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Journal articles on the topic 'Superstore'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Ahmmed, Kawsar, and Ariel Zoltán Mitev. "Utjecaj fleksibilnosti dobavljača, ovisnosti i povjerenja na ponašajnu lojalnost u velikom trgovačkom lancu:." Ekonomski pregled 75, no. 1 (2024): 86–114. http://dx.doi.org/10.32910/ep.75.1.4.

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The objective of this study is to examine the impact of supplier flexibility, dependence, trust, on behavioral loyalty in the context of the supplier-retail superstore relationship. Taking supplier trust as a mediator, this research built a structural model. Data were collected from the manufacturers of consumer food products in Bangladesh, and hypotheses were tested using structural equation modeling with AMOS. Out of six hypotheses, three are found to be statistically significant. Particularly, supplier flexibility impacts both supplier trust and retail superstore repurchase loyalty, and sup

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Xiao, Wenjian, and Yuanning Gu. "Research on Supermarket Replenishment Pricing Decision Making Based on BP Neural Network and Greedy Algorithm." Journal of Computing and Electronic Information Management 12, no. 2 (2024): 109–14. http://dx.doi.org/10.54097/c4kxoe8z.

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The aim of this paper is to provide strong support for superstores through a data-driven approach. By analyzing and fitting the sales history data of each category and individual product, this paper uses BP-neural network model to predict the sales volume and transforms the replenishment problem into a knapsack problem, so as to plan the future pricing strategy and replenishment volume of the superstore. This helps to optimize the category structure of the superstore, increase the profit margin, reduce the wastage rate, and improve the service quality.

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3

Alam, Mirza Mohammad Didarul, and Nor Azila Mohd Noor. "The Relationship Between Service Quality, Corporate Image, and Customer Loyalty of Generation Y: An Application of S-O-R Paradigm in the Context of Superstores in Bangladesh." SAGE Open 10, no. 2 (2020): 215824402092440. http://dx.doi.org/10.1177/2158244020924405.

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Facing immense competition, retailers across the globe are experiencing reduction in their customer loyalty. This decreasing trend is even more observable in the superstore retailing in Bangladesh; especially whose target market is young cohort (Generation Y [Gen Y]). As a result, it is vital for the superstore owners to ascertain the factors affecting the customer loyalty of Gen Y. The main purpose of this study is to investigate the influence of service quality and corporate image on customer loyalty of Gen Y in the retail superstores of Bangladesh. A total of 325 Gen Y shoppers were surveye

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Kim, Young Doo. "Relationship Between the Manager of a Superstore and the Association of Unit Owners of a Condominium in a Superstore." Korean Institute for Aggregate Buildings Law 53 (February 28, 2025): 103–36. https://doi.org/10.55029/kabl.2025.53.103.

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When a superstore takes the form of a condominium, the overlapping authority between the manager of a superstore and the association of unit owners of the condominium leads to legal conflicts. Article 12, Paragraph 4 of the Distribution Industry Development Act stipulates that matters related to divided ownership shall be governed by the Act on Ownership and Management of Condominium Buildings, while other aspects of superstore maintenance shall be subject to the Distribution Industry Development Act. However, since the concept of “matters related to divided ownership” is not clearly defined,

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Dawson, J. A., A. M. Findlay, and L. Sparks. "Defining the Local Labour Market: An Application of Log-Linear Modelling to the Analysis of Labour Catchment Areas." Environment and Planning A: Economy and Space 18, no. 9 (1986): 1237–48. http://dx.doi.org/10.1068/a181237.

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This study is an attempt to identify key factors which interact with journey-to-work characteristics to determine the delimitation of local labour markets. A case study of superstores is used. The results are useful in formulating expectations for the extent of different labour markets for superstores. This type of information may be of value in assessing the spatial employment impact of a new superstore and thus has important implications for planning decisionmaking.

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Hadyait, M. A., A. Ali, S. Salim, M. Shahzadi, E. M. Bhatti, and U. Pasha. "Heavy metals analysis in some freshwater and marine fish species from markets of Lahore, Pakistan." Agricultural Science and Technology 11, no. 2 (2019): 167–71. http://dx.doi.org/10.15547/ast.2019.02.027.

