ENHANCING LITERATURE REVIEW METHODS - TOWARDS MORE EFFICIENT LITERATURE RESEARCH WITH LATENT SEMANTIC INDEXING

摘要: Nowadays, the facilitated access to increasing amounts of information and scientific resources means that more effort is required conduct comprehensive literature reviews. Literature search, as a fundamental, complex, time-consuming step in every research process, part many established methods. However, it still predominantly supported by search techniques based on conventional term-matching We address lack semantic approaches this context proposing an enhancement review For purpose, we followed design science (DSR) principles order develop artifacts implement prototype our Tool for Semantic Indexing Similarity Queries (TSISQ) core concepts latent indexing (LSI). Its applicability demonstrated evaluated case study. Results indicate presented approach can help save valuable time finding basic desired field or comprehensiveness efficiently identifying sources otherwise would not have been taken into account. The target audience findings includes researchers who need gain overview specific field, deepen their knowledge refine theoretical foundations research.