Title: Design and implementation of a text mining-based tool to support scoping reviews

Authors: Filippo Chiarello; Luca Gastaldi; Antonella Martini

Addresses: B4DS Research Group, School of Engineering, University of Pisa, Largo Lucio Lazzarino, 56122 – Pisa, Italy ' Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Via Lambruschini 4b, Building 26b, 20156 – Milan, Italy ' B4DS Research Group, School of Engineering, University of Pisa, Largo Lucio Lazzarino, 56122 – Pisa, Italy

Abstract: Among literature reviews, scoping review is a relatively new approach that is increasingly gaining popularity since it helps researchers in defining emerging and multidisciplinary fields. While artificial intelligence for text processing can help researchers in this sense, we still lack clear procedures and tools to improve the reviewing process. Following a design science approach, in this article we propose a novel tool based on natural language processing (NLP) to support scoping review and to visualise its results. The tool (NLP4Scoping) is implemented using open-source software and is made available for reuse on GitHub. Each phase for its proper application is described focusing on the nascent literature stream on innovation management in digital ecosystems.

Keywords: scoping review; natural language processing; NLP; topic modelling; open source.

DOI: 10.1504/IJTM.2023.128799

International Journal of Technology Management, 2023 Vol.91 No.3/4, pp.147 - 161

Received: 01 Jul 2022
Accepted: 11 Jul 2022
Published online: 06 Feb 2023 *

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