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Abstract. Muscle portion of 72 fish samples of eight selected species, four from marine (Pampus Chinensis, Otolithes ruber, Trachipteridae and Oncorhynchus tshawytscha) and four from fresh water (Labeo rohita, Catla catla, Rita rita and Walago atu) fishes were collected from three superstores in Lahore, Pakistan. The prepared fish samples were analyzed for determination of Chromium (Cr), Lead (Pb) and Cadmium (Cd) concentrations by using the inductively coupled plasma (PerkinElmer, Model: Optima 7000DV ICP-OES). It was found that Cd (0.294±0.001 mg/kg) concentration was the highest in Labeo ro

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Islam, Nazrul, Sharmina Afrin, Syed Abdullah Al Noman, et al. "Impact of Social Media Marketing on Buying Behaviors of Superstore Customers in Bangladesh." PYC Nepal Journal of Management 14, no. 1 (2021): 57–78. http://dx.doi.org/10.3126/pycnjm.v14i1.41054.

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This study aims at identifying the impact factors of social media marketing on the buying behaviors’ of superstore customers in Bangladesh. Altogether, 291 buyers were surveyed from five superstores of Bangladesh such as, Agora, Meena Bazar, Shwapno, Almas Super Shop, and Nandan. A structured questionnaire with five points Likert scale was used to survey the customers. Descriptive statistics were used to present the profiles of the respondent customers while inferential statistics like Factor Analysis was used to identify the impact factors and Multiple Regression Analysis was used o identify

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8

Mei, Huaping, Jiarong Li, and Chao Pan. "A Decision Model for Pricing and Replenishment of Vegetable Products Based on Lagrangian Function Optimization." Highlights in Science, Engineering and Technology 98 (May 16, 2024): 234–43. http://dx.doi.org/10.54097/pzzbah08.

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In the era of big data, superstores usually replenish and price their products based on the historical sales and demand of each item. Based on data mining, this paper analyzes the correlation between different categories using a gray correlation analysis model, then fits the relationship between total sales and cost-plus pricing for each vegetable category, and uses a time series forecasting model to predict the wholesale price and sales volume of six types of vegetables in the week of July 1st to 7th. By establishing a Lagrangian function-based optimization model with the objective function o

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9

Jia, Wangyi. "Research on pricing and replenishment strategy of superstore goods based on linear regression and gray prediction models." Highlights in Business, Economics and Management 24 (January 22, 2024): 18–24. http://dx.doi.org/10.54097/6eztb071.

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The pricing and replenishment strategy of various commodities in superstores have a significant impact on the revenue. This paper aims to address the automatic decision-making problem for pricing and replenishment of vegetable commodities in superstores. It applies the linear regression model to predict commodity prices, aiming to maximize the revenue of superstores. Additionally, it utilizes the gray prediction model to forecast replenishment volume. Based on marketing data from 2020 to 2023 for vegetable goods at a specific superstore, this study provides the replenishment quantity and prici

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Zhao, Zikai. "A Study on Replenishment Decision of Vegetable Goods Based on Polynomial Regression and Arima Time Series Forecasting." Highlights in Business, Economics and Management 29 (March 29, 2024): 156–63. http://dx.doi.org/10.54097/dxay3d51.

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In a fresh food superstore, the superstore replenishes daily based on the historical sales and demand of vegetable commodities. To formulate the optimal replenishment decision, this paper analyses the sales flow, purchase cost, and loss of a supermarket in a period, and through the use of a variety of models, it can give a reference opinion on the formulation of automatic pricing and replenishment decisions for vegetable commodities. The first text describes the process of analyzing the relationship between total sales volume and cost-plus pricing, including data integration, preprocessing, an

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Ren, Ruyi. "Vegetable Stocking and Pricing Model Based on Time Series Forecasting and Non-linear Programming." Journal of Education, Humanities and Social Sciences 25 (January 26, 2024): 13–20. http://dx.doi.org/10.54097/gdmw0772.

