Relevant bibliographies by topics / Retails Stores

Academic literature on the topic 'Retails Stores'

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Published: 25 July 2024
Last updated: 31 July 2024

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Journal articles on the topic "Retails Stores"

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Ali, Jabir, Ashwin Chandra, and Tabassum Ali. "Self-started versus Family Inherited Businesses: A Comparison of Managing Unorganized Food Grocery Retail Stores in an Emerging Economy." Business Perspectives and Research 5, no. 1 (December 21, 2016): 24–35. http://dx.doi.org/10.1177/2278533716671618.

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This study aims at analyzing the difference in food grocery retail store logistic management between self-started and family inherited retail businesses. The study has been carried out through in-depth personal interview of 40 unorganized grocery retail stores in Lucknow Uttar Pradesh, using a structured questionnaire. Simple statistical techniques such as descriptive statistics and cross-tabulation have been applied on the survey data. Chi-square test has been used to analyze the statistical difference in the processes of retail store management between self-started and family inherited business grocery stores. Findings indicate that those who joined the family run businesses are younger in age as compared to the ones who self-started their grocery stores. Similarly, the average retailing experience of self-starters is (10 years) and family inherited retails is (5 years), showing significant difference statistically, implying that both the groups have different level of retailing experiences. The study also analyzes the difference in methods of logistics management across the different types of unorganized retailers. Analysis indicates that both self-started and family inherited retail businesses follow similar management practices. There are a limited number of in-depth studies on unorganized retail operations based on primary data analysis. The findings of this study provide practical insights on difference in profile of self-started versus family inherited retail businesses and adoption of logistics processes in managing their stores.
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Ms. Sujay S K and Dr. Anupama Sundar D. "Comparative Study on the Challenges of Distribution of Finished Goods to Customers in Different Types of Retail Stores." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 04 (April 23, 2024): 1204–7. http://dx.doi.org/10.47392/irjaem.2024.0161.

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The study was undertaken as qualitative research. The purpose of this study is to compare the channels chosen by retailers to distribute goods to the final consumer. For the purpose of the study 3 different kinds of retails stores were chosen to understand their distribution of goods to the final customer. The retail stores chosen were Malls, Kirana stores and a cloth shop. The method of research was by interview method. The variables chosen for the study were types of channels, channel management, hybrid channels which were independent variables, and the dependent variable was creation of value. Five major questions were asked based on the value creation challenges retailers face in distribution management. From the study it was understood that retailers choose hybrid channels for distribution of goods to the final consumer to enhance the value.
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Tiufany, Britney, and Lina Lina. "THE INFLUENCE OF STORE IMAGE, STORE ATMOSPHERE AND SOCIAL MEDIA MARKETING ON PURCHASE DECISIONS AT SMARTPHONE RETAIL STORES IN PEKANBARU." International Journal of Application on Economics and Business 2, no. 1 (February 28, 2024): 2832–41. http://dx.doi.org/10.24912/ijaeb.v2i1.2832-2841.

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This research aims to determine the influence of store image, store atmosphere, and social media marketing on purchasing decisions at one of the smartphone retails stores in Pekanbaru. The research method is using quantitative approach by distributing questionnaires through offline and online to customers who had made purchases at the store during the period from July - September 2023. The sampling method used a non-probability sampling technique where not all populations have an equal chance with purposive sampling method, which involves the selection of samples based on specific considerations, in a total of 185 respondents. The data analysis technique utilized the Structural Equation Modeling (SEM) model with the Smart PLS 3.0 application. The results of this study indicate a positive and significant influence of store image, store atmosphere, and social media marketing on purchasing decisions at the smartphone retail store. This research provides insights for the store owner to strengthen the store's image, improve the store atmosphere, and effectively utilize social media to positively influence purchasing decisions. The practical implications of this research can assist the retail store in enhancing marketing strategies and store management to increase attractiveness and purchasing decisions.
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Predanocyová, Kristína, Peter Šedík, Ľubica Kubicová, and Elena Horská. "Consumption and Offer of Organic Food on the Slovak Market." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 66, no. 5 (2018): 1315–23. http://dx.doi.org/10.11118/actaun201866051315.

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The growing interest of consumers in the products of organic farming is currently considered as a trend on the food market. The aim of the submitted paper is to characterize organic farming, the production, the offer of organic food in Slovak retails and the position of consumers on the organic food market in Slovakia. For evaluating the situation of organic farming in Slovakia, secondary data from the database of Research Institute of Agricultural and Food Economics and Central Institute of Control and Testing in Bratislava were used. The primary data were obtained through two survey questionnaires. The aim of the first of them was to find out the offer of organic food in retail stores in Slovakia. Based on the results, we can state that most of the addressed retailers sell organic food and the most widespread are dairy products and bakery products. Nowadays, the offer of organic food is the same as the most desirable products by consumers. 40 % of the surveyed Slovak retails have specially labelled products of organic farming placed among conventional foods. The second conducted questionnaire survey, which aim was to determine buying behaviour of young consumers on the Slovak market. Based on the results, it could be stated that consumers mostly purchase organic food in specialized stores, supermarkets, hypermarkets, and they mainly decide according to the quality and origin of the food.
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Sarkar, Koyel, Harsh Khatri, Jayant Shrivastav, and Manvendra Singh. "DigiBasket: The Grocery Store Web App." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (November 30, 2022): 552–54. http://dx.doi.org/10.22214/ijraset.2022.47347.

