@article{custodiobachiller2022process,
  title = {Process Managing the Study Abroad Experience: An Innovative Framework},
  author = {Yvonne Custodio-Bachiller and Peter Busch and Gustavo Guzman},
  year = 2022,
  url = {https://ibimapublishing.com/articles/JOKM/2022/489606/},
  journal = {Journal of Organizational Knowledge Management},
  volume = 2022,
  pages = 41,
  doi = 10.5171/2022.489606,
  abstract = {In the fast-changing business landscape, the challenge to emulate breakthroughs to improve process efficiency and productivity while increasing organization value has become a priority of most organizations. Ultimately, the aim is to meet business objectives, staying competitive by building the worth of organizations to its customers, while minimizing costs. Managing business processes effectively has been a prime objective to maintain competitiveness and sustain peak performance, which can be improved by leveraging innovative technologies. Such technologies can include artificial intelligence (AI) and algorithms in machine learning (ML), while amalgamating business processes to provide a sophisticated form of optimization and visualization for identifying inefficiencies, enhancement opportunities and measuring the effectiveness of implemented business process improvement initiatives. This study generates a novel conceptual framework using a Business Process Management (BPM) solution by adopting AI and ML algorithms in the higher education sector. The scenario in this paper is a student study abroad application cycle of an Australian university. Leveraging ML and AI data driven decision and process mining capabilities to develop a novel BPM framework will lead to a university’s strategic process improvement becoming more profitable, cost-effective and trustworthy, thereby enhancing the value of the organization and improving a student’s international mobility experience.},
  keywords = {international education, business process management, process mining, business intelligence, process improvement.},
  note = Article ID: 489606
}