ARTIREV: An Integrated Bibliometric Tool to Efficiently Conduct Quality Literature Reviews

In the current context of scientific information overload, researchers and practitioners alike could benefit from integrated bibliometric-based software tools to help them conduct reviews of existing literature. Using a design science research approach, and two bibliometric techniques (co-citation analysis of cited references and bibliographic coupling of citing documents) we propose a detailed workflow to conduct literature reviews and an artefact – a software tool we name ARTIREV (ARTificial Intelligence and literature REViews) that we evaluate in the management and medical fields. We show that ARTIREV addresses some issues identified in existing bibliometric software. These issues in existing tools are (1) the need for extensive bibliometric training to be able to effectively use them, (2) data cleaning that is insufficient to obtain reliable results, and (3) graphical representations, which are visually pleasing, but often difficult to interpret. The software tool resulting from our work could support the conduct of literature reviews for all prospective users: researchers and practitioners; bibliometric experts and neophytes.