Supermarket Research Articles

Changing the environment: Removing HFSS items in prominent areas of stores in Nottinghamshire

Abstract This study examines the change in exposure to high-fat, salt, or sugar products (HFSS) after the implementation of a policy restricting the placement of HFSS items in prime locations in England that came into legislation in October 2022. 132 observations were conducted in 2022 and 2023, using a food environment survey. Supermarkets (SM), chain convenience stores (CSS), and independent convenience stores (ICS) were observed in the highest and lowest socioeconomic districts (SED) in Nottinghamshire. Descriptive statistics were used to analyse changes in exposures in prime locations by product category, the policy’s inclusion criteria, the Food Standard Agency’s Nutrient Profile Score (NPS), and the Nova classification. Exposure defined as is the presence of a product at a prime location in stores. A decrease in exposure to restricted products in both SED in SM and CCS was observed. No notable changes were observed in the ICS due to their exemption from the policy. In all SM, the observed exposure to products restricted by the policy was reduced from 39% to 14%. The study found that the policy was successful in reducing exposure to high-sugar products such as biscuits and chocolate. NPS and NOVA showed that exposure rates were notably higher in less healthy and ultra-processed food (UPF) categories compared to the exposure to products restricted due to the policy’s exemption criteria. Exposure to alcohol products increased after the policy’s implementation, with a 20-percentage point increase in alcohol exposure in all SM checkout areas. The study suggests that the policy may have narrowed the differences in environments between the SEDs, highlighted by the findings in the ICS, whereby exposure to less healthy products was higher in the lower SED. The policy also created an opportunity for the alcohol industry to increase its exposure. Shortfalls in the policy’s design were identified through the use of the NPS and Nova classification system. Key messages • Despite the equitable outcomes in socioeconomic districts, loopholes in policy design allow the alcohol industry to exploit prime locations and undermine health objectives. • Policy success is evident in HFSS reduction; however, continued exposure to HFSS items exempt from the policy, and UPF products highlight policy design flaws that undermine health objectives.

Higher cost of gluten-free products compared to gluten-containing equivalents is mainly attributed to staple foods.

The high cost of gluten-free products (GFPs) is being discussed as a potential barrier to adherence to a gluten-free diet, rendering monitoring of their pricing an ongoing demand in a market subject to continuous fluctuations. The current study aimed to assess the current pricing status of GFPs in the Greek retail market, with a focus on differences between staple and non-staple foods. The retail price and packaging weight of all available GFPs and their gluten-containing (GCPs) counterparts of a GFP-shopping basket (formulated based on the results of a preceding online survey) were recorded by visiting one store of the five most popular reported supermarket chains. The food categories were grouped into staple (e.g. breads, pasta and flours) and non-staple (e.g. chips, sweets and sauces) foods. Adjusting for supermarket chain and product type, a quantile mixed regression model was applied to assess the extent to which median product price (per 100 g) differed between GFPs and GCPs. The unique products recorded were 1058 (of which 408 GFPs), with a total of 2165 retail price recordings. While the overall median price/100 g of GFPs was not found to be significantly different from that of GCPs, the median price of staple GFPs was estimated to be higher than staple GCPs (+€1.03 [95% CI: €0.93; €1.13] per 100 g), whilst that of non-staple GFPs was slightly lower (-€0.20 [95% CI: -€0.37; -€0.02] per 100 g). In conclusion, the persisting higher cost of staple GFPs suggests the need for ongoing financial support for people with coeliac disease.

Mediterranean Diet Adherence in Italian Children: How much do Demographic Factors and Socio-Economic Status Matter?

