Using Business Process Modelling to Improve Student Recruitment in UK Higher Education

  • Oluwatoyin FakoredeEmail author
  • Philip Davies
  • David Newell
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 339)


We consider how the student recruitment process might be improved to optimize performance with particular reference to the clearing process. A Design Science Research (DSR) methodology was used which entails learning through artefact production and data was collected from interviews, observation and document analysis. The logic of the clearing process was modelled using a process-oriented modelling technique. An ‘As Is’ clearing process model was created to analyze the process, and a ‘To Be’ clearing process model developed. The improved model has been verified by domain experts and promises to enhance the clearing process in terms of cost saving and resource utilization.


UK higher education Process modeling Recruitment process Business process improvement BPMN Clearing 


  1. 1.
    Attenda: Delivering a highly successful confirmation and clearing process (2013). Accessed 16 May 2016
  2. 2.
    Universities UK: Patterns and trends in UK higher education (2017). Accessed 24 Jan 2018
  3. 3. (2017). Accessed 19 Nov 2017
  4. 4.
    UCAS: Top ten reasons why clearing is an important route into higher education (2016). Accessed 11 Apr 2018
  5. 5.
    UCAS: Admissions Guide and Decision Processing Manual (2015)Google Scholar
  6. 6.
    Zellner, G.: A structured evaluation of business process improvement approaches. Bus. Process Manag. J. 17(2), 203–237 (2011). Scholar
  7. 7.
    Rashid, O.A., Ahmad, M.N.: Business process improvement methodologies: an overview. J. Inf. Syst. Res. Innov. 5, 45–53 (2014)Google Scholar
  8. 8.
    Aguilar-Saven, R.S.: Business process modelling: review and framework. Int. J. Prod. Econ. 90, 129–149 (2004). Scholar
  9. 9.
    Vergidis, K., Tiwari, A., Majeed, B.: Business process analysis and optimization: beyond engineering. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 38, 69–82 (2007). Scholar
  10. 10.
    Van der Aalst, W.M.P., Ter Hofstede, A.H.M., Weske, M.: Business process management: a survey. In: Conference on Business Process Management (2003)Google Scholar
  11. 11.
    Koubarakis, M., Plexousakis, D.: A formal framework for business process modelling and design. Inf. Syst. 27(5), 299–319 (2002)CrossRefGoogle Scholar
  12. 12.
    Tay, M.: Notations for Business Process (Part 1) – RAD, EPC and BPMN. Accessed 22 Nov 2017
  13. 13.
    Gamil, N.: Process improvement in higher education institutions, Faculty of Science and Technology, Bournemouth University (2015)Google Scholar
  14. 14.
    OMG: Business process model and notation specification version 2.0. (2011). Accessed 18 Oct 2017
  15. 15.
    OMG: The unified modeling language specification version 2.5. (2015). Accessed 18 Oct 2017
  16. 16.
    Weidlich, M., Mendling, J.: Perceived consistency between process models. Inf. Syst. 37(2), 80–98 (2012)CrossRefGoogle Scholar
  17. 17.
    Daurte, D., Martins, P.V.: Higher education business process improvement achieving BPMM level 3. In: 2014 9th International Conference on the Quality of Information and Communications Technology, Portugal, p. 319. Accessed 22 Jan 2018
  18. 18.
    Al-Medlej, H.I.: Decision Making Process in Higher Education Institutions – The Case of Saudi Arabia, Middlesex University (1997)Google Scholar
  19. 19.
    Khabbazi, M.R., Hasan, M.K., Sulaiman, R., Shapi’I, A.: Business process modeling for domain inbound logistics system: analytic perspective with BPMN 2.0. J. Basic Appl. Sci. Res. 3(9), 569–578 (2013). Accessed 20 Jan 2018
  20. 20.
    Silvia, S., Yustianto, P.: Business process improvement of district government innovation service. Case study Cimahi Tengah District of Cimahi. In: 2016 International Conference on Information Technology Systems and Innovation (ICITSI), Bandung, Bali (2016)Google Scholar
  21. 21.
  22. 22.
    Mpardis, G., Kotsilieris, T.: Bank loan process modelling using BPMN. In: Developments in E-Systems Engineering (2010).
  23. 23.
    Vaishnavi, V., Kuechler, B.: Design science research in information systems (2004). Accessed 1 May 2017
  24. 24.
    Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28(1), 75–105 (2004)CrossRefGoogle Scholar
  25. 25.
    Offermann, P., Levina, O., Schonherr, M., Bub, U.: Outline of a design science research process. Accessed 12 Apr 2018
  26. 26.
    Morse, J.M., Barret, M., Mayan, M., Olson, K., Spiers, J.: Verification strategies for establishing reliability and validity in qualitative research. Int. J. Qual. Methods 1(2), 13–22 (2002). Scholar
  27. 27.
    Higher Education Steering Group. Fair Admissions to Higher Education: Recommendations for Good Practice. Accessed 20 Sept 2017
  28. 28.
    Bowen, G.A.: Document analysis as a qualitative research method. Qual. Res. J. 9(2), 27–40 (2009)CrossRefGoogle Scholar
  29. 29.
    Mill, C.: Comparison of research methods (2015). Accessed 13 June 2017
  30. 30.
    Personal attendance at clearing event at a UK University, 14 August 2017Google Scholar
  31. 31.
    Lambert, M.: A Beginners Guide to Doing Your Education Research Project. SAGE Publications, London (2012)Google Scholar
  32. 32.
    Aguilar, M., Rautert, T., Pater, A.: Business process simulation: a fundamental step supporting process centered management. In: Winter Simulation, pp. 1383–1392. ACM, Phoenix (1999)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Oluwatoyin Fakorede
    • 1
    Email author
  • Philip Davies
    • 1
  • David Newell
    • 1
  1. 1.Department of Computing and Informatics, Faculty of Science and TechnologyBournemouth UniversityPooleUK

Personalised recommendations