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Journal articles on the topic 'Retailer segmentation'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Imanuel, Dennis Alfa, and Ganjar Alfian. "Visualisasi Segmentasi Pelanggan Berdasarkan Atribut RFM Menggunakan Algoritma K-Means Untuk Memahami Karakteristik Pelanggan pada Toko Retail Online." Jurnal Teknologi Informasi dan Ilmu Komputer 12, no. 2 (2025): 283–92. https://doi.org/10.25126/jtiik.1228619.

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Meningkatnya minat belanja pelanggan toko retail online menimbulkan persaingan ketat antar retailer. Agar tetap unggul dan kompetitif, retailer perlu memahami karakteristik pelanggannya. Penerapan segmentasi pelanggan memberikan kemudahan pada retailer untuk memahami karakteristik pelanggan berdasarkan penilaian pada atribut yang dihitung dari data riwayat transaksi pelanggan. Hasil segmentasi pelanggan yang divisualisasikan dapat meningkatkan pemahaman retailer dalam memahami data dan membantu dalam proses pengambilan keputusan. Oleh karena itu, penelitian ini mengusulkan Visualisasi Segmenta

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Imanuel, Dennis Alfa, and Ganjar Alfian. "Visualisasi Segmentasi Pelanggan Berdasarkan Atribut RFM Menggunakan Algoritma K-Means Untuk Memahami Karakteristik Pelanggan pada Toko Retail Online." Jurnal Teknologi Informasi dan Ilmu Komputer 12, no. 2 (2025): 283–92. https://doi.org/10.25126/jtiik.2025128619.

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Meningkatnya minat belanja pelanggan toko retail online menimbulkan persaingan ketat antar retailer. Agar tetap unggul dan kompetitif, retailer perlu memahami karakteristik pelanggannya. Penerapan segmentasi pelanggan memberikan kemudahan pada retailer untuk memahami karakteristik pelanggan berdasarkan penilaian pada atribut yang dihitung dari data riwayat transaksi pelanggan. Hasil segmentasi pelanggan yang divisualisasikan dapat meningkatkan pemahaman retailer dalam memahami data dan membantu dalam proses pengambilan keputusan. Oleh karena itu, penelitian ini mengusulkan Visualisasi Segmenta

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Che, Pak Hou, and Yue Chen. "Probabilistic Selling with Unsealing Strategy: An Analysis in Markets with Vertical-Differentiated Products." Mathematics 13, no. 12 (2025): 2036. https://doi.org/10.3390/math13122036.

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Probabilistic selling is a retail strategy in which consumers purchase products without knowing their exact identities until after purchase, with various applications like gaming and retail; a real-world practice involves retailers may unsealing and reselling goods to meet consumer demand for transparency. This disrupts manufacturers’ strategies designed to adopt the uncertainty for segmentation and pricing. Using a vertically differentiated supply chain model structured as a Stackelberg game framework, this study examines how transparency from retailer unsealing affects profitability, consume

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Prasetya, Prita, Mukhamad Najib, and Febrina Mahliza. "Retailer Segmentation as A Strategy for B2B Marketing using A Two-Level Clustering Analysis." Kajian Branding Indonesia 4, no. 1 (2022): 33–46. http://dx.doi.org/10.21632/kbi.4.1.33-46.

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This paper aims to explore the possibility of identifying retailer segments. Data is the foundation of segmentation that helps identify the critical value drivers, select the appropriate engagement level and decide the retailer engagement. This study proposes a new approach that considers two-stage clustering for retailer segmentation and behavioural analysis among building materials companies in Indonesia. The alignment could provide a practical managerial approach to finding competitive advantage and a better understanding of sales opportunities. Retailer segmentation can be done differently

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Ghea, Sekar Palupi, and Noor Fakhruzzaman Muhammad. "Indonesian pharmacy retailer segmentation using recency frequency monetary-location model and ant K-means algorithm." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6132–39. https://doi.org/10.11591/ijece.v12i6.pp6132-6139.

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We proposed an approach of retailer segmentation using a hybrid swarm intelligence algorithm and recency frequency monetary (RFM)-location model to develop a tailored marketing strategy for a pharmacy industry distribution company. We used sales data and plug it into MATLAB to implement ant clustering algorithm and K-means, then the results were analyzed using RFM-location model to calculate each clusters’ customer lifetime value (CLV). The algorithm generated 13 clusters of retailers based on provided data with a total of 1,138 retailers. Then, using RFM-location, some clusters were com

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Qi, Guohu, Xuemei Zhang, Jiawei Hu, and Haoran Chen. "Decision and Coordination of an O2O Supply Chain With Market Segmentation and Showrooming Effect." International Journal of Information Systems and Supply Chain Management 15, no. 1 (2022): 1–42. http://dx.doi.org/10.4018/ijisscm.287129.

