Investigating the Success of Business Intelligence in Aligning Higher Education and Labor Market

International Journal of Computer Trends and Technology (IJCTT)          
© 2019 by IJCTT Journal
Volume-67 Issue-12
Year of Publication : 2019
Authors : Izzeldin A. Elhassan
DOI :  10.14445/22312803/IJCTT-V67I12P112


MLA Style:Izzeldin A. Elhassan  "Investigating the Success of Business Intelligence in Aligning Higher Education and Labor Market" International Journal of Computer Trends and Technology 67.12 (2019):62-70.

APA Style Izzeldin A. Elhassan. Investigating the Success of Business Intelligence in Aligning Higher Education and Labor MarketInternational Journal of Computer Trends and Technology, 67(12),62-70.

The global expansion of Higher Education (HE) and socioeconomic changes exert tremendous pressures on HE and its alignment with labor market. Education-to-employment is a complex process that involves many activities and stakeholders, including HE Institutions (HEIs), policymakers, employers -public and private- as well as students among many others. This paper investigates the value and advantage of adopting Business Intelligence (BI) technologies to enhance decision-making throughout the process. It utilizes a mixed model research approach to develop a basic BI implementation model while exploring the main factors affecting its adoption, and empirically investigating stakeholders’ perception and expectation of its effectiveness. Content analysis techniques and exploratory interviews were used in identifying main characteristic factors affecting adoption and their associated variables. The underlining study is based on a survey instrument administered to three key stakeholder groups, namely, students, graduates, and employers in Sudan. The data analysis clearly supports the research hypothesis that utilizing BI yields reliable information, knowledge-based decisions, improved process, and thus better HE alignment with labor market.

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Business intelligence;higher education;career planning; decision-support, technology adoption.