The Citation Pattern for Business and Statistics Journals: Changes in the 21st Century

• Activity Number: 373
• Type: Contributed
• Date/Time: Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
• Sponsor: Business and Economic Statistics Section
• Author(s): Mary Whiteside* and Mark Eakin and Sridhar Nerur
• Companies: The University of Texas at Arlington and The University of Texas at Arlington and The University of Texas at Arlington
• Keywords: Cluster ; Big Data ; Analytics

Abstract

This paper uses citation analysis to examine the cross pollination in the 21st century between academic top tier business journals and highly cited statistics journals. This changing relationship is important as business leaders are concluding that they can "make better decisions" with tools of analytics and big data sets. Three time periods are observed: 2000, 2005, and 2010. The top business journals examined are among those scoured by Bloomberg Business to determine the 'Intellectual capital score' for business schools in Bloomberg Business Week's MBA rankings. The statistics journals cited are compiled from the top of three lists: those with the most citations in Eakin, Whiteside, and Reyes, (2005), "Statistics Journals: How Schools of Business Use Them", those most frequently mentioned in Theoharakis, V. and Skordia, M. (2003), "How Do Statisticians Perceive Statistics Journals?", and those with the most impact in Van Nierop, E. (2009), "Why do statistics journals have low impact factors?" The patterns of citation among the journal clusters are compared for the three years in order to capture the changes and trends.