Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/90163

TítuloOrganizational maturity models: the leading research fields and opportunities for further studies
Autor(es)Kucińska-Landwójtowicz, Aneta
Czabak-Górska, Izabela Dagmara
Domingues, José Pedro Teixeira
Sampaio, Paulo
Carvalho, Carolina Ferradaz de
Palavras-chaveBibliometrics
Management maturity areas
Organizational maturity models
Organizational maturity models classification
Visual mapping
Data2-Jan-2024
EditoraEmerald
RevistaInternational Journal of Quality and Reliability Management
CitaçãoKucińska-Landwójtowicz, A., Czabak-Górska, I. D., Domingues, P., Sampaio, P., & Ferradaz de Carvalho, C. (2023, May 18). Organizational maturity models: the leading research fields and opportunities for further studies. International Journal of Quality & Reliability Management. Emerald. http://doi.org/10.1108/ijqrm-12-2022-0360
Resumo(s)Purpose: The aim of the article is to determine research areas and to recognize the current direction in the development of maturity models, to indicate the key areas of organizational maturity models (OMMs) development and their classification as well as to pinpoint research gaps and areas of potential development of OMMs in the context of scientific research and the needs of management practitioners. Design/methodology/approach: The research was conducted using the literature review method, bibliometric analysis and visual mappings. Findings: The empirical classification developed in this paper identified 12 categories based on management areas, constituting the criteria for classifying OMMs models, where OMMs are being developed: Information Technology, Project Management, Business Management and Strategy, Human Resource, Ergonomics, Health and Safety Management, Industry 4.0 concept, Knowledge Management, Process Management, Performance Management, Quality Management, Supply Chain Management, Risk Management and Innovation Management. Research limitations/implications: The main limitation is the analysis in the scope of topic OMMs including solely the Scopus and Thompson Reuters Web of Science database. Another shortcoming is conducting data analysis and classification based on the abstracts of the selected articles. Originality/value: This work is a starting point to prospect trends for future revolving around the OMMs crossing different databases.
TipoArtigo
URIhttps://hdl.handle.net/1822/90163
DOI10.1108/IJQRM-12-2022-0360
ISSN0265-671X
Versão da editorahttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-12-2022-0360/full/html
Arbitragem científicayes
AcessoAcesso restrito autor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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