Scientific journal paper Q1
Designing a Business Intelligence and Analytics Maturity Model for higher education: A design science approach
Elsa Cardoso (Cardoso, E.); Xiaomeng Su (Su, X.);
Journal Title
Applied Sciences
Year (definitive publication)
2022
Language
English
Country
Switzerland
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Abstract
Business Intelligence and Analytics (BIA) systems play an essential role in organizations, providing actionable insights that enable business users to make more informed, data-driven decisions. However, many Higher Education (HE) institutions do not have accessible and usable models to guide them through the incremental development of BIA solutions to realize the full potential value of BIA. The situation is becoming ever more acute as HE operates today in a complex and dynamic environment brought forward by globalization and the rapid development of information technologies. This paper proposes a domain-specific BIA maturity model (MM) for HE–the HE-BIA Maturity Model. Following a design science approach, this paper details the design, development, and evaluation of two artifacts: the MM and the maturity assessment method. The evaluation phase comprised three case studies with universities from different countries and two workshops with practitioners from more than ten countries. HE institutions reported that the assessment with the HE-BIA model was (i) useful and adequate for their needs; (ii) and contributed to a better understanding of the current status of their BIA landscape, making it explicit that a BIA program is a technology endeavor as well as an organizational development.
Acknowledgements
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Keywords
Maturity models,Business intelligence,Analytics,Higher education,Design science research
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
Funding Reference Funding Entity
UIDB/03126/2020 Fundação para a Ciência e a Tecnologia

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