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This study aims to help fresh produce superstores develop vegetable replenishment and pricing strategies to maximize their benefits. By analyzing historical sales records and customer demand, the study used an ARIMA model to predict future demand and a planning model to optimize superstore revenues. The study also analyzed the sales data of 6 major categories and 246 individual types of vegetables and found that flower and leafy vegetables were the most popular in the market. By performing Spearman correlation analysis on the sales volume data, the study obtained the two pairs of vegetable cat

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12

Yang, Shousong, and Cong Yu. "Replenishment and Pricing Strategies for Vegetable Commodities Based on Time Series." Highlights in Business, Economics and Management 51 (February 27, 2025): 77–83. https://doi.org/10.54097/qb25rs61.

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Due to the short freshness period of vegetables, to ensure the freshness of vegetables, commodities should be stocked in superstores to facilitate replenishment pricing. so a reasonable replenishment strategy is crucial to more effectively help superstores around the world to manage inventory, improve sales efficiency, optimize business management and maximize revenue. Based on this, this paper determines the future replenishment as well as pricing strategies of the commodities using the pricing, wastage, and replenishment of vegetables in a superstore for the last three years Goods Sample Thi

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Brazil, Jon. "Dreamtime superstore." Third Text 14, no. 50 (2000): 61–72. http://dx.doi.org/10.1080/09528820008576837.

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Li, Yiyu, Qingjie Xu, Ying Wang, and Bin Liu. "Genetic Algorithms Application for Pricing Optimization in Commodity Markets." Mathematics 12, no. 9 (2024): 1289. http://dx.doi.org/10.3390/math12091289.

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The perishable nature of vegetable commodities poses challenges for superstores, as reselling them is often unfeasible due to their short freshness period. Reliable market demand analysis is crucial for boosting revenue. This study simplifies the pricing and replenishment decision-making process by making reasonable assumptions about the selling time, wastage rate, and replenishment time for vegetable commodities. A single-objective planning model with the objective of profit maximization was constructed by fitting historical data using the nonparametric method of support vector regression (SV

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15

YUSUF, Zulfan. "Effect of Environmental Stimuli and Social Factors Against Impulsive Buying Tendency: Emotions Positive as a Mediation Variable (Case Study on Indomart Consumers in Banda Aceh)." Indonesian Journal Economic Review (IJER) 1, no. 2 (2021): 60–72. http://dx.doi.org/10.35870/ijer.v1i2.47.

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This study aims to analyze the effect of environmental stimuli and social factors against impulsive buying tendency case study on Indomart consumers in Banda Aceh. The data analysis method used in this study was through data quality testing to determine the validity of each question item. Furthermore, hypothesis testing is carried out using the path analysis test tool. Based on the results of the research and discussion, it is known that the conclusions of the study are 1) The influence of environmental stimuli has a significant effect on positive emotions in Indomart Superstore consumers in B

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Fernandez Erik Napitu. "Application Of Sugeno Fuzzy Logic In The Determination Of Employee Incentives." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 1, no. 2 (2022): 142–50. http://dx.doi.org/10.59934/jaiea.v1i2.80.

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Suzuya superstore is one of the marketers of human needs products that have various types of products. Suzuya already has several branches in Indonesia which are located in North Sumatra, Aceh, West Sumatra, and Riau. Suzuya was founded in 1983 and currently suzuya already has more than 22 outlets, one of which is in Pematangsiantar. Suzuya superstore Pematangsiantar has employees who are divided into several teams, one of which is the cashier team. The cashier team is the spearhead of the sale of focus items, where the focus item is the flagship product of suzuya superstore Pematangsiantar. T

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17

Chen, Shan, Yuying Ma, and Qiutong Wu. "Pricing and Replenishment Prediction Model for Vegetable Commodities Based on Mixed Integer Linear Programming Optimization XGBoost." Highlights in Science, Engineering and Technology 93 (May 8, 2024): 388–96. http://dx.doi.org/10.54097/rps0q540.

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In fresh food superstores, the replenishment volume and pricing strategy of vegetables are affected by various factors such as seasonal seasons, supply demand, purchasing costs, and profits of vegetable categories. In this paper, we use the data related to the sales flow details and wholesale prices of each commodity from July 1, 2020 to June 30, 2023 as a dataset, and build a model based on the gradient boosting tree algorithm, XGBoost algorithm [1], to predict the total daily replenishment volume and pricing strategy of each vegetable category in the coming week (July 1-7, 2023) [2]. It is a

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Wang, Zhiyue. "An ARIMA-based study of pricing and replenishment decisions for vegetable commodities." Highlights in Business, Economics and Management 21 (December 12, 2023): 1020–24. http://dx.doi.org/10.54097/hbem.v21i.14867.

