Systematic review of methodological approaches for designing, assessing and validating business analytics maturity models

Wong, Wai Yip Freddy and Lane, Michael ORCID: https://orcid.org/0000-0001-6534-4902 and Cockcroft, Sophie ORCID: https://orcid.org/0000-0002-6033-0947 (2021) Systematic review of methodological approaches for designing, assessing and validating business analytics maturity models. In: 2021 International Conference on Information Resources Management: Digital Transformation in a (Post-)Pandemic World, 19-20 May 2021, 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Virtual conference.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Business (18 Jan 2021 -)
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions - Rural Economies Centre of Excellence (1 Aug 2018 -)
Date Deposited: 15 Jun 2021 23:47
Last Modified: 15 Jun 2021 23:48
Uncontrolled Keywords: Business Analytics, maturity model design, maturity model assessment, maturity model validation, systematic literature review
Fields of Research (2008): 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460902 Decision support and group support systems
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Socio-Economic Objectives (2020): 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220408 Information systems
URI: http://eprints.usq.edu.au/id/eprint/42214

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