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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 on

Bibliographic Details
Main Author: Dinklage, Andreea-Monica
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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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling 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
language eng
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repository.mail.fl_str_mv info@rcaap.pt
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