Traditional Grocery Research Articles

Online Grocery Shopping Intention after the COVID-19 Pandemic

Grocery shopping is a vital activity in people’s lives. During the Coronavirus 19 (COVID-19) pandemic, many consumers turned to online platforms to purchase food, resulting in a significant increase in online grocery shopping. Hence, this study aims to investigate the post COVID-19 online grocery shopping intentions in the USA using quantitative research conducted via online surveys on Amazon’s Mechanical Turk (MTurk). The sample of this study is composed of two hundred fifty-two (252) validated data collected for analysis. The majority of participants perceive online grocery shopping as a reassuring, useful, and convenient method for purchasing food. Merits of online grocery shopping include reduced impulse buying and a lower risk of injury compared to traditional grocery shopping. Suggestions regarding online grocery shopping from peers or other influential people do not directly impact participants’ future purchasing decision. Participants diligently review grocery items on website before making online purchases. The availability of a wide range of high-quality food products in online grocery stores encourages continued online shopping post-pandemic. It is anticipated that in the near future, online grocery stores may become the preferred choice for consumers to purchase their foods.

THE RELATIONSHIP AMONG STORE IMAGE, PERCEIVED PRICE, PERCEIVED VALUE AND CUSTOMER EXPERIENCE ON PURCHASE INTENTION (THE CASE OF TRADITIONAL RETAIL STORES, PHRANAKHON SI AYUTTHAYA PROVINCE, THAILAND)

As retail competition intensifies and technological advancements drive the growth of e-commerce, traditional grocery stores in Thailand face significant challenges. This study aims to understand consumers' purchasing intentions toward traditional grocery stores with the goal of extending their operational lifespan. The research explores the correlations between store image, customer experience, perceived price, perceived value, and purchase intention. The study distributed questionnaires to a sample of traditional grocery stores in Phra Nakhon Si Ayutthaya, collected 226 valid responses, and analyzed them using SPSS software for regression analyses. The study's results indicate those consumers' perceptions of store image, perceived price, customer experience, and perceived value have a positive influence on their purchase intentions towards traditional grocery stores. Additionally, perceived value acts as a partial mediator in the relationship between the aforementioned variables and purchase intention. This suggests that consumers assess traditional grocery stores comprehensively, taking into account various factors, both positive and negative, which ultimately indirectly affect their purchase intentions.

Leveraging Digital Marketing For Traditional Grocery Businesses

This study examines the implementation of digital marketing strategies in a traditional grocery distributor in Malang, Indonesia, operating with conventional methods. The research, conducted from June to September 2023, follows an action research methodology encompassing identification, design, implementation, and evaluation stages. The initial identification phase, through interviews and observations, highlighted the distributor's limited customer reach, necessitating a digital marketing approach for market expansion. The subsequent design phase involved creating tailored content for social media platforms like TikTok and Instagram, including product photos, videos, and storytelling in captions. The strategy implementation stage saw these plans executed, with significant content posted across platforms and the successful integration of an e-catalogue and Google Business for enhanced online visibility. The project evaluation revealed increased customer engagement on social media, indicating effective strategy implementation. However, challenges in quantitatively assessing direct sales impact due to the distributor's traditional operation model were noted. The study suggests that while immediate sales increases were not definitively measured, the strategy laid the groundwork for future growth and market expansion. The research highlights the importance of digital marketing for traditional businesses in adapting to the digital era and underscores the necessity of establishing clear KPIs for effective strategy evaluation..

