Artikel

Firm readiness level for innovation projects: A new decision-making tool for innovation managers

Innovation projects represent a major challenge for business managers due to their associated uncertainty degree. The already existing methodologies to support the innovation projects are aimed at piloting them and establishing the management stages in a flexible and agile way during their deployment. This paper proposes a complementary ex-ante methodology that seeks to aid the decision-making of companies to choose whether or not to launch a potential innovation project. This methodology evaluates to what extent the technological system of the company has the minimum required maturity degree of competencies to successfully achieve the innovation project. Thus, in first instance, an innovation project is characterized according to its novelty degree; both inside the company and in its environment. Subsequently, according to the previous characterization, the future project will have an impact on the technological system of the company. The capabilities of the firm are represented by a set of good practices associated with the innovation projects' management that the company is able to deploy. Finally, the minimum maturity degree required by a particular project of these practices is determined. Then, the gap between the maturity requirement profile and the current profile of the company is established enabling to decide on the implementation of the project or not.

Sprache
Englisch

Erschienen in
Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 8 ; Year: 2018 ; Issue: 1 ; Pages: 1-17 ; Basel: MDPI

Klassifikation
Öffentliche Verwaltung
Thema
innovative project management
novelty degree
decision-making
best practices

Ereignis
Geistige Schöpfung
(wer)
Galvez, Daniel
Enjolras, Manon
Camargo, Mauricio
Boly, Vincent
Claire, Johan
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2018

DOI
doi:10.3390/admsci8010006
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Galvez, Daniel
  • Enjolras, Manon
  • Camargo, Mauricio
  • Boly, Vincent
  • Claire, Johan
  • MDPI

Entstanden

  • 2018

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