Retail Stores Research Articles

Digitalisasi Toko Kelontong Melalui Program Ayo SRC dalam Perspektif Ekonomi Islam

This research aims to describe the management of the utilization of the Ayo SRC program application at SRC shops in Paciran sub-district as well as management and utilization from an Islamic Economics perspective. This research uses qualitative descriptive research with a case study type. Data collection was carried out using interviews, observation and documentation methods. To prove the validity of the data using triangulation. The data sources and analysis techniques used are data reduction steps, data presentation and drawing conclusions. The research results show that the management of the use of the Ayo SRC program application is in accordance with the management of retail store management, including the strategy for setting prices and store profits. The SRC shop is also digitizing so that it can keep up with current developments in various aspects. From an Islamic perspective, it is also in accordance with Islamic principles by not committing acts of maisir, gharar, dzalim, iktikar, usury. Meanwhile, the contract used in the MY AYO application uses a greeting contract, namely the buyer pays first and then the goods will be delivered by the seller to the consumers.

Purchasing behavior of green food: using health belief model norm activation theory

PurposeThe aim of this paper is to investigate the factors that influence consumers’ intentions to buy green food and develop conceptual framework that combines Health belief model (HBM) and Norm activation theory (NAT).Design/methodology/approachThe research used purposive sampling to collect primary responses from Indians and Lebanese in Ghana at restaurants and retail stores in Accra. Based on the NAT and HBM constructs, questionnaires were designed and distributed to 787 respondents. Data were analyzed using partial least squares and structural equation modeling to test the hypotheses developed through a literature review.FindingsThe findings showed that perceived benefit (PBN), perceived threat (PTT) and cue to action (CAT) are key factors that drive consumers’ intentions to purchase green food by Indians and Lebanese in Ghana. However, there are perceived barriers (PBB) that prevent individuals from buying green food, such as high prices, doubts about authorization and content, shortage of green food, inadequate selling techniques, supposed fulfillment and deficiencies. Therefore, more work is needed to address these barriers.Practical implicationsThis research can be used to create advertising messages that emphasize the health and wellbeing benefits of environmental impact on communities, and stimulate customer motivation to purchase green food.Originality/valueThis is a unique study that combines HBM and NAT to investigate the factors that influence consumers’ intentions to buy green food among Indians and Lebanese in Ghana and developed a conceptual framework to offer valuable insights for marketing practitioners to develop effective marketing strategies to induce buying intentions towards green foods. The construct of NAT has been found as useful moderators of pro-environmental behavior.

Is Information Risk Priced? New Evidence from Outer Space

Satellite images of the parking lots of U.S. retail firms provide information about the firms’ future earnings, and the limited access to these images produces information asymmetry between sophisticated and unsophisticated investors. We construct a cloud-based information risk (CIR) measure to capture this satellite information risk and investigate its asset pricing performance. We find that CIR positively predicts future stock returns of retail firms in the cross-section and that the predictability cannot be explained by weather reasons. We provide evidence that CIR indeed captures the information asymmetry among investors. The profitability of short selling is more pronounced on clear days. The return predictability of CIR is more pronounced in preannouncement periods. During cloudy days, parking lot traffic data from satellite images are harder to obtain, and the retail store sales estimated using parking lot data are noisier. We further show that high CIR is associated with low liquidity and that the decrease in liquidity purchases is greater than the decrease in liquidity sales. Our empirical analyses suggest that information asymmetry is priced and that CIR affects equity premiums through the liquidity channel, which are consistent with the theoretical predictions from a noisy rational expectations equilibrium model under imperfect competition. This paper was accepted by Kay Giesecke, finance. Funding: S. Wang acknowledges financial support from the National Natural Science Foundation of China [Grants 72373110 and 71902140] and Fundamental Research Funds for the Central Universities in China. Y. Wang acknowledges financial support from the National Natural Science Foundation of China [Grants 72342003 and 72071114]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.00713 .

