The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise on
Main Author: | |
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Publication Date: | 2023 |
Format: | Master thesis |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/171262 |
Summary: | Artificial Intelligence is on the rise, and is impacting various sectors, including the BPO and financial sector. This comes with opportunities of various natures, but also with challenges. The research question investigated in the report is how debt collection agencies can capitalise on the trends and developments and the use of artificial intelligence (AI) tools and AI-generated content (AIGC) to stay relevant, and to improve its business process to thus create gain an edge in the market. Debt collection agencies can thus enhance their customisation and increase the innovation created and delivered to their clients. |
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The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise onDebt collectionBusiness process outsourcingArtificial intelligenceAi-generated contentCEMS MIMDomínio/Área Científica::Ciências Sociais::Economia e GestãoArtificial Intelligence is on the rise, and is impacting various sectors, including the BPO and financial sector. This comes with opportunities of various natures, but also with challenges. The research question investigated in the report is how debt collection agencies can capitalise on the trends and developments and the use of artificial intelligence (AI) tools and AI-generated content (AIGC) to stay relevant, and to improve its business process to thus create gain an edge in the market. Debt collection agencies can thus enhance their customisation and increase the innovation created and delivered to their clients.Han, QiweiRUNDinklage, Andreea-Monica2023-06-262029-06-14T00:00:00Z2023-06-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/171262TID:203366697enginfo:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-09-09T01:41:55Zoai:run.unl.pt:10362/171262Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:49:08.880259Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise on |
title |
The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise on |
spellingShingle |
The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise on Dinklage, Andreea-Monica Debt collection Business process outsourcing Artificial intelligence Ai-generated content CEMS MIM Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise on |
title_full |
The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise on |
title_fullStr |
The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise on |
title_full_unstemmed |
The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise on |
title_sort |
The use of artificial intelligence tools and artificial intelligence generated content in debt collection and trends and developments for debt collection agencies to capitalise on |
author |
Dinklage, Andreea-Monica |
author_facet |
Dinklage, Andreea-Monica |
author_role |
author |
dc.contributor.none.fl_str_mv |
Han, Qiwei RUN |
dc.contributor.author.fl_str_mv |
Dinklage, Andreea-Monica |
dc.subject.por.fl_str_mv |
Debt collection Business process outsourcing Artificial intelligence Ai-generated content CEMS MIM Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Debt collection Business process outsourcing Artificial intelligence Ai-generated content CEMS MIM Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
Artificial Intelligence is on the rise, and is impacting various sectors, including the BPO and financial sector. This comes with opportunities of various natures, but also with challenges. The research question investigated in the report is how debt collection agencies can capitalise on the trends and developments and the use of artificial intelligence (AI) tools and AI-generated content (AIGC) to stay relevant, and to improve its business process to thus create gain an edge in the market. Debt collection agencies can thus enhance their customisation and increase the innovation created and delivered to their clients. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-06-26 2023-06-26T00:00:00Z 2029-06-14T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/171262 TID:203366697 |
url |
http://hdl.handle.net/10362/171262 |
identifier_str_mv |
TID:203366697 |
dc.language.iso.fl_str_mv |
eng |
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eng |
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embargoedAccess |
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application/pdf |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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