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      Developing the Strategies of Redesigning the Role of Retail Stores Using Cluster Analysis: The Case of Mongolian Retail Company

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      https://www.riss.kr/link?id=A108661108

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      The traditional retail industry significantly changed over the past decade due to the mobile and online technologies. This change has been accompanied by a shift in consumer behavior regarding purchasing patterns. Despite the rise of online shopping, there are still specific categories of products, such as “Processed food” in Mongolia, for which traditional shopping remains the preferred purchase method. To prepare for the inevitable future of retail businesses, firms need to closely analyze the performance of their offline stores to plan their further actions in a new multi-channel environment. Retailers must integrate diverse channels into their operations to stay relevant and adjust to the shifting market. In this research, we have analyzed the performance data such as sales, profit, and amount of sales of offline stores by using clustering approach. From the clustering, we have found the several distinct insights by comparing the circumstances and performance of retail stores. For the certain retail stores, we have proposed three different strategies: a fulfillment hub store between online and offline channels, an experience store to elongate customers’ time on the premises, and a merge between two non-related channels that could complement each other to increase traffic based on the store characteristics. With the proposed strategies, it may enhance the user experience and profit at the same time.
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      The traditional retail industry significantly changed over the past decade due to the mobile and online technologies. This change has been accompanied by a shift in consumer behavior regarding purchasing patterns. Despite the rise of online shopping, ...

      The traditional retail industry significantly changed over the past decade due to the mobile and online technologies. This change has been accompanied by a shift in consumer behavior regarding purchasing patterns. Despite the rise of online shopping, there are still specific categories of products, such as “Processed food” in Mongolia, for which traditional shopping remains the preferred purchase method. To prepare for the inevitable future of retail businesses, firms need to closely analyze the performance of their offline stores to plan their further actions in a new multi-channel environment. Retailers must integrate diverse channels into their operations to stay relevant and adjust to the shifting market. In this research, we have analyzed the performance data such as sales, profit, and amount of sales of offline stores by using clustering approach. From the clustering, we have found the several distinct insights by comparing the circumstances and performance of retail stores. For the certain retail stores, we have proposed three different strategies: a fulfillment hub store between online and offline channels, an experience store to elongate customers’ time on the premises, and a merge between two non-related channels that could complement each other to increase traffic based on the store characteristics. With the proposed strategies, it may enhance the user experience and profit at the same time.

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      참고문헌 (Reference)

      1 Ganesha, H. R., "qIdeal Store Locations for Indian Retailers - An Empirical Study" 215-226, 2020

      2 Li, K., "Visual analysis of retailing store location selection" 2020

      3 Wangdong, J., "User Behavior Path Analysis Based on Sales Data" 2 (2): 79-90, 2020

      4 Kumar, V., "Transformation of Metrics and Analytics in Retailing : The Way Forward" 97 (97): 496-506, 2021

      5 Hajdas, M., "The omnichannel approach: A utopia for companies?" 65 : 102131-, 2020

      6 Yokoyama, N., "The impact of e-retail usage on relative retail patronage formation" 51 (51): 16-32, 2023

      7 Mahmood, "The Impact of E-commerce on Traditional Brick-and-Mortar Retail Stores" Zenodo (CERN European Organization for Nuclear Research) 2023

      8 Iglesias-Pradas, S., "The Future of E-Commerce: Overview and Prospects of Multichannel and Omnichannel Retail" 18 (18): 656-667, 2023

      9 Sopha, B. M., "Survival strategies of traditional retailers during the COVID-19 pandemic : Some insights from a developing country" 15 (15): 185-, 2022

      10 Appel, A., "Strategies in Times of Pandemic Crisis-Retailers and Regional Resilience in Würzburg, Germany" 13 (13): 2643-, 2021

      1 Ganesha, H. R., "qIdeal Store Locations for Indian Retailers - An Empirical Study" 215-226, 2020

      2 Li, K., "Visual analysis of retailing store location selection" 2020

      3 Wangdong, J., "User Behavior Path Analysis Based on Sales Data" 2 (2): 79-90, 2020

      4 Kumar, V., "Transformation of Metrics and Analytics in Retailing : The Way Forward" 97 (97): 496-506, 2021

      5 Hajdas, M., "The omnichannel approach: A utopia for companies?" 65 : 102131-, 2020

      6 Yokoyama, N., "The impact of e-retail usage on relative retail patronage formation" 51 (51): 16-32, 2023

      7 Mahmood, "The Impact of E-commerce on Traditional Brick-and-Mortar Retail Stores" Zenodo (CERN European Organization for Nuclear Research) 2023