. This cross-sectional study aimed to evaluate the degree of children's adherence to the Mediterranean Diet (MD), to estimate the weekly cost of MD, and to assess the role of food cost and demographic/socio-economic factors as potential barriers to comply with a healthy dietary model. . Data collection was conducted through an online questionnaire sent to parents of children (6-11 years old) living in Italy. This survey allowed the collection of demographic/socio-economic information about the family and their dietary habits. Adherence to the MD in children was assessed through the KIDMED index. The weekly diet cost was calculated based on the food prices of two Italian supermarket chains. Descriptive statistics and inferential tests were run to evaluate the sample's characteristics and correlations between diet cost, socio-demographics, and adherence to MD. . Data highlighted that 31.5% of the children achieved high compliance with the MD, whereas 22.2% showed low adherence. The average diet cost increased significantly with the increasing level of adherence to the MD (Spearman's Rho = 0.322, p = 0.018). Moreover, results showed that a high parent educational level was positively associated with the KIDMED score (Spearman's Rho = 0.323, p = 0.017). No significant correlations were found between dietary cost and other characteristics such as economic status and house type. . Despite the small sample size, our results suggest that nutrition education interventions targeted at children and their parents/caregivers might favour more conscious dietary choices, which in turn will help reduce the differences in diet quality caused by the educational level gaps existing in families.

Comparing the nutritional value and prices of meat and milk substitutes with their animal-based benchmarks across six European countries

Since overconsumption of animal-sourced foods is directly linked to multiple environmental and health issues, a dietary shift is imperative. One approach to facilitate this change is the production of substitutes for animal-sourced foods based on plant-based or novel ingredients. However, to be a valid alternative, substitute products must match animal-sourced foods regarding their nutritional value while being price competitive. To understand where substitutes currently stand in that regard, this study presents a novel dataset containing the prices, main ingredients, and nutritional composition of almost 2600 substitute products as well as prices of approximately 7500 conventional products sold in major supermarket chains in France, Germany, Italy, the Netherlands, Spain, and the United Kingdom.Although comparative analyses (non-parametric two-sided Wilcoxon rank-sum tests at a 5 % significance level) of the results indicate that the meat substitutes generally contain a higher level of dietary fiber with lower saturated fats, these meat substitutes often also have lower protein quality and higher salt and sugar levels than the conventional products. On average, meat substitutes were found to be 24 to 115 % more expensive compared to conventional meat, except for the German samples where price parity has been reached. Among milk substitutes, only soy-based products have favorable macronutrient profiles. The average price premium charged for milk substitutes compared to cows’ milk is 35 to 58 %. In general, fortification rates of substitutes should be increased to ensure sufficient supplies of micronutrients, particularly among meat substitutes where fortification rates are below 20% except for the Netherlands. Following these results, certain individual products already provide high nutritional value at low costs. However, further improvements are required for substitutes to become a compelling alternative at each scale.

Fintech ‘frontiers’ and the platformed motorcycle: Emergent infrastructures of value creation in African cities

Concerned with financialized extraction, the exploitation of precarious workers and racialized violence, critical scholars call for greater attention to the coloniality of financial technology (fintech) expansion in Africa. In this article, we echo the utility in foregrounding coloniality, but argue that it should be read as one among multiple, specific, and entangled ways in which fintech is creating new forms of value in the context of Africa’s urbanization. To make this case, we focus on the nexus between platforms, motorcycle taxis and fintech. In three different African cities, we observe how fintech maps onto the impulses and desires of the private sector and the state alike to use fintech to enact various forms of value creation. In Nairobi, the motorcycle has become the testbed of assetization experiments that seek to create data-rich and less fuel-dependent economies; in Kigali, the state-led and platform-enabled standardization of motorcycle services intends to create fiscal, planning, and regulatory values; and in Cape Town, legacy supermarket chains enroll motorcycles and fintech offerings to algorithmically integrate urban economies of labor and retail. Tracing these processes illuminates the different rationalities, ingenuities, and technological entanglements that, beyond the endurance of coloniality, shape Africa’s fintech moment.

Pembuatan Website Pesantren sebagai Sarana Informasi dan Promosi Toko Swalayan Qismart

The creation of the website of MaQis Alhamidy 4 Islamic Boarding School aims to provide an effective means of information and promotion to support the Qismart self-service store managed by the pesantren. In today's digital era, the existence of a website is very important for organizations, including Islamic educational institutions such as Pondok Pesantren MaQis Alhamidy 4. This website is designed not only to convey information about pesantren activities and services, but also to promote the pesantren self-service which serves as one of the main sources of income. Website development is carried out through several stages, namely observation, identification, implementation, and evaluation. The KKN Inovasi Pesantren Group 02 team, consisting of 16 members, was directly involved in this process. In the observation stage, the team observed and recorded the phenomena that occurred in the pesantren. Problem identification was conducted through interviews with pesantren administrators to understand the needs and challenges faced, especially related to the self-service information and promotion system. The implementation stage involved information collection and assistance in using the website as an information medium. Evaluation was conducted to reflect on the process and results achieved. The results of this project show that the developed website successfully created an effective platform to introduce and promote Qismart Supermarket to the community. The website facilitates access to important information and strengthens the brandi.

