Purpose
Ensuring collaboration between partners involved in a collaborative innovation project is a challenge for project managers. This paper aims to highlight how taking a high-level learning approach can represent a managerial lever. In addition, it analyzes the impact of learning tensions in a partnership context.
Design/methodology/approach
The paper focuses on an explorative, longitudinal and in-depth analysis of the Innovative Solutions in Urban Systems project via a qualitative single-case study. The research is inductive and based on data from the field rather than a deductive application of theory.
Findings
Collaborative innovation projects represent a high-level learning case. Activity theory is suited to studying the dynamics of learning in collaborative innovation projects. Tensions can fertilize the front-end of collaborative innovation projects.
Research limitations/implications
Because of the chosen research approach, the research results may be difficult to generalize. Therefore, researchers are encouraged to test the conceptual framework further.
Practical implications
This article provides a framework for managing tensions in collaborative innovation projects. The results provide also a process to implement all criteria of sustainable development in these projects.
Social implications
This article highlights to what extent collaborative relations can be developed between participants through a questionnaire with social responsibility attributes. The questionnaire allows to foster participants’ trust.
Originality/value
This approach is original because the authors consider that situations exist that, by definition, belong to “higher-order learning”. Through a case study, they propose a framework to manage this situation.
In order to improve the innovation process, concurrent engineering may be associated with knowledge capitalization methods. The objective is to reuse knowledge having emerged during previous innovative projects. This article brings a methodological contribution to project feedback within new product development tasks. First, the interests of project feedback activities are underlined. More particularly, the impact of project feedback on knowledge management cycles is discussed. Then, a methodology based on a specific information extraction approach from past projects is detailed. The TRIZ theory constitutes the theoretical background of this research. An experiment in the field of machinery development is presented. To conclude, this article discusses the assets and limits of