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This paper investigates impacts of market segmentation and showrooming effect on the decision-making of an O2O supply chain, and puts forwards a contract to coordinate the O2O supply chain. Results show that, the showrooming effect is beneficial to the manufacturer, retailer and the supply chain, and the retailer will offer offline showrooming service. Under the influence of market segmentation, O2O supply chain is not necessarily better than single-channel supply chain structure. But adopting advertising and other means to improve consumers’ online channel acceptance, it can realize transform

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Palupi, Ghea Sekar, and Muhammad Noor Fakhruzzaman. "Indonesian pharmacy retailer segmentation using recency frequency monetary-location model and ant K-means algorithm." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6132. http://dx.doi.org/10.11591/ijece.v12i6.pp6132-6139.

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<span lang="EN-US">We proposed an approach of retailer segmentation using a hybrid swarm intelligence algorithm and recency frequency monetary (RFM)-location model to develop a tailored marketing strategy for a pharmacy industry distribution company. We used sales data and plug it into MATLAB to implement ant clustering algorithm and K-means, then the results were analyzed using RFM-location model to calculate each clusters’ customer lifetime value (CLV). The algorithm generated 13 clusters of retailers based on provided data with a total of 1,138 retailers. Then, using RFM-location, som

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Seifbarghy, Mehdi, Khashayar Nouhi, and Amin Mahmoudi. "Contract design in a supply chain considering price and quality dependent demand with customer segmentation." International Journal of Production Economics 167 (September 29, 2015): 108–18. https://doi.org/10.1016/j.ijpe.2015.05.004.

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We consider a two-level supply chain consisting of a manufacturer and a retailer. The retailer gives a final product to a competitive market with customer sensitive to price. The customer demand is assumed to be constant depending on the price and quality degree of the final product. The manufacturer decides on the quality degree of the product. The optimal values of the major decision variables of the chain are determined for different conditions. The supply chain in centralized condition is considered and the optimal values of the price and the quality degree are found. Chain profit in decen

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Jenita, J., Agarwal Yash, Ashok Vishwakarma Yash, Reddy Akhil, and Arifulla. "Customer Segmentation in e-Commerce using ML." Research and Applications of Web Development and Design 6, no. 1 (2023): 1–10. https://doi.org/10.5281/zenodo.7602301.

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<em>Many small online outlets and newcomers to the online retail territories are keen to record and promote the shopper-centric stores, but technically lack the know-how and information needed to do so. doing. This article provides his case study on the use of information mining strategies in customer-centric business intelligence for an online retailer. The primary purpose of this assessment is to help the company better understand its customers and, as a result, make its customer-centric advertising and her marketing more efficient. Under the assumptions of recency, frequency, and economic v

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Urbonavičius, Sigitas, and Robertas Ivanauskas. "Segmentation of Multiple Retailers' Clients on the Basis of Shopping Occasions." Business: Theory and Practice 7, no. (1) (2006): 37–44. https://doi.org/10.3846/btp.2006.06.

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Rapid development of a retailing sector and the emergence of multiple retailers (also called chain stores or chains of stores) significantly increased the power of retailers over other members of products distribution channels. Large retailers, and especially chain stores become more and more independent from manufacturers and suppliers, take over the functions of wholesalers, make orders for manufacturing private label (or store brand) products, take part in product manufacturing processes. The implementation of modern information technologies enables multiple retailers to manage information

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B. Büttner, Oliver, Arnd Florack, and Anja S. Göritz. "Shopping orientation as a stable consumer disposition and its influence on consumers’ evaluations of retailer communication." European Journal of Marketing 48, no. 5/6 (2014): 1026–45. http://dx.doi.org/10.1108/ejm-04-2012-0210.

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Purpose – The present aims to examine whether interindividual differences in consumers’ shopping orientations reflect a stable consumer disposition (i.e. chronic shopping orientation; CSO). Furthermore, it examines whether this disposition influences consumers’ evaluations of retailer communication. Consumers may shop under an experiential or a task-focused shopping orientation. Design/methodology/approach – This research builds on four studies; three were conducted online and one was conducted in the laboratory. Study 1 applied a longitudinal design, Studies 2 and 3 applied a cross-sectional

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Gawor, Tobias, and Kai Hoberg. "Customers’ valuation of time and convenience in e-fulfillment." International Journal of Physical Distribution & Logistics Management 49, no. 1 (2019): 75–98. http://dx.doi.org/10.1108/ijpdlm-09-2017-0275.