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Abstract: Online Grocery Store is an eCommerce based web application for our Web Programming project. We had developed a sample in which user can search and find necessary information about any grocery item, can proceed to checkout to buy products. User can create an account, update personal information, can check its past activities, orders and transaction. A grocery store (AE), grocery shop (BE) or simply grocery is a store that primarily retails a general range of food products, which may be fresh or packaged. In everyday U.S. usage, however, "grocery store" is a synonym for supermarket, and is not used to refer to other types of stores that sell groceries. In the UK, shops that sell food are distinguished as grocers or grocery shops (though in everyday use, people usually use either the term "supermarket" or a "corner shop" or "convenience shop"). Larger types of stores that sell groceries, such as supermarkets and hypermarkets, usually stock significant amounts of non-food products, such as clothing and household items. Small grocery stores that sell mainly fruit and vegetables are known as greengrocers (Britain) or produce markets (U.S.), and small grocery stores that predominantly sell prepared food, such as candy and snacks, are known as convenience shops or delicatessens.
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Candra Budi Susila, Candra Budi Susila, and Miftahul Huda Huda. "RANCANG BANGUN SISTEM INFORMASI PENJUALAN MENGGUNAKAN METODE WATERFALL." Jurnal Qua Teknika 11, no. 1 (March 10, 2021): 18–25. http://dx.doi.org/10.35457/quateknika.v11i1.1407.

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Abstract - esign and Design of Computer Sales Information Systems using the waterfall method is a study that aims to design and build sales information systems at a computer retail store or "Artha Komputer Center". Artha Computer Center is one of the retails or stores in Pacitan that provides various types of computers and laptops. In the management of sales that are still conventional in nature, this research focuses more on the design and implementation of systems that hope to provide alternative solutions in the management of goods. So with this sales information system, it is expected that the management of goods is more organized, sales transactions are safer from mistakes. This waterfall method uses a sequential approach by following several phases, including system requirements analysis, system design, coding on the system, testing and the last one is maintenance..
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Hidayat, Ujang Syaiful, Dwi Widi Hariyanto, and Iwan Wahyu Susanto. "Meneropong collective entrepreneurship dan manajemen strategis pada Toko/Warung Madura." Implementasi Manajemen & Kewirausahaan 3, no. 2 (October 30, 2023): 52–60. http://dx.doi.org/10.38156/imka.v3i2.204.

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Abstract: Many Madurese-owned stalls or retail shops with similar facades, items, prices, and opening 24/365 in major cities across Indonesia have gone viral on social media, making them an intriguing retail chain phenomenon to investigate. At a glance, this phenomenon opposes conventional strategic management, which emphasizes competitive advantage. This qualitative study uses observation, interviews, and document analysis to gain insight into the strategic management paradigm was held in Surabaya and Madura. The results show that these retail stores are sporadic in nature, not retail chains. No coherent management strategy has been planned, applied, or assessed. The Madurese genius loci that becomes their philosophy of living, when put into practice, gives rise to a novel approach to corporate strategy. Keywords: Strategic management, collective entrepreneurship, retails, Madura.
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Sachdeva, J. K. "Study of Consumers’ perceptions about Malls and Traditional Retail Outlets." Journal of Global Economy 4, no. 4 (December 31, 2008): 259–75. http://dx.doi.org/10.1956/jge.v4i4.107.

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Cooperative marketing is not new to India. To get the economies of scale, Indian craftsmen and traders made shrenies or groups of similar products and trade during 6th and 7th centuries. This was the basis of caste system. The villages during medieval and British period grew with cooperative trade. Cooperative marketing is just an extension and application of the philosophy of cooperation in the area of agricultural marketing. It is a process of marketing through a cooperative society, formed for the producers, by the producers. It seeks to eliminate the middlemen between the producer and the consumer, thus getting the maximum price for their produce. Kirana shops are traditional retail outlets in India. However with the advent of new cooperative marketing with modern all-facility malls, there is general perception that retails consumers are getting skewed towards malls and consequently Kirana stores are experiencing tough competition to retain their customers. This paper is an attempt to know consumers’ perception of Malls and Kriana stores.
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Kollarova, Daniela. "Globalisation and its impact on the creation of sustainable points of purchase." SHS Web of Conferences 74 (2020): 04011. http://dx.doi.org/10.1051/shsconf/20207404011.

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In the second half of the 1990s, important global traders began to come to the Slovak market, changing the functional layout of the towns and cities by building large-scale stores, bringing new formats and forms of selling to retails, as well as thoughtful external and internal shop designs. More than twenty years have passed since then, however, internationalmarketers continue to shape the Slovak retail market, this time through a sustainable architecture of shops and logistics centres, responsible product assortments, reduced food waste, separating and reducing paper or plastic packaging and batteries, changing the employees´ clothing for garments from organic cottons, and so on. They have namely realized that the environment is more affected than protected as a result of globalization, and it is therefore necessary to take measures to protect the natural world with regard to permanently sustainable principles. The object of our research is the shopping setting in retail stores of selected worldwide retail chains operating in Slovakia, i.e. all elements of the retail shop and its operation (its design, layout, goods presentation, staff and customers), in the context of sustainability. We are looking for answers to the questions of which selected global retail chain stores working in Slovakia and by implementing of which specific measures they build sustainable points of sale. In the process of elaborating the paper we used as sources of information relevant publications, proceedings of scholarly papers, as well as studies available at the Internet sites of specialized journals. At elaborating the sources, we applied standard scientific methods: researching, description, analysis, and deduction.
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Krishna Chaitanya, G., Dinesh Reddy Meka, Vakalapudi Surya Vamsi, and M. V S Ravi Karthik. "A Survey on Twitter Sentimental Analysis with Machine Learning Techniques." International Journal of Engineering & Technology 7, no. 2.32 (May 31, 2018): 462. http://dx.doi.org/10.14419/ijet.v7i2.32.16268.

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Sentiment or emotion behind a tweet from Twitter or a post from Facebook can help us answer what opinions or feedback a person has. With the advent of growing user-generated blogs, posts and reviews across various social media and online retails, calls for an understanding of these afore mentioned user data acts as a catalyst in building Recommender systems and drive business plans. User reviews on online retail stores influence buying behavior of customers and thus complements the ever-growing need of sentiment analysis. Machine Learning helps us to read between the lines of tweets by proving us with various algorithms like Naïve Bayes, SVM, etc. Sentiment Analysis uses Machine Learning and Natural Language Processing (NLP) to extract, classify and analyze tweets for sentiments (emotions). There are various packages and frameworks in R and Python that aid in Sentiment Analysis or Text Mining in general.
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Dissertations / Theses on the topic "Retails Stores"

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BESNAULT, Camille, and Han Cordova Maria-Claudia Sun. "Employee Engagement : Sporting goods retail stores in Gävle." Thesis, Högskolan i Gävle, Avdelningen för ekonomi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-14852.

