[1] NCAAA, Institutional accreditation stards 2018 [Online]. Available, https:etec.gov.saarproductsservicesNCAAAAccreditationPagesAccreditationstardsdeve.aspx, May 2021.
[2] NCAAA, Key perfmance indicats f higher education institutions, 2022 [Online]. Available, https:spapi.etec.gov.sa:2443arMediaAssetsDI101%20Institutional%20KPIS%20Ar.pdfcsf=1&e=Nmm1C6, December 2023.
[4] K.C. Laudon, J.P. Laudon, Management Infmation Systems: Managing the Digital Firm, 15th ed., Pearson, Boston, 2017.
[5] A. Sour, A.S. Atkins, C. Stanier, F. Alharbi, R. Campion, The development of business intelligence dashboard f moniting quality in higher education institutions in Saudi Arabia including sentiment analysis from social media, in: Proc. of 16th Intl. Technology, Education Development Conf., Online, 2022, pp. 1391–1399.
[6] King Saud University, Quality assurance system manual 2 [Online]. Available, https:dqd.ksu.edu.sasitesdqd.ksu.edu.safilesattachdlyl_nzm_dr_ljwd2true_arabic_qms_2.pdf, December 2023.
[7] A. Sour, A.S. Atkins, C. Stanier, F. Alharbi, R. Campion, Quality moniting with business intelligence dashboards in higher educational institutions using NVIVO approach to suppt qualitative analysis, in: Proc. of 14th Annu. Intl. Conf. of Education, Research Innovation, Online, 2021, pp. 897–904.
[8] A. Sour, A.S. Atkins, C.F. Stanier, F.D. Alharbi, Comparative framewks f moniting quality assurance in higher education institutions using business intelligence, in: Proc. of Intl. Conf. on Computing Infmation Technology, Tabuk, 2020, pp. 1–5.
[10] Maroufkhani P., Tseng M.L., Iranmanesh M., Ismail W.K.W., Khalid H.. Big data analytics adoption: Determinants and performances among small to medium-sized enterprises. Int. J. Inform. Manage., 54, 102190:1-15(2020).
[11] A.A. Alaboudi, A.S. Atkins, B. Sharp, A holistic framewk f assisting decision makers of healthcare facilities to assess telemedicine applications in Saudi Arabia, in: Proc. of 7th Intl. Conf. on eHealth, Telemedicine, Social Medicine, Lisbon, 2015, pp. 203–208.
[12] A. Tashki, I. AlJabri, Cloud computing adoption by higher education institutions in Saudi Arabia: Analysis based on TOE, in: Proc. of Intl. Conf. on Cloud Computing, Riyadh, 2015, pp. 1–8.
[13] A. Sour, A. Atkins, C. Stanier, F. Alharbi, R. Campion, Integrated dashboards with social media analysis capabilities f moniting quality in higher education institutions, in: Proc. of 12th Intl. Conf. on Education New Learning Technologies, Online, 2020, pp. 2862–2870.
[14] U. Sekaran, R. Bougie, Research Methods F Business: A Skill Building Approach, 7th ed., Wiley, Chichester, 2016.
[15] T.A. Ping, C.V. Chinn, L.Y. Yin, R. Muthuveloo, The impact of infmation technology capability, business intelligence use collabation capability on ganizational perfmance among public listed companies in Malaysia, Global Bus. Manage. Res. An Intl. J. 10 (1) (2018) 293–312.
[16] J.F. Hair, R.E. erson, R.L. Tatham, W.C. Black, Multivariate Data Analysis, 4th ed., Prentice Hall, Englewood Cliffs, 1995.
[17] Williams B., Onsman A., Brown T.. Exploratory factor analysis: A five-step guide for novices. Australasian Journal of Paramedicine, 8, 1-13(2010).
[18] A.S. Haris, H. Washizaki, Y. Fukazawa, Utilization of ICTs in quality assurance accreditation of higher education: Systematic literature review, in: Proc. of IEEE 6th Intl. Conf. on Teaching, Assessment, Learning f Engineering, Hong Kong, China, 2017, pp. 354–359.
[20] T.A. Brown, Confirmaty Fact Analysis f Applied Research, The Guilfd Press, New Yk, 2006.
[21] Shek D.T.L., Yu L.. Confirmatory factor analysis using AMOS: A demonstration. Int. J. Disabil. Hum. De., 13, 191-204(2014).
[22] Kim T.K.. T test as a parametric statistic. Korean J. Anesthesiol., 68, 540-546(2015).
[23] F. Matsebula, E. Mnkla, A big data architecture f learning analytics in higher education, in: Proc. of IEEE AFRICON, Cape Town, 2017, pp. 951–956.
