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Latent Semantic Analysis (LSA) is a new text mining approach that is increasingly being adopted by IS scholars. In this paper, we provide an overview of various research contexts in which IS and other business scholars have applied this approach. We first identity the diverse body of scholarly and field-based contexts in which LSA has been applied. Next, we propose an empirical analysis of published research on healthcare information technology (HIT), to identify different themes in the IS literature from 1990 to the present date. Our empirical analysis will identify key research trends in IS journal papers for three time periods, based on an analysis of health-related papers published in 20 leading IS journals. In addition to providing more awareness of this research approach, we seek to identify important trends and changes in healthcare IT research over time.

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Using Latent Semantic Analysis to Identify Themes in IS Healthcare Research

Latent Semantic Analysis (LSA) is a new text mining approach that is increasingly being adopted by IS scholars. In this paper, we provide an overview of various research contexts in which IS and other business scholars have applied this approach. We first identity the diverse body of scholarly and field-based contexts in which LSA has been applied. Next, we propose an empirical analysis of published research on healthcare information technology (HIT), to identify different themes in the IS literature from 1990 to the present date. Our empirical analysis will identify key research trends in IS journal papers for three time periods, based on an analysis of health-related papers published in 20 leading IS journals. In addition to providing more awareness of this research approach, we seek to identify important trends and changes in healthcare IT research over time.