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Title: Employee Engagement - Sporting goods retail stores in Gävle. Level: Second cycle, Final assignment for Master Degree in Business Administration Author: Maria Claudia Sun Han Cordova and Camille Besnault Supervisor: Maria Fregidou-Malama and Pär Vilhelmson Date: 2013 - May   Purpose: This study examines employee engagement. For that matter, we investigate the factors that influence employee engagement in sporting goods retail stores, and the impact of relationships interactions between the team and the manager.   Method: This study was conducted through a deductive approach. The data was collected from two sporting goods retail stores: Stadium and Intersport, located in Gävle, Sweden; through questionnaires for both store’s employees, and face-to-face interviews to the store managers and employees. Finally, data was analyzed with the programs Microsoft Excel and SPSS.   Result  &  Conclusions:  We  found  out  that  sporting  goods  retail  store’s  employees  were mainly motivated by personal factors, job satisfaction factors and intrinsic factors, such as belongingness to the team. It appears that employees give significance importance to the relationship  they  have  with  their  manager  and  coworkers.  We  also  found  out  that  the relationship with the customers has a huge impact on employee engagement. Suggestions for future research: This research was conducted in a geographic area in a specific  country  (Sweden).  Additionally,  it  is  based  on  the  sporting  goods  retail  market. Thus, it could be interesting to extend this research to others sectors and markets, or to do the same research in another country. Contribution  of  the  thesis:  While  theories  about  employee  engagement  consider  the relationship between employees and co-workers, and employees and manager as important for  employee  engagement,  we  empirically  discovered  that  the  relationship  between employees and customers influences employee engagement significantly. Key  words:  Job  satisfaction,  employee  engagement,  sporting  goods  retails,  motivation, relationships.
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Mogollón, Hidalgo Melany Gianella, and Cortez Valeria Cristina Pérez. "E-service quality y su relación con la e-confianza y la e-satisfacción del cliente en e-retails de tiendas por departamento en Lima Metropolitana." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/654530.

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La compra en e-retails en el Perú ha ido en aumento en los últimos años; no obstante, existen factores que causan desconfianza en los clientes al navegar en estos canales digitales, por lo que es una gran barrera ya que impide que realicen compras en estos sitios web. Por ello, los autores mencionan que, para poder generar una grata experiencia en el e-service quality de los e-retails de tiendas por departamento, es importante que los clientes sientan confianza al navegar en estos medios. Por lo tanto, el objetivo de este estudio es analizar la relación existente entre el e-service quality y sus dimensiones basadas en el modelo ES-QUAL de Parasuraman con la e-confianza y la e-satisfacción, siendo la variable mediadora la e-confianza. Asimismo, se explora la relevancia de cada variable mencionada en los e-retail de tiendas por departamento en el Perú. Es importante mencionar que, el e-service quality permite calificar la calidad de servicio en línea; por consiguiente, para medir esta variable se tomará el modelo de ES-QUAL de Parasuraman, el cual se desarrolló en una escala de 22 ítems de cuatro dimensiones: la eficiencia, cumplimiento, disponibilidad del sistema y privacidad. Cabe resaltar que este estudio tiene un enfoque cuantitativo y la muestra es un total de 400 hombres y mujeres de 25 a 34 años que viven en Lima Metropolitana y que por lo menos han comprado una vez en los últimos 6 meses en uno de los e-retails de tiendas por departamento.
The purchase in e-retails in Peru has been increasing in recent years. However, there are factors that produce distrust in customers when browsing these digital channels, so it’s a barrier because it prevents them from making purchases on these websites. For this reason, the authors mention that in order to generate a great experience in the e-service quality of  e-retails department stores, it's important that customers feel confident when browsing these media. Therefore, the objective of this study is to analyze the relation between e-service quality and their dimensions based on the ES-QUAL model of Parasuraman with e-trust and e-satisfaction, the mediating variable being e-trust. Likewise, we explored the relevance of each variable mentioned in e-retails department stores in Peru. It's important to mention that the e-service quality allows to qualify the quality of the online service. Therefore, to measure this variable, will be takenthe ES-QUAL model of Parasuraman, which was developed on a scale of 22 items with four dimensions: efficiency, fulfilment, system availability and privacy. It should be noted here that this study has a quantitative approach and the sample is a total of 400 men and women aged 25 to 34 who live in Metropolitan Lima and who have bought at least once in the last 6 months in one of the e- department store retails.
Trabajo de investigación
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Herriges, Philip M. "Community_patch retail's influence on the public space /." This title; PDF viewer required. Home page for entire collection, 2010. http://archives.udmercy.edu:8080/dspace/handle/10429/9.

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Tang, Lai-yee Sandy. "Retail location decision analysis : the cases of chain stores /." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25803517.

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Simkin, L. P. "The assessment of retail store locations : UK retailers' location practices and the development of a predictive retail store location performance model." Thesis, University of Bradford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372163.

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Miwa, Kanna, and Soemon Takakuwa. "SIMULATION MODELING AND ANALYSIS FOR IN-STORE MERCHANDIZING OF RETAIL STORES WITH ENHANCED INFORMATION TECHNOLOGY." IEEE, 2008. http://hdl.handle.net/2237/12112.

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Chan, Shui-yu Marion. "A business plan for setting up a necktie specialty shop in Hong Kong." [Hong Kong : University of Hong Kong], 1992. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13302358.

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Stanuszek, Marta. "Retail refreshed /." Online version of thesis, 2007. http://hdl.handle.net/1850/10968.

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Das, Lita. "Backroom space allocation in retail stores." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120662.

