Van Oord Case Study: How effectively can machine learning algorithms predict late invoice payments within Procure-to-Pay (PtP), and what are the implications of deploying controls based on these predictions for enhancing operational efficiency and reducing the incidence of delayed invoice settlements in a corporate setting?

Chan, Chi Hong Adam

2024-09-10

Additional Metadata
Keywords	Thesis, resit
Thesis Advisor	Tsoukalas, Angelos, van der Hagen, Liana
Persistent URL	hdl.handle.net/2105/75328
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Chan, Chi Hong Adam. (2024, September 10). Van Oord Case Study: How effectively can machine learning algorithms predict late invoice payments within Procure-to-Pay (PtP), and what are the implications of deploying controls based on these predictions for enhancing operational efficiency and reducing the incidence of delayed invoice settlements in a corporate setting?. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/75328

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