@ARTICLE{10.21494/ISTE.OP.2019.0317, 

TITLE={The Dynamic Nature of the Concept of Innovation: What Are The Consequences For Assessing Firms’ Innovation Capability?}, 
  
AUTHOR={Manon Enjolras, Daniel Galvez, Johan Claire, Mauricio Camargo, Vincent Boly, }, 
	
JOURNAL={Technology and Innovation}, 
	
VOLUME={4}, 

NUMBER={L&#8217;innovation agile</br>}, 
	
YEAR={2019}, 

URL={http://openscience.fr/The-Dynamic-Nature-of-the-Concept-of-Innovation-What-Are-The-Consequences-For}, 
	
DOI={10.21494/ISTE.OP.2019.0317}, 
	
ISSN={2399-8571}, 
	
ABSTRACT={Innovation has an inherently dynamic character that is changing the way it is managed within companies. All of these changes have impacts on innovation practices and processes, making it difficult to define a relevant indicator of the innovation capability over time. Thus, indicators of capacity to innovate are forced to evolve constantly. In this article, a method of iterative updating of innovation capability indicators is proposed. Based on the Deming cycle of continuous improvement, the methodology proposes four steps: follow, choose, integrate and test. These steps are configured as a loop to repeat this sequence according to the speed of changes in the innovation environment. The methodology will be tested on the indicator of innovation capacity proposed by the ERPI research team of the University of Lorraine, called the Potential Innovation Index (PII). This case study highlights the evolution of PII since its last version in 2016 to its current
version.}}