Examining McDonald's Operational Strategies: An Integrated Application of Regression and Social Media Sentiment Analysis

Abstract

This paper explores the role of McDonald’s operational strategies in shaping consumer sentiment and its subsequent impact on market positioning. By integrating traditional business metrics with contemporary sentiment analysis, the study provides nuanced insights and actionable recommendations to enhance McDonald's market position in a sentiment-driven landscape. The research employs a dual-method approach. Quantitative assessments focus on operational metrics such as advertisement spend and revenue streams across various store types. Concurrently, sentiment analysis of consumer interactions gauges prevailing attitudes and perceptions. Results indicate that operational drivers such as service quality and ambiance foster positive consumer sentiments, whereas order inconsistencies and staff interactions contribute to negative perceptions. The findings underscore the critical balance of all operational aspects to maintain overall positive outcomes. The practical implications highlight the importance of customer service, effective marketing, and advertising spend in influencing consumer sentiment and business success. These insights serve as a strategic blueprint for businesses aiming to refine strategies, enhance customer experiences, and strengthen market positions. This study's originality lies in its innovative combination of traditional business metrics and sentiment analysis. It offers a dynamic evaluation strategy, advocating for the alignment of operational strategies with real-time consumer sentiments to drive market success.