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dc.contributor.authorBlaschczok, Vinzent
dc.contributor.authorVerster, Tanja
dc.contributor.authorBroderick, Alan
dc.date.accessioned2018-08-22T10:53:59Z
dc.date.available2018-08-22T10:53:59Z
dc.date.issued2018
dc.identifier.citationBlaschczok, V. et al. 2018. Review of innovations in the South African collection industry. South African journal of science, 114(7/8): Article no 2017-0360. [https://doi.org/10.17159/sajs.2018/20170360]en_US
dc.identifier.issn0038-2353
dc.identifier.issn1996-7489 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/30775
dc.identifier.urihttps://doi.org/10.17159/sajs.2018/20170360
dc.identifier.urihttps://www.sajs.co.za/article/view/4383/6988
dc.description.abstractThe objective of this review was to provide an overview of new developments and innovations within the collections industry that could possible enhance the performance of collection agencies, specifically in South Africa. A literature study was conducted to determine current practices in the collections industry, as well as possible future innovations. A significant trend identified throughout the literature study was the increasing prioritisation of automated digital communication in several aspects of debt collection. It is reasonable to assume that this trend will continue to become the industry standard. Four recommendations are made based on the findings of the literature study. Firstly, South African collection agencies should investigate the feasibility of developing an app-based solution to performing collections. Secondly, collection agencies should supplement traditional modelling techniques with other tools, such as those developed in the field of machine learning. Thirdly, collection agencies could consider using speech analytics to obtain insights into call centre agents’ performance and adherence to business rules. Lastly, the usage of social media data in collections as well as credit risk modelling in general is recommended as a topic for future studyen_US
dc.language.isoenen_US
dc.publisherASSAfen_US
dc.subjectDebt collectingen_US
dc.subjectCredit risk modellingen_US
dc.subjectMachine learningen_US
dc.subjectCollection strategiesen_US
dc.subjectSocial mediaen_US
dc.titleReview of innovations in the South African collection industryen_US
dc.typeArticleen_US
dc.contributor.researchID10943587 - Verster, Tanja
dc.contributor.researchID24326992 - Blaschczok, Vinzent E.


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