The Use of Latent Semantic Analysis in Operations Management Research
Author
Kulkarni, Shailesh S.
Apte, Uday M.
Evangelopoulos, Nicholas E.
Date
2014-10Metadata
Show full item recordAbstract
In this article, we introduce the use of Latent Semantic Analysis (LSA) as a technique
for uncovering the intellectual structure of a discipline. LSA is an emerging quantitative
method for content analysis that combines rigorous statistical techniques and scholarly
judgment as it proceeds to extract and decipher key latent factors. We provide a stepwise
explanation and illustration for implementing LSA. To demonstrate LSA’s ability to
uncover the intellectual structure of a discipline, we present a study of the field of
Operations Management. We also discuss a number of potential applications of LSA
to show how it can be used in empirical Operations Management research, specifically
in areas that can benefit from analyzing large volumes of unstructured textual data.