Choice modeling of grocery shopping behavior: A Sri Lankan case study

Different retail forms play an integral part in the urban landscape in Sri Lankan cities shaping its spatial form. In planning new and different grocery retail forms, the main considerations are usually location, distance to population catchments and income levels. But distance-based descriptive methods are incapable of predicting the actual shopping behavior of grocery shoppers due to unrealistic assumptions that, for instance, shoppers will select the closest facility. Therefore, this study for the first time attempts to apply a behavioral model to determine the key drivers behind the store choice decision of grocery shoppers in a Sri Lankan city. A conceptual framework of individual choice behavior is adopted based on random utility theory and involves the application of a choice experiment. The analysis is based on a sample of 350 respondents representing households within the Piliyandala town area - a suburb of Colombo, Sri Lanka. The major findings are that, rather than distance being a primary influence on where people shop, attributes of retail destination such as quality of the products, price of the products and variety of goods available are more significant when maximizing utility. Thus, even though, supermarkets are typically perceived as the grocery retail form that maximizes utility, traditional grocery stores still continue to be a still popular icon of the retail landscape. This study, therefore, provides a study of how traditional grocery stores and modern supermarkets co-exist in suburbs of a major city in a developing country such as Sri Lanka. Further it broadens the understanding of grocery shopping behavior thereby facilitating the planning and design involved in commercial land uses related to grocery shopping. This is important given planners have been shown to be slow and conventional in responding to rapid changes in suburban form and function. Our findings can assist urban policy makers to reevaluate the retail policy framework in suburbs of Sri Lankan cities and therefore contribute to the facilitation of greater social and economic vibrancy in traditional economies.

Research on Industry Data Analytics on Processing Procedure of Named 3-4-8-2 Components Combination for the Application Identification in New Chain Convenience Store

With the rapid economic boom of Asian countries, the president of Country-A has made great efforts to reform in recent years. The prospect of economic development is promising, and business opportunities are emerging gradually, depicting a prosperous scene; accordingly, people’s livelihood consumption also has changed significantly. The original main point of consumption for urban and rural people was the old and traditional grocery store with poor sanitation, but due to the economic improvement, the quality of consumption has also improved, and convenience stores are gradually replacing grocery store. However, convenience store management involves performance, logistic, competition, and personnel costs. Both whether the store can create a net profit and evaluate and select a new store will be important keys that significantly influence business performance. Therefore, this study attempts to use the industry data analysis method for highlighting a concept of processing an experience procedure of named 3-4-8-2 components combination in two stages. First, in the data preprocessing stage, this research considers 22 condition attributes and two types of decision factors, that include net profit and new store selection, and use both techniques of attribute selection and data discretization through the analysis and prediction of data mining tools. Next, in the experiment execution stage, three well-known classifiers (Bayes net, logistic regression, and J48 decision tree) with past good performance and four models (without preprocessing, with attribute selection, with data discretization, and with attribute selection and data discretization) are used for eight different experiments through two data verification methods (percentage split and cross-validation). Conclusively, three key results are identified from empirical analysis: (1) It is found that the prediction accuracy of the J48 decision tree classifier is relatively high and stable among the three classifiers in this study; at the same time, the J48 decision tree can yield comprehensible knowledge-based rules to instruct interested parties. (2) The results of this study show that the important attributes for the net profit decision attribute include the store type, POS number, and cashier number, while the important attributes for the new store selection include the store type and cashier number. (3) There is a difference in the selection of important attributes. Furthermore, four key valuable contributions are addressed from the empirical results, including academic contributions, enterprise contributions, application contributions, and management contributions. It is expected that the direction of store layout expansion can be found and identified through this study, but there are still many risks hidden behind the considerable business opportunities that need to be carefully managed.

A Vanishing Food Infrastructure: The Closure of Food Outlets in Flint in a Pandemic Era

Most food access studies focus on large cities, examine traditional grocery stores, and only consider operational food outlets. This siloed approach exposes a gap in food access literature. Therefore, as a part of our assessment of Flint’s food landscape, we examined closed food outlets in the city and surrounding townships. We investigated the relationship between the racial composition of census tracts and the number and type of defunct food outlets identified. We used Data Axle to collect and verify data on open and closed food outlets between September 2020 and December 2021. We made a final verification of the food outlet closures in June 2022. We used ArcGIS 10.8.1 and SPSS Version 28 to map and analyze the data. We used negative binomial regression models to determine differences in the likelihood of having an additional closed food outlet in census tracts with low and high percentages of Black residents. We also investigated the relationship between a census tract’s median income and the likelihood of having an additional closed food outlet. There were 173 closed food outlets; 81 were in Flint, and 92 were in surrounding townships. The most frequently closed food outlets were restaurants; they accounted for 45.1% of the closures. The mean number of closed food venues in census tracts where less than 40% of the residents were Black was 1.5. The mean was similar in census tracts where 40% or more of the residents were Black; it was 1.6. This difference was not significant. However, the median income of a census tract was a significant predictor of the likelihood of having an additional closed food outlet. Every one-thousand-dollar increase in median income resulted in a 2% less likelihood of having an additional closed food outlet. The results of this study show that there is more to the food landscape of a city than its operational food outlets. Focusing exclusively on active food outlets does not accurately depict a city's food infrastructure.

