Dashboards in smart city’s sustainability performance measurement through business intelligence

Detalhes bibliográficos
Autor(a) principal: Mota, André Ricardo de Carvalho
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/10362/123234
Resumo: Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Dashboards in smart city’s sustainability performance measurement through business intelligenceSmart citiesPerformance DashboardsSustainabilityBusiness IntelligenceSustainable DevelopmentBalanced ScorecardPerformance Measurement SystemCorporate SustainabilityProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligencePeople’s concentration in urban areas is causing our society significant challenges because of a high populational density in mega-cities. These mega-cities cannot meet and balance their inhabitants’ needs, making it hard to develop an economy to increase their quality of life and improve cities’ surrounding environment and social communities. For cities to grow, considering the three pillars proposed by the sustainable development concept, which traces back to 1980 and supported by OECD, these cities building must meet today's society’s needs without risking future generations’ needs. Following the smart city concept means that decisions taken now must consider the impact on the economy, environment, and society altogether to avoid putting at risk the needs of today’s society, especially its future generations’ well-being. OECD expects this concept to change society’s view on its relationship with the world, hoping the community understands that our planet is an ecosystem that provides vital services. These critical services comprise food, clean water, oxygen, bacterial waste processing, citing a few, and conclude that its survival depends on the environment. The smart city concept aims to address these issues through the simultaneous management of these three pillars and is gaining strength with the latest technological development because it leverages information and communication technologies to collect data to monitor cities’ growth. Besides, smart cities can play a vital role in the world’s climate change by reducing carbon footprint and the usage of cities’ non-renewable energy sources while socially developing its communities and promoting equity between its inhabitants. However, for smart cities to realize all the benefits it proposes, the data collected must support informed decisions. This master project uses business intelligence methods, technologies, and tools to create a strategic performance dashboard using a correlational study based on data made available at European Commission’s Eurostat portal. Business performance management principles guide the strategic dashboard creation to monitor smart city strategic performance under the light of the triple bottom line concept.Neto, Miguel de Castro Simões FerreiraRUNMota, André Ricardo de Carvalho2021-08-27T15:00:25Z2021-07-262021-07-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/123234TID:202758435enginfo: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:RCAAP2024-03-11T05:04:38Zoai:run.unl.pt:10362/123234Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:59.824851Repositório 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 Dashboards in smart city’s sustainability performance measurement through business intelligence
title Dashboards in smart city’s sustainability performance measurement through business intelligence
spellingShingle Dashboards in smart city’s sustainability performance measurement through business intelligence
Mota, André Ricardo de Carvalho
Smart cities
Performance Dashboards
Sustainability
Business Intelligence
Sustainable Development
Balanced Scorecard
Performance Measurement System
Corporate Sustainability
title_short Dashboards in smart city’s sustainability performance measurement through business intelligence
title_full Dashboards in smart city’s sustainability performance measurement through business intelligence
title_fullStr Dashboards in smart city’s sustainability performance measurement through business intelligence
title_full_unstemmed Dashboards in smart city’s sustainability performance measurement through business intelligence
title_sort Dashboards in smart city’s sustainability performance measurement through business intelligence
author Mota, André Ricardo de Carvalho
author_facet Mota, André Ricardo de Carvalho
author_role author
dc.contributor.none.fl_str_mv Neto, Miguel de Castro Simões Ferreira
RUN
dc.contributor.author.fl_str_mv Mota, André Ricardo de Carvalho
dc.subject.por.fl_str_mv Smart cities
Performance Dashboards
Sustainability
Business Intelligence
Sustainable Development
Balanced Scorecard
Performance Measurement System
Corporate Sustainability
topic Smart cities
Performance Dashboards
Sustainability
Business Intelligence
Sustainable Development
Balanced Scorecard
Performance Measurement System
Corporate Sustainability
description Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2021
dc.date.none.fl_str_mv 2021-08-27T15:00:25Z
2021-07-26
2021-07-26T00:00:00Z
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/10362/123234
TID:202758435
url http://hdl.handle.net/10362/123234
identifier_str_mv TID:202758435
dc.language.iso.fl_str_mv eng
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instacron:RCAAP
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