Store Shelves Research Articles

Эргонимический миф Гермеса: к исследованиям религиозной жизни юридических лиц

The article is devoted to the latest forms of manifestation of religiosity in the city space. The study focuses on studying the micro-levels of religious life in urban ergonymy. By examining store signs, navigation maps, and goods on the shelves of chain stores using the names of the gods of Ancient Greece, the article sets the task of reconstructing a non-verbalized mythological narrative composed by ergonyms and product names. The religious life of urban space is understood as the practices of piety characteristic of ancient Greek religiosity: invocation and dedication. The specific mechanisms of cultural reproduction in Ancient Greece and Europe of the 21st century are reconstructed. Based on the distinction made, the myth-socializing function of modern education in the process of broadcasting the mythological narrative and reinterpreting the Olympic myth is described. The article refers to data on the religious life of legal entities. Based on an analysis of the frequency of mentioning the names of the Olympic gods in the unified register of legal entities, and a comparison of the names of the gods with the declared forms of economic activity, the Olympic myth of the 21st century — the “Ergonymic Myth of Hermes” — is reconstructed. The article assumes scaling up the research to the study of “chorographies” — materially embodied spaces of the sacred on the streets of modern cities. The study of chorographies is proposed as a new methodology for studying culture and human coexistence.

Sistem Informasi Penjualan dan Stok dilengkapi dengan Mapping Rak pada Toserba

In the digital era, the advancement of information technology is crucial for enhancing operational efficiency in retail businesses. This study aims to design and develop a sales and inventory information system with a shelf mapping feature for Toserba Decky, which faces challenges in managing stock and manual transactions. The methodology employed is the Waterfall approach, encompassing requirements analysis, design, implementation, and system testing. Data was collected through direct observation, literature review, and analysis of the store's shelf layout. The findings indicate that the developed system can improve data accuracy, reduce recording errors, and expedite product searching. The implications of this research suggest that an effective information system in managing transactions and inventory can enhance operational efficiency and customer satisfaction. This study recommends regular system updates and technical support to ensure optimal system performance and security.

Pandemic‐led brand switch: Consumer stickiness for private‐label brands

AbstractThe onset of COVID‐19 resulted in unprecedented shopping behavior, leading to product scarcity and empty store shelves, making consumers shift towards purchasing private‐label store brands. In this research, we aim to understand the role of the pandemic in influencing the preference for private‐label products. Using secondary data, we offer longitudinal evidence that although national and private‐label brand sales increased equally during the peak pandemic period, the growth rate for national brands subsided in the post‐pandemic years, but that of private‐label brands sustained its upward trend. Further, using experimental design, we test this phenomenon and find that greater availability of private‐label brands during the pandemic resulted in higher perceived brand‐helpfulness, which evoked brand attachment and persuaded the customers to continue repurchasing. Our research thus contributes by providing unique insights that can help brands strategize effectively and ensure continued brand attachment in the post‐pandemic period, and additionally, help brands retain customers and foster loyalty during crises.

Mommy Needs Her Chardonnay in a Sippy Cup: How Mothers Make Sense of “Wine Mom” Messages and Their Effects on Mothering

“Wine Mom” culture has recently been popularized through social media, entertainment, and household products. Although numerous popular editorials and blogs scrutinize the behaviors associated with wine mom culture, little academic research has systemically investigated the topic. Thus, the current study uses semi-structured interviews (N = 22) and a phronetic iterative approach to explore how cis-gendered mothers—the targeted population of these messages—make sense of sarcastic “wine mom” messages, which can potentially trivialize or glamourize alcohol use and misuse. Sensemaking theory broadly informs how mothers interpret and are influenced by the wine mom messages (WMM) they see on artifacts scattered throughout store shelves or in people’s homes—such as signs, dish towels, or clothing. We build a taxonomy outlining the range with which cis-gendered mothers interpret WMM and explore their accounts and rationalizations of how WMM messages have effects on the social, psychological, and physical health of mothers.

Cheers! Examining Message Congruency Effects for No/low-Alcohol Beer

ABSTRACT Given consumers desire to prioritize their physical health, there has been a marked growth in the alcohol beverage industry toward the production of no and low-alcohol beer (NLAB). While NLAB offerings have attracted a lot of attention on the store shelves, little academic research has been given to exploring consumer perceptions of appeals used in product messaging. Utilizing a between-subjects experimental design, results from 287 participants suggest that congruent advertising appeals can play a meaningful role in influencing certain consumer response behavior to NLAB products. Specifically, consumers exposed to messaging that is congruent with their value-expressive or social adjustive attributes of self-concept had higher NLAB purchase/trial intentions. Practical implications for beverage manufacturers and directions for future research are provided.

