Exploring Key Factors Influencing Retail Enterprise Performance: A Comprehensive Analysis Using Multivariate Regression Models

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^* Corresponding author: chszhang@ucdavis.edu

Abstract

This paper provides a comprehensive review of key factors influencing retail enterprise performance, utilizing multivariate regression models to explore internal and external drivers. With the retail industry facing increasing competition, understanding how variables such as marketing strategies, supply chain efficiency, and consumer behavior interact to shape business outcomes is essential. Through an in-depth analysis of existing literature, the paper identifies both traditional and emerging factors—like digital transformation and omnichannel strategies— that significantly impact performance. By applying regression techniques, the paper highlights the interplay between these variables and provides practical insights for retail decision-makers. Furthermore, the study discusses the strengths and limitations of various regression models, offering suggestions for future research aimed at refining analytical approaches to retail performance forecasting