Work and gendered dimensions of recognition in the retail sector in Chile: Analyzing the experience of female cashiers in large supermarkets

AbstractThis article presents the results of research exploring the dynamics of recognition in the interactive work of female cashiers in supermarket chains in Santiago, Chile. Based on three dimensions of recognition configured from gendered elements of interactive service work, cashiers' recognition experiences are analyzed, considering their socio‐biographical trajectories, their link with the companies, and the dynamics of the trade they establish in customer service labor. Findings show ambivalent recognition processes combining those instituted “from above” by the administration and those articulated “from below” by families, professional peers, and customers in daily interactions. Based on the results, the article discusses the challenges for a research agenda on recognition at work capable of considering the gendered dynamics of work in the service sector.

Supermarket-chain grocery delivery optimization through crowdshipping

Acknowledging the rising significance of online sales, the grocery business has embraced the challenge of fulfilling the consequently growing consumer expectations for the last-mile delivery efficiency. This paper investigates the grocery delivery optimisation for the supermarket chain based on the crowdshipping mechanism, which can be one of the viable strategies for establishing prompt and affordable delivery service for customers. Considering the deterministic optimisation setting, this study presents a characteristic routing model with crowdsourced couriers named supermarket-chain grocery delivery crowdshipping problem (SCGDCP), which is a variant of the pickup-and-delivery problem, and develops a corresponding mixed integer linear programming (MILP) model. The SCGDCP involves distinctive problem features including individual depots for couriers, multi-trip open routing, and dual time windows of courier operating and order arrival, which pose the computational challenge in problem solving. A bespoke solution procedure based on adaptive variable neighbourhood search (AVNS) strategy is thus designed for tackling the practical-size SCGDCP. The conducted numerical experiments demonstrate the computational efficiency of the proposed MILP model for the small-size instances with no more than 30 grocery orders and the superiority of the developed AVNS procedure for the Grubhub sampling test instances with up to 200 orders.

Understanding Gen Z shoppers' interaction with customer-service robots: a cognitive-affective-normative perspective

PurposeLarge supermarket chains are adopting customer-service robots to improve service delivery in physical stores. Successful deployment of these robots depends on shoppers' willingness to interact with them, requiring an understanding of influencing factors. This study, grounded in the Cognitive-Affective-Normative (CAN) theory, seeks to systematically explore the factors influencing Gen Z shoppers' willingness to interact with customer-service robots.Design/methodology/approachA hybrid approach combining Structural Equation Modeling (SEM) and Necessary Condition Analysis (NCA) was employed to analyze survey data collected from 945 Gen Zs in the Czech Republic.FindingsThe results from SEM highlight significant cognitive, normative, and affective factors that influence the intention of Gen Z shoppers to interact with a customer-service robot. Specifically, cognitive factors such as effort and performance expectancy, along with normative factors like subjective norms, emerged as critical determinants. Furthermore, affective factors such as technology anxiety and positive emotions significantly influence users' readiness to use customer-service robots for service requests. The study also underscores that positive emotions, effort expectancy, performance expectancy, and subjective norms are vital prerequisites for interacting with customer-service robots.Originality/valueThe originality of this work lies in its two significant contributions to the burgeoning field of SRs in retail literature. First, it extends the CAN theory to the context of SRs among Gen Z shoppers in Czechia, thereby enriching the existing literature on SRs in retail. Second, by employing a hybrid analytical approach, our research offers both empirical and methodological advancements, providing rigorous insights crucial for enhancing the understanding of the pivotal factors influencing shoppers' interactions with SRs in physical store environments.

