Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Maturing Maturity Models : A Methodological Extension Using the Analytical Hierarchy Process and Google PageRank

Title data

Linhart, Alexander ; Klaus, Carsten ; Röglinger, Maximilian:
Maturing Maturity Models : A Methodological Extension Using the Analytical Hierarchy Process and Google PageRank.
In: Journal of Decision Systems. Vol. 26 (12 January 2017) Issue 4 . - pp. 307-327.
ISSN 1246-0125
DOI: https://doi.org/10.1080/12460125.2017.1422317

Official URL: Volltext

Related URLs

Abstract in another language

Maturity models are used in various application domains, as they provide well-structured overviews about companies’ as-is situations in a certain discipline due to applying different stages of development. However, maturity models face criticism. Most maturity models structure only their respective field of activity without adding value for decision-making purposes. There is a lack of models for prescriptive purposes that help derive and balance concrete improvement measures. In addition, maturity models are riticized for oversimplifying reality. To address this gap, we propose a methodological extension to enhance maturity models, such that they explicitly account for the importance of multiple capability areas and consider the impact of the interactions among capability areas. To do so, we combine methods from multi-criteria decision-making, that is, the error-adjusted Analytical Hierarchy Process, and from network analytics, that is, the Google PageRank.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: Online first article
Keywords: Maturity Models; Analytical Hierarchy Process; PageRank; Corporate Decision-Making
Institutions of the University: Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management > Professorship Business Information Systems and Value Oriented Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS)
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 25 Jan 2018 13:24
Last Modified: 31 Aug 2018 08:55
URI: https://eref.uni-bayreuth.de/id/eprint/42018