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PurposeThe purpose of this paper is to derive monetary benchmarks and managerial implications for omni-channel retailers’ B2C e-fulfillment strategies by investigating the trade-offs between lead time, delivery convenience and total price including shipment in the context of online electronics retailing.Design/methodology/approachBased on a choice-based conjoint analysis among 550 US online shoppers, the monetary values of lead time and convenience were calculated in a log-log regression model. In addition, latent class segmentation was applied to identify consumer segments according to their

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Cortiñas, Monica, Raquel Chocarro, and Margarita Elorz. "Omni-channel users and omni-channel customers: a segmentation analysis using distribution services." Spanish Journal of Marketing - ESIC 23, no. 3 (2019): 415–36. http://dx.doi.org/10.1108/sjme-06-2019-0031.

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Purpose Consumers are increasingly combining distribution channels, thus displaying so-called omni-channel behavior, both to complete a given purchase and between purchases. The authors make a distinction between omni-channel customers, who make use of distribution services in both channels and omni-channel users, who make partial use of the distribution services of one channel to support purchases in another. This paper aims to identify the omni-channel behavior among the customers of a global fast fashion retailer dealing in a wide range of apparel and clothing accessories. Design/methodolog

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TKATCHUK, S.V., S.A. STAKHURSKA, and V.O. STAKHURSKIY. "Formation of STP– marketing strategy in the field of retail services." Market Relations Development in Ukraine №3(238)2021 113 (June 18, 2021): 76–82. https://doi.org/10.5281/zenodo.4980218.

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Relevance of research. In modern conditions, the formation of a valuable offer for customers is becoming increasingly important, which will allow to gain a stable competitive advantage and stay firmly in the market. The retail market is developing rapidly, undergoing changes under the influence of the external environment. In particular, customer requirements are growing, which are differentiated depending on the combination of social, economic, psychographic and other characteristics of the segments. This necessitates the formation of proposals focused «clearly on purpose», ie tho

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Ailawadi, Kusum L., Scott A. Neslin, Y. Jackie Luan, and Gail Ayala Taylor. "Does retailer CSR enhance behavioral loyalty? A case for benefit segmentation." International Journal of Research in Marketing 31, no. 2 (2014): 156–67. http://dx.doi.org/10.1016/j.ijresmar.2013.09.003.

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Callard, Cynthia D., and Neil Collishaw. "Cigarette pricing 1 year after new restrictions on tobacco industry retailer programmes in Quebec, Canada." Tobacco Control 28, no. 5 (2019): 562–65. http://dx.doi.org/10.1136/tobaccocontrol-2018-054516.

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ObjectivesOver the past 15 years, tobacco companies operating in Canada abandoned their long-standing unitary price model in favour of price differentiation. Concerns about low cigarette prices were identified by the Quebec government in 2015 when it introduced restrictions on the types of incentives that tobacco manufacturers may offer to retailers. This study sought to explore cigarette prices in Quebec 1 year after these restrictions came into effect.MethodsDetails on cigarette trading terms and programmes were obtained from websites maintained by retailer groups. Visits were made to tobacc

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De Marco, Marco, Paolo Fantozzi, Claudio Fornaro, Luigi Laura, and Antonio Miloso. "Cognitive analytics management of the customer lifetime value: an artificial neural network approach." Journal of Enterprise Information Management 34, no. 2 (2021): 679–96. http://dx.doi.org/10.1108/jeim-01-2020-0029.

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PurposeThe purpose of this study is to show that the use of CAM (cognitive analytics management) methodology is a valid tool to describe new technology implementations for businesses.Design/methodology/approachStarting from a dataset of recipes, we were able to describe consumers through a variant of the RFM (recency, frequency and monetary value) model. It has been possible to categorize the customers into clusters and to measure their profitability thanks to the customer lifetime value (CLV).FindingsAfter comparing two machine learning algorithms, we found out that self-organizing map better

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Ullah, Asmat, Muhammad Ismail Mohmand, Hameed Hussain, et al. "Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time." Sensors 23, no. 6 (2023): 3180. http://dx.doi.org/10.3390/s23063180.