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Fresh produce superstores face many challenges as an important part of the livelihood industry. The short freshness period and variable quality make their daily sales efficiency crucial. A simple, efficient and applicable decision model for supermarkets is beneficial to further promote the healthy and sustainable development of the fresh food market and the overall livelihood industry. In order to predict the daily replenishment and pricing strategy of each vegetable category in the coming week, the key lies in analyzing the supermarket's historical data. Since the sales volume shows strong cy

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19

Sigarlaki, F. R., M. L. Rundengan, and J. Pandey. "Analisis pengaruh atribut kemasan terhadap minat beli susu cair Ultra Milk (studi kasus pada konsumen Freshmart Express Airmadidi Superstore)." ZOOTEC 41, no. 2 (2021): 433. http://dx.doi.org/10.35792/zot.41.2.2021.35973.

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Penelitian ini bertujuan untuk menganalisis pengaruh atribut kemasan (warna, gambar, huruf/tipografi, bentuk dan ukuran) terhadap minat beli konsumen susu cair Ultra Milk di Freshmart Express Airmadidi Superstore dan untuk mengetahui atribut kemasan yang paling mempengaruhi minat beli konsumen susu cair Ultra Milk di Freshmart Express Airmadidi Superstore. Penelitian ini dilaksanakan pada bulan Februari 2021 di Freshmart Express Airmadidi Superstore, Kecamatan Airmadidi, Kabupaten Minahasa Utara. Teknik pengumpulan data dalam penelitian ini yaitu menggunakan kuesioner. Pengambilan sampel mengg

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Puspitasari, Dini Yulia, Muhammad Syarif Hidayatullah Elmas, and Tumini Tumini. "Pengaruh Budaya Organisasi, Kepuasan Kerja dan Komitmen Organisasional Terhadap Organizational Citizenship Behavior Pada Karyawan di Delta Superstore Kraksaan." JUMAD : Journal Management, Accounting, & Digital Business 1, no. 5 (2023): 661–70. http://dx.doi.org/10.51747/jumad.v1i5.1448.

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Penelitian ini dikerjakan di Delta Superstore Kraksaan dengan maksud penelitian yang hendak diraih ialah (1) Untuk mencaritahu dampak kebiasaan organisasi, rasa puas kerja serta komitmen organisasional pada organizational citizenship behavior pada pekerja secara parsial di Delta Superstore Kraksaan (2) Untuk mencaritahu dampak kebiasaan organisasi, rasa puas kerja serta komitmen organisasional pada organizational citizenship behavior pada pekerja secara simultan di Delta Superstore Kraksaan (3) Untuk mencaritahu dampak kebiasaan organisasi, rasa puas kerja serta komitmen organisasional pada or

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Sasambe, Greini, James D. D. Massie, and Mirah Rogi. "PENGARUH PRODUK, HARGA, PROMOSI TERHADAP MINAT BELI KONSUMEN DI FRESHMART SUPERSTORE BAHU MANADO TERKAIT PENERAPAN PROTOKOL KESEHATAN DALAM PENCEGAHAN COVID19 (STUDI PADA KONSUMEN FRESHMART SUPERSTORE BAHU MANADO)." Jurnal EMBA : Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi 11, no. 3 (2023): 186–95. http://dx.doi.org/10.35794/emba.v11i3.48358.

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Freshmrat Superstore Bahu Manado adalah pusat pembelanjaan terbesar di Manado, di masa pandemic covid-19 freshmart menetapkan adanya penjualan secara online sehingga masyarakat tidak perlu melakukan pembelian secara langsung. Tujuan penelitian untuk mengetahui pengaruh produk, harga, dan promosi terhadap minat beli konsumen di freshmart superstore bahu manado terkait protocol kesehatan dalam pencegahan covid-19. Penelitian ini menggunakan metode kuantitatif dan uji hipotesis menggunakan regresi linear berganda. sampel yang digunakan accidental sampling suatu metode penentuan sampel dengan meng

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Luo, Yumin. "Research on Pricing and Replenishment Strategies of Fresh Food Supermarkets Based on Support Vector Regression and Backpack Problem Modeling." Frontiers in Business, Economics and Management 11, no. 3 (2023): 231–36. http://dx.doi.org/10.54097/fbem.v11i3.13221.

