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Maturity models: identifying the state-of-the-art and the scientific gaps from a bibliometric study

Author

Listed:
  • Thalita Laua Reis

    (São Paulo State University - UNESP)

  • Maria Augusta Siqueira Mathias

    (São Paulo State University - UNESP)

  • Otavio Jose Oliveira

    (São Paulo State University - UNESP)

Abstract

Maturity model has been increasingly approached by several researchers from various research areas in order to develop models that could assess the strengths and weaknesses of a system and/or a process, and to develop scripts for improvement. Additionally, they pursue the development of a process with desirable goals, such as a set of resources or practices, resulting in a more mature organization or system. This study provides an overview of the maturity models’ literature and their main features while employing bibliometric analyses of publications from 2004 through 2014 aiming to identify scientific gaps that would serve as guides for future research. The analyses’ results reveal that maturity models are highly applied in project management seeking for processes and/or systems improvement, and they can also be described as adaptable models which could be used in various research areas, as can be seen in the scientific gaps section. Therefore, the main contribution of this paper is to make the evolution of this subject and its importance better known, thus encouraging the use of maturity model in future researches, seeking the improvement of the current model.

Suggested Citation

  • Thalita Laua Reis & Maria Augusta Siqueira Mathias & Otavio Jose Oliveira, 2017. "Maturity models: identifying the state-of-the-art and the scientific gaps from a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 643-672, February.
    • Handle: RePEc:spr:scient:v:110:y:2017:i:2:d:10.1007_s11192-016-2182-0
    DOI: 10.1007/s11192-016-2182-0
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    References listed on IDEAS

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    1. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    2. Ana Paula dos Santos Rubem & Ariane Lima Moura & João Carlos Correia Baptista Soares de Mello, 2015. "Comparative analysis of some individual bibliometric indices when applied to groups of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1019-1035, January.
    3. Frederik Marx & Felix Wortmann & Jörg Mayer, 2012. "A Maturity Model for Management Control Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(4), pages 193-207, August.
    4. Ole Ellegaard & Johan A. Wallin, 2015. "The bibliometric analysis of scholarly production: How great is the impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1809-1831, December.
    5. Artem Golev & Glen D. Corder & Damien P. Giurco, 2015. "Barriers to Industrial Symbiosis: Insights from the Use of a Maturity Grid," Journal of Industrial Ecology, Yale University, vol. 19(1), pages 141-153, February.
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