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Customer segmentation has been a hot topic for decades, and the competition among businesses makes it more challenging. The recently introduced Recency, Frequency, Monetary, and Time (RFMT) model used an agglomerative algorithm for segmentation and a dendrogram for clustering, which solved the problem. However, there is still room for a single algorithm to analyze the data’s characteristics. The proposed novel approach model RFMT analyzed Pakistan’s largest e-commerce dataset by introducing k-means, Gaussian, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) beside agglo

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Youn, Cho Rong, Hye Jung Jung, and Yu Ri Lee. "Adolescent Consumer Segmentation According to Retailer Patronage in the School Uniform Market." International Journal of Costume and Fashion 10, no. 1 (2010): 81–91. http://dx.doi.org/10.7233/ijcf.2010.10.1.081.

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KANCA, Samet, Tuncay ÖZCAN, and Yakup ÇELİKBİLEK. "Customer Segmentation Analysis Based on RFM for The Customers of A Retailer." Journal of International Scientific Researches 8, no. 3 (2023): 393–409. http://dx.doi.org/10.23834/isrjournal.1339753.

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Günümüzde teknolojinin gelişimi ile birçok sektörde olduğu gibi perakende sektöründe de gelişim ve dijital dönüşüm yaşanmaktadır. Bu çalışma, teknolojinin hızla geliştiği ve veri biliminin her sektörde önem kazandığı bir dönemde, perakende sektöründe müşteri segmentasyonunun önemini vurgulamaktadır. Özellikle tekstil perakendeciliği alanında, müşteri satın alma davranışlarının doğru bir şekilde analiz edilmesi ve segmente edilmesi, işletmelerin müşteri ilişkilerini yönetme ve pazarlama stratejilerini belirleme süreçlerinde kritik bir rol oynamaktadır. Bu çalışma, bir tekstil perakendecisinin m

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Li, Chunmei, Tianjian Yang, and Ying Shi. "Blockchain Adoption and Organic Subsidy in an Agricultural Supply Chain Considering Market Segmentation." Mathematics 12, no. 1 (2023): 106. http://dx.doi.org/10.3390/math12010106.

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The quality authenticity of organic agricultural products has always been a hot issue for consumers. Blockchain’s advantages in information traceability and preventing data from being tampered with can reduce fake and counterfeit products, increasing the consumers’ trust in the quality of organic agricultural products. Considering market segmentation of consumer types in organic agricultural products (OPs) and conventional agricultural products (CPs), this study builds a game-theoretical model to explore how participants decide between blockchain traceability platforms and organic subsidy stra

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Xin, Chong, Yunzhu Zhou, Xiaochen Zhu, Lin Li, and Xin Chen. "Optimal Decisions for Carbon Emission Reduction through Technological Innovation in a Hybrid-Channel Supply Chain with Consumers’ Channel Preferences." Discrete Dynamics in Nature and Society 2019 (January 1, 2019): 1–24. http://dx.doi.org/10.1155/2019/4729358.

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This paper integrates carbon emission reduction via technological innovation with consumer channel preferences in both single- and dual-channel supply chains selling low-carbon products. Linear demand functions which simultaneously reflect the consumers’ channel preferences and low-carbon sensitivity are developed by considering the consumers’ segmentation. On this basis, we present two Stackelberg game models: one for each of the single- and dual-channel supply chains. In the first, the manufacturer sells low-carbon products through a traditional retailer who has a physical store, while in th

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Jackson, Ilya. "AutoML Approach to Stock Keeping Units Segmentation." Journal of Theoretical and Applied Electronic Commerce Research 17, no. 4 (2022): 1512–28. http://dx.doi.org/10.3390/jtaer17040076.

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A typical retailer carries 10,000 stock-keeping units (SKUs). However, these numbers may exceed hundreds of millions for giants such as Walmart and Amazon. Besides the volume, SKU data can also be high-dimensional, which means that SKUs can be segmented on the basis of various attributes. Given the data volumes and the multitude of potentially important dimensions to consider, it becomes computationally impossible to individually manage each SKU. Even though the application of clustering for SKU segmentation is common, previous studies do not address the problem of parametrization and model fi

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Yang, Kai Hao. "Selling Consumer Data for Profit: Optimal Market-Segmentation Design and Its Consequences." American Economic Review 112, no. 4 (2022): 1364–93. http://dx.doi.org/10.1257/aer.20210616.

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A data broker sells market segmentations to a producer with private cost who sells a product to a unit mass of consumers. This paper characterizes the revenue-maximizing mechanisms for the data broker. Every optimal mechanism induces quasi-perfect price discrimination. All the consumers with values above a cost-dependent cutoff buy by paying their values while the rest of consumers do not buy. The characterization implies that market outcomes remain unchanged even if the data broker becomes more powerful—either by gaining the ability to sell access to consumers or by becoming a retailer who pu

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Rubio, Natalia, Nieves Villaseñor, and Maria Jesús Yagüe. "Customer’s loyalty and trial intentions within the retailer: the moderating role of variety-seeking tendency." Journal of Consumer Marketing 36, no. 5 (2019): 620–32. http://dx.doi.org/10.1108/jcm-10-2017-2391.