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With the improvement of people's living standards, fresh produce superstores are gradually favored by consumers. To better meet the market demand and maximize profits, this paper carries out an in-depth study on the pricing and replenishment strategy of vegetable goods. Firstly, data preprocessing is carried out to ensure its validity and accuracy; secondly, sales patterns are revealed through statistical analysis and clustering methods; furthermore, optimization models and support vector regression are used to predict sales strategies; finally, the optimal combination of commodities is screen

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Zhang, Xinyu, Ruixiao Zhang, and Yuan Gao. "Research on Forecasting Vegetable Sales and Prices Based on Time Series Models." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 521–29. http://dx.doi.org/10.54097/ysgh1364.

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Aiming at the characteristics of fresh products that are easy to deteriorate in room temperature environment, superstores need to develop reasonable pricing strategies to improve profitability. This paper analyzes the sales data of vegetables in a superstore, uses Pearson correlation analysis and K-prototype cluster analysis to find the connection between the sales of different categories or different single vegetables, and uses the ARIMR time series forecasting model to forecast the sales and profits of different categories of vegetables. The results show that the ARIMR time-series forecastin

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Glaser, Vicki. "DPI delivers biotechnology superstore." Nature Biotechnology 16, no. 13 (1998): 1302. http://dx.doi.org/10.1038/4262.

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Zhao, Yuyue, Shuyang Guo, and Xinyu Liu. "Vegetable replenishment and pricing model for supermarkets based on BP neural network and planning model." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 432–38. http://dx.doi.org/10.54097/aepre421.

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Vegetable goods in the superstore have high freshness requirements, in order to make the maximum profit under the condition of meeting the market demand, it is necessary to determine the total amount of replenishment as well as the pricing strategy. This paper applies BP neural network to establish a model to get the relationship between vegetable sales and cost-plus pricing. Finally, the objective function is constructed with the maximum profit, and a planning model is established to determine the total amount of replenishment in the coming week and formulate the pricing strategy with the max

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Ma, Xu, Jian Ran, and Feng Xiong. "Research On Pricing and Replenishment of Vegetable Products Based on Time Series Prediction." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 55–62. http://dx.doi.org/10.54097/931g8t12.

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Based on the commodity information, sales data, and recent loss rate of wholesale price commodities of vegetable categories provided by the superstore, this paper focuses on the relationship between vegetable categories and individual products and the prediction of sales volume in the next seven days. Firstly, the distribution pattern and interrelationship of the sales volume of each category and single product of vegetables were analyzed using data analysis and visualization techniques, and the specific size of the correlation of each category and single product was obtained. Secondly, the AR

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Feng, Ruohan, Huacheng Zhu, Luyao Zhang, and Yiping Song. "Research on replenishment decision of vegetable commodities based on genetic algorithm." Highlights in Science, Engineering and Technology 70 (November 15, 2023): 505–12. http://dx.doi.org/10.54097/hset.v70i.13933.

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Fresh produce superstores, are an important component of the modern economy, however, they face multiple challenges in vegetable merchandise management, including how to forecast accurate sales trends, develop reasonable pricing strategies, and effective replenishment programs. Therefore, this study aims to provide a comprehensive set of vegetable merchandising strategies for superstores to help them better solve their problems. Firstly, this paper constructs an integrated fitting model to fit a polynomial function to each single vegetable item; secondly, taking amaranth as an example, it cons

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Wooten, Jadrian, and Brian Lynch. "Teaching with Superstore." Journal of Economic Education 53, no. 2 (2022): 196. http://dx.doi.org/10.1080/00220485.2022.2038323.

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Dandy, Dandy, and Rino Rino. "Implementation of Business Intelligence in Data Superstore Sales with Online Analytical Processing Method." bit-Tech 3, no. 2 (2021): 44–50. http://dx.doi.org/10.32877/bt.v3i2.182.

