Web Trends: A valuable tool for business research

被引:7
|
作者
France, Stephen L. [1 ]
Shi, Yuying [2 ]
Kazandjian, Brett [1 ]
机构
[1] Mississippi State Univ, 40 Old Main, Mississippi State, MS 39762 USA
[2] Texas A&M Commerce, Commerce, TX 75428 USA
关键词
Google Trends; Forecasting; Brand equity; Buzz; eWOM; Movies; WORD-OF-MOUTH; GOOGLE TRENDS; BRAND EQUITY; SENTIMENT ANALYSIS; PRODUCT REVIEWS; ONLINE REVIEWS; DEMAND; SALES; PERFORMANCE; PREDICTION;
D O I
10.1016/j.jbusres.2020.10.019
中图分类号
F [经济];
学科分类号
02 ;
摘要
Web search data are a valuable source of business and economic information. Previous studies have utilized Google Trends web search data for economic forecasting. We expand this work by creating an algorithm to combine and aggregate search volume data, so that the resulting data are both consistent over time and consistent between data series. We give a brand equity example, where Google Trends is used to create several brand equity series for 100 top-ranked brands. We validate these series by correlating them with the Interbrand brand equity index and by testing how well the series components predict company revenue. We give a managerial business research example, where Google Trends data are implemented as a measure of consumer "buzz"and is used to improve pre-release predictions of movie revenue.
引用
收藏
页码:666 / 679
页数:14
相关论文
共 50 条