Using business process modelling to improve student recruitment in UK higher education
Authors: Fakorede, O., Davies, P. and Newell, D.
Journal: Lecture Notes in Business Information Processing
Volume: 339
Pages: 124-135
ISBN: 9783030048488
ISSN: 1865-1348
DOI: 10.1007/978-3-030-04849-5_11
Abstract: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.
https://eprints.bournemouth.ac.uk/32032/
Source: Scopus
Using Business Process Modelling to Improve Student Recruitment in UK Higher Education
Authors: Fakorede, O., Davies, P. and Newell, D.
Journal: BUSINESS INFORMATION SYSTEMS WORKSHOPS (BIS 2018)
Volume: 339
Pages: 124-135
eISSN: 1865-1356
ISBN: 978-3-030-04848-8
ISSN: 1865-1348
DOI: 10.1007/978-3-030-04849-5_11
https://eprints.bournemouth.ac.uk/32032/
Source: Web of Science (Lite)
Using business process modelling to improve student recruitment in UK higher education
Authors: Fakorede, O., Davies, P. and Newell, D.
Journal: Lecture Notes in Business Information Processing
Volume: 339
Pages: 124-135
Publisher: Springer Nature
ISSN: 1865-1348
DOI: 10.1007/978-3-030-04849-5_11
https://eprints.bournemouth.ac.uk/32032/
Source: Manual
Using business process modelling to improve student recruitment in UK higher education
Authors: Fakorede, O., Davies, P. and Newell, D.
Conference: BIS 2018: 21st International Conference on Business Information Systems
Volume: 339
Pages: 124-135
ISSN: 1865-1348
Abstract: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.
https://eprints.bournemouth.ac.uk/32032/
http://bis.ue.poznan.pl/bis2018/
Source: BURO EPrints