Assessing the maturity of business intelligence of academic libraries; the design science approach

Document Type : Original Article

Authors

1 PhD Student , Information Technology Management , the Department of Management and Economics Tarbiat Modares University , Tehran , Iran.

2 Full Prof. in Information Technology Management , the Department of Management and Economics Tarbiat Modares University , Tehran , Iran.

3 Full Professor in Knowledge and information science, the Department of Management and Economics ,Tarbiat Modares University,Tehran ,Iran

4 Full Prof. in Management, Faculty of Management-University of Tehran,Tehran, Iran

Abstract

Purpose: This study aimed to develop and evaluate a business intelligence maturity model for academic libraries. It sought to identify the key dimensions and indicators of business intelligence and provide a framework for determining maturity levels and assessing the business intelligence maturity of academic libraries.
Methodology: This study employed a mixed-methods (qualitative-quantitative) approach within a design science framework. In the qualitative phase, a meta-synthesis of previous studies was conducted to identify the components and indicators of business intelligence. Drawing on the principles of capability maturity models, an initial maturity model was then developed across five levels: Initial, Repeatable, Defined, Managed, and Optimized. In the quantitative phase, a questionnaire and the fuzzy Delphi technique were used to validate the dimensions, maturity levels, and indicators of the proposed model based on expert judgments. Following the incorporation of expert feedback, the final model was evaluated in terms of accuracy, quality, usefulness, and applicability. Finally, the business intelligence maturity of the University of Tehran libraries was assessed using the final model.
Findings: The proposed model comprises four main categories—technology, human resources, organization, and processes—encompassing 16 dimensions and 72 indicators. The assessment of the University of Tehran libraries showed that business intelligence maturity in the technology, organization, and process categories was at Level 2, whereas the human resources category was at Level 3. These findings indicate that business intelligence maturity is not uniform across the different categories and that achieving higher maturity levels requires balanced development across technological, organizational, process, and human dimensions.
Conclusion: The proposed model provides a systematic set of dimensions and indicators for assessing business intelligence maturity in academic libraries and identifying areas requiring improvement. The assessment of the University of Tehran libraries indicates that, although some components have reached a higher level of maturity, further advancement requires simultaneous attention to technological infrastructure, human resource capabilities, organizational structures, and managerial processes. Therefore, the proposed model can serve as a practical framework for assessing the current state of business intelligence, identifying maturity gaps, and planning improvement initiatives in academic libraries.

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Main Subjects

References

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Sciences and Techniques of Information Management
Volume 12, Issue 3
March 2026
Pages 173-200

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