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Thesis: Ph. D. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 168-171).
Space is one of the most scarce, expensive, and difficult to manage resources in urban retail establishments. A typical retail space broadly consists of two areas, the customer facing frontroom area and the backroom area, which is used for inventory storage and other support activities. While frontrooms have received considerable amount of attention from both academics and practitioners, backrooms are an often neglected area of retail space management and design. However, the allocation of space to the backroom and its management impact multiple operational aspects of retail establishments. These include in-store labor utilization, delivery schedules, product packaging, and inventory management. Therefore, the backroom area directly affects the performance of the store because it impacts stock-outs, customer service levels, and labor productivity. Moreover, extant literature suggests that backroom related operations contribute to a large fraction of the total retail supply chain costs. Thus, optimizing the management of backroom spaces is an important lever for store performance improvement. We address the gap in the extant literature related to space management of retail backrooms by investigating the following three questions: First, what is the effect of pack size on inventory levels and space needs in the backroom? Second, how can a given backroom space be efficiently utilized through optimal inventory control? Third, what is the optimal amount of space that should be allocated to the backroom in a given retail establishment? To address the first question, we evaluate the effect of two discrete pack sizes, order pack size (OPS) and storable pack size (SPS), on inventory levels and storage space requirements in the backrooms. While SPS drives the space needs for a given inventory level, OPS drives the amount of excess inventory and therefore, the space needs. Using inventory theory and probability theory, we quantify the amount of excess inventory and the expected stock-out probability for a given OPS in the case of a normally distributed demand. To address the second question, we discuss an inventory-theoretic approach to efficiently manage a given backroom space within a limited service restaurant. Specifically, we formulate a mathematical optimization model using mixed-integer linear programing with the objective of maximizing store profit. Applying this optimization model to real store data in collaboration with a major US retailer reveals cost implications related to constrained backroom space and the sensitivity of backroom space requirements to changes in OPS and SPS. The proposed model can serve as a decision support tool for various real-world use cases. For instance, the tool can help the retailers to identify (i) items whose contribution to the store profit does not justify their space needs in the backroom, and (ii) stores that are constrained in their profitability growth by backroom space limitations. To address the third question, we introduce the notion of interdependency between the frontroom and the backroom of a retail establishment. Such interdependencies yield nontrivial trade-offs inherent to the optimal retail space allocation. Demand can be lost due to unavailability of inventory (or inventory stock-out), which is a result of scarce amount of backroom space, or due to unavailability of sufficient frontroom space (or space stock-out). Furthermore, constrained backroom spaces increase in-store labor cost and the ordering costs incurred per unit of revenue generated in a retail establishment. The strategic decision model formulated in this chapter accounts for revenue, inventory cost, labor cost and ordering cost to determine the optimal amount of backroom space that should be allocated within a retail establishment. Sensitivity analyses with respect to the change in input parameters is used to connect the backroom space allocation and its impact on store profit to the different supply chain levers that can be managed by the retailers.
by Lita Das.
Ph. D. in Engineering Systems
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To, Tak-chun Kelvin. "Factors affecting the patronage turnover of retail chain stores in Hong Kong /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25948672.

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Books on the topic "Retails Stores"

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Mainoli, Anna. Negozi e showroom. Milano: Motta architettura, 2008.

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Apostola, Andrew. Taking back retail: Transforming traditional retailers into digital retailers. Collingwood, Vic: Portable Australia, 2013.

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Langston, P. Retail saturation, retail location, and retail competition: An anlysis of British grocery retailing. Leeds: University of Leeds, School of Geography, 1995.

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Sood, Robert. Dublin city centre department stores: A retail store image measurement study. Dublin: UniversityCollege Dublin, 1992.

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University, Cornell. Operating results of mass retail stores and the mass retailers' merchandising report. [Ithaca, N.Y.]: Cornell University, 1987.

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United States. Small Business Administration. Office of Business Development., ed. Buying for retail stores. [Washington, D.C.?]: U.S. Small Business Administration, Office of Business Development, 1989.

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Kreiger, Murray. Buying for retail stores. [Washington, D.C.?]: U.S. Small Business Administration, Office of Business Development, 1987.

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Quinn, Marguerite. The future viability of the neighbourhood centre in local authority housing estates, with reference to the propertymarket. Dublin: University College Dublin, 1989.

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Ltd, Mintel International Group, ed. Retail store design. London: Mintel International, 2000.

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Ltd, Mintel International Group, ed. Retail Store Design. London: Mintel International, 2002.

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Book chapters on the topic "Retails Stores"

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Coronado-Hernandez, Jairo R., Andrés F. Calderón-Ochoa, Ivan Portnoy, and Jorge Morales-Mercado. "Comparison Between Amazon Go Stores and Traditional Retails Based on Queueing Theory." In Communications in Computer and Information Science, 347–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86702-7_30.

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Noordin, Mohd Azri Mohd Jain, Mohammed Fadzli Maharimi, Ismi Luqman Hamadi Ibrahim, Muhammad Rizal Khairuddin, and Azizi Bahauddin. "Perceptions of Existing Small Business Retailers on the Emerging Modern Stores Design in Malaysia; Case Study Existing Small Fashion Retails Store in Georgetown, Penang." In Financial Technology (FinTech), Entrepreneurship, and Business Development, 565–74. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08087-6_40.

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Taylor, Mark, and Yannis Zavoleas. "From retail stores to real-time stories." In Architectures of Display, 167–81. New York : Routledge, 2017. | Series: Routledge research in: Routledge, 2017. http://dx.doi.org/10.4324/9781315567792-12.

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Larke, Roy, and Michael Causton. "Department Stores." In Japan — A Modern Retail Superpower, 83–102. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230511408_5.

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Larke, Roy, and Michael Causton. "Convenience Stores." In Japan — A Modern Retail Superpower, 137–60. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230511408_8.

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Egan-Wyer, Carys, Sofia Valentin, and Åsa Parsmo. "(When) Is it Worth Investing in the Personal Service Encounter?" In The Future of Consumption, 345–58. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33246-3_22.