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Transaction data in superstore sales data are very useful for company development, can be used to describe and forecast or predict future sales transaction data and to study the past about business opportunities and challenges. The use of Business Intelligence (BI) technology can help analyze large amounts of data, in addition, BI is a powerful tool for quality analysis and company analysis. This study designed an information system using the BI approach to analyze transaction data on superstore sales data. The research focus is on report data, namely superstore sales data regarding sales tran

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Gayatri, Behere, Jangale Sagar, and Gupta Krishna. "A Case Study on Sales of Different Products of a Superstore." APPLIED SCIENCE PERIODICAL XXV, no. 1, February 2023 (2023): 1–5. https://doi.org/10.5281/zenodo.7733454.

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               This study is done to predict the sales of products in superstore, for the companies to help them in planning  future demand for the products in particular areas, cities, regions, etc.               In this case, superstore data of US has been used for the study to understand the customers and their needs.                Certain visualizations are done in order to understand the behaviors of the sales data according to the situation and customer’s interes

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Chang, Xiaoxiao. "Research on Superstore Vegetable Pricing and Replenishment Prediction Based on ARIMA Time Series and Particle Swarm Algorithm." Highlights in Science, Engineering and Technology 94 (April 26, 2024): 572–79. http://dx.doi.org/10.54097/q816zt97.

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With the development of digitalization, it is important to provide accurate and reasonable pricing and replenishment strategies for superstores through market demand and data information. In this paper, we first preprocess the relevant data and draw line graphs to compare the correlation between multiple individual items through Spearman correlation analysis. Secondly, Random Forest feature importance analysis is used to explore the relationship between total sales and cost-plus pricing of each vegetable category, and finally, the target data are tested for grade ratio and a gray model is cons

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Ogala, Egbunu. "Implementing Automated Bots Across Retail Shopping Management with an Example of SPAR Ikeja, Nigeria." American Journal of Management Science and Engineering 10, no. 3 (2025): 45–57. https://doi.org/10.11648/j.ajmse.20251003.11.

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Effective logistics is critical for superstores to ensure the right products reach shelves in response to customer demand. SPAR Nigeria Ltd., operating under a franchise from its South African parent company, serves a high volume of customers, necessitating reliable and authentic product availability. To address this, SPAR has established an integrated warehouse within its superstore locations, enabling direct restocking without an advanced Warehouse Management System (WMS). This paper examines efficient and safe replenishment techniques that minimize reliance on heavy machinery such as forkli

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Iamsomboon, Nuttakit, Surasak Jotaworn, Wanjai Lamprom, Pimnapat Bhumkittipich, and Issara Siramaneerat. "WASTEWATER MANAGEMENT AND APPLICATION TO COMPOST FOR URBAN FARMING." Water Conservation & Management 8, no. 2 (2023): 164–70. https://doi.org/10.26480/wcm.02.2024.164.170.

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While restaurants and households discharge wastewater into public sewers and rivers for many years, however, some sludge contains rich organic matter and some contains poor nutrition. To increase the sludge quality, especially oil and grease from wastewater treatment plants, co-compost with food waste should be experimented. The “Wastegetable” project of Bangkok Rooftop Farming Company on the Center One Superstore building was a social innovation to solve environmental problems. They convert the food waste to organic compost for growing organic vegetables. Thus, this research aims to study the

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Rowley, Gwyn. "British Superstore Retailing Database: A Rejoinder." Transactions of the Institute of British Geographers 15, no. 2 (1990): 240. http://dx.doi.org/10.2307/622869.

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Hartung, William D. "Welcome to the U.S. Arms Superstore." Bulletin of the Atomic Scientists 49, no. 7 (1993): 20–26. http://dx.doi.org/10.1080/00963402.1993.11456382.

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Freathy, Paul. "Developments in the Superstore Labour Market." Service Industries Journal 13, no. 1 (1993): 65–79. http://dx.doi.org/10.1080/02642069300000004.

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Eglese, R. W., A. Mercer, and B. Sohrabi. "The grocery superstore vehicle scheduling problem." Journal of the Operational Research Society 56, no. 8 (2005): 902–11. http://dx.doi.org/10.1057/palgrave.jors.2601907.