      8 Iglesias-Pradas, S., "The Future of E-Commerce: Overview and Prospects of Multichannel and Omnichannel Retail" 18 (18): 656-667, 2023

      9 Sopha, B. M., "Survival strategies of traditional retailers during the COVID-19 pandemic : Some insights from a developing country" 15 (15): 185-, 2022

      10 Appel, A., "Strategies in Times of Pandemic Crisis-Retailers and Regional Resilience in Würzburg, Germany" 13 (13): 2643-, 2021

      11 Rooderkerk, R. P., "Springer series in supply chain management" Springer International Publishing 51-86, 2019

      12 Emrich, O., "Shopping Benefits of Multichannel Assortment Integration and the Moderating Role of Retailer Type" 91 (91): 326-342, 2015

      13 Hiremath, S., "Retail Marketing Strategies: A Study on Changing Preferences of Customers Towards Retail Formats" 2022

      14 Madison, M., "Prediction of Scholarship Recipients Using Hybrid Data Mining Method with Combination of K-Means and C4. 5 Algorithms" 5 (5): 2021

      15 Goersch, D., "Multi-Channel Integration and Its Implications for Retail Web Sites" 748-758, 2002

      16 Satpathy, A., "Location-Based Association of Customers’ Sentiments and Retail Sales" 2015

      17 Hardianto, R., "K-Means Clustering in Determining the Category of Stock Items In Angkasa Mart" 2 (2): 30-, 2022

      18 Yoon, H., "Interrelationships between retail clusters in different hierarchies, land value, and property development: A panel VAR approach" 78-, 2018

      19 Herhausen, D., "Integrating Bricks with Clicks : Retailer-Level and Channel-Level Outcomes of Online–Offline Channel Integration" 91 (91): 309-325, 2015

      20 Chen, Y., "How Does Channel Integration Affect Consumers’ Selection of Omni-Channel Shopping Methods? An Empirical Study of U.S. Consumers" 13 (13): 8983-, 2021

      21 Kusrini, K., "Grouping of Retail Items by Using K-Means Clustering" 72 : 495-502, 2015

      22 Verhoef, P. C., "From Multi-Channel Retailing to Omni-Channel Retailing" 91 (91): 174-181, 2015

      23 Christianto, K., "Employee’s Satisfaction Index Analysis and Prediction using K-Means Clustering, Decision Tree, _Association_Rules_Algorithm"

      24 Frasquet, M., "Do channel integration efforts pay off in terms of online and offline customer loyalty?" 45 (45): 859-873, 2017

      25 Mirsch, Tobias, "Digital Nudging: Altering User Behavior in Digital Environments" 634-648, 2017

      26 Setiawan, M., "Design and Application of K-Means Method to Predict Sales at Arya Elektrik Stores" 5 (5): 67-76, 2022

      27 Supriyati, & Abdillah, S. R., "Data Mining in Sales Data Grouping" 879 : 012116-, 2020

      28 Pascucci, F., "Combining sell-out data with shopper behavior data for category performance measurement : The role of category conversion power" 65 : 102880-, 2022

      29 Pauwels, K., "Building With Bricks and Mortar : The Revenue Impact of Opening Physical Stores in a Multichannel Environment" 91 (91): 182-197, 2015

      30 Da Veiga, C. P., "Assortment planning: Strategic perception of retail owners and managers in Brazil" 2014

      31 Shankar, V., "An Empirical Analysis of Determinants of Retailer Pricing Strategy" 23 (23): 28-49, 2004

      32 Shabanova, L., "ABC - Analysis, as an Important Tool for Generating an Optimal Assortment Plan Commercial Enterprises" 2015

      33 Adivar, B., "A quantitative performance management framework for assessing omnichannel retail supply chains" 48 : 257-269, 2019

      34 Chong, J., "A Modeling Framework for Category Assortment Planning" 3 (3): 191-210, 2001

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