Understanding Food Access in Flint: An Analysis of Racial and Socioeconomic Disparities

The primary objective of this study was to describe the food landscape of Flint, Michigan, and the surrounding townships. We investigated the relationship between the location of food outlets and the racial composition of census tracts. We collected data from multiple sources; however, Data Axle, a repository of information on the U.S. and Canadian businesses, was our primary data source. Data were collected and verified between September 2020 and December 2021. The final fact-checking was completed in June 2022. We used ArcGIS 10.8.1 and SPSS Version 28 to map and analyze the data. We conducted negative binomial regression analyses to identify the difference in the likelihood of finding food retailers in census tracts where the percentage of Black residents was low and those where the percentage of Blacks was high. The article examines 1,137 food retailers in the study area: 407 were in Flint, and the remainder in the surrounding townships. Restaurants—especially fast food and take-out establishments—dominated the food environment. In addition, small groceries and convenience stores proliferated in the grocery store category. The racial composition of the census tracts mattered. Census tracts in which more than 40% of the residents are Black have a mean of 7.6 food outlets. In comparison, census tracts in which 40% or less of the residents are Black have a mean of 11.3 food outlets; the difference is significant. Census tracts with a high percentage of Blacks also had significantly fewer restaurants. The results of this study show Flint’s food landscape to be more complex and robust than described in earlier studies. It underscores the point that researchers should not rely solely on documenting the presence of supermarkets or traditional grocery stores when addressing food insecurity and food access. In the case of Flint, such food outlets comprise only 2.2% of the food landscape. Focusing exclusively on these food retailers misses several important types of food venues that residents rely on to secure food. This siloed approach also ignores the resilience and ingenuity of residents to respond to limited access to traditional food retailers.

Geleneksel Perakendeci Bakkalların Rekabetçi Stratejileri: Değer Zinciri Analizi

Türkiye’de gıda perakende sektörünü oluşturan aktörler arasında bakkallar sayıca en büyük paya sahiptir Ancak zincir marketler yabancı perakendecilerin pazara girmesi ve özellikle de ulusal zincirlerin güç kazanmasıyla birlikte son yıllarda bakkallar için önemli bir tehdit unsuru haline gelmiştir. Perakende coğrafyası alanında geleneksel gıda perakendecilerinin modern zincirlere karşı izlediği direnme ve baş etme stratejileri genellikle dayanıklılık (resilience) perspektifinden incelenirken, bu çalışmada bakkalların rekabet stratejileri değer zinciri perspektifinden analiz edilmektedir. Bu doğrultuda bu çalışmanın amacı Eskişehir ölçeğinde bakkalların rekabetçi avantajlarını Porter’ın önerdiği değer zinciri analizi modeliyle ortaya koymaktır Bu hedef doğrultusunda Eskişehir'de bakkallar, yerel/bölgesel/ulusal/küresel market zincirleri ve firma dışı aktörler ile toplam 40 derinlemesine görüşme yapılmış ve elde edilen veriler nitel yöntemlerle analiz edilmiştir. Buna göre bakkalların, organize market zincirleri karşısında kullandığı rekabetçi stratejiler saptanmıştır. Elde edilen bulgulara göre organize market zincirlerinin yaygınlaşmasıyla bakkalların rollerinde bir değişim meydana gelmiştir. Bakkallar, değer yaratmak ve/veya artırmak için esas ve destekleyici faaliyetleri başta olmak üzere faaliyetlerinde yeni stratejiler uygulamak durumunda kalmıştır. Ancak bakkalların rekabetçiliklerini koruyabilmeleri için bu stratejiler yeterli olmamakta ve bu nedenle düzenleyici çerçevenin müdahalesi gerekmektedir. Sonuç olarak perakende mekanlarının analizi değer zinciri yaklaşımın ekonomik coğrafya için yeni bir perspektif sunduğunu göstermektedir.