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Liu, Weilin, and Bowen Wu. "A Study on Autonomous Pricing and Replenishment Decision of Vegetable Commodities Based on Gray Time Series Forecasting and Single-Objective Planning Models." Highlights in Science, Engineering and Technology 70 (November 15, 2023): 529–37. http://dx.doi.org/10.54097/hset.v70i.13950.

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Automated pricing and replenishment of vegetable items is one of the hot issues of the new era. In order to make replenishment decisions on the day's vegetable goods for superstores, this paper first constructs a nonlinear regression model to fit the function of vegetable category pricing and daily sales volume, and finds that the two have a negative correlation; Second, this paper predicts the cost of each category of vegetables for the coming week by building a gray time series prediction model; Finally, this paper takes the pricing of different categories on different dates as the decision

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Bernard, Sophie. "Internal Promotion in the Superstore Sector : The End of a Myth ?" Revue française de sociologie (English) Vol. 53, no. 2 (2012): 180–209. http://dx.doi.org/10.3917/rfsen.532.0180.

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Focusing on the case of the superstore sector, this article sheds light on the sources of dedication to work and the contradictory dynamics operating in the world of work today. At precisely the moment that companies are demanding considerable employee commitment, they possess fewer and fewer resources to engender it. Superstores are emblematic of this paradox, organised as they are according to “just in time” and “zero inventory” principles, which require intense dedication from store staff amounting to total working time flexibility. The incentive model promoted in the sector is to promise e

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Yu, Feifan, Lei You, Xinyue Han, et al. "Study on Pricing and Replenishment Decision of Vegetable Products Based on SARIMA Model." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 1379–86. http://dx.doi.org/10.62051/qex0yt47.

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In fresh food superstores, vegetable commodities are characterized by a short shelf life and deterioration in quality over time. To meet market demand and profit, merchants usually sell vegetables with shipping losses and deteriorating quality at a discount. Therefore, the pricing and replenishment strategies of vegetables have an important impact on the profit maximization of fresh produce superstores. The aim of this paper is to reveal the patterns by processing and analyzing the past sales data. The distribution pattern between different categories of vegetables is obtained through Pearson'

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Cui, Haoxiang. "Innovative Research on Pricing and Replenishment Decision Making of Vegetable Commodities Based on ARIMA Prediction Modeling." Highlights in Business, Economics and Management 20 (November 30, 2023): 542–48. http://dx.doi.org/10.54097/hbem.v20i.13042.

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The pricing of vegetables in modern fresh produce superstores is generally based on the "cost-plus pricing" method, and reliable market demand analysis is particularly important for replenishment and pricing decisions. Against this background, this paper provides a complete set of vegetable merchandising strategies for supermarkets. Firstly, we detect and analyze the purchase data, study the relationship between the sales volume, visualize the sales volume data, and calculate the correlation between the sales volume of each category and individual product by using Pearson's algorithm and Spear

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Wang, Kaile, Keming Su, and Hao Li. "Random Forest-Based Restocking and Pricing Prediction for Vegetable Items." Frontiers in Business, Economics and Management 11, no. 2 (2023): 352–56. http://dx.doi.org/10.54097/fbem.v11i2.12638.

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The intolerance to storage of vegetable commodities in supermarkets makes automatic pricing and replenishment decisions for vegetable commodities particularly important. This paper takes the measured data of a superstore as an example to formulate a set of effective pricing and replenishment decisions for vegetable commodities, which is a comprehensive consideration to ensure the balance of supply and demand, and to reduce the losses of the superstore and the loss rate of commodities. First of all, the sales of each category and single product in different time periods were counted, and the Pe

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Mendrofa, Krisnawati, Emanuel Zebua, Eliagus Telaumbanua, and Meiman Waruwu. "PERANAN BRAND AWARANESS DAN STRATEGI MARKETING MIX MENINGKATKAN KEPUTUSAN PEMBELIAN KONSUMEN." Jurnal Suluh Pendidikan 12, no. 1 (2024): 90–98. https://doi.org/10.36655/jsp.v12i1.1530.