Datasets and methods of product recognition on grocery shelf images using computer vision and machine learning approaches: An exhaustive literature review

A product recognition system recognizes all products on the shelf images and determines their positions. A business equipped with an automatic product recognition system has a convenient follow-up of many human-powered activities while increasing customer satisfaction. That is, product recognition stands out with its benefits such as tracking shelf layouts and stocking their status, and improving the shopping experience for customers, especially the visually impaired ones. However, product recognition is a challenging problem of computer vision in terms of the difficulty of obtaining and updating datasets and the breadth of the product scale. On the other hand, the number of studies on product recognition is constantly increasing by using various computer vision and machine learning methods, and effective solutions are offered to this problem. This paper provide a comprehensive review in the field of researches of product recognition on grocery store shelves. In this article, data sets and approaches used in the literature for the development of an automatic product recognition system are examined and compared, and their benefits and limitations are commented. Finally, a guideline is provided for future researchers and new perspectives for future studies are presented.

Automatic Identification of on Shelf Stock Availability in Retail Shops Using GCN

In retail industry ensuring on shelf availability is crucial for customer satisfaction. This project introduces an innovative solution for automated on shelf stock monitoring by Graph Convolution Network (GCN) fundamental algorithm as framework. This particular system will combine computer vision techniques to capture real time shelf images and employees GCN to process the visual data efficiently. Through graph based representation of store shelves and products, the GCN algorithm will analyze the items and their availability status. This project includes in data collection, image preprocessing, object detection. The application of GCN is used to construct a dynamic graph that capture items. This algorithm’s ability to model complex dependencies within the shelf inventory facilitates accurate stock availability. Alerts are generated when low stock or out of stock situations are detected. Keywords—super pixel graph ,Graph convolutional network ,SVM , shelf image and notification alert

Product categorization of Korean rice wine (makgeolli) compared to beer and wine using sensory evaluation methods

AbstractThis study aims to investigate the product categorization and characterization of makgeolli (Korean rice wine [KRW]) among beer and wine samples. Projective mapping with ultra‐flash profiling (PM with UFP) (n = 68) was conducted with 12 alcoholic beverage samples, including wines, beers, and makgeolli, and showed that participants characterized wine based on fruitiness, beer on bitterness, and makgeolli on sourness. s showed that PM with UFP had a combined explained variance of 47.4% with beer, wine, and makgeolli grouped separately. However, when participants were separated based on wine knowledge, low wine knowledge participants placed Shiraz close to makgeolli indicating participants were using a different metric in grouping the alcoholic beverage samples. When participants were tasked with using polarized sensory positioning (n = 91) to characterize makgeolli and wines, participants regardless of wine knowledge showed that wine and makgeolli had unique sensory traits and thus should be categorized differently.Practical ApplicationsResearch on KRW (makgeolli) is relatively limited in Western societies and this study attempts to understand how participants categorize makgeolli in New Zealand among different alcoholic beverages using projective and characterizing methods. Based on the categorization theory, it is important to position the product properly in the food and beverage categories as consumers may use the category cues to evaluate makgeolli and use products such as beer or wine within the same category as price anchors for makgeolli's price in the market. The results showed that participants categorize makgeolli differently compared to wine and beer; therefore, it would be beneficial to position makgeolli separately. Practical applications may include creating a separate section on a restaurant beverage menu, a webpage on an alcoholic beverage seller's website, or a small sub‐section on the retail store shelf. Placing makgeolli in the wine section as previously suggested is not recommended.

Health effects of energy drinks, facts and myths - literature review

Energy drinks are carbonated or non-carbonated beverages containing stimulants designed to improve energy and concentration. These drinks are gaining popularity, specifically among teenagers and young adults. However, despite their easy availability on store shelves, there is growing concern about the safety and health effects of consuming energy drinks in particular. Energy drinks appear to have the greatest impact on the cardiovascular system, leading to increased blood pressure and increased heart rate, and on the mental state of consumers, in the long term causing increased levels of anxiety. The paper also addresses the effects of energy drinks on the nervous and gastrointestinal systems. Despite many studies, the health effects of energy drinks have still not been fully investigated, so there is a need for further research on the subject and for age-appropriate regulation of consumers and their education.