‘A New Trend in Store Design’

In 1945 Pittsburgh Plate Glass Company released a portfolio of speculative designs for store fronts and retail interiors featuring glass. Titled There is a New Trend in Store Design, it was directed at designers and architects, and, through them, potential customers for their range of products. Pittsburgh Plate Glass Company was just one among many building material manufacturers competing for market share in the United States of America following World War II. This essay demonstrates how a set of unbuilt retail designs that were never intended to be constructed can illuminate prevailing trends of design and the socio-political, economic, and cultural contexts that informed their production. By examining drawings of unbuilt interiors, this essay establishes the types of contextual information that can be gleaned through an interpretive exploration of such works, including economic and social conditions, architectural and retail design trends, typical drawing modes and techniques, developments in building materials and practices, and approaches to advertising. Through an analysis of the historical circumstances that underpinned the portfolio’s production, it is established that unbuilt design drawings contain clues that foreshadow built designs to come, and by exploring these design ideas alongside the designers’ statements, a richer understanding of the subject of the designs, in this case, post-war retail premises, may be uncovered. This essay explores not only the use made of unbuilt interiors as marketing material but also the role of the glass and interior in the expression of Modernist ideas. Specifically, it reveals the importance of glass in the Modern retail interior, as it developed from being viewed solely as an enclosed internal space into becoming a critical part of the store’s ‘open front’, reconceptualising the fa.ade condition of architecture in the commercial context of urban retail spaces in post-war North America and marking this period as a turning point in design history.

Self-service technologies in retail stores: how phygital retailing creates customer value and drives choice confidence

PurposeThe purpose of this empirical study is to consider the interaction of self-service technologies (SSTs) with retail customers, exploring how retail customers perceive SST value and how this value affects their choice confidence when shopping.Design/methodology/approachWe carried out a large shopper survey in collaboration with six French mass retailers. Digital kiosks and interactive tablets were the focal SSTs. Partial least squares-path modelling (PLS-PM) was used to test our cost‒benefit conceptual framework and the corresponding research hypotheses. Furthermore, through multigroup comparison analysis, we tested the moderating effect of customers’ subjective knowledge of the product category.FindingsFunctional and interactive benefits/costs arising from SST usage determine customer perceived value. The key notion of perceived SST value implies that people make favourable cost‒benefit tradeoffs. Customer choice confidence is positively affected by perceived SST value. Customer product category knowledge plays a key role as a moderator of human–SST interactions in phygital retail settings.Originality/valueThis paper is concerned with the role of SST in creating phygital experiences and delivering value to retail customers. This is a first attempt at examining how perceived SST value affects customer choice confidence and what role customer product category knowledge plays.

Prevalence of suspected anemia in Japanese young children determined using non-invasive hemoglobin measurements: an observational study.

Recently, non-invasive hemoglobin measurement (SpHb) using Pulse CO-Oximeter Rad-67™ Spot-check (Rad-67) has been validated although anemia diagnosis typically relies on blood hemoglobin concentration measurement. In this large-scale survey of Japanese children aged 1-5 years, we evaluated SpHb distribution to understand the prevalence of suspected anemia, and further examined the relationship between SpHb and background factors. Children were recruited from large retail stores in Japan between November 2022 and August 2023. SpHb was measured by nutritionists or registered dietitians using Rad-67. 4133 participants were included and stratified by age and sex. The prevalence of children below the WHO threshold value for anemia was found to be 5.2% in total (ranging between 2.6-7.8% in subgroups). Mean SpHb values increased with age, and were higher in boys. Age and sex were independently related to SpHb. Overall, this study shows that approximately 3-8% of young children in Japan are suspected to be anemic.

Využívanie hotovostného a bezhotovostného platobného styku vo vybraných podnikoch maloobchodu v podtatranskom regióne

The present paper deals with the use of cash and non-cash payments in retail stores in a selected region around the High Tatras in the north of Slovakia. It presents own research partial results of payment preferences in selected individual retail outlets and selected retail stores not involved in an international chain. It was created with the intention of verifying the assumption of a disappearing need for cash. The obtained results are processed and presented for selected categories of retail outlets. The results show that most outlets are prepared to accept cash and non-cash payments from their customers, but some stores accept only cash. The role of cash varies by transaction type and consumer profile. The use of cash or electronic payment varies depending on the type of transaction and the profile of the seller and the consumer. We focus on retail stores preferences.

