Measuring and Evaluating the Interest on Management and Gender Topics in the United States in 1990–2017: A Time Series Clustering Approach
In the last years, there has been an increased interest in the “gender studies” on which the topics related to women, managers and entrepreneurs are analysed from an approach combining different disciplines. These different approaches reflect also the different topics and the different problems considered on these fields. In this work, by using selected Google queries, we have studied the evolution of the different queries related to “gender studies” over the time. In particular we have used a time series clustering approach in order to detect a common dynamics for the considered Google queries. We found that the queries between the glass ceiling and the pay gap between men and women show a relevant increase over the time.
KeywordsGender studies Glass ceiling Gender pay gap Time series clustering Google queries
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