Анализ конкуренции и уровня доминирования на рынке растительного молока в Российской Федерации

On the shelves of grocery stores, customers may increasingly notice the appearance of various brands of animal milk substitutes. This is due to the fact that society is becoming more aware of the contraindications to the use of milk of animal origin, which are expressed in some cases in intolerance to lactose and/or milk casein by the human body. Currently, the Russian alternative milk market lags behind the global one, and the active development of domestic production of these products is just beginning. This article presents the results of the analysis of the Russian alternative milk market based on data collected by the Nielsen analytical company from the largest retail chains, including X5 Group, Magnit, Lenta, Red and White and others. The SV (strength/variety) matrix was used as the main tool to assess the level of dominance in the industry. Concentration indices, Lind indices and the modified Hall-Tideman coefficient were calculated and used to construct the matrix. The analysis of individual quadrants of the SV matrix showed that the Russian alternative milk market from 2019 to 2022 in each of the studied years was located in the G quadrant, which indicated a high concentration of the market, where four super-alpha companies stand out: “Sady Pridonya”, “Danone”, “Thai Agri Food Public Company”, “Soyuzpishchprom”.

Optimal analysis of a multi-server queue with preprocessing time and replenishment inventory

ABSTRACT Recently, e-commerce has had the advantage of lower rental expenses. Convenient online payment has rapidly grown and provides a great business opportunity for enterprises. Inventory management plays a critical role in the competitiveness of most electronic business enterprises. Before the products hit the store shelves or are available online to customers, the quantity and quality of the products should be confirmed and inspected. Thus, in addition to the replenishment lead time, the preprocessing time has essential effects on inventory management. To reduce the inventory cost and determine a proper replenishment policy, we propose a multi-server inventory queue with a preprocessing time, which is seldom mentioned by the existing studies. The steady-state probabilities, system stability conditions, and expressions of several critical system characteristics are derived. Subsequently, the operating cost function is developed to determine the optimal reorder point and an appropriate number of servers with the minimum cost. The established numerical results and sensitivity analysis help managers identify critical variables and enhance operational efficiency.

Destroying the Ordinary for the Extraordinary

Product designers are trained to extend control over the objects they design: control of form, of their use-scenario, their production and hopefully their ecological demise as well. In a market-driven world, designers are often called upon to design extraordinary objects, objects that will stand out against competition, that will draw attention to themselves and their owners and carve out a spot for themselves on a store shelf or in contemporary culture. There are many ways to go about designing the extraordinary: upgrading materials, creating surprising new forms, inventiveness in usability, and so on. At the very extreme edge of tactics that can be employed here, counterintuitively, is that of destroying something in order to give it value.

Customer Shopping Behavior Analysis Using RFID and Machine Learning Models

Analyzing customer shopping habits in physical stores is crucial for enhancing the retailer–customer relationship and increasing business revenue. However, it can be challenging to gather data on customer browsing activities in physical stores as compared to online stores. This study suggests using RFID technology on store shelves and machine learning models to analyze customer browsing activity in retail stores. The study uses RFID tags to track product movement and collects data on customer behavior using receive signal strength (RSS) of the tags. The time-domain features were then extracted from RSS data and machine learning models were utilized to classify different customer shopping activities. We proposed integration of iForest Outlier Detection, ADASYN data balancing and Multilayer Perceptron (MLP). The results indicate that the proposed model performed better than other supervised learning models, with improvements of up to 97.778% in accuracy, 98.008% in precision, 98.333% in specificity, 98.333% in recall, and 97.750% in the f1-score. Finally, we showcased the integration of this trained model into a web-based application. This result can assist managers in understanding customer preferences and aid in product placement, promotions, and customer recommendations.

Ingredients in Commercially Available Mouthwashes

Mouthwashes, a cornerstone of oral and dental hygiene, play a pivotal role in combating the formation of dental plaque, a leading cause of periodontal disease and dental caries. This study aimed to review the composition of mouthwashes found on retail shelves in Turkey and evaluate their prevalence and side effects, if any. The mouthwashes examined were sourced from the 5 largest chain stores in each district of Istanbul. A comprehensive list of the constituents was meticulously recorded. The research was supported by an extensive compilation of references from scholarly databases such as Google Scholar, PubMed, and ScienceDirect. Through rigorous analysis, the relative proportions of mouthwash ingredients and components were determined. A total of 45 distinctive variations of mouthwashes, representing 17 prominent brands, were identified. Amongst the 116 ingredients discovered, 70 were evaluated for potential adverse effects and undesirable side effects. The aroma of the mouthwash (n = 45; 100%), as welll as their sodium fluoride (n = 28; 62.22%), sodium saccharin (n = 29; 64.44%), sorbitol (n = 21; 46.6%), and propylene glycol (n = 28; 62.22%) content were the main undesireable features. The limited array of mouthwashes found on store shelves poses a concern for both oral and public health. Furthermore, the intricate composition of these products, consisting of numerous ingredients with the potential for adverse effects, warrants serious attention. Both clinicians and patients should acknowledge the importance and unwarranted side effects of the compnents of the mouthwashes.

