声誉
业务
品牌管理
社会化媒体
品牌资产
品牌知名度
广告
资产(计算机安全)
品牌延伸
营销
价值(数学)
企业品牌
感知
计算机科学
心理学
社会科学
计算机安全
机器学习
神经科学
社会学
万维网
作者
Roland T. Rust,William Rand,Ming‐Hui Huang,Andrew T. Stephen,Gillian Brooks,Timur Chabuk
标识
DOI:10.1177/0022242921995173
摘要
How can we know what stakeholders think and feel about brands in real time and over time? Most brand reputation measures are at the aggregate level (e.g., the Interbrand “Best Global Brands” list) or rely on customer brand perception surveys on a periodical basis (e.g., the Y&R Brand Asset Valuator). To answer this question, brand reputation measures must capture the voice of the stakeholders (not just ratings on brand attributes), reflect important brand events in real time, and connect to a brand’s financial value to the firm. This article develops a new social media–based brand reputation tracker by mining Twitter comments for the world’s top 100 brands using Rust–Zeithaml–Lemon’s value–brand–relationship framework, on a weekly, monthly, and quarterly basis. The article demonstrates that brand reputation can be monitored in real time and longitudinally, managed by leveraging the reciprocal and virtuous relationships between the drivers, and connected to firm financial performance. The resulting measures are housed in an online longitudinal database and may be accessed by brand reputation researchers.
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