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This paper presents results from an ongoing empirical study that seeks to understand the influence of different quantitative methods on the design and assessment of maturity models. Although there have been many academic publications on maturity models, there exists a significant lack of understanding of the potential impact of (a) choice of the quantitative approach, and (b) scale of measurement on the design and assessment of the maturity model. To address these two methodological issues, we analysed a social media maturity data set and computed maturity scores using different quantitative methods prescribed in literature. Specifically, we employed five methods (Additive, Variance, Cluster, Minimum Constraint, and RASCH) and compared the sensitivity of measurement scale and maturity stages. Based on our results, we propose a set of methodological recommendations for maturity model designers.

Publication information

Original languageEnglish
Title of host publicationECIS 2017 Proceedings
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
Publication date2017
Pages2918-2927
ISBN (Print)978989207655
StatePublished - 2017
EventThe 25th European Conference on Information Systems (ECIS) 2017 - Centro Cultural Vila Flor, Guimarães, Portugal
Duration: 5 Jun 201710 Jun 2017
Conference number: 25
http://www.ecis2017.eu/

Conference

ConferenceThe 25th European Conference on Information Systems (ECIS) 2017
Nummer25
LocationCentro Cultural Vila Flor
LandPortugal
ByGuimarães
Periode05/06/201710/06/2017
Internetadresse
SeriesProceedings / European Conference on Information Systems (ECIS)
Volume2017
ISSN0000-0034

    Research areas

  • Sharing economy, Trust-enhancing signals, Price premium, Discrete choice experiment

ID: 47085720