Product Layout Analysis Based on Consumer Purchasing Patterns Using Apriori Algorithm

In every self-service store, it is certain to have a sales transaction data, where the data will continue to grow every day. But in self-service stores the data is only a record of sales at the store. Whereas transaction data can be used as information on how consumer purchasing patterns when shopping at the store, but not all supermarkets know this. So this research aims to find information on these purchasing patterns, where to do this research using the apriori algorithm which is part of the association technique which is also part of data mining, where in its application it will calculate the support value, confindence value and will be tested using the lift ratio. And after the calculation is carried out, optimization will be carried out using the high utility itemset mining variable which will calculate the highest profit value on the product, so that based on the calculation, the final result is obtained with a support value of 85%, a confidence value of 86%, a lift ratio test of 1.01 and the high utility gets the highest result of Rp. 567,000.

Cultivated plants and their wild relatives of Central Russia and the North Caucasus (results of a collecting mission of 2023)

In 2023, field explorations of cultivated plants and their wild relatives were carried out in the regions of the Volga Upland, the western part of the Caspian Lowland and the Stavropol Upland with the aim of further replenishing seed and herbarium collections of VIR.A total of 525 samples of CWR and cultivated plants were collected, including 200 are herbarium sheets, 323 seed samples of cultivated plants and CWR, and a couple of cuttings. The collected material encompasses 145 species, including 91 cultivars. Seeds of the cultivars were purchased at markets, in supermarket chains and from local residents. The following areas were examined in detail: the left bank of the Lower Volga (Peschany anabranch, Kigach anabranch, as well as the “Novaya Roshcha” protected area). In the Republic of Ingushetia the team collected samples of cherry plum, Caucasian pear, barberry, viburnum, Lonicera orientalis, sea buckthorn, raspberry, and Malus orientalis, which local residents use in their diet. Also, samples of spicy herbs such as savory, catnip, oregano, thyme, etc. were collected. Hops were sampled in the Tambov and Volgograd provinces, the Republics of Ingushetia, North Ossetia and Adygea, from abandoned household plots in Botanika village in Gulkevichi District (Krasnodar Territory). The exploration in vicinities of Derbent and of the wall of Naryn-Kala fortress in Derbent resulted in collecting a rare specimen of Secale sylvestre Host., which previously used to be a fairly common plant in the North Caucasus, but is very rare now. Vegetable crops were collected along the entire route of the collecting mission. It was not always possible to collect seeds, so a part of the material enriched the herbarium collection. The collected material reflects the use of a vast range of vegetable and spicy plant species by the local population.Collecting missions help to understand which species are of primary importance for the conservation of natural processes, biodiversity and the maintenance of local ecosystems. The genetic diversity of a region is a key object of research for geneticists and plant breeders. Landraces of vegetable, cereal and other crops may have unique properties, such as adaptation to local climate conditions or disease resistance. Work on the mobilization and conservation of the plant genetic diversity is the basis for modern breeding and genetic research.

Dennis supermarket chain customer loyalty study

Dennis supermarket chain customer loyalty study

Stormy sales: the influence of weather expectations on FMCG consumption

PurposeThis study aims to understand the impact of extreme weather events on fast-moving consumer goods (FMCG) consumption and to examine the role of anticipated product scarcity and FMCG types on such behavior.Design/methodology/approachThis paper conducted five studies, combining archival data analysis with behavioral experiments. The archival data included sales data from a supermarket chain and weather data from the National Weather Service. The experiments were designed to test the effect of extreme weather cues on consumption, the psychological mechanism behind this effect and moderators.FindingsThis research found that consumers’ anticipation of extreme weather events significantly increases their consumption of FMCGs. This research further discovered that these behaviors are driven by anticipated product scarcity and moderated by consumers’ altruisms and FMCG types.Research limitations/implicationsLimitations of the research include the reliance on reported sales data and self-reported measures, which could introduce biases. The authors also primarily focused on extreme weather events, leaving other types of disasters unexplored. Furthermore, cultural differences in disaster response might influence results, yet the studies do not fully address these nuances. Despite these limitations, the findings provide critical insights for FMCG retailers and policymakers, suggesting strategies for managing demand surges during disasters. Moreover, understanding consumer behavior under impending disasters could inform intervention strategies, potentially mitigating panic buying and helping ensure equitable resource distribution. Last, these findings encourage further exploration of environmental influences on consumer behavior.Practical implicationsThe findings have practical implications for products, brand managers and retailers in managing stock levels and product distribution during disasters. Furthermore, understanding the psychological mechanisms of these behaviors could inform policymakers’ designs of public interventions for equitable resource allocation during extreme weather events.Social implicationsThe research provides significant social implications by highlighting how extreme weather events impact FMCG consumption. This understanding can guide public policymakers in creating efficient disaster management plans. Specifically, anticipating surges in FMCG purchases can inform policies for maintaining price stability and preventing resource shortages, mitigating societal stress during crises. Moreover, these findings encourage public education around responsible purchasing during disasters, potentially reducing panic buying. By collaborating with FMCG manufacturers and retailers, governments can ensure a steady supply of essentials during extreme weather events. Thus, the research can play a crucial role in enhancing societal resilience in the face of impending disasters.Originality/valueTo the best of the authors’ knowledge, this is the first study to integrate the impact of extreme weather events on consumption behavior with the psychological theory of anticipated product scarcity. The unique focus on FMCGs offers a novel perspective on consumer behavior literature.