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AbstractMany retail chains believe that the personal service encounter is the solution to declining sales figures. Via a large-scale study of Swedish fashion consumers, we demonstrate, that this may not necessarily be the case. We argue that retailers can potentially save money and convert more customers by providing a more automated journey, which includes self-service technologies, for some customers, and reserving personal service encounters for those that need it to be converted. The retail industry has a lot to gain (financially) from facilitating a more automated customer acquisition while streamlining and prioritising store employees’ time where it will generate most returns. Based on our findings, we suggest that the successful retail stores of the future will be the ones that can answer the following question: When is it worth investing in the personal service encounter and when are self-service technologies more appropriate? This chapter will help them to do so.
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Kümpel, Michaela, Christian A. Mueller, and Michael Beetz. "Semantic Digital Twins for Retail Logistics." In Dynamics in Logistics, 129–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88662-2_7.

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AbstractAs digitization advances, stationary retail is increasingly enabled to develop novel retail services aiming at enhancing efficiency of business processes ranging from in-store logistics to customer shopping experiences. In contrast to online stores, stationary retail digitization demands for an integration of various data like location information, product information, or semantic information in order to offer services such as customer shopping assistance, product placement recommendations, or robotic store assistance.We introduce the semantic Digital Twin (semDT) as a semantically enhanced virtual representation of a retail store environment, connecting a symbolic knowledge base with a scene graph. The ontology-based symbolic knowledge base incorporates various interchangeable knowledge sources, allowing for complex reasoning tasks that enhance daily processes in retail business. The scene graph provides a realistic 3D model of the store, which is enhanced with semantic information about the store, its shelf layout, and contained products. Thereby, the semDT knowledge base can be reasoned about and visualized and simulated in applications from web to robot systems. The semDT is demonstrated in three use cases showcasing disparate platforms interacting with the semDT: Optimization of product replenishment; customer support using AR applications; retail store visualization, and simulation in a virtual environment.
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Dewick-Tew, Lucy, and Eddie Miles. "Retail shops and stores." In Metric Handbook, 34–1. 7th ed. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003052586-37.

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Lawson, Fred. "Retail shops and stores." In Metric Handbook, 651–65. Sixth edition. | New York: Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315230726-35.

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Spanke, Matthias. "In-Store Apps." In Retail Isn't Dead, 77–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36650-6_10.

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Conference papers on the topic "Retails Stores"

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Nemri, Abdelkarim, and Moncef Krarti. "Analysis of Electrical Energy Savings From Daylighting Through Skylights." In ASME 2005 International Solar Energy Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/isec2005-76077.

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This paper provides a simplified analysis tool to assess the energy saving potential of daylighting for commercial buildings through skylights. Specifically, the impact of daylighting is investigated for various fenestration opening sizes, glazing types, control strategies, and geographic locations. A top floor of a prototypical office building has been considered in the analysis. The results obtained for the office building can be applied to other types of buildings such as retails stores, schools, and warehouses. Based on the simulation analysis results, it was determined that skylight to floor ratio more than 0.3 does not affect significantly the lighting energy savings. An optimum value of skylight to floor area ratio was found to be 0.2 to minimize the annual total building energy use.
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Kalashnikova, Kseniia. "Unfolding Authenticity within Retail Transformation in Novosibirsk, Russia." In 9th BASIQ International Conference on New Trends in Sustainable Business and Consumption. Editura ASE, 2023. http://dx.doi.org/10.24818/basiq/2023/09/049.

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The goal of the article is to describe the transformation of retail and to reveal how representatives of retail turn to the idea of authenticity. The study focuses on 3 areas in the city of Novosibirsk: the city center, Akademgorodok, and Zatulinskiy residential area. This research is conducted by a mixed-method involving quantitative and qualitative approaches. The quantitative approach is an analysis of interactive map data (2GIS): the information about all businesses in Novosibirsk’s districts in 2007 and 2023 years. The qualitative approach is visual analysis of the commercial fabric of the districts using the authenticity concept. The main findings of the research. During the period from 2007 to 2023, there was a significant increase in the number of retails in the selected areas. Moreover, in the case of the city center and Akademgorodok, the proportion of the HORECA category, primarily catering establishments, has increased. The retail in Zatulinskiy residential area is mainly represented by chain establishments, among which various grocery stores and supermarkets stand out, and the HORECA sphere is not expressed vividly. At the design level, establishments can refer to the authenticity of the place in various ways: by indicating official, expert evaluation of the age of the building, through names that refer to the roots of the place, or through images that would be associated with cultural symbols of the place. However, it is also typical for situations when symbols of places located in other countries are commodified, or when the only concern in the design is the visibility of the establishment. The results of this study may be of interest to business representatives who apply local symbols in their design.
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Tiutiu, Miriam, Dan-Cristian Dabija, Maria Carmen Pantea, and Mihai Felea. "Artificial Intelligence Implications in Retail in the New Normal: A Qualitative Approach." In 9th BASIQ International Conference on New Trends in Sustainable Business and Consumption. Editura ASE, 2023. http://dx.doi.org/10.24818/basiq/2023/09/043.

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Purpose/objectives: The recent COVID-19 pandemic has caused major disruptions not only in the supply chains, but also in the activity of retailers. Although food retailers were able to keep their stores open during the lockdown period, non-food retailers had to identify appropriate ways to keep in touch with customers. To attract them to stores, more and more retailers have resorted to artificial intelligence systems and applications. In the New Normal, a number of these systems and applications maintain their validity, and they are used to attract customers’ attention, but also to enhance their experience. Design/methodology: To highlight the way in which retailers with activities in Romania resort to systems and applications based on artificial intelligence in the context of the New Normal, an in-depth interview guide was administered by means of telephone and face to face. It consisted of open-ended questions operationalized based on the literature. The authors distributed the in-depth interview guide to different representatives of retailers in Romania. In total, 15 in-depth interview guides were collected, the results being analysed by thematic analysis. Findings: The results reveal that while the large retail networks are already considering the use of systems and applications based on artificial intelligence, i.e. even resorting to them in the form of chatbots and/or autonomous robots for attracting and advising customers; retailers also employ AI based software for stock management, and implement self-service/self-pay counters. Although big retail chains resort more and more often to artificial intelligence-based techniques and instruments, small retailers do not have interest in them. For representatives of small retailers, the costs associated with investing in artificial intelligence systems are not justified and do not generate enough added value. Originality/value: The results point to an increased interest in artificial intelligence systems applied in retail, with representatives of large store chains understanding their usefulness and even already implementing certain solutions based on artificial intelligence. However, there are also representatives of retailers who are sceptical and do not see, for the moment, the relevance of resorting to these systems.
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Badve, Bhargavi, Khushi Gandhi, and Ganesh Jadhav. "Enhancing Organizational Efficiency and Security in Supermarkets: A Case Study of DMart ." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004930.

