“SISTEMAS DE INFORMAÇÃO DE GESTÃO DE BALANCED SCORECARD – ESTADO DA ARTE, SELECÇÃO, IMPLEMENTAÇÃO E ALINHAMENTO COM A AQRQUITECTURA DA EMPRESA”
José Jorge Carranca Sequeira Martins,
D – Departamento de Engenharia Informática, Instituto Superior Técnico, Universidade de Lisboa –
Abstract:
O Balanced Scorecard (BSc), formulado em 1989 por Kaplan e Norton, emergiu como uma ferramenta de medição de desempenho e de planeamento estratégico corporativo, sendo já adoptado na maioria das empresas representadas no Fortune 1000. Através do seu regulador – “The Balanced Scorecard Collaborative” – o BSc avança para a standardização, tendo já certificado vinte aplicações. No entanto, apesar de amplamente utilizado, foram vários os casos de insucesso, tendo por isso sido já estudadas algumas das suas causas possíveis. Centrando-se nas causas relacionadas com os Sistemas de Informação, a tese enuncia os seguintes problemas – Que sistema de BSc deve ser seleccionado para a implementação numa Organização e como? Como deve ser aferido o grau de alinhamento do sistema de BSc implementado com a Arquitectura Empresarial envolvente da Organização? A tese apresenta a pesquisa realizada sobre o estado-da-arte dos Sistemas de Informação de Gestão de Balanced Scorecard (SIGBScs). Propõe uma matriz comparativa de SIGBScs, para dar apoio à sua selecção. Apresenta o estado-da-arte da Arquitectura Empresarial, dando particular atenção à Framework de Zachman. Apresenta brevemente, o estado-da-arte dos Modelos de Alinhamento das Tecnologias de Informação com o Negócio. Finalmente, aplica a teoria ao Caso de Estudo, através da selecção e implementação de um SIGBSc na Unidade de Negócio de Suporte de serviços de gestão partilhados do Grupo Portugal Telecom – a PT-PRO Serviços de Gestão, e afere o grau de alinhamento do SIGBSc na Arquitectura de Sistemas de Informação envolvente.
PALAVRAS-CHAVE: Sistemas de Informação de Gestão; Balanced Scorecard; Alinhamento das Tecnologias de Informação com o Negócio; Arquitectura Empresarial; Arquitectura de Sistemas de Informação; Framework de Zachman;
Date: 2005-Dec-15 Time: 15:00:00 Room: ANFITEATRO DO COMPLEXO INTERDISCIPLINAR NO IST
For more information:
- susana.costa@inesc.pt
- 213100338
Upcoming Events
INESC-ID ESR Talks – June 2023
If you are a masters/PhD student or a postdoctoral fellow, come and present your work in an informal and friendly environment – and savour some tasty snacks!
Individual talks will be 10-15 minutes plus time for feedback. Enroll on your selected date by emailing pedro.ferreira[at]inesc-id.pt.
Happening on the second Wednesday of every month (4pm-5pm):
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- 12 July (Alves Redol, Room 9)
We hope to see you there!
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
Keynote speakers:
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.