[24] S. Jha, M. Jha, L. O’Brien, A step towards big data architecture f higher education analytics, in: Proc. of 5th AsiaPacific Wld Congress on Computer Science Engineering, Nadi, 2018, pp. 178–183.
[25] R.G. Qiu, R.R. Ravi, L.L. Qiu, Aggregating visualizing public opinions sentiment trends on the US higher education, in: Proc. of 17th Intl. Conf. on Infmation Integration Webbased Applications & Services, Brussels, 2015, p. 33.
[26] R.G. Qiu, H. Ha, R. Ravi, L. Qiu, Y. Badr, A big data based smart evaluation system using public opinion aggregation, in: Proc. of 18th Intl. Conf. on Enterprise Infmation Systems, Setubal, 2016, pp. 520–527.
[28] A. Sour, A.S. Atkins, C.F. Stanier, F.D. Alharbi, The role of business intelligence analytics in higher education quality: A proposed architecture, in: Proc. of Intl. Conf. on Advances in the Emerging Computing Technologies, Al Madinah Al Munawwarah, 2019, pp. 1–6.
[29] Y.Q. Li, P. Li, F. Zhu, R.C. Wang, Design of higher education quality moniting evaluation platfm based on big data, in: Proc. of 12th Intl. Conf. on Computer Science Education, Houston, 2017, pp. 337–342.
[30] Qassim University, Annual rept f academic year 1442H, 2020–2021, 2021 [Online]. Available, https:pdq.qu.edu.salaravelfilemanagerfilesshares%D8%A7%D9%84%D8%AA%D9%82%D8%B1%D9%8A%D8%B1modified%20%D8%A7%D9%84%D8%B3%D9%86%D9%88%D9%8A%20%D9%84%D9%84%D8%B9%D8%A7%D9%85%20%D8%A7%D9%84%D8%AC%D8%A7%D9%85%D8%B9%D9%8A%201442%20(%D9%84%D9%84%D9%86%D8%B4%D8%B1%20).pdf, December 2023.
[33] R. Somya, D. Manongga, M.A.I. Pakereng, Serviceiented business intelligence (SoBI) f academic financial data integration in university, in: Proc. of Intl. Seminar on Application f Technology of Infmation Communication, Semarang, 2018, pp. 1–5.
[34] D. Bentley, Business Intelligence Analytics, Larsen & Keller, New Yk, 2017.
[35] J. Prem, Your guide f starting online business with vital tips, Dr Prem Digital Marketing, 2020 [Online]. Available, https:drprem.comdigitalmarketingpracticaltipsfstartinganonlinebusiness, December 2023.
[36] M. Paulussen, Smart SelfService Business Intelligence Framewk, M.S. thesis, Dept. of Business Economics, Maastricht Univ., Maastricht, herls, 2018.
[37] D.V. Damme, Trends models in international quality assurance accreditation in higher education in relation to trade in education services, High. Educ. Manag. Pol. 2002, doi: 10.1787hempv14art21en.
[38] M. Maryska, P. Doucek, Selfservice business intelligence, in: Proc. of 20th Intl. Conf. on Infmation Technology f Practice, Ostrava, 2017, pp. 259–270.
[39] M.F. Tutunea, R.V. Rus, Business intelligence solutions f SME’s, Procedia Econ. Finance 3 (2012) 865–870.
[40] E. Ayoubi, S. Aljawarneh, Challenges opptunities of adopting business intelligence in SMEs: Collabative model, in: Proc. of 1st Intl. Conf. on Data Science, ELearning Infmation Systems, Madrid, 2018, p. 42.
[41] W. Noonpakdee, T. Khunknsiri, A. Phothichai, K. Danaisawat, A framewk f analyzing developing dashboard templates f small medium enterprises, in: Proc. of 5th Intl. Conf. on Industrial Engineering Applications, Singape, 2018, pp. 479–483.
[42] J. Sluijter, M. Otten, Business intelligence (BI) f personalized student dashboards, in: Proc. of 7th Intl. Learning Analytics & Knowledge Conf., Vancouver, 2017, pp. 562–563.
[44] Qassim University, University strategy 2020–2025 [Online]. Available, https:spm.qu.edu.salaravelfilemanagerfilessharesuniversity_strategy_v1.pdf, December 2023.
[45] Majmaah University, Key perfmance indicats manual f the second strategy plan, 2020 [Online]. Available, https:m.mu.edu.sasitesdefaultfiles2020122020%20mu_0_0.pdf, December 2023.
[46] C. Howson, Successful Business Intelligence: Secrets to Making BI a Killer App, McGraw Hill, New Yk, 2008.
[47] M. Dyczkowski, J. Kczak, H. Dudycz, Multicriteria evaluation of the intelligent dashboard f SME managers based on scecard framewk, in: Proc. of Federated Conf. on Computer Science Infmation Systems, Warsaw, 2014, pp. 1147–1155.