Evaluating Disruptive Innovation Project Management Capabilities

Firms must adapt to a business environment in constant flux. Economic and political factors and the constant interruption of new technologies force firms and organizations to change and to adapt, so that they are not left behind. Over recent years, the development of disruptive innovations has compl...

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Detalhes bibliográficos
Autores: Zubizarreta Irure, Mikel, Ganzarain, Jaione, Cuadrado Rojo, Jesús, Lizarralde, Rafael
Tipo de documento: artigo
Data de publicação:2020
País:España
Recursos:Universidad del País Vasco
Repositório:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/49776
Acesso em linha:http://hdl.handle.net/10810/49776
Access Level:Acceso aberto
Palavra-chave:sustainability
project management
disruptive innovation
MIVES
AHP
DBM
Descrição
Resumo:Firms must adapt to a business environment in constant flux. Economic and political factors and the constant interruption of new technologies force firms and organizations to change and to adapt, so that they are not left behind. Over recent years, the development of disruptive innovations has completely revolutionized past scenarios. These innovations break with what is already established and firms from various sectors face no choice other than to incorporate them into their project management portfolios, so as to ensure survival and business sustainability. Using MIVES methodology as its foundation, a business sustainability management model is presented in this paper for the management of disruptive innovation projects that a firm may wish to develop within a given sector. The management model is designed to facilitate disruptive innovation project management for firms within technological-industrial sectors, by assessing the sustainability of the project. The model is applied to two firms, one from the machine-tooling sector and another from the construction sector. Finally, a sensitivity analysis was performed, the results of which verified the validity and the stability of the proposed model.