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Maturity models in SSCM: a systematic review aimed at consolidating models and outlining possibilities for future research

Raquel Ottoboni Pavan (Department of Production Engineering, State University of Maringá, Maringá, Brazil)
Marco Antonio Ferreira (Department of Production Engineering, Universidade Tecnologica Federal do Parana, Curitiba, Brazil)
Nelson Oliveira Stefanelli (Fucape Business School, Vitória, Brazil) (Universidade Santa Úrsula, Rio de Janeiro, Brazil)
Gislaine Camila Lapasini Leal (Department of Production Engineering, State University of Maringá, Maringá, Brazil)

Benchmarking: An International Journal

ISSN: 1463-5771

Article publication date: 20 December 2022

26

Abstract

Purpose

This research analyzes the current knowledge regarding the use of maturity models (MMs) in SSCM, aiming to identify the main characteristics, trends and research gaps on the subject. Facing the growing interest in carrying out studies directed at sustainability, to the detriment of more prescient environmental and social impacts and the need to consolidate the concepts present in the literature regarding the SSCM, an absence of similar studies in the current literature was found. The authors have selected articles to compose a database that allows users to analyze and classify publications on MMs in SSCM, being those subdivided into 7 categories: focus, methodology, analyzed sector, sustainable practices, dimensions of sustainable development, type of MM and model/framework validation method.

Design/methodology/approach

To achieve this purpose, a literature systematization was conducted by searching publications using defined keywords in two databases and following a process of classification. The systematic process has five steps, from the selection of databases to the filtering of publications, review of information and analysis of the sample.

Findings

The topic under study is promising, with a few publications dealing with it, mainly in Brazil, and there is a trend to exploit more of the area in future research.

Originality/value

This research provides a detailed analysis of an emerging theme, divided into seven thematic categories. Results demonstrate that the topic is still underexplored, indicating an important research gap to be filled.

Keywords

Citation

Pavan, R.O., Ferreira, M.A., Stefanelli, N.O. and Leal, G.C.L. (2022), "Maturity models in SSCM: a systematic review aimed at consolidating models and outlining possibilities for future research", Benchmarking: An International Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BIJ-05-2022-0328

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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