Growth and survival of aerobic and Gram-negative bacteria on fresh spinach in a Chinese supply chain from harvest through distribution and refrigerated storage

Spinach is a highly perishable product that degrades over time, including due to bacteria contaminating the product prior to packaging, yet the dynamics of bacterial spoilage and factors that affect it are not well understood. Notably, while China is the top producer of spinach globally, there is limited available microbiological data in the literature for spinach supply chains in China. The overall goal of this foundational study was to establish a baseline understanding of bacterial population dynamics on spinach from harvest to 10 days postprocessing for a Chinese supply chain that includes distribution via traditional grocery (a local physical store) and eCommerce (an online store). To this end, organic spinach samples were collected at different stages in a Chinese supply chain by following the same 3 lots, starting at point-of-harvest through processing and distribution via a local grocery store and eCommerce. After distribution, the same 3 lots were stored at 4 °C with microbiological testing performed on multiple days up to day 10 postprocessing, simulating storage at the point-of-consumer. Results showed aerobic plate counts and total Gram-negative counts did not significantly differ across stages in the supply chain from harvest through processing. However, packaged spinach from the same processing facility and lots, exhibited different patterns in bacterial levels across 0 to 10 days postprocessing, depending on whether it was distributed via the local grocery store or eCommerce. Evaluation of bacterial populations performed on a subset of the packaged spinach samples indicated Gram-negative bacteria, in particular Pseudomonas, were predominant across all days of testing (days 0, 3, and 10 postprocessing), with populations differing at the genus level by day. Overall, this study improves our understanding of the dynamics of bacterial populations on spinach and provides baseline data needed for future studies.

PRODUCT CLUSTERING IN THE MSME BUSINESS OF GROCERY STORE

The business world is an exciting world to follow due to its dynamic and competitiveness. Sri Wahyuni Grocery is one of the MSMEs involved in buying and selling daily-basis needs. The business can manage an average of 115 transactions in a day, including various transactions for necessities. Most products purchased at this grocery shop are daily basic needs, such as sugar, tea, instant food, snacks, and fuel oil. It is known that from observations, some products are less desirable by buyers so they are not selling well and some products are selling well, so it is necessary to do a product grouping process to find out how to group these products. An analysis of existing data is needed to obtain information with the K-Means Clustering algorithm. This research aims to determine the pattern of transaction data owned by Traditional Grocery Store MSMEs and form a Clustering pattern of products offered by Traditional Grocery Store MSMEs. Through the data exploration process, this research will carry out a pattern search from transaction data and clustering patterns owned by Traditional Grocery Store MSMEs. Based on the findings from the research conducted, business actors will be able to develop various strategies to improve services to sales by relying on the use of various data mining algorithms. The research was conducted on Traditional Grocery Store MSMEs with transaction data for two months, and the research carried out data exploration to determine clustering patterns using the CRISP-DM method.

The role of retailers during brand scandals: insights from a case study

PurposeThe role of retailers in influencing consumer attitude during a brand scandal is quite complex, as retailers are in direct contact with both marketers and consumers. The purpose of the exploratory research is to propose a theoretical model to capture the influences retailers exercise on consumers during brand scandals.Design/methodology/approachA qualitative approach has been adopted in the study. The study employs the grounded theory approach on the data collected by conducting in-depth interviews with 25 retailers.FindingsFour contextual conditions and six behavioral antecedents of the retailer's role in the context of the brand scandal were identified. Then, the study finds that companies tend to follow two broad approaches during a brand scandal to address retailers' queries and apprehensions. On these bases, the study proposes a six-pronged typology to better understand retailers' role in shaping consumers' brand perception.Originality/valueExisting literature has not paid adequate attention to this aspect of retailers' role in influencing consumer choices during brand scandal. To the best of the authors' knowledge, there is no prior research which investigates the role and influence of retailers in shaping consumer attitude during brand scandals. It is important to underline that the current research advocates retailers' significant role during a performance-based brand scandal. Specifically, the authors explored a health-related defective scandal of a well-known food brand. In addition, the study focuses on traditional grocery retailers, which already have special relationships with their consumers. Based on retailer perspectives, the authors' contribution is also updating the discussion of branding theory in case of scandals. The identified variables and constructs may be used for empirical investigation on the role of retailers in shaping consumer attitudes toward the scandalized brand.