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In India, retail chains are rapidly expanding, with both domestic and international players competing. Among all its competitors, DMart stands out as one of the most prominent retailers. DMart Supermarket chain is a one-stop shop for all your home utility needs, with groceries being its main market. It currently operates 341 stores across India and is still growing. It’s revenue as of 2023 is ₹42,968 crore (US$5.4 billion). It faces challenges in maintaining organization in the store and security due to high foot traffic. This study investigates the underlying reasons behind lack of organizational efficiencies in the store and security vulnerabilities using a mixed-methods approach. Qualitative methods, including observation, ethnography, and case studies, are employed to explore customer experiences and security concerns. Additionally, quantitative surveys gather data to quantify the extent of these issues. Findings indicate that these factors contribute to customer dissatisfaction and increase the risk of theft incidents. A redesign of the store's rack layout and improved security systems are proposed to address these challenges and improve organizational efficiency. Through careful analysis, it is evident that even minor adjustments, such as reconfiguring rack layouts, can significantly improve customer satisfaction by saving time and enhancing accessibility. Further, minor security enhancements can boost the organization's efficiency and gain both customers and stakeholders' trust. The research provides valuable insights for the retail industry, DMart , by providing practical solutions to improve customer service and mitigate security risks.
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Kolar, Nina. "Artificial Intelligence in Retail Stores: Evaluation of Readiness to Adopt AI Technologies Among Consumers." In 8th FEB International Scientific Conference. University of Maribor Press, 2024. http://dx.doi.org/10.18690/um.epf.5.2024.17.

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This research aims to explore consumer attitudes toward the incorporation of Artificial Intelligence (AI) in physical retail settings, specifically examining how prior AI experiences, perceived risks, consumer self-efficacy in AI usage, and gender differences influence their readiness to embrace AI technologies in retail environments. Employing a quantitative cross-sectional survey methodology, the study gathered data from 243 consumers knowledgeable about AI who have engaged in shopping activities within physical stores over the past year. Through descriptive statistics, Pearson's correlation, and t-tests, the analysis reveals a direct positive correlation between consumers' previous AI interactions and their openness to AI in retail. Conversely, perceived risks are found to affect their willingness to engage with AI technologies negatively. The research is geographically limited to Slovenia, which may restrict the applicability of its findings to other contexts. The study emphasizes the potential for increasing consumer acceptance of AI in retail through the introduction of strategic technology and the emphasis on security features. Contributing original insights into the dynamics of consumer perceptions of AI within the physical retail sector, this work offers valuable implications for retailers aiming to optimize AI integration strategies to mitigate consumer apprehensions and accommodate diverse demographic preferences.
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Marić, Radenko, Goran Vukmirović, Daniela Nuševa, Sonja Vučenović, and Nikola Macura. "The Functioning of Retail Stores of Fmcg in Circumstances of Crises in the Republic of Serbia." In 29th International Scientific Conference Strategic Management and Decision Support Systems in Strategic Management. University of Novi Sad, Faculty of Economics in Subotica, 2024. http://dx.doi.org/10.46541/978-86-7233-428-9_394.

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The retail sector with its network of stores is an inseparable and one of the most important parts for the functioning of the economy and society in general in the modern dynamic market environment. This is particularly evident when it comes to the retail sale of fast moving consumer goods (FMCG). The fact is that the vast majority of the population does not produce food and other existential goods for daily consumption, but is completely dependent on the purchase of these products. Considering this, it is clear that any major turbulence caused by a certain crisis that directly or indirectly affects retail sector also affects consumers’ life quality. Crises, such as those caused by the COVID 19 pandemic, lead to product shortages on the shelves, reduced opening hours of the stores, closure of stores in many locations, changes in the assortment of stores, increase in prices of products on retail shelves, longer waits for product delivery, less employees in the stores that are available to consumers, etc. If the global events that caused crises on market in the recent past have shown as anything, it is that crises will be more and more frequent, with an unpredictable length and even faster expectations for adjustments to market conditions in order to persist and remain competitive. The objective of this research is to look at the impact of these crises and their consequences on retailers and consumers, in order to predict new crises and make suggestions so that retailers can react to mitigate the effects of these crises.
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Raber, Frederic, David Ziemann, and Antonio Krueger. "The 'Retailio' Privacy Wizard: Assisting Users with Privacy Settings for Intelligent Retail Stores." In European Workshop on Usable Security. Reston, VA: Internet Society, 2018. http://dx.doi.org/10.14722/eurousec.2018.23001.

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Farhana, Mosarrat, and Daniel Swietlicki. "Digitalization as a Game-Changer: A Study on Swedish Video Game Industry." In The 2st Linnaeus Student Conference on Information Technology: Digital Transformation in the Contemporary World. Lnu Press, 2021. http://dx.doi.org/10.15626/lscit2020.01.