From Clicks to Bricks: Exploring Market Entry Strategies of Online Food Retailers in Germany

The retail sector in Germany is currently undergoing a transformation. Department stores that were once successful are now closing their branches at prominent locations, while omni-channel retailers that originated from online commerce are expanding their position in brick-and-mortar retail. Previous research has focused on examining which Online Pure Players (OPP) in Germany pursue the Adding Bricks to Clicks (ABtC) expansion strategy and the form of market entry they choose. The investigation showed a clear preference for operating their own retail stores. However, the investigation did not sufficiently consider the food sector, despite the boost in online food retail due to the COVID-19 pandemic. The investigation involved triangulating, merging, and analyzing existing studies and data sources through secondary data analysis. This contribution presents a pilot study that investigates and compares the food omnichannel retailers Ankerkraut, KERNenergie, and mymuesli. These retailers were mentioned in the evaluation of 37 qualitative, guideline-supported expert interviews and originate from online commerce. The examined food retailers offer a curated range of specialty and delicatessen products in the higher price segment, adhering to specific product-price policies. They operate their own stores to strengthen their retail brand and provide a tactile product experience. However, they limit the number of these stores to a handful of flagship locations due to the high costs associated with such an expansion. More effectively, they expand their offline reach through collaborations with established retailers. These partnerships capitalize on the existing brand recognition and market presence of the partners, driving significant growth and serving as a model for best practices in the ABtC food sector.

The Role of Elements in Visual Merchandising on Impulsive Buying in Retail Stores (Study on SW Market Stores in Bantul)

This study aims to examine the influence of elements in visual merchandising on impulsive buying behavior at a minimarket called SW Market. Visual merchandising, which includes store layout, product display, and employee interaction, is considered important in influencing impulsive buying. We collected data from 190 respondents who had recent shopping experiences at a minimarket using a survey approach and a Likert-scale questionnaire. The results show that a well-structured store layout facilitates consumer navigation, while attractive product displays increase visual appeal and the desire to buy impulsively. In addition, positive interactions with employees create a pleasant shopping atmosphere and encourage spontaneous purchasing decisions. This study also found that the combination of the three elements has a significant synergistic impact on impulsive buying behavior. These findings provide practical implications for retailers to optimize visual merchandising strategies to improve shopping and sales experiences. This study contributes to the literature on consumer behavior with a focus on the unique dynamics of minimarkets in Indonesia.

A community-based analysis of security practices regarding over-the-counter skincare products in nationwide retail drug stores.

Access to over-the-counter (OTC) skincare products is critical for managing a wide range of dermatologic conditions, yet recent trends in urban retail stores may jeopardize this accessibility and exacerbate healthcare disparities. However, the emerging trend of securing skincare products behind security glass in urban retail environments poses significant risks to healthcare equity and accessibility. Herein, we aim to quantify the prevalence of skincare products behind security glass in pharmacies within a 25-mile radius of Times Square, New York City. An observational, cross-sectional study was conducted, selecting 50 pharmacies from a total of 389 identified in the target radius. Digital photographs of skincare product aisles were taken, and the percentage of products secured behind glass was calculated for various categories and brands. The study found significant disparities in the availability of skincare products, with significantly higher percentages of products behind security glass in pharmacies located in urban areas compared to suburban regions. Among the four brands analyzed, Olay, L'Oréal, La Roche-Posay, and Vichy, there was no significant difference in the proportion of products behind security glass. Barriers to accessing skincare products, such as physical restrictions, time constraints, stigma, and privacy issues, may hinder individuals from obtaining necessary treatments, leading to potential delays in care and poorer health outcomes. Our study underscores the urgent need for dermatologists and healthcare policymakers to advocate for alternative security measures that do not compromise product accessibility. Facilitating easier access to OTC skincare products could dramatically improve treatment adherence and patient outcomes, particularly in urban settings where disparities are most pronounced.