Exploring consumer perception of entomophagy by applying the Rasch model: data from an online survey

Abstract An online consumer survey, consisting of 23 closed questions divided into 9 sections, was conducted to investigate consumer perception of including edible insects in their diet. The data analysis was carried out using a variation of the classic Rasch-Andrich model for multiple choice questions. The online survey involved individuals (n = 327) from Italy and other 29 different European and non-European countries, with different ages, educational background and eating habits, selected from among people attending the University of Perugia. The analysis showed that the majority of participants (90%) were already aware of the term entomophagy, although only 19% of the participants had already eaten insects. Moreover, 42% of the participants would be willing to pay less than the equivalent of a hamburger to buy 10 g of insects and 93% would consider eating insects if necessary. The factors limiting entomophagy are mainly represented by neophobia, disgust, fear of allergic reactions and microbiological hazards. Furthermore, the majority would expect to find specific shelves in stores for insect-based products. Moreover, the majority of the participants accepted that pet or farm animals could be fed with insect-based products. Lastly, almost all the participants considered food safety of edible insects to be the responsibility of the national competent authorities, as required for other foods. The aim of this study was to address the current perceptions of modern consumers to entomophagy and discover the perceived advantages and disadvantages associated with the consumption of insects. Although it is difficult to predict whether edible insects can effectively represent the “food of the future” and whether they can really become part of western consumers’ diet, the results obtained in this study demonstrated that providing consumers with information not only on insects and the production methods used, but also on food safety measures can improve the consumer’s attitude towards entomophagy.

The U.S. hemp-derived cannabinoid industry and the potential of self-regulation: Using social media to assess an evolving health risk

BackgroundFacing statewide bans and increasing oversight in the U.S., representatives from the hemp-derived cannabinoid industry, product advocates, and consumers have been discussing self-policing and self-regulation. Prominent examples of these discussions are found online in Reddit groups. MethodsWe conducted a qualitative thematic analysis of Reddit posts between September 2020 to August 2022, focusing on the conversations surrounding regulation and consumer safety. Approximately 3800 posts were collected and subject to initial analysis. Thematic analysis was guided by literature on self-regulation and consumer health, from the anthropology of pharmaceuticals and the commercial determinants of health. ResultsThe hemp-derived cannabinoid community is discussing self-regulation, shared standards, and transparency. Self-regulation is desired by many, in hopes to stave off prohibition or restrictive government regulation and simultaneously protect consumer health. However, there is little agreement as to what these standards should be, who should oversee them, or how basic concepts should be defined. Subreddit moderators note the ease at which unlicensed or untested products can enter retail store shelves or the informal market, thereby putting health at risk. Given the lack of collective agreement, the absence of state and federal oversight, and the possibilities for consumer deception, consumer frustration and confusion are rampant. With limited access to trustworthy and verifiable information about product safety, purchasers ultimately resort to experimenting on their own bodies to assess risks and benefits. ConclusionsReddit posts reflect the multiple existing tensions in the evolving industry between a genuine appeal among some for workable and consistent industry standards that could protect consumer health, a distrust of regulatory scrutiny from state or federal government, and a desire by others to maintain current profits within the existing unrestrictive free market. Our findings emphasize the urgency of developing coherent, collective, agreed upon policies structured by objective, transparent, scientifically informed regulation in order to develop a safe supply of cannabinoid products and protect consumer health.

Retail pricing format and rigidity of regular prices

AbstractWe study the rigidity of regular and sale prices, and how it is affected by pricing formats (i.e. pricing strategies). We use data from three large Canadian stores with different pricing formats (Every‐Day‐Low‐Price, Hi‐Lo and Hybrid) that are located within a 1 km radius of each other. Our data contain both the actual transaction prices and actual regular prices as displayed on the store shelves. We combine these data with two ‘generated’ regular price series (filtered prices and reference prices) and study their rigidity. Regular price rigidity varies with store formats because different format stores treat sale prices differently, and consequently define regular prices differently. Correspondingly, the meanings of price cuts and sale prices vary across store formats. To interpret the findings, we consider the store pricing format distribution across the USA and Canada.