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The purpose of this study is to extend the understanding of the business model of video game retailers using online and physical stores. It focuses on the impact of digitalization on the retailing industry considering different actors like retailers and consumers. This is a qualitative multiple-case study based on deductive reasoning. Two cases of click-and-mortar retailers operating in the Swedish video game industry have been considered along with feedback from customers. Online personal interviews and semi-structured interviews have been conducted with retailers and customers respectively. Both primary and secondary data have been used. Findings show that video game retailers need to encourage engagement through incentives and other activities to create value and change up their formats and sales strategies through pricing to reach new customers and focus on design of their online store fronts to convey trustworthiness. It offers some insightful practical suggestions to retailers who are struggling hard to adopt digital transformations in the industry. Authors’ proposed research model, based on Sorescu et al. (2011)’s retail business model and the empirical findings, contributes in the less explored domain of research on business models from retailer’s perspectives. Moreover, it adds values in industry specific study like the video game industry in Sweden considering all actors, which is argued as scarce.
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Geiger, Manuel, Franziska Jago, and Susanne Robra-Bissanzt. "Physical vs. Digital Interactions: Value Generation Within CustomerRetailer Interaction." In Digital Support from Crisis to Progressive Change. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-485-9.12.

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The traditional retail sector is currently facing major challenges, particularly due to digitalisation and the associated changes in customer behaviour, increasing demands in the service world, new technologies and other factors. The COVID19 pandemic has accelerated and intensified this process. From a retailer's point of view, it is essential to create value for the customer through digital interactions. In this article, a study based on the Value in Interaction Model investigates whether it is possible for physical retailers to make a digitally supported interaction as valuable as the direct contact in the store and what influence this has on the Perceived Relationship Quality. The results show that the difference in perceived value between the physical and digital retailer interaction is relatively small. This proves that when the interaction layers are actively designed with a focus on value, a digital interaction can be almost as valuable as the traditional in-store interaction.
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Allagiannis, Ioannis, Aparna Lohiya, and Anita Mirijamdotter. "Omnichannel Retail and Business Model Transformation." In The 2st Linnaeus Student Conference on Information Technology: Digital Transformation in the Contemporary World. Lnu Press, 2021. http://dx.doi.org/10.15626/lscit2020.05.

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Due to new technological developments and the ongoing digitalization, the traditional retail sector is currently exposed to major challenges. Digital Retail started with the development of e-commerce, when online companies, such as Amazon, began selling products online. These major online global players are still growing much faster than their smaller European retail competitors. As the absorption of buying power through online retailers, is dominated by global players based in Asia (Alibaba, Rakuten) and the United States (Amazon, eBay), Europe is experiencing a loss in revenue. In this highly competitive market, traditional European brick-and-mortar retailers face hard challenges. However, studies show that most customers currently do not prefer pure online retailers, but a hybrid model, since traditional stores provide them with the opportunity to experience products and to receive personal advice from experts. This paper is a contribution to on-going research on the business model transition to include digital channels in traditional retail companies and to integrate various channels that support and streamline personal customer requirements. Thus, the paper explores challenges and opportunities for omnichannel management in the digital retail industry.
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Reports on the topic "Retails Stores"

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Jorgensen, Frieda, Andre Charlett, Craig Swift, Anais Painset, and Nicolae Corcionivoschi. A survey of the levels of Campylobacter spp. contamination and prevalence of selected antimicrobial resistance determinants in fresh whole UK-produced chilled chickens at retail sale (non-major retailers). Food Standards Agency, June 2021. http://dx.doi.org/10.46756/sci.fsa.xls618.

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Campylobacter spp. are the most common bacterial cause of foodborne illness in the UK, with chicken considered to be the most important vehicle for this organism. The UK Food Standards Agency (FSA) agreed with industry to reduce Campylobacter spp. contamination in raw chicken and issued a target to reduce the prevalence of the most contaminated chickens (those with more than 1000 cfu per g chicken neck skin) to below 10 % at the end of the slaughter process, initially by 2016. To help monitor progress, a series of UK-wide surveys were undertaken to determine the levels of Campylobacter spp. on whole UK-produced, fresh chicken at retail sale in the UK. The data obtained for the first four years was reported in FSA projects FS241044 (2014/15) and FS102121 (2015 to 2018). The FSA has indicated that the retail proxy target for the percentage of highly contaminated raw whole retail chickens should be less than 7% and while continued monitoring has demonstrated a sustained decline for chickens from major retailer stores, chicken on sale in other stores have yet to meet this target. This report presents results from testing chickens from non-major retailer stores (only) in a fifth survey year from 2018 to 2019. In line with previous practise, samples were collected from stores distributed throughout the UK (in proportion to the population size of each country). Testing was performed by two laboratories - a Public Health England (PHE) laboratory or the Agri-Food & Biosciences Institute (AFBI), Belfast. Enumeration of Campylobacter spp. was performed using the ISO 10272-2 standard enumeration method applied with a detection limit of 10 colony forming units (cfu) per gram (g) of neck skin. Antimicrobial resistance (AMR) to selected antimicrobials in accordance with those advised in the EU harmonised monitoring protocol was predicted from genome sequence data in Campylobacter jejuni and Campylobacter coli isolates The percentage (10.8%) of fresh, whole chicken at retail sale in stores of smaller chains (for example, Iceland, McColl’s, Budgens, Nisa, Costcutter, One Stop), independents and butchers (collectively referred to as non-major retailer stores in this report) in the UK that are highly contaminated (at more than 1000 cfu per g) with Campylobacter spp. has decreased since the previous survey year but is still higher than that found in samples from major retailers. 8 whole fresh raw chickens from non-major retailer stores were collected from August 2018 to July 2019 (n = 1009). Campylobacter spp. were detected in 55.8% of the chicken skin samples obtained from non-major retailer shops, and 10.8% of the samples had counts above 1000 cfu per g chicken skin. Comparison among production plant approval codes showed significant differences of the percentages of chicken samples with more than 1000 cfu per g, ranging from 0% to 28.1%. The percentage of samples with more than 1000 cfu of Campylobacter spp. per g was significantly higher in the period May, June and July than in the period November to April. The percentage of highly contaminated samples was significantly higher for samples taken from larger compared to smaller chickens. There was no statistical difference in the percentage of highly contaminated samples between those obtained from chicken reared with access to range (for example, free-range and organic birds) and those reared under standard regime (for example, no access to range) but the small sample size for organic and to a lesser extent free-range chickens, may have limited the ability to detect important differences should they exist. Campylobacter species was determined for isolates from 93.4% of the positive samples. C. jejuni was isolated from the majority (72.6%) of samples while C. coli was identified in 22.1% of samples. A combination of both species was found in 5.3% of samples. C. coli was more frequently isolated from samples obtained from chicken reared with access to range in comparison to those reared as standard birds. C. jejuni was less prevalent during the summer months of June, July and August compared to the remaining months of the year. Resistance to ciprofloxacin (fluoroquinolone), erythromycin (macrolide), tetracycline, (tetracyclines), gentamicin and streptomycin (aminoglycosides) was predicted from WGS data by the detection of known antimicrobial resistance determinants. Resistance to ciprofloxacin was detected in 185 (51.7%) isolates of C. jejuni and 49 (42.1%) isolates of C. coli; while 220 (61.1%) isolates of C. jejuni and 73 (62.9%) isolates of C. coli isolates were resistant to tetracycline. Three C. coli (2.6%) but none of the C. jejuni isolates harboured 23S mutations predicting reduced susceptibility to erythromycin. Multidrug resistance (MDR), defined as harbouring genetic determinants for resistance to at least three unrelated antimicrobial classes, was found in 10 (8.6%) C. coli isolates but not in any C. jejuni isolates. Co-resistance to ciprofloxacin and erythromycin was predicted in 1.7% of C. coli isolates. 9 Overall, the percentages of isolates with genetic AMR determinants found in this study were similar to those reported in the previous survey year (August 2016 to July 2017) where testing was based on phenotypic break-point testing. Multi-drug resistance was similar to that found in the previous survey years. It is recommended that trends in AMR in Campylobacter spp. isolates from retail chickens continue to be monitored to realise any increasing resistance of concern, particulary to erythromycin (macrolide). Considering that the percentage of fresh, whole chicken from non-major retailer stores in the UK that are highly contaminated (at more than 1000 cfu per g) with Campylobacter spp. continues to be above that in samples from major retailers more action including consideration of interventions such as improved biosecurity and slaughterhouse measures is needed to achieve better control of Campylobacter spp. for this section of the industry. The FSA has indicated that the retail proxy target for the percentage of highly contaminated retail chickens should be less than 7% and while continued monitoring has demonstrated a sustained decline for chickens from major retailer stores, chicken on sale in other stores have yet to meet this target.
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Huang, Ran, Sejin Ha, and Joohyung Park. Gender Differences in Consumer-Retailer Relationship Building via Retail Store Attributes. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-37.

