Whose Maturity is it Anyway?: The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models

Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer review

Resumé

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.
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.

Konference

KonferenceThe 25th European Conference on Information Systems (ECIS) 2017
Nummer25
LokationCentro Cultural Vila Flor
LandPortugal
ByGuimarães
Periode05/06/201710/06/2017
Internetadresse
NavnProceedings of the European Conference on Information Systems
ISSN0000-0034

Emneord

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

Citer dette

Lasrado, L. A., Vatrapu, R., & Mukkamala, R. R. (2017). Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. I ECIS 2017 Proceedings (s. 2918-2927). Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). Proceedings of the European Conference on Information Systems
Lasrado, Lester Allan ; Vatrapu, Ravi ; Mukkamala, Raghava Rao. / Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. ECIS 2017 Proceedings. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2017. s. 2918-2927 (Proceedings of the European Conference on Information Systems).
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title = "Whose Maturity is it Anyway?: The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models",
abstract = "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.",
keywords = "Sharing economy, Trust-enhancing signals, Price premium, Discrete choice experiment, Sharing economy, Trust-enhancing signals, Price premium, Discrete choice experiment",
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Lasrado, LA, Vatrapu, R & Mukkamala, RR 2017, Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. i ECIS 2017 Proceedings. Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Proceedings of the European Conference on Information Systems, s. 2918-2927, The 25th European Conference on Information Systems (ECIS) 2017, Guimarães, Portugal, 05/06/2017.

Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. / Lasrado, Lester Allan ; Vatrapu, Ravi; Mukkamala, Raghava Rao.

ECIS 2017 Proceedings. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2017. s. 2918-2927.

Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - Whose Maturity is it Anyway?

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AU - Vatrapu,Ravi

AU - Mukkamala,Raghava Rao

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Sharing economy

KW - Trust-enhancing signals

KW - Price premium

KW - Discrete choice experiment

KW - Sharing economy

KW - Trust-enhancing signals

KW - Price premium

KW - Discrete choice experiment

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Lasrado LA, Vatrapu R, Mukkamala RR. Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. I ECIS 2017 Proceedings. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2017. s. 2918-2927. (Proceedings of the European Conference on Information Systems).