Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards

作     者：Ali Sorour Anthony S.Atkins Ali Sorour;Anthony S.Atkins

作者机构：Faculty of DigitalTechnologyInnovationand BusinessStaffordshire UniversityStoke-on-TrentST42DEUnited Kingdom 

出 版 物：《Journal of Electronic Science and Technology》 (电子科技学刊（英文版）)

年 卷 期：2024年第22卷第1期

页      面：25-41页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：A holistic framework for monitoring quality in HEIs using BI dashboards in the KSA (HF-HEQ-BI) was introduced previously . The holistic framework and the prototype dashboard developed from the framework must therefore also be able to support additional KPIs if required by the institution. There was a need to identify the requirements to design the BI system  which assist decision-makers to monitor compliance with QA standards in HEIs. It was also necessary to identify the factors that HEIs must monitor and consider while developing the BI system for QA monitoring in the KSA. An extensive literature review identified 52 studies that discussed QA in HE using BI systems   indicating that there are 45 factors identified. However  none of these studies indicated the role of social media in QA monitoring using BI dashboards. A hybrid framework has been developed through the systematic literature review conducted using five main pillars (technology-organisation-environment-business-social) based on the information system strategic triangle  technology-organisation-environment (TOE) framework  and human  organisation and technology-fit to provide the theoretical underpinning background [ 9–12]. Alharbi et al. and Maroufkhani et al. used TOE  diffusion of innovation  and resource-based view theoretical frameworks for small and medium sized enterprises (SMEs). Alaboudi et al. developed a framework to support decision making for healthcare organisations for telemedicine networks in the KSA  and Tashkandi and Al-Jabri used TOE to investigate the adoption of cloud computing in HE 

主　　题：Big data Business intelligence(BI) Dashboards Higher education(HE) Quality assurance(QA) Social media 

摘      要：As big data becomes an apparent challenge to handle when building a business intelligence(BI)system,there is a motivation to handle this challenging issue in higher education institutions(HEIs).Monitoring quality in HEIs encompasses handling huge amounts of data coming from different *** paper reviews big data and analyses the cases from the literature regarding quality assurance(QA)in *** also outlines a framework that can address the big data challenge in HEIs to handle QA monitoring using BI dashboards and a prototype dashboard is presented in this *** dashboard was developed using a utilisation tool to monitor QA in HEIs to provide visual representations of big *** prototype dashboard enables stakeholders to monitor compliance with QA standards while addressing the big data challenge associated with the substantial volume of data managed by HEIs’QA *** paper also outlines how the developed system integrates big data from social media into the monitoring dashboard.