Global Mobility Chatbot: Chatbot model to improve mobile employee experience
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/116183 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence |
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Global Mobility Chatbot: Chatbot model to improve mobile employee experienceGlobal MobilityChatbotsRequirements BacklogArtificial IntelligenceDialogflowPrototypingDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceThe Global Mobility Industry is the area that comprehends the emerging internationalization and growth of companies outside borders. Its overall core essence is to support businesses all over the world in setting up operations, by assigning employees in other cities or countries outside the company's headquarters. These operations have intrinsically a set of challenges and opportunities that both companies and employees need to face while on move. To face these challenges and accomplish international move tasks and goals, software houses have been developing over the past years platforms and solutions to face each of the international moves phases. However, it's hard to keep every task, request, event, and everything on track and both accomplishing and managing it can become a struggle when the number of employees on assignment multiplies and grows year after year. The usage of Chatbots is not new in the tech world, but the technology, features, and capabilities of those have been growing and growing, and those are gaining a significant space and importance in a variety of different businesses and social fields, such as sales, real state, eCommerce, customer support, and even marketing and enterprise bots. Its capacity to work as a true virtual assistant, able to respond and support users 24/7, it’s becoming something more and more desirable for every company and employee. This dissertation has the goal to, first, make a deeper research and study on the Global Mobility Industry and the Chatbot usage and development. Defining and stating how helpful and valuable a chatbot could be when integrated with a Global Mobility software solution. By concluding this study, 2 built artifacts will result from it, specifically a backlog full of business requirements to accomplish, and a prototype of the chatbot using one of the top Chatbot enablers platforms in the market. To work and develop the artifacts, this dissertation will follow the design science research methodology, whose evaluation phase will be supported by a user testing session and a structured interview with carefully selected participants, with pre-defined closed and open-ended questions. Everything resulting from this dissertation will leave open space for future enhancements, by incrementing the value and functionalities of the chatbot, and potential real-world application and integration of it in Global Mobility softwares and platforms.Santos, Vitor Manuel Pereira Duarte dosRUNVilela, Tiago André Pimpão2021-04-26T16:35:34Z2021-04-162021-04-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/116183TID:202707644enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:58:40Zoai:run.unl.pt:10362/116183Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:42:59.598694Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Global Mobility Chatbot: Chatbot model to improve mobile employee experience |
title |
Global Mobility Chatbot: Chatbot model to improve mobile employee experience |
spellingShingle |
Global Mobility Chatbot: Chatbot model to improve mobile employee experience Vilela, Tiago André Pimpão Global Mobility Chatbots Requirements Backlog Artificial Intelligence Dialogflow Prototyping |
title_short |
Global Mobility Chatbot: Chatbot model to improve mobile employee experience |
title_full |
Global Mobility Chatbot: Chatbot model to improve mobile employee experience |
title_fullStr |
Global Mobility Chatbot: Chatbot model to improve mobile employee experience |
title_full_unstemmed |
Global Mobility Chatbot: Chatbot model to improve mobile employee experience |
title_sort |
Global Mobility Chatbot: Chatbot model to improve mobile employee experience |
author |
Vilela, Tiago André Pimpão |
author_facet |
Vilela, Tiago André Pimpão |
author_role |
author |
dc.contributor.none.fl_str_mv |
Santos, Vitor Manuel Pereira Duarte dos RUN |
dc.contributor.author.fl_str_mv |
Vilela, Tiago André Pimpão |
dc.subject.por.fl_str_mv |
Global Mobility Chatbots Requirements Backlog Artificial Intelligence Dialogflow Prototyping |
topic |
Global Mobility Chatbots Requirements Backlog Artificial Intelligence Dialogflow Prototyping |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-26T16:35:34Z 2021-04-16 2021-04-16T00:00:00Z |
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/10362/116183 TID:202707644 |
url |
http://hdl.handle.net/10362/116183 |
identifier_str_mv |
TID:202707644 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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