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Purpose The purpose of this paper is to introduce the concept of customer’s value to the retailer (CVR) from a marketing perspective. CVR is a broad concept that has two components: loyalty intentions to the retailer and intentions to try new products or brands that the retailer offers. This study proposes a theoretical model and considers the effect of three sources of CVR in consumer goods retailing: customer’s perceived functional service value, customer’s perceived private label brand (PLB) equity and customer’s perceived relationship value. The effects of the proposed antecedents are appl

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Nusrat Fatima, Ayesha. "The Role of Data Analytics in Customer Behavior Analysis and Market Strategy Optimization (A Case Study)." International Journal of Information Technology and Computer Science Applications 3, no. 1 (2025): 25–32. https://doi.org/10.58776/ijitcsa.v3i1.176.

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In the highly competitive global retail market, understanding customer behavior is essential for sustained business growth and strategic decision-making. Stellar Peak Sports & Adventure, a multinational retailer specializing in sports and outdoor products, is facing operational challenges due to a lack of deep customer insights. This deficiency has resulted in inefficiencies in marketing strategies, inventory management, and overall business performance. To address these issues, the company has enlisted the expertise of a business analyst to conduct a comprehensive customer analysis. This

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CHAN, C. "Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer." Expert Systems with Applications 34, no. 4 (2008): 2754–62. http://dx.doi.org/10.1016/j.eswa.2007.05.043.

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Marshall, Guillermo. "Hassle Costs and Price Discrimination: An Empirical Welfare Analysis." American Economic Journal: Applied Economics 7, no. 3 (2015): 123–46. http://dx.doi.org/10.1257/app.20130046.

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This paper studies a market where soda is sold in both refillable and nonrefillable bottles. Purchasing refillables is inconvenient but cheaper. Using a discrete choice model, I find that price-sensitive customers put less weight on the inconveniences of purchasing refillables. This implies that a retailer can target lower prices to price-sensitive customers using the refillable segment. I evaluate the overall welfare consequences of this market segmentation and find that both customer welfare and profits would decrease (by 12.61 and 4.21 percent, respectively) if the refillables were removed,

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Ruiz-Molina, Maria Eugenia, Miguel-Ángel Gómez-Borja, and Alejandro Mollá-Descals. "Can offline–online congruence explain online loyalty in electronic commerce?" International Journal of Retail & Distribution Management 49, no. 9 (2021): 1271–94. http://dx.doi.org/10.1108/ijrdm-02-2020-0060.

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PurposeOne key issue to be addressed in multichannel retailing strategies has to do with ensuring the consistency of the retailer offerings between the brick-and-mortar and the online stores to offer their customers a seamless experience. This study assesses whether perceived congruence may be relevant to identify segments of heterogeneous based on their online loyalty levels as well as other constructs and variables related to the customer relationship with the retailer for two different product categories.Design/methodology/approachFrom the responses of apparel and electronics multichannel s

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Bauerová, Radka, Halina Starzyczná, and Šárka Zapletalová. "WHO ARE ONLINE GROCERY SHOPPERS?" E+M Ekonomie a Management 26, no. 1 (2023): 186–205. http://dx.doi.org/10.15240/tul/001/2023-1-011.

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The acceleration of the digitalisation of grocery shopping is an important trend that shows that this way of sourcing groceries is increasingly accepted by customers. Uncovering, understanding, and describing the differences between online grocery shoppers is interesting from a scientific point of view and a practical one. Correctly targeting a specific customer segment increases the very effectiveness of marketing communication by spending the cost of communicating with those correctly targeted customers that are valuable to the company. Therefore, this paper explores the behaviour of custome

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Kumar, Dinesh. "In Traditional Retailing: SCM (An Optimized Hybrid Architecture)." International Journal on Recent and Innovation Trends in Computing and Communication 6, no. 12 (2018): 37–40. http://dx.doi.org/10.17762/ijritcc.v6i12.5293.

