Short-selling activities in the time of COVID-19

Luu, Ellie; Xu, Fangming; Zheng, Liyi

doi:10.1016/j.bar.2023.101216

Cited by 2 publications

(1 citation statement)

References 72 publications

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“…In the contemporary retail landscape, where grocery stores play a pivotal role as essential providers of daily necessities, the escalating volume of sales data necessitates sophisticated methods for effective organization and analysis (Griffin et al, 2023;Khedmati & Azin, 2020;Pelekis et al, 2023;Vásquez Sáenz et al, 2023). This study focuses on the application of the K-Means Algorithm for clustering best-selling product data, offering a promising solution to systematically categorize products in grocery stores (Ikotun et al, 2023;Kashef & Pun, 2022;Luu et al, 2023). With consumer preferences evolving and a vast array of products available, leveraging the K-Means Algorithm presents an opportunity for grocery stores to gain valuable insights into consumer behavior, optimize inventory management, and tailor marketing strategies (Kuo et al, 2022;Meng et al, 2023;van der Borgh et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

K-Means Algorithm Method for Clustering Best-Selling Product Data at XYZ Grocery Stores

Ridzki,

Hadijah,

Mukidin

et al. 2023

IJSSR

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This study aims to utilize the K-means clustering algorithm in data mining to categorize sales data at XYZ Grocery store. The research is essential for understanding sales patterns and enhancing inventory management strategies. The research methodology involves implementing the K-means clustering algorithm to generate centroid values for each cluster, thereby creating groups of products based on their sales performance. The findings of this study are expected to provide insights into sales trends at the store. While the abstract provides a general overview, specific results and contributions of this research are not detailed. Further studies could offer a more in-depth understanding of the practical applications of these findings in improving store management and inventory control.

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