Associations between the neighbourhood food environment and food and drink purchasing in England during lockdown: A repeated cross-sectional analysis.

Evidence for the effect of neighbourhood food environment (NFE) exposures on diet in the UK is mixed, potentially due to exposure misclassification. This study used the first national COVID-19 lockdown in England as an opportunity to isolate the independent effects of the NFE exposure on food and drink purchasing, and assessed whether these varied by region. Transaction-level purchasing data for food and drink items for at-home (1,221 households) and out-of-home consumption (171 individuals) were available from the GB Kantar Fast Moving Consumer Goods Panel for London and the North of England. The study period included 23rd March to 10th May 2020 ('lockdown'), and the same period in 2019 for comparison. NFE exposures included food outlet density and proximity, and NFE composition within a 1 km network buffer around the home. Associations were estimated for both years separately, adjusted for individual and household characteristics, population density and area deprivation. Interaction terms between region and exposures were explored. There were no consistent patterns of association between NFE exposures and food and drink purchasing in either time period. In 2019, there was some evidence for a 1.4% decrease in energy purchased from ultra-processed foods for each additional 500 m in the distance to the nearest OOH outlet (IR 0.986, 95% CI 0.977 to 0.995, p = 0.020). In 2020, there was some evidence for a 1.8% reduction in total take-home energy for each additional chain supermarket per km2 in the neighbourhood (IR 0.982, 95% CI 0.969, 0.995, p = 0.045). Region-specific effects were observed in 2019 only. Findings suggest that the differences in exposure to the NFE may not explain differences in the patterns or healthiness of grocery purchasing. Observed pre-pandemic region-specific effects allude to the importance of geographical context when designing research and policy. Future research may assess associations for those who relied on their NFE during lockdown.

Isolation of Bacteria from Raw Milk Collected at Milk Super Markets in Tripoli City

Isolation of Bacteria from Raw Milk Collected at Milk Super Markets in Tripoli City

To study the Factors influencing Customer Store loyalty at More Super Market

To study the Factors influencing Customer Store loyalty at More Super Market

Infant and children's exposure to food additives: An assessment of a comprehensive packaged food database

This study aimed to analyze the exposure of Brazilian infants and children to food additives through a comprehensive packaged food labelling database. Data collection was conducted at a large retail chain supermarket store in 2020 collecting the food labelling information from 7828 packaged foods. In total, 1118 packaged foods targeted at infants and children divided in 39 food groups were analyzed to investigate the presence, number, type and functional class of food additives declared in the ingredient list. Of these, 86 % declared at least one type of food additive. The average number of food additives in a single food was 4, with a maximum of 20 additives. In 17 food groups, there were no additive-free options. The most common additive functional classes were flavorings (70.7 %), emulsifiers (43.6 %), and color agents (33.8 %). These same functional classes most frequently co-occurred with other classes. These results suggest an important exposure of Brazilian children to food additives, and the situation is little analyzed in other countries. Therefore, it is urgent to identify this issue around the world, as well that food regulatory agencies should consider more restrictive regulations on the use of additives in packaged foods targeted at infants and children.

