INNOVATION ANALYSIS BASED ON SCORES AT THE FIRM LEVEL

Cătălin George Alexe, Cătălina Monica Alexe and Gheorghe Militaru
Additional contact information
Cătălin George Alexe: University POLITEHNICA of Bucharest, Faculty of Entrepreneurship, Business Engineering and Management, Management Department
Cătălina Monica Alexe: University POLITEHNICA of Bucharest, Faculty of Entrepreneurship, Business Engineering and Management, Management Department
Gheorghe Militaru: University POLITEHNICA of Bucharest, Faculty of Entrepreneurship, Business Engineering and Management, Management Department

SEA - Practical Application of Science, 2014, issue 3, 32-38

Abstract: Innovation analysis based on scores (Innovation Scorecard) is a simple way to get a quick diagnosis on the potential of innovation of a firm in its intention to achieve the innovation capability. It aims to identify and remedy the deficient aspects related to innovation management being used as a measuring tool for the innovation initiatives over time within the innovation audit. The paper aims to present the advantages and disadvantages of using the method, and the three approaches developed over time. Therefore, the model proposed by the consulting firm Arthur D. Little in collaboration with the European Business School, Eckelmann's model and AGGB's local model are summarized and compared. At the end of the paper, several possible solutions are proposed to improve the way of analysis based on scores.

Keywords: The innovation capability at the firm level; The innovation analysis based on scores; The process of innovation (search for similar items in EconPapers)
JEL-codes: O32 (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/SPAS_3_3.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cmj:seapas:y:2014:i:3:p:32-38

Access Statistics for this article

SEA - Practical Application of Science is currently edited by Romanian Foundation for Business Intelligence

More articles in SEA - Practical Application of Science from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().