Logo PUC-Rio Logo Maxwell
ETDs @PUC-Rio
Estatística
Título: USING INTENTIONAL MODELING TO ENHANCE ENTERPRISE RISK MANAGEMENT
Autor: RAFAEL DE SIQUEIRA T CAVALCANTI
Colaborador(es): JULIO CESAR SAMPAIO DO PRADO LEITE - Orientador
Catalogação: 19/MAI/2021 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=52798&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=52798&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.52798
Resumo:
Due to the accelerated pace with which market innovations have emerged, with economic uncertainties, the rise of social media, security issues, and many other factors, organizational risks have become increasingly complex and challenging to manage. It is essential to think about more complete models of information representation that can interpret the risks to which companies are exposed, as clearly, and detailed as possible. The intentional modeling approach allows information to be represented without excluding details relevant to organizations risk management. This paper proposes a risk management modeling strategy using the iStar language to address the need for enhanced information representation in today s enterprise business environment.
Descrição: Arquivo:   
COMPLETE PDF