O30 Meeting the Shopper Online: Adapting Food Retail Programming During COVID-19

<h3>Objective</h3> To determine the effectiveness of adapting healthy food retail components for online delivery. <h3>Use of Theory or Research</h3> Small food retail stores that accept SNAP/EBT are important food sources for low-income Americans, especially in areas where traditional grocery stores are difficult to access. SNAP-Ed recognizes healthy food retail interventions as an approach to encourage healthy eating and support direct nutrition education. <h3>Target Audience</h3> Small food retail stores that accept SNAP/EBT in low-income census tracts were targeted. <h3>Program Description</h3> Shop Smart Tennessee is an 8-week small food retail program that uses taste testing, educational handouts, and in-store marketing to encourage healthy customer selections. In response to COVID-19, in-store program components were modified for the pilot to be delivered on social media. Food demonstration videos were developed to replace taste testings, and educational handouts were translated to social media posts. Educators posted videos and educational content to the partnering store's Facebook page or tagged the store in posts. <h3>Evaluation Methods</h3> To assess the effectiveness of online delivery methods we used participant surveys linked to food demonstration video posts, social media metrics, and nutrition educator feedback. <h3>Results</h3> Five stores participated in this pilot. Thirty-seven videos were posted to Facebook with 4,320 views and 863 engagements. Forty-three people completed online participant surveys, with 89% (n = 38) responding they would likely make the recipe at home. Nutrition educator feedback suggested store managers were supportive of online delivery and that it was an acceptable alternative to in-store programming. <h3>Conclusion</h3> This pilot demonstrated that components of food retail programming can be adapted for social media. This method was well received by participants, store managers and nutrition educators. It allowed us to reach store customers from a different angle and can be used to inform future food retail work involving social media. Upcoming projects should focus on assessing impact of social media content delivery coupled with in-store engagement efforts.

An optimisation approach for the e-grocery order picking and delivery problem

Traditional supermarket chains that are adopting an omni-channel approach must now carry out the order picking and delivery processes to serve online orders, previously done by the customer. The complexity of the logistics processes has increased, therefore modelling and optimising e-grocery operations becomes definitely important. Since there are few studies modelling order picking and delivery processes, we propose an approach that simultaneously optimises the decision variables of different functions which have traditionally been treated separately. In this study, we present a linear programming model for store-based e-fulfilment strategies with multiple picking locations. The proposed model optimises the allocation of online orders to stores, based on the e-fulfilment costs. As well as minimising the picking and delivery costs, the proposed approach consolidates workloads in order to avoid idle times and reduce the amount of resources required. A weighted sum method is applied to compute the solution, integrating parameters that represent different store features such as the product range, sales mode and physical store activities. The proposed model has been tested on one of the largest grocery sellers, showing that substantial savings can be achieved by reallocating orders to different stores, time windows and delivery vehicles. By focusing on optimising e-fulfilment resources, this approach serves as a guide for traditional grocery sellers to redesign their supply chains and to facilitate decision-making at a managerial level.

Food-related health risks due to accessibility barriers

Issues with access to fresh and healthy produce can have long-lasting impacts on health, especially food-related health outcomes such as obesity and diabetes. To address these health outcomes (at least partially), researchers have often discussed various solutions to ameliorate access issues to fresh and healthy produce in order to encourage residents to purchase and consume more nutritious foods. Access to healthy foods have been discussed in terms of traditional grocery stores availability, alternative fresh food venues such as farmers markets and farm stands, and federal programmes that provide support for food procurement for lower income families. Access by itself also refers to the physical ability of getting to these fresh food venues and research has also discussed the ownership of, and access to vehicles by households of varying economic abilities. In this paper, we suggest that apart from these initiatives, there needs to be a conscientious effort in understanding that public transit also plays a crucial role in accessibility, and added to that, the understanding of food needs and preferences of ethnically diverse populations is in order to be able to address the nutritional component and cultural acceptance of foods that are commonly sought by these populations. Awareness, availability, acceptance and accessibility need to be combined with affordability to help encourage residents to include fresh and healthy produce into their daily diets in order to combat common food-related health issues.

English

Grocery stores are businesses that require precise strategies to develop effectively. In order for a grocery business to run well, a good management concept is needed, namely customer orientation, coordinated business effort, goal orientation. Besides that, it is necessary to increase customer satisfaction and maintain customer loyalty. This development of loyalty has developed well in minimarkets that grow around grocery stores so that the development of grocery store loyalty requires attention and in-depth understanding. This research is a qualitative descriptive study. The results of this study are from 3 Kotler formulations that cause the creation of customer loyalty is still difficult to apply by grocery stores due to the low management of information which is the basis of the database due to the traditional grocery store management.

