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

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

MLA

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.

Abstract
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.

Reference
[1] The World Bank, ―Higher education in developing countries: Peril and promise‖, Washington, DC, 2000, 138.
[2] F. Teal, ―Higher education and economic development in Africa: a review of channels and interactions‖, Journal of African Economies, 2011, 20: 50-79.
[3] D. E. Bloom, D. Canning,and K. Chan, ―Higher education and economic development in Africa‖,World Bank Publications on Higher Education, edited by Harvard University, 2006, Vol.102.
[4] United Nations (UN),―World’s population increasingly urban with more than half living in urban areas‖, 2018, [Online]. retrieved from https://www.un.org/development/desa/publications/2018- revision-of-world-urbanization-prospects.html
[5] International Labor Organization (ILO),―World Employment and Social Outlook: Trends 2019‖,13February 2019,[Online]. retrieved from: https://www.ilo.org/global/research/globalreports/ weso/2019/WCMS_670542/lang--ja/index.htm
[6] D. Pool, and P. Sewell, ―The key to employability: developing a practical model of graduate employability‖, Education + Training, 49: 277-89, 2017.
[7] J. Cleary, and M. Van Noy, ―A Framework for Higher Education Labor Market Alignment: Lessons and Future Directions in the Development of Jobs-Driven Strategies‖, John J. Heldrich Center for Workforce Development, 2014.
[8] J. Negash, Solomon, and P. Gray, ―Business Intelligence‖ Handbook on decision support systems 2. Springer, Berlin, Heidelberg, 2008, pp 175-193.
[9] C. M. Olszak, and Z. Ewa,―Approach to Building and Implementing Business Intelligence Systems‖, Interdisciplinary Journal of Information, Knowledge and Management, 2007, 2: 135-48.
[10] G. Hughes, and D. Chelsea,―'The Utilization of Data Analysis Techniques in Predicting Student Performance in Massive Open Online Courses (MOOCs)‖, Research and Practice in Technology Enhanced Learning, 2015 10: 1-18.
[11] S. Sujitparapitaya,A. Shirani, and M. Roldan, ―Business Intelligence Adoption in Academic Administration: An Empirical Investigation‖,Issues in Information Systems, 13, 2012, 2: 112-122.
[12] W. D. Amburgey, and J. Yi, ―Using Business Intelligence in College Admissions: A Strategic Approach‖, International Journal of Business Intelligence Research, 2011, 2,1: 1-15.
[13] A. Mutanga, ―A Context-Based Business Intelligence Solution for South African Higher Education‖, Journal of Industrial and Intelligent Information, 2015, 3-2: 119-25.
[14] T. Chee, L. K. Chan, M. H. Chuah, C. S. Tan, S. F. Wong, andW. Yeoh, ―Business Intelligence Systems: State-of-the-art Review and Contemporary Applications‖, inSymposium on Progress in Information and Communication Technology, 2009, Vol. 2, No. 4, 16-30.
[15] B. L. Berg, Qualitative Research Methods for the Social Sciences, 7th edition, Allyn and Bacon, Boston, MA, 2004.
[16] I. Elhassan, and F. Klett, ―Bridging Higher Education and Market Dynamics in a Business Intelligence Framework,‖ IEEE Developments of E-Systems Engineering (DeSE), 2015, 198-203.
[17] R. B. Johnson, and A. J. Onwuegbuzie, ―Mixed Methods Research: A Research Paradigm Whose Time Has Come.‖ Educational Researcher, vol. 33, no. 7, 2004, pp. 14–26. JSTOR, www.jstor.org/stable/3700093.
[18] 2019-2020 Higher Education Admission Guide, Directorate of Admission & Certificates Verification & Accreditation (DACVA),Ministry of Higher Education and Scientific Research (MHESR), [Online]. Accessed on December4, 2019. http://daleel.admission.gov.sd.
[19] Electronic Application Guide, National Civil Service Recruitment Commission (NCSRC), [Online]. Accessed on December 4, 2019. http://sudarecboard.gov.sd.
[20] W. Yeoh, and A. Koronios, ―Critical Success Factors for Business Intelligence Systems‖, Journal of Computer Information Systems, 2010, 50: 23-32.
[21] R. Gaardboe, and T. Svarre, ―Business Intelligence Success Factors: A Literature Review‖, Journal of Information Technology Management, 2018, 29: 15.
[22] T. E. Yoon, B. Ghosh, andB. K. Jeong, ―User Acceptance of Business Intelligence (BI) Application: Technology, Individual Difference, Social Influence, and Situational Constraints‖,in 47th Hawaii International Conference on System Sciences,2014, 3758-3766.
[23] B. E. Stern, and W. Sederburg, ―State Best Practices for Aligning Educational Supply with Occupational Demand‖,2014, Education Views.
[24] IBM Corporation, ―IBM SPSS Statistics Version 21 Core System User’s Guide,‖, January 2018, retrieved from IBM Documentation at: http://www- 01.ibm.com/support/docview.wss?uid=swg27024972
[25] Sudan 2013 Labor Force Survey (LFS), International Labor Organization (ILO)and the Ministry of Labor and Administrative Reform (MLAR), 2013.
[26] Annual Higher Education Statistical Report, Ministry of Higher Education and Scientific Research (MHESR), 2015- 2016 Academic Year, Khartoum, Sudan.

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