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Brick and Mortar Retailing, generally known as Traditional Retailing is facing stiff competition from a variety of sources. Not only has it to be competitive in terms of on-shelf availability of products on a wide range of products but also has to balance many factors such as optimization of inventory and warehousing, profiling for distribution centre layout and process design, inventory segmentation and partnerships, network location and order sourcing, etc. which have a direct impact on the cost to the end consumer. While many techniques such as distribution centre (DC) bypass and cross dock

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Luk, Sherriff T. K., Ivy Siok Ngoh Chen, and John Coombes. "Skyworth TV: channel dynamics and growth in China's rural market." Emerald Emerging Markets Case Studies 3, no. 4 (2013): 1–13. http://dx.doi.org/10.1108/eemcs-10-2013-0032.

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Subject area Marketing. Study level/applicability Target audience this decision case has been tried and tested in a classroom setting with final-year undergraduate BBA students and postgraduate students studying an MSc in marketing. The specific course in which this case was used was marketing management in China. This case may also be suitable for an undergraduate or masters level courses in consumer behaviour, distribution management or marketing in China. The case covers environment analysis, market segmentation, consumer behaviour and distribution channels. Case overview Skyworth, a Chines

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ESTRELLA-RAMÓN, Antonia, Manuel SÁNCHEZ-PÉREZ, Gilbert SWINNEN, and Koen VANHOOF. "ESTIMATING CUSTOMER POTENTIAL VALUE USING PANEL DATA OF A SPANISH BANK." Journal of Business Economics and Management 17, no. 4 (2016): 580–97. http://dx.doi.org/10.3846/16111699.2014.970571.

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The main goal of this paper is the calculation of a multi-product model of Customer Potential Value using the Probit method. The results of this first analysis are used to perform an ex-post segmentation of customers, whose output can be employed to improve Customer Relationship Management strategies of the companies. Our research contributes to the consumer behaviour literature insofar as, according to our knowledge, no previous work has examined collectively the proposed drivers of Customer Potential Value in a multi-services retailer. To achieve these objectives, we use a panel data of a Sp

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Kiba-Janiak, Maja, Katarzyna Cheba, Magdalena Mucowska, and Leise Kelli De Oliveira. "Segmentation of e-customers in terms of sustainable last-mile delivery." Oeconomia Copernicana 13, no. 4 (2022): 1117–42. http://dx.doi.org/10.24136/oc.2022.032.

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Research background: A rapidly developing e-commerce market and growing customer expectations regarding the speed and frequency of deliveries have made the last mile of the supply chain more challenging. The expectations of e-customers increase every year. They choose those companies that deliver goods faster and cheaper than others. A significant group of customers in Poland still selects home delivery. Many of them frequently return products to the retailer. These expectations and behaviour pose a challenge for the transport companies to deliver parcels to individual customers soon after the

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LUK, Sherriff T. K., Ivy Siok Ngoh Chen, and John Coombes. "Skyworth TV: channel dynamics and growth in China ' s rural market." Emerald Emerging Markets Case Studies 3, no. 4 (2013): 1–22. http://dx.doi.org/10.1108/eemc-10-2013-0032.

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Title – Skyworth TV: channel dynamics and growth in China ' s rural market. Subject area – Marketing. Study level/applicability – Target audience this decision case has been tried and tested in a classroom setting with final-year undergraduate BBA students and postgraduate students studying an MSc in marketing. The specific course in which this case was used was marketing management in China. This case may also be suitable for an undergraduate or masters level courses in consumer behaviour, distribution management or marketing in China. The case covers environment analysis, market segmentation

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Smith, Alan D. "Exploring the Inherent Growth of e-Tailing via e-Personalization and Technological Innovations." International Journal of Innovation in the Digital Economy 8, no. 1 (2017): 19–46. http://dx.doi.org/10.4018/ijide.2017010102.

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It is the hope of essentially all e-tailers to deliver personalized and real-time communications to customers that are tailored to their interests, preferences, based on big data mining that customers will value over privacy concerns. The technology (e.g., interaction data from segmentation marketing, transactions data, and sophisticated analytics) should optimize the customer's journey through the array of brands via unique identifiers from customer's profiles that provide enrichment, not just enlargement, of each brand's value proposition. These interactions can vary from simple transactiona

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Joseph, Shibily, and E. A. Jasmin. "Demand response program for smart grid through real time pricing and home energy management system." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4558. http://dx.doi.org/10.11591/ijece.v11i5.pp4558-4567.

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Aim of demand response (DR) programs are to change the usage pattern of electricity in such a way that, beneficial to the consumers as well as to the distributors by applying some methods or technology. This way additional cost to erect new energy sources can be postponed in power grid. Best method to implement demand response (DR) program is by influencing consumer through the implementation of real time pricing scheme. To harness the benefit of DR, automated home energy management system is essential. This paper presents a comprehensive demand response system with real time pricing. The real

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Shibily, Joseph, and A. Jasmin E. "Demand response program for smart grid through real time pricing and home energy management system." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4558–67. https://doi.org/10.11591/ijece.v11i5.pp4558-4567.