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Penelitian ini dilatar belakangi dengan persaingan bisnis yang semakin ketat, peran brand awareness (kesadaran merek) dan strategi marketing mix dalam meningkatkan keputusan pembelian konsumen menjadi sangat penting bagi kelangsungan dan kesuksesan sebuah perusahaan. Jenis penelitian yang digunakan dalam penelitian ini adalah deskriptif dengan pendekatan kualitatif, metode pengumpulan data kualitatif yaitu wawancara dan dokumentasi. Variabel penelitian yang digunakan dalam penelitian ini adalah : Marketing Mix dengan indikator yaitu produk, harga, tempat, promosi dan Keputusan pembelian dengan

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Mahfuza, Rezwana, Nafisa Islam, Md Toyeb, Md Asaduzzaman Faisal Emon, Shahnur Azad Chowdhury, and Md Golam Rabiul Alam. "LRFMV: An efficient customer segmentation model for superstores." PLOS ONE 17, no. 12 (2022): e0279262. http://dx.doi.org/10.1371/journal.pone.0279262.

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The Recency, Frequency, and Monetary model, also known as the RFM model, is a popular and widely used business model for determining beneficial client segments and analyzing profit. It is also recommended and frequently used in superstores to identify customer segments and increase profit margins. Later, the Length, Recency, Frequency, and Monetary model, also known as the LRFM model, was introduced as an improved version of the RFM model to identify more relevant and exact consumer groups for profit maximization. Superstores have a varying number of different products. In RFM and LRFM models,

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Pan, Zhenshen. "An Optimization Study of Pricing Strategies for Vegetable Category Based on Seasonal ARIMA Model with Linear Regression." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 87–94. http://dx.doi.org/10.54097/03q06710.

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Different categories of vegetables have different growth cycles, seasonal supply variations, and price fluctuations. Supermarkets need to consider these factors when making replenishment and pricing decisions in order to maximise revenue while meeting market demand. In this paper, replenishment and pricing decisions are made based on the historical sales data of the superstore, using a linear regression model and then predicting future sales based on a seasonal ARIMA model. A new mathematical model about pricing and an optimization model with the objective of maximising the revenue of the supe

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Yanti, Vera, Danny Ong, and Devy Sofyanty. "ANALYSIS OF THE EFFECT OF LOCATION ON CONSUMER BEHAVIOR SHOPPING (Case study : At Grandlucky Superstore Jakarta)." Advances in Social Sciences Research Journal 8, no. 8 (2021): 99–104. http://dx.doi.org/10.14738/assrj.88.10611.

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This Study to determine the effect of lovation on Consumer Shopping Behaviour of Grandlucky Superstore Jakarta. The formulation of the problem in this study is whether there is an influence between the location of consumer shopping behavior at grandlucky Superstore Jakarta . The Population in this study were consumers at Grandlucky Superstore Jakarta , the determination of the number of samples using the slovin formula obtained a sample of 50 people. The variables examined in this study consisted of location factors as independent variables and consumer behaviour as dependent variables. The da

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Price, D. G. "Data Bases and Superstore Development: A Comment." Transactions of the Institute of British Geographers 10, no. 3 (1985): 377. http://dx.doi.org/10.2307/622185.

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Horvath, Stephen. "The rise of the book chain superstore." Logos 7, no. 1 (1996): 39–45. http://dx.doi.org/10.2959/logo.1996.7.1.39.

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Urban, David J., George E. Hoffer, and Michael D. Pratt. "The used‐vehicle superstore: a flawed concept." Journal of Consumer Marketing 17, no. 5 (2000): 420–38. http://dx.doi.org/10.1108/07363760010341063.

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In the early 1990s, several new entrants extended “category‐killer, big‐box” retailing concepts to the marketing of used vehicles. Despite promise, each entrant has either exited the market or changed its business plan. Based on both primary and secondary data, the authors find that, although the superstore maintains some advantages over traditional used‐vehicle retailers, it has cost disadvantages over the traditional retailer. These findings on both the demand and the supply side of the business explain the observed market failures.

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Dawson, John A., Anne M. Findlay, and Leigh Sparks. "Opportunities for Female Employment in Superstore Retailing." Equal Opportunities International 6, no. 1 (1987): 1–5. http://dx.doi.org/10.1108/eb010460.

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