Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/25521
Author(s): Cardoso, E.
Su, X.
Date: 2022
Title: Designing a Business Intelligence and Analytics Maturity Model for higher education: A design science approach
Volume: 12
Number: 9
Collection title and number: Computing and Artificial Intelligence
ISSN: 2076-3417
DOI (Digital Object Identifier): 10.3390/app12094625
Keywords: Maturity models
Business intelligence
Analytics
Higher education
Design science research
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.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:CIES-RI - Artigos em revistas científicas internacionais com arbitragem científica

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