Correlation Analysis Between Google Index and Academic Evaluation Indicators: A Case Study of Business Journals

Scientific journals are platforms for academic communities to display and exchange academic achievements. How to evaluate scientific journals has become a very important issue. Impact Factor (IF), Eigenfactor (EF) Score, Article Influence (AI) Score and other evaluation indexes are the most commonly used indicators to evaluate the influence of scientific journals. However, these evaluation methods mostly focusing on studying the article citations. They rarely consider the correlation between public influence and academic authority. In order to explore the correlation relationship between public influence and academic authority of academic journals, and to objectively understand the correlation and difference between popular level and professional level in journal evaluation, this paper uses Google Index to reflect public influence, and adopts evaluation indexes such as journal total cites, IF, IF without Journal Self-Citations to reflect academic level. The article selects 332 journals included in “Federation of Management Societies of China Recommended List of Management Science High-Quality Journals” as samples. It adopts bias correlation analysis to compare the indexes of these journals. The analysis results show that Google Index has a high positive correlation with the total number of citations of journals, and the evaluation results of public influence and academic authority have a high consistency.