Evaluation of damaged starch content in premium wheat flour using different methods

During the process of grinding grain into flour, some of the starch granules are mechanically destroyed. The proportion of destroyed starch in flour can vary significantly depending on the technology adopted at the enterprise and the operating characteristics of the equipment used, and has a significant impact on the properties of the kneaded dough and the quality of the product. The aim of the work is to study the relationship between the content of damaged starch in premium wheat flour and the ability to retain solvent using flour samples produced at industrial flour mills and in miniproduction conditions as an example. Objects of study: 13 samples of premium wheat flour purchased in retail stores in Voronezh, as well as on marketplaces: 11 samples were produced at high-performance flour mills (9 Russian and 2 Belarusian), and 2 samples were produced at Russian minienterprises. Research methods: The mass fraction of moisture was determined by the drying method, the content of damaged starch was determinedusing an SDmatic analyzer, and the solvent retention capacity (SRC) of flour was determined using an SRC-Chopin analyzer. The analysis of the entire set of experimental data presented in the article indicates the possibility of obtaining extensive complementary information on the baking qualities of premium wheat flour using the amperometric method for determining the content of damaged starch and the SRC test with a set of diagnostic solvents. Results: In the flour of large industrial producers in Russia and Belarus, the content of damaged starch was in the range of 20.4-27.9 UCD. In the samples produced in mini-production facilities, higher values of damaged starch were noted - 30.6 and 33.3 UCD and maximum values of water absorption. The gluten efficiency index (GPI) in the flour of large industrial producers was in the range of 0.69 ... 0.89. Conclusions: The obtained information can be used in bakeries, confectionery and pasta enterprises, which will allow choosing a supplier of flour that is most suitable for the production of high-quality products from different product segments (pan bread, flat bread (lavash), flat cakes, cookies, crackers, etc.). The question of the existence of a stable correlation between the characteristics of damaged starch in flour obtained using the amperometric method and the SRC test requires further study. Flour produced by large flour mills is characterized by less variability in quality indicators compared to mini-enterprises. The revealed differences in the studied flour samples in terms of damaged starch content and solvent retention capacity (SRC) can serve as a basis for further classification by areas of its us

Nutritional profiling of plant-based meat alternatives and ground beef.

The objective of this study was to characterize the nutritional profile of plant-based meat alternatives (PBMA) and ground beef (GB). Beyond Beef (BEY); Impossible Burger (IMP), a third available product of plant-based protein, including SWEET EARTH, Incogmeato, Open Nature, and Good & Gather (GEN); and two lean levels of GB (regular [80%-85% lean, regular ground beef] and Lean [>93% lean, lean ground beef, LGB]) were purchased from retail stores across the United States. Proximate composition, mineral content, fatty acid profile, amino acid profile, and B-vitamin content were measured in raw products. Generally, PBMA had increased ash content which coincided with increased mineral concentration compared to GB, namely sodium, calcium, and zinc (p <0.05). Similar trends were observed for B-vitamins. The fatty acid profile of IMP was primarily saturated due to lauric acid (12:0) and myristic acid (14:0) concentrations. Both BEY and GEN were highly unsaturated because of linoleic acid concentration (18:2n6). LGB possessed the greatest total amino acid concentration and total essential amino acid content (p <0.05). Phenylalanine was increased in PBMA compared to GB (p <0.05). Overall, these data show differences and similarities between the nutritional profile of PBMA and GB. However, the bioavailability of these nutrients and associated health outcomes, particularly in PBMA, require further investigation.

دوافع استخدام المستهلكين لتطبيقات متاجر التجزئة الإلكترونية المدعومة بتقنيات الذكاء الاصطناعي وانعكاسها على نيتهم الشرائية: دراسة مسحية على عينة من المستهلكين بدولة الإمارات

The proliferation of artificial intelligence (AI) technologies has revolutionized business. Simultaneously, marketers have benefited tremendously from this technology, which has enhanced digital marketing capacities. This is achieved by AI analyzing individual consumer data and purchasing behavior to target specific products that suit personal preferences, which improves online shopping experiences, increases opportunities to communicate and interact, as well as increases customer satisfaction and loyalty. Concurrently, these profound technological changes have also altered the shopping and purchasing habits of consumers. Therefore, the study explores consumer motives as it pertains to using online retail store applications supported by AI technologies and the impact on purchasing intentions. The study developed a model to monitor the relationship between a user and technology. The model specifically examined ease of use, perceived usefulness, and perceived enjoyment while using selected applications and the potential influence on purchase intention. The research was conducted in the United Arab Emirates and had a sample of three hundred and fifty Arab users. The research reveals correlation relating to ease of use, usefulness, and perceived enjoyment of using the technology as a positive influence onconsumer attitudes and purchasing intentions. Moreover, no statistically significant differences were found among demographic variables (e.g., gender, marital status, age, and educational level). Meanwhile, statistically significant differences were identified between among individual variables (e.g., nationality, income, and occupation).

