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Quality Monitoring with Business Intelligence Dashboards in Higher Educational Institutions using NVivo Approach to Support Qualitative Analysis

Sorour, A, ATKINS, Anthony, STANIER, Clare, Alharbi, F and CAMPION, Russell (2021) Quality Monitoring with Business Intelligence Dashboards in Higher Educational Institutions using NVivo Approach to Support Qualitative Analysis. In: ICERI2021 Proceedings. IATED, pp. 897-904. ISBN 978-84-09-34549-6 (In Press)

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Abstract or description

Quality Monitoring in Higher Education (HE) is an important function which requires considerable resources in order to assure quality. Business Intelligence dashboards can help decision-makers in Higher Education Institutions (HEIs) by providing them with real-time monitoring of their service quality to meet quality assurance standards imposed by the government of the country concerned. A holistic framework for monitoring quality in Higher Education using business intelligence dashboards (HF-HEQBI) has been proposed based on a previous literature study. This paper outlines the validation of the proposed framework which used qualitative interviews with a panel of experts to gather their opinion about the factors that affect the design of business intelligence dashboards for monitoring quality in Higher Education. Qualitative data gathered through interviews has been analysed using Computer Assisted Qualitative Data Analysis Software (CAQDAS) using NVivo 12 to analyses the interview data. A modified holistic framework for monitoring quality in Higher Education using business intelligence dashboards (HF-HEQ-BI) has been presented based on the results of the qualitative analysis

Item Type: Book Chapter, Section or Conference Proceeding
Additional Information: 14th annual International Conference of Education, Research and Innovation - 8th - 9th of November, 2021.
Uncontrolled Keywords: Business Intelligence, Dashboard, Higher Education, Quality assurance, Qualitative analysis, NVivo12.
Faculty: School of Digital, Technologies and Arts > Computer Science, AI and Robotics
Event Title: 14th annual International Conference of Education, Research and Innovation
Event Dates: 08-10 November 2020
Depositing User: Anthony ATKINS
Date Deposited: 19 Nov 2021 15:23
Last Modified: 19 Nov 2021 15:23
URI: https://eprints.staffs.ac.uk/id/eprint/7080

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