Unveiling promotion-induced variety-seeking: the roles of various types of promotional rewards and shopping motivations

PurposeThe study aimed to explore the differential impact of various types of sales promotion on consumers' variety-seeking behaviour and the roles of utilitarian and hedonic shopping motivations in promotion-induced variety-seeking. The study further assessed the moderation impact of risk-taking tendencies and deal proneness in the promotion-induced variety-seeking buying episodes.Design/methodology/approachBased on the temporality of gratification of promotional rewards (immediate/delayed) and the type of promotional rewards (monetary/non-monetary), we classified consumer sales promotions into four types (MI: Monetary/Immediate; NMI: Non-monetary/Immediate; MD: Monetary/Delayed and NMD: Non-monetary/Delayed). We conducted survey research across four major metro cities in India. We collected data from the buyers of two supermarket chains in four major metro cities of India and analyzed the data using SEM techniques.FindingsThe study’s findings revealed that only MI and NMI sales promotions lead to variety-seeking buying, whereas MD and NMD do not influence variety-seeking. The study further revealed that MI, NMI and NMD influence hedonic shopping motivations and play a role in variety-seeking buying episodes. NMD does not influence utilitarian shopping motivation or play a role in inducing variety-seeking buying behaviour.Originality/valueThe study is one of the very few studies that explored the differential impact of various types of sales promotions on variety-seeking buying behaviour. The study’s findings enable the retailer to devise promotional strategies to induce variety-seeking among the shoppers. Further, the findings of the instrumentality of CSP in inducing HSM may help the retailer create a promotional environment and induce the shopper (in a good mood) to buy more, thus improving store performance.

Studying Health and Illness Experience using Linked Data (SHIELD): Empowering customers to donate shopping data for chronic pain research

Introduction & BackgroundChronic pain is considered a priority in healthcare and a threat to well-being across the globe, it is thus crucial to accurately measure the national levels of pain conditions and their impacts on workplace productivity and well-being. Chronic pain has traditionally been studied in isolation with either self-reported survey data or standalone shopping records. The former are limited in scale and can be marred by response biases, while the latter lack ‘ground truths’: what research teams can measure are usually the purchase patterns of pain relief products, but neither the severity nor types of pain conditions. Objectives & ApproachData donation tools offer a novel approach to study chronic pain by linking the two aspects and establish statistical relationships between medicine consumptions and the multiple facets of pain experience. In a survey, we asked participants (N = 953) to share their loyalty card data with us, which is made possible with the data portability tool provided by Tesco (i.e., the largest supermarket chain in the United Kingdom) as part of the General Data Protection Regulation (GDPR). Based on questions adopted from popular inventories used in health research (e.g., EQ5D Health States, ONS4 Well-being, WEMWBS scales), we also asked participants to report the details of their pain conditions, hours of employment, and both general and mental health states. This allowed us to associate chronic pain - both subjective and objective (i.e., reflected by medicine consumption) - with its economic and personal consequences. Data collection was conducted via research panel providers, thus should approximate national representativeness. Relevance to Digital FootprintsThis work links digital footprints data donated by individuals to self-reported survey data, also develops an infrastructure for these data to be collected and safely stored. Conclusions & ImplicationsOne key value of this project is to pioneer a measure of chronic pain that can be applied to transactional records that are much bigger in scale in future analytic works. Our research team has access to an array of different digital footprints data, including longitudinal transactional data provided by a major pharmacy chain (~20 million customers and ~429 million baskets). In order to utilise these data to associate them with regional workplace productivity measures and well-being data released by the Office for National Statistics, a metric must be defined to extract the prevalence of chronic pain from shopping data, which is informed by the patterns found by the data donation project.

Allocation of the household food budget among shopping basket items: How is it influenced by promotions?

Retailers have been using promotion as a differentiation strategy that influences consumers' expenditures and their shopping basket budgetary allocation. This study assessed the effect of retail promotions on total shopping basket expenditure and determined whether promotions provoke a reallocation of the shopping budget. The analysis was performed on a chain of supermarkets in Catalonia, Spain using a consumer scanner data set from Kantar Worldpanel for 2017. The methodological approach had two steps: prediction of the effect of promotion on household expenditures using an expenditure regression model and estimation of the promotion own- and cross-effect using the censored Exact Affine Stone Index. Promotion had a positive own-effect and mostly a negative asymmetric cross-effect, implying a small but significant budget reallocation.