also widely reported. Diabetes self-efficacy was significantly improved postintervention with MTM. ConclusionHome-delivered MTM is feasible and acceptable in pregnant patients with diabetes and may improve diabetes self-efficacy. Individual experiences offered insight into various barriers overcome by using this service. Home-delivered MTM may help ensure an accessible, healthy diet for pregnant patients with diabetes.

Unravelling the Threads of Customer Loyalty: Motives Shaping Supermarket Patronage in Sri Lanka

Over the past couple of decades, profound changes in the business context in Sri Lanka, including the presence of global brands, emergence of new retail business formats, dominance of the service sector, application of direct marketing, industry convergence, and deregulation, have significantly shaped customer behavior. Accordingly, the supermarket concept has sparked renewed interest among shoppers in the contemporary retailing context in Sri Lanka. This note mainly focuses on comprehending the behaviour of supermarket shoppers and evaluating the motives behind their level of loyalty in the context of supermarket patronage in Sri Lanka. Recent study findings reveal that three major factors, namely ‘product motive’, ‘services motive’ and ‘location motive’ have significantly contributed to enhancing supermarket patronage in the context of grocery shopping in Sri Lanka.

SUPPORTING OLDER ADULTS WHO LIVE ALONE: UNDERSTANDING THEIR UNMET NEEDS USING NHATS SURVEY DATA

Abstract Research suggests that older adults living alone in the community are at higher risk for poor health-related outcomes due to lack of cohabitants to support their health needs. Using National Health and Aging Trends Study (NHATS) data, we identified community-residing older adults (≥65 years) with assistance needs for Instrumental Activities of Daily Living (IADLs), Activities of Daily Living (ADLs), or mobility. We used bivariate analyses to compare the unmet needs related to IADL, ADL, and mobility tasks between those living alone and those living with others. Of the 3,458 individuals identified, 28.9% (n=1001) lived alone. Those living alone were more likely to be women, unpartnered, and lacking informal caregivers. There was no difference in perceived overall health scores between the groups. Individuals living alone experienced more mobility and IADL-related unmet needs. In the month prior to survey completion, those living alone were more likely to forgo getting out of bed (p=0.031), grocery shopping (p&amp;lt; 0.001), cooking (p&amp;lt; 0.001), and paying bills (p=0.025) due to lack of available assistance. Our findings suggest that older adults living alone may need higher levels of formal assistance with IADLs to remain living in the community. Given the key role IADLs play in promoting quality of life and a person’s ability to remain independent and engaged in the community, it is important to consider IADLs in addition to ADLs when assessing formal care needs for those living alone. Policy makers should prioritize the specific needs of those living alone when developing national aging strategies.

HAS THE RACIAL/ETHNIC DIGITAL DIVIDE AMONG OLDER COMMUNITY DWELLERS DEEPENED OR IMPROVED IN THE 2010S?

Abstract After the rapid societal and technological changes that occurred during the 2010s, it is unclear whether the racial/ethnic digital divide has deepened or improved. Guided by critical race theory, this study aims to examine trends of the racial/ethnic effect on the first- and second-level digital divide and how race/ethnicity interacts with gender and education. Data from three rounds (2011, 2015, and 2019) of the National Health and Ageing Trend Study were used in this study. Older community dwellers with normal cognition were included (2011: n = 5214; 2015: n = 5543; and 2019: n = 3242). The first-level digital divide was measured by Internet access. The second-level digital divide was measured by the usage of six online activities. Using weighted multiple logistic regressions, we found that race/ethnicity became not significantly associated with the first-level digital divide in 2019 but was consistently associated with the second-level divide. Neither gender nor education moderated the first-level digital divide association across the three years. For the second-level digital divide, education moderated the racial/ethnic digital divide on online grocery shopping and banking in 2011 and 2015 but not in 2019; by contrast, education’s moderation effects on buying prescriptions, contacting health providers, and getting health information online were significant in 2015 and 2019. No general trends were found for the moderation effect of gender on the second-level digital divide. Racial/ethnic gaps in the first-level but not the second-level digital divide were alleviated. More interventions should be provided for racial/ethnic minorities, especially those with low education.

RURAL-URBAN DIFFERENCES IN DIGITAL HEALTH USE OF MEDICARE BENEFICIARIES

Abstract Growing reliance on digital healthcare appears to marginalize rural older adults with limited technology access and experience. Existing research explores telehealth uptake of Medicare beneficiaries but does not consider the role of locality in digital health use (DHU). Using the 2021 National Health and Aging Trends Study data, this study compares rural-urban Medicare beneficiaries’ DHU (weighted N=18,729,829). Informed by the Senior Technology Acceptance Model, multiple linear regressions were performed on rural and urban models separately, including DHU, social determinant, and technology readiness variables. Participants in this study were predominantly White, female, and in their 70s. In the final model, men were more likely to use DHU than women in both rural-urban samples (β=.13, β=.08, p&amp;lt;.05, respectively). Tablet access was the only significant device for DHU among rural residents (β=.18, p&amp;lt;.05), while computer access (β=.12, p&amp;lt;.05) was the most significant among urban residents. Online grocery shopping was the most predictive prior technology experience of DHU for rural dwellers (β=.24, p&amp;lt;.05), while online banking led for urban dwellers (β=.21, p&amp;lt;.05). These unique differences between rural-urban samples can inform research on how to specifically design and implement digital interventions to increase rural older adult uptake. Healthcare workers can emphasize similarities between DHU and older adults’ prior technology experience to build perceived ease of use. Expanding opportunities for rural older adults to interact with technology in daily life builds experience which best predicts DHU. Policymakers should consider the impact of locality and involve aging community stakeholders to advance equitable DHU in the digital age.

Consumer adoption of online grocery shopping in South Africa

Consumer adoption of online grocery shopping in South Africa