Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/157176
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Campo DCValorIdioma
dc.contributor.advisorAguiar, Hugo Menino-
dc.contributor.authorMostbeck, Leonie-
dc.date.accessioned2023-09-01T15:03:44Z-
dc.date.available2023-09-01T15:03:44Z-
dc.date.issued2023-01-17-
dc.date.submitted2022-12-16-
dc.identifier.urihttp://hdl.handle.net/10362/157176-
dc.description.abstractThe current energy and climate crisis emphasize the energy-efficiency knowledge gap as a pressing problem. This is addressed in the report and the mobile application called EnMo, which was developed as part of this field lab. Topics regarding gamification, big data analytics, and low-code development were investigated. The findings provide the foundation for developing the app and its mission as a solution to the problem. EnMo incentivizes users to reduce their household energy consumption, by collecting user information and providing educational and gamified content. Thus, EnMo enables consumers to change their behavior and reduce their energy-efficiency knowledge gap. This exposition discusses the challenges and opportunity of low-code platforms for software development specifically. While speedy development, low maintenance and cost as well as low transparency and customization were filtered out as advantages of low-code, potential vendor lock-ins, black box issues and the fear of replacing software developers might present pitfalls of the technology.pt_PT
dc.language.isoengpt_PT
dc.rightsopenAccesspt_PT
dc.subjectLow-codept_PT
dc.subjectProduct developmentpt_PT
dc.subjectMobile applicationpt_PT
dc.subjectGamificationpt_PT
dc.subjectInnovationpt_PT
dc.subjectSustainabilitypt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectHousehold energy consumption datapt_PT
dc.subjectBig data analysispt_PT
dc.titleChallenges and opportunities of low-code platforms for software developmentpt_PT
dc.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economicspt_PT
dc.identifier.tid203313615pt_PT
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopt_PT
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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