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

Isabelle Walsh (), Alexandre Renaud (), Maximiliano Jeanneret Medina, Cédric Baudet () and Gaëtan Mourmant
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Isabelle Walsh: SKEMA Business School - SKEMA Business School, GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur
Alexandre Renaud: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Maximiliano Jeanneret Medina: HES-SO - Haute École spécialisée de Suisse occidentale = HES-SO University of Applied Sciences and Arts Western Switzerland = Fachhochschule Westschweiz [Schweiz]
Cédric Baudet: HES-SO - Haute Ecole Spécialisée de Suisse Occidentale
Gaëtan Mourmant: School of Management and Business - Aberystwyth University

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Abstract: The present research was not subsidized. However, further development of the ARTIREV platform is currently subsidized by BPI France through a "French Tech Emergence" grant No. DOS0194751/00. 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.

Keywords: Bibliometrics; Literature review; Design science research; Reference co-citation analysis; Document bibliographic coupling analysis; Bibliométrie; Revue de littérature; Sciences de la conception; Analyse de co-citation de références; Analyse de couplage bibliographique de documents (search for similar items in EconPapers)
Date: 2023-03-15
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Published in Systèmes d'Information et Management, 2023, 27 (4), pp.5-50. ⟨10.3917/sim.224.0005⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05151057

DOI: 10.3917/sim.224.0005

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