Consumption trends and the warehouse club retail format

PurposeSince emerging in 1983, warehouse club growth outpaced traditional grocery stores. Individual consumption in the U.S. grew concurrently. We investigate whether there is a connection between the emergence of the warehouse clubs and Americans' unparalleled consumption levels.FindingsUsing standard principles from microeconomics, we postulate that consumers' increasing acquisitiveness is sufficient to explain (a) why warehouse clubs have grown at a faster rate than the traditional retailers and (b) how the emergence of the warehouse club may have accelerated the growth in personal consumption.ConclusionWarehouse clubs may have contributed to the rapid growth of Americans' consumption rates.

THE QUALITY AND MANAGEMENT DEVELOPMENT FOR TRADITIONAL GROCERY STORES IN DUSIT DISTRICT, BANGKOK

The objectives of this research were: 1) to survey the level of consumers’ awareness on traditional grocery stores in Dusit District, Bangkok, based on location, service quality , risk, shopping enjoyment, value for money, shopping satisfaction and future shopping intention; 2) to survey the influences of factors including: location, service quality, risk, shopping enjoyment, value for money and shopping satisfaction on future shopping intention of the consumers of the traditional grocery stores in Dusit District, Bangkok. Quantitative and qualitative analyses are used in this research. The quantitative sample comprises of 400 consumers in Dusit District, Bangkok, to whom questionnaires were distributed. In-depth interviews were also conducted with five owners of traditional grocery stores in the same area. In analyzing data of this study, both multiple regression analysis and SPSS for windows were employed.&#x0D; According to the results of this research, it was found that consumers have moderate level of awareness on location, service quality, risk, shopping enjoyment, value for money, shopping satisfaction and future shopping intention. The factors including value for money, shopping enjoyment and the risk strongly influence on shopping satisfaction and the shopping satisfaction influences on the future shopping intention. This research also indicates that the factor on shopping enjoyment mostly stems from the consumers organize activities together at traditional grocery stores.

Consumption Trends and the Warehouse Club Retail Format

Is there is a connection between the emergence of the warehouse clubs and Americans’ unparalleled consumption levels? Since emerging in 1983, warehouse club growth has outpaced that of traditional grocery stores. Individual consumption in the US has grown concurrently. Using standard principles from microeconomics, we postulate that consumers’ increasing acquisitiveness is sufficient to explain (i) why warehouse clubs have grown at a faster rate than the traditional retailers; and (ii) how the emergence of the warehouse club may have accelerated the growth in personal consumption.

The Influence of Shopping Complexes/Malls on the South African Grocery SMEs in the Periphery

The traditional grocery small and medium enterprises (SMEs) in South Africa presently contend with the emerging trendy shopping complexes/malls that has gripped country recently. The leading retailers of fast-moving consumers goods (FMCGs) at the malls attracted customers due to discounted prices offered. This study aimed to establish the influence of these shopping complexes on grocery SMEs in the periphery in densely populated cities such as Johannesburg. The “Central Place Theory” underpinned the study and qualitative research methodology pursued. It emerged that the grocery SMEs at the mall periphery benefitted from regularly purchased discounted products for resale.

The location of retail stores and street centrality in Guangzhou, China

Transportation networks have a profound influence on the location of retail stores, but there has been little research on the relationship between the location of retail stores and street centrality in traditional commercial metropolises. Based on three indices, namely, closeness, betweenness, and straightness, in a multiple centrality assessment (MCA) model, we analyzed the location of various retail stores and street centrality in Guangzhou using points of interest (POI) and street network data. The results show that street centrality in Guangzhou has a large impact on the location of retail stores and that different store types have different centrality orientations: (1) The location of all retail stores correlates most highly with betweenness, followed by closeness and straightness. (2) Shopping malls favor street centrality most, followed by convenience stores, specialty stores, textile and clothing stores, supermarkets, building material stores, and traditional grocery stores. (3) Apart from traditional grocery stores, which are weakly correlated with street centrality, shopping malls and convenience stores value locations with better closeness, while the other retail store types tend to distribute in areas with better betweenness. Our findings can help guide urban planners in designing commercial activity zones and transportation networks.