Multi-Dimensional View of Innovation Performance from Knowledge Dynamics to Maturity Matrix


  • Lamyaa EL BASSITI ENSIAS, Mohammed V University in Rabat


Innovation Knowledge Dynamics can be defined as a set of interacting activities, stages, and concepts, in order to generate a methodology to manage the essential innovation emergence, design and adoption in digital format throughout the innovation lifecycle. It aims to identify the innovation domain’s knowledge structures, internal dynamics, and implementation requirements. Based on the analysis of the shifts global mindset manifest, and following today’s transition towards a new era of flexible forms of managing and organizing, we suggest a tri-axial understanding of the innovation field. Upon this understanding, we developed a tri-axial model for innovation performance measurement, which led us to design a Maturity Matrix that we put into practice through an Assessment Workflow and a Sample Scoring System. This paper identifies three complementary components specifically developed to enable such assessment. First, Innovation Granularity Scales enabling highly targeted yet flexible performance analysis, ranging from knowledge assessment to high level progressions and improvements; Second, Innovation Capability Stages referring to the minimum capabilities required by transformational milestones along the innovation continuum; Third, Innovation Maturity Levels, representing the quality, predictability and performance within the innovation stages. This paper explores these complementary components and presents them as a systematic model underlying a specified Innovation Maturity Matrix.

Author Biography

Lamyaa EL BASSITI, ENSIAS, Mohammed V University in Rabat

Lamyaa EL BASSITI is a junior researcher. She obtained her Ph.D. in Innovation Studies from ENSIAS Engineering School of Computer Sciences at the University Mohammed V in Rabat, Morocco. She is an associate member of International Association for Knowledge Management -IAKM. Her main teaching and research interests lie in the areas of smart organization; idea management, innovation structuration, innovation interoperability and innovation performance; as well as KM, Semantics and Data Sciences. She has published articles on these topics in international journals and conference proceedings.


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How to Cite

EL BASSITI, L. (2018). Multi-Dimensional View of Innovation Performance from Knowledge Dynamics to Maturity Matrix. Management Dynamics in the Knowledge Economy, 6(1), 67–85. Retrieved from