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Aim of demand response (DR) programs are to change the usage pattern of electricity in such a way that, beneficial to the consumers as well as to the distributors by applying some methods or technology. This way additional cost to erect new energy sources can be postponed in power grid. Best method to implement demand response (DR) program is by influencing consumer through the implementation of real time pricing scheme. To harness the benefit of DR, automated home energy management system is essential. This paper presents a comprehensive demand response system with real time pricing. The real

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Максимов, М. И., та В. А. Свистунова. "Роль собственных торговых марок в повышении финансовой эффективности розничных сетей на примере X5 Group". Journal of Applied Research, № 6 (11 червня 2025): 57–67. https://doi.org/10.47576/2949-1878.2025.6.6.007.

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В статье рассматривается влияние собственных торговых марок на операционную эффективность и рентабельность розничных сетей на примере X5 Group. Анализируются тенденции роста доли таких марок, их роль в повышении маржинальности, оптимизации затрат и укреплении рыночных позиций. Особое внимание уделено стратегиям сегментации и продвижения, а также социальной миссии. Рассматриваются преимущества и риски внедрения собственных марок для ритейлеров и поставщиков. На примере сети «Пятерочка» представлен практический анализ влияния собственных торговых марок на финансовые результаты бизнеса. Результат

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Yoseph, Fahed, and Markku Heikkilä. "A new approach for association rules mining using computational and artificial intelligence." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 7233–46. http://dx.doi.org/10.3233/jifs-200707.

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Market Intelligence is knowledge extracted from numerous data sources, both internal and external, to provide a holistic view of the market and to support decision-making. Association Rules Mining provides powerful data mining techniques for identifying associations and co-occurrences in large databases. Market Basket Analysis (MBA) uses ARM to gain insights from heterogeneous consumer shopping patterns and examines the effects of marketing initiatives. As Artificial Intelligence (AI) more and more finds its way to marketing, it entails fundamental changes in the skills-set required by markete

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Basher, Mohammad Atiqul, Shahadat Hossain Dipto, and Mizanur Rahman. "Managing business during global economic crisis: the case of Global Gadget Limited, Bangladesh." Emerald Emerging Markets Case Studies 14, no. 2 (2024): 1–24. http://dx.doi.org/10.1108/eemcs-09-2023-0322.

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Learning outcomes The primary objective of this case was to grant the students an exposure to the students regarding how to manage a retail business during an economic crisis. In this case, all three of the aforementioned objectives as the students were given opportunity to dissect the business process through business model canvas, find out the key success factors and more importantly, were encouraged towards cost cutting behaviour by presenting the real-life dilemmas that were faced by an actual entrepreneur. Furthermore, the students were shown the importance of stakeholder management throu

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George, Dr Jensmon, and Sona R. "Leveraging Machine Learning for Customer Segmentation in Retail." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–9. http://dx.doi.org/10.55041/ijsrem29102.

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In the dynamic landscape of retail, understanding customer behavior is paramount for effective marketing strategies and business growth. Customer segmentation, the process of dividing customers into groups based on similar characteristics or behaviors, serves as a fundamental tool in this endeavor. Traditional methods of segmentation often fall short in capturing the complexity and nuances of customer preferences. This article explores the application of machine learning techniques in customer segmentation within the retail sector. Leveraging advanced algorithms, such as clustering and classif

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Journal, IJSREM. "Artificial Intelligence on Retail Marketing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–13. http://dx.doi.org/10.55041/ijsrem27814.

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Abstract- The modern retail sector is characterised by high consumer expectations and a new covenant of data-driven retail experiences. But it is not simple for merchants to create a personalised shopping experience at a scale that is meaningful and relevant. Retailers who can develop their retail channels will distinguish themselves as industry leaders when physical and digital purchase channels merge. Artificial intelligence (AI) has been increasingly used in various industries, including retail marketing. With the advent of technology and the growing popularity of e-commerce, retailers have

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Baghel, Hemant. "How Large Retail Chains Affect Small Kirana Stores." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50298.