Optimizing Customer Purchase Insights: Apriori Algorithm for Effective Product Bundle Recommendations

A retail store faces significant challenges in crafting effective sales strategies, particularly in designing promotional product bundles. To address this, the store leverages transaction data to analyze customer purchasing patterns, aiming to uncover products frequently bought together. This study employs data mining techniques, specifically the Apriori algorithm, to identify co-purchasing behaviors using 49,316 transaction records collected from January to June 2024. After thorough data cleaning and transformation, the Apriori algorithm identified 877 itemsets, spanning from frequent 1-itemsets to 4-itemsets. By setting a minimum support threshold of 0.003, the analysis narrowed down to 343 significant itemsets, including 325 frequent 1-itemsets and 18 frequent 2-itemsets, which served as the basis for generating association rules. Initially, 36 association rules were derived, highlighting various product relationships. To focus on impactful insights, the rules were filtered using a minimum confidence level of 0.5, yielding 3 highly relevant rules with lift ratios exceeding 1, indicating strong associations between antecedent and consequent products. These insights enable the store to design targeted promotional bundles, optimize product placement, and enhance overall sales performance. Additionally, this study demonstrates how data-driven strategies can provide a competitive edge by aligning with customer purchasing behaviors. To ensure continuous improvement, a Python-based system was developed, empowering the store to independently analyze transaction data and refine sales strategies in real time, adapting to evolving purchasing patterns as the dataset grows.

Navify: Smart Shopping Application

The Smart Shopping Application project aims to enhance the shopping experience in large retail stores by integrating indoor navigation and personalized assistance. It employs an Indoor Positioning System (IPS) using Bluetooth Low Energy (BLE) beacons/RFID for real-time shopper tracking and optimized pathfinding. This project bridges the gap between the convenience of e-commerce and traditional shopping, offering a seamless, efficient, and satisfying shopping experience for customers. The paper outlines the system's Architecture, implementation, and future scope.

Long term performance of Nature-Based Solutions as decentralized wastewater treatment: a case study of a retail store in southern Italy

The aim of this study is to evaluate the removal efficiency and the hydraulic behavior of the 10-year-old hybrid treatment wetland (TW) system treating effluents of the IKEA® store of Catania (Eastern Sicily, Italy), under Mediterranean semi-arid climate conditions. The system is placed downstream to the conventional wastewater (WW) treatment of the store, that includes a sequential batch reactor (SBR) followed by a horizontal subsurface treatment wetland (HF) unit and two vertical subsurface flow treatment wetlands (VF1 and VF2) units. The assessment of chemical, physical, and microbiological parameters in treated WW was carried out through regular monitoring activities, occurring approximately on a monthly basis, over a 8-year period spanning from 2016 to 2023. Up to 72 samples were collected for the following parameters measurements: total suspended solids (TSS), BOD5, COD, total phosphorus (TP), ammonia (as NH4), nitrate (as NO3-N), nitrite (as NO2-N), total nitrogen (TN) and E. coli. Hydraulic conductivity at saturation (Ks) measurements and tracer tests were conducted to evaluate the extent of clogging and to characterize the hydraulic behavior within the HF unit. Results obtained during the entire monitoring period show the following mean and standard errors (±) removal efficiency ranges (%): TN 21(±11)-80(±9); TSS 18(±42)-95(±3); COD 28(±23)-93(±2); BOD5 31(±10)-85(±44); TP 14(±6)-49(±19); NH4 50(±50)-95(±3); E. coli was abated with a mean range of 3.3(±0.2)-4.8(±0.4) Ulog reduction, reaching not detectable values in most samples analyzed since 2018. The efficacy of the treatment system is assessed in the context of both national and European regulatory frameworks governing effluent discharge and water reuse standards. Ks values and tracer test results agree in showing the progressive clogging of the HF unit influencing the hydraulic behavior of the unit giving useful on the management of TWs in Mediterranean area. Finally, the performance results also indicate that the overall treatment is not affected by the HF unit clogging.