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Ziegler, Alexandre, and Edward Lazear. The Dominance of Retail Stores. Cambridge, MA: National Bureau of Economic Research, June 2003. http://dx.doi.org/10.3386/w9795.

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Delgado-Prieto, Lukas, Andrea Otero-Cortés, and Andrés Calderón. The Impact of Hard Discount Stores on Local Labor Markets: Evidence from Colombia. Banco de la República, April 2024. http://dx.doi.org/10.32468/dtseru.326.

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Hard discount stores (HDS) have changed the dynamics of the traditional retail sector by selling a basket of products at very low prices. This business model has gained significant market share in many countries, but little is known about its impact on the labor market. To fill this gap in the literature, in this paper we study the impact of the entry of hard discounters on local labor markets in Colombia. Making use of the staggered geographic expansion of major discount chains throughout of the main discount chains throughout the country as part of our empirical strategy and using information from different sources, such as administrative records on social security and the administrative records on social security and the GEIH household survey, we analyze the impact of these stores on labor formality and tax collection. Our results show that the arrival of HDS in a municipality increases local formal employment, especially in the retail trade, manufacturing and agriculture sectors. This suggests that there are significant spillover effects from retail to other economic sectors, as most of the goods sold by these stores are local products. As for the informal sector, increased competition between formal and informal traders has no statistical effect on informal employment. However, we do find a decline in labor income and earnings of informal retailers, suggesting that the margin of adjustment is not through lower employment but via lower earnings.
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Jung, Na Young. Retail Service Quality and Service Recovery Quality: A Comparison Between Small and Large Retail Stores. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1788.

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Lueakha, Jureepon, and Anthony Kent. The longevity of fashion retail stores: organization, brand and design. University of Limerick, 2021. http://dx.doi.org/10.31880/10344/10259.

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Hunt, Will, and Jacqueline O'Reilly. Rapid Recruitment in Retail: Leveraging AI in the hiring of hourly paid frontline associates during the Covid-19 Pandemic. Digital Futures at Work Research Centre, March 2022. http://dx.doi.org/10.20919/alnb9606.

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Increased demand due to the Coronavirus pandemic created the need for Walmart to onboard tens of thousands of workers in a short period. This acted as a catalyst for Walmart to bring forward existing plans to update the hiring system for store-level hourly paid associates in its US stores. The Rapid Recruitment project sought to make hiring safer, faster, fairer and more effective by removing in-person interviews and leveraging machine learning and predictive analytics. This working paper reports on a case study of the Rapid Recruitment project involving semi-structured qualitative interviews with members of the project team and hiring staff at five US stores. The research finds that while implementation of the changes had been successful and the changes were largely valued by hiring staff, lack of awareness and confidence in some changes threatened to undermine some of the objectives of the changes. Reservations about the pre-employment assessment and the algorithm’s ability to predict quality hires led someusers reviewing more applications than perhaps necessary and potentially undermining prediction of 90-day turnover. Concerns about the ability to assess candidates over the phone meant that some users had reverted to in-person interviews, raising the riskof Covid transmission and potentially undermining the objective of removing the influence of human bias linked to appearance and other factors unrelated to performance. The impact of awareness and confidence in the changes to the hiring system are discussed in relation to the project objectives
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Lee, Hyun-Jung, and Kyu-Hye Lee. Perceived Retail Crowding, Emotional Distance, and Consumer Response in Fashion Stores. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1764.

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Jung, Na Young. The Relationship Between Service Quality and Service Recovery Quality in Retail Stores. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-409.

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Davis, Lizhu, Hongtao Yue, and Dean Davis. Shopping orientation, store attributes, and apparel retail format preference. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-282.

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