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Abstract The Indian retail sector is witnessing intense competition between large retail chains such as D-Mart, Reliance Retail, and Big Bazaar, and small kirana stores. Large retailers leverage economies of scale, bulk purchasing, and supply chain efficiencies to offer lower prices, challenging the survival of small businesses. This study investigates the impact of these pricing strategies on small kirana stores, analyzing consumer behavior shifts, profit margin changes, and the role of business analytics in enabling small retailers to compete. Through surveys, interviews, and secondary data

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Somasekhar, G., K. Srinivasa Krishna, Ashok Kumar Reddy, T. Kishore Kumar, and G. Somasekhar. "Shopper Segmentation Using Multivariate Risk Analysis for Innovative Marketing Strategies." International Journal of Asian Business and Information Management 12, no. 1 (2021): 60–74. http://dx.doi.org/10.4018/ijabim.20210101.oa4.

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Shopper buying behaviour is essential for the retailers to segment the shoppers in accordance to their disruptive attitude and perception for better innovative strategies which may lead to higher profits. The major purpose of this study to categorize the shoppers into distinct groups based on their risk-based perception for the organized retail outlets in Bangladesh. Seven hundred eighty-five respondents were responding on 21 variables related to store which influence their buying behaviour. In the present study, the shoppers were classified into three segments such as value seekers and disrup

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Mungan, Esra, Z. Funda Yazıcı, and Mustafa (Uğur) Kaya. "Perceiving Boundaries in Unfamiliar Turkish Makam Music." Music Perception 34, no. 3 (2017): 267–90. http://dx.doi.org/10.1525/mp.2017.34.3.267.

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Music segmentation is a widely researched topic within music perception. Even though there is extensive data on the role of surface structure features and music training (e.g., Deliège, 1987) in segmentation, not much is known yet about the influence of implicit knowledge-based features acquired through musical enculturation. The goal of our study was to fill this gap. Makam music-trained musicians, nonmusicians, and Western listeners marked their segmentations online as they listened to mostly 19th century, unfamiliar Turkish makam tunes, all recorded in a Qānūn timbre on MIDI with retained m

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Wang, Junbin, and Xiaojun Fan. "Co-production strategy, retail competition, and market segmentation." Asia Pacific Journal of Marketing and Logistics 32, no. 2 (2019): 607–30. http://dx.doi.org/10.1108/apjml-10-2018-0408.

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Purpose The purpose of this paper is to examine the effect of manufacturers’ co-production strategy on market segmentation and channel performance under retail competition. Design/methodology/approach It differs from previous empirical studies by primarily focusing on the increment in consumer value accompanying co-production. The authors establish a game-theoretical model to analyze the impact of co-production on market segmentation and the profitability of channel members in a competitive retail environment. Findings The results reveal that manufacturers introducing co-production expand mark

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Musalem, Andres, Luis Aburto, and Maximo Bosch. "Market basket analysis insights to support category management." European Journal of Marketing 52, no. 7/8 (2018): 1550–73. http://dx.doi.org/10.1108/ejm-06-2017-0367.

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Purpose This paper aims to present an approach to detect interrelations among product categories, which are then used to produce a partition of a retailer’s business into subsets of categories. The methodology also yields a segmentation of shopping trips based on the composition of each shopping basket. Design/methodology/approach This work uses scanner data to uncover product category interdependencies. As the number of possible relationships among them can be very large, the authors introduce an approach that generates an intuitive graphical representation of these interrelationships by usin

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Zhang, YuHang, and Ying Wang. "Supply Chain Decisions Considering Heterogeneous Consumer Greenness Preference and Reservation Utilities." International Journal of Information Systems and Supply Chain Management 12, no. 1 (2019): 1–21. http://dx.doi.org/10.4018/ijisscm.2019010101.

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This article focuses on how the prices set by supply chains and the product greenness level changes when there exists a difference for consumers in both their greenness preference and their reservation utility for the common product with minimal greenness, based on a two-dimensional model which is built and the market is partitioned into four groups. In this study, the authors use the Stackelberg game model to analyze the decisions of a two-stage supply chain, providing environmentally friendly products affected by a consumer greenness preference which is represented by the willingness-to-pay

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Kim, Youn-Kyung, Sejin Ha, and Soo-Hee Park. "Competitive analyses for men’s clothing retailers: segmentation and positioning." International Journal of Retail & Distribution Management 47, no. 12 (2019): 1266–82. http://dx.doi.org/10.1108/ijrdm-08-2018-0172.

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Purpose The purpose of this paper is to identify men’s clothing market segments based on store types and generational cohorts and the retail attributes. Design/methodology/approach A total of 2,808 US male consumer data from Predictive Analytics survey were analyzed with correspondence analysis (CA) (to identify segments based on store types and generations), general linear model (GLM) (to determine what retail attributes were important to target each segment) and a Rasch tree model (to test items of each factor in their relative importance). Findings The CA produced three segments: Segment 1

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