Systematic review of methodological approaches for designing, assessing and validating business analytics maturity models
Paper
Paper/Presentation Title | Systematic review of methodological approaches for designing, assessing and validating business analytics maturity models |
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Presentation Type | Paper |
Authors | Wong, Wai Yip Freddy (Author), Lane, Michael (Author) and Cockcroft, Sophie (Author) |
Journal or Proceedings Title | Porceedings of the 2021 International Conference on Information Resources Management |
Number of Pages | 12 |
Year | 2021 |
Place of Publication | Austria |
Web Address (URL) of Paper | https://aisel.aisnet.org/confirm2021/7/ |
Conference/Event | 2021 International Conference on Information Resources Management: Digital Transformation in a (Post-)Pandemic World |
Event Details | 2021 International Conference on Information Resources Management: Digital Transformation in a (Post-)Pandemic World Delivery Online Event Date 19 to end of 20 May 2021 Event Location Linz, Austria |
Abstract | Context: Applying maturity models to measure and evaluate Business Analytics (BA) in organisations is challenging. There is a lack of empirical studies on how BA maturity models are designed, assessed and validated to determine how BA contributes to business value. Objective: To report on state of research on BA maturity models (BAMMs) and identify how BAMMs can be empirically (1) designed, (2) assessed and (3) validated. Method: Systematic review of BA maturity model studies focuses on methodological approaches used in design, assessment and validation of BA maturity models. Results: (1) A systematic review resulted in nine papers included for analysis. (2) Within these papers the dominant methodological design approaches for maturity models are Rasch analysis and set theory; (3) assessment approaches are Cluster, Additive Logic, Minimum Constraints using Statistical Squared Distance and Euclidian Distance; and (4) validation approaches are variance techniques using regression, correlation coefficients with tests for statistical significance against self-reported maturity, perceived benefits or performance. Conclusion: This research contributes to a deeper understanding of how BAMMs can be designed, assessed and validated in a rigorous manner. Future research should involve more empirical studies that demonstrate the validity and usefulness of BAMMs in contributing to business value. |
Keywords | Business Analytics, maturity model design, maturity model assessment, maturity model validation, systematic literature review |
ANZSRC Field of Research 2020 | 460902. Decision support and group support systems |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Business |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6637/systematic-review-of-methodological-approaches-for-designing-assessing-and-validating-business-analytics-maturity-models
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