A Systematic Review of Social Robots in Shopping Environments

Social robots, driven by cutting-edge technologies are designed to cater to various societal needs, facilitating complex human interactions involving multiple users and stakeholders. Their integration into daily life is anticipated to increase significantly. Within this context, the domain of shopping robots, which play a crucial role in enhancing and diversifying shopping experiences where human interaction is paramount, holds immense potential for development. This article aims to provide an overview of the current landscape of shopping robots and explore future research directions in this evolving field. Through this systematic review, key trends and insights in the field of shopping robots are identified, while also offering a categorization in the form of a 3D conceptual scheme, called the Public Space Robot (PSR) framework. The outcomes reveal significant developments over the past two decades (2002–2024), with the main concentration on developing and deploying mobile robots that offer functional or autonomous interaction for navigation assistance and customer service in shopping malls and retail stores.

Analisis Produk Terlaris Menggunakan Metode K-Means Clustering Pada “Toko Hartati”

This research aims to analyze the best-selling products at Toko Hartati using the K-Means Clustering method. K-Means Clustering is an unsupervised learning algorithm that is effective in grouping data based on certain similar characteristics. In this context, the data used includes the number of sales, product prices, and product categories. Through this analysis, it is hoped that insight can be gained regarding products that have the best sales performance, as well as sales patterns that can be used as a reference in stock management and marketing strategies. The data used in this research includes sales transactions during a certain period, with the aim of identifying product clusters based on sales patterns. The analysis results show the existence of two main product groups, where the first cluster contains products with high sales numbers, which can be classified as best-selling products, while the second cluster includes products with lower sales. These findings provide valuable information for the management of Toko Hartati in determining more targeted marketing strategies and more efficient stock management. This research suggests using the K-Means Clustering method in data-based decision making to improve sales performance in retail stores.

Beneath the colorness skies: Does weather influence consumer color preference?

Understanding consumer preference is crucial for optimizing inventory management and enhancing consumer satisfaction. While previous research has explored various determinants of consumer choices, the role of weather in shaping consumer color preference has received little attention. This study addresses this gap by investigating how key weather variables—temperature, relative humidity, and wind speed—affect consumer color preference in the fashion clothing market. Using data from 3,184,162 transactions across 99 physical fashion retail stores in Italy, we analyze consumer clothing purchases as indicators of color preference. Our findings reveal that higher temperatures and relative humidity lead consumers to prefer cooler clothing colors, while increased wind speed encourages the selection of warmer colors. Additionally, fashion trends play a moderating role in shaping the relationship between weather conditions and color preference. This research contributes to a deeper understanding of the weather's influence on consumer behavior and offers valuable insights for retailers, enabling them to better anticipate changes in consumer preference under different weather conditions and reduce supply-demand imbalances.

Linkage between empowerment, commitment and organizational citizenship behavior in Indian retail sector

Purpose The purpose of this paper is to determine the relationship between employee empowerment (structural empowerment [SE] and psychological empowerment [PE]), employee commitment (EC) and organizational citizenship behavior (OCB) within the unique context of a learning organization in the Indian retail sector. Design/methodology/approach The investigation was conducted using a survey-based questionnaire approach. Data were gathered from 222 frontline employees working in different retail stores in India. The researcher used AMOS 22.0 version and SPSS 22.0 version for the data analysis. Findings This study concluded that SE and PE have a positive and significant influence on OCB and EC. In addition, EC is a mediator between employee empowerment (SE and PE) and OCB. Research limitations/implications This research is built on cross-sectional data with a limited sample size, that is, 222 sample size. This study also offers some practical insights to managers of retail stores. Originality/value To the best of authors’ knowledge, this study is the first to empirically investigate the mediating role of EC between SE and OCB. By focusing on the interplay of these variables within a learning organization, this study sheds light on the mechanisms driving employee behavior and organizational dynamics in this rapidly evolving retail sector.