Determining maximum shipping age requirements for shelf life and food waste management

Products approaching the end of their shelf life on retail store shelves are more likely to result in food waste. For this reason, manufacturers establish shipping policies related to the age of the products that leave their warehouses, that is, they set a maximum age beyond which shipping to retail stores is no longer allowed. In practice, most existing policies are simple one‐size‐fits‐all rules that do not accommodate the varying characteristics of the products. We offer a framework that manufacturers can use to determine maximum shipping age thresholds based on a Markov chain model, where the objective is to maximize profit, net of the cost of expiration at the warehouse and retail stores. We derive analytical insights about the impact of a shipping age threshold on food waste in the supply chain and obtain sufficient conditions under which a maximum shipping age threshold is suboptimal within the class of Ship‐Oldest‐First (a.k.a. First‐In‐First‐Out) issuing policies. We also numerically investigate the relationship between different system parameters (e.g., demand rate, waste cost at warehouse and retail, warehouse inventory, total shelf life) and the optimal shipping age threshold. Using real data from our industry collaborator, we compute the optimal shipping age thresholds at the stock‐keeping‐unit (SKU) level for over 450 products and find that 9–10% of the SKUs currently have suboptimal shipping age thresholds. This presents an opportunity to improve profits by up to 8.7% and reduce food waste by up to 14.7%. These improvements correspond to up to $292,561 savings and 1846 truckloads of waste reduction annually. Our framework can be adopted by any firm and satisfies a much emphasized need in industry to control food waste through shelf life management.

Analyzing Factors Influencing Purchase Intention for Crevolene Products from Evolene Company: A Study on Brand, Packaging, Promotion, Price, and Quality

The Indonesian market for dietary supplements, including products like creatine supplement, has seen significant growth due to the increasing focus on health and wellness. With a rise in fitness activities and a health-conscious population, there is a target market for such supplements. From the interview with the CEO of Evolene, it revealed a notable fluctuation in Crevolene sales since November 2022, raising concerns about revenue stability and sustainable growth. Understanding the contributing factors, such as changing consumer preferences, market dynamics, and pricing fluctuations, is crucial to develop effective marketing strategies. Preliminary findings suggest that Crevolene is gaining recognition among individuals who engage in regular workout routines, indicating a potential target market. By focusing marketing efforts on this segment and analyzing purchase intentions, Evolene can tailor strategies to increase sales and align with customer preferences. Further research is needed to refine market segmentation and develop precise targeting strategies. The purposes of this study are to identify the factors that influence Crevolene product from Evolene company sales and to increase sales of Crevolene product of Evolene Company. This study uses a quantitative research method with descriptive statistics. The sample for this research consists of 207 respondents taken by using non-probability sampling method. The questionnaire will employ a Likert scale with five levels, representing an interval scale. Questionnaire will be distributed online. The research tool used in this research is questionnaire. The data analysis methods used are validity test, reliability test, classic assumption test and hypothesis testing using SPSS software. Based on the research results showed that price, promotion and packaging have significant influence on purchase intention. Consumers before making a purchase, commonly check pricing among several brands or goods. A product’s competitive pricing or superior value as compared to alternatives might influence consumers’ buying intentions. A product may become more alluring when compared to more expensive choices thanks to price reductions or promotions, Promotions frequently include discounts, exclusive deals, or incentives, which give the buyer the impression that they are getting more for their money. Their opinion that they are receiving a good price or additional benefits may affect their decision to buy, also packaging that is attractive and well-designed may draw customers in, stand out on store shelves, and provide a good first impression.

ACS launches green chemistry education campaign

Chemistry education is undergoing a transformation. Educators grapple with a growing number of concepts to teach in an undergraduate curriculum, and they are realizing that solving sustainability challenges requires interconnected systems. Some of the most exciting innovations are emerging at the intersection of disciplines, such as computer science and chemistry. Global sustainability goals are reframing corporate strategies, encouraging companies to collaborate, curb pollution, and reduce waste. Advocates want manufacturers to deliver safe chemicals from the start rather than identify and replace problematic chemicals years after they have been on store shelves. Chemistry graduates are entering a world that requires good sustainability practices and skills inspired by the ways successful green chemists and engineers think. People in green chemistry have developed technologies that advance the United Nations sustainable development goals while minimizing unintended consequences. Many universities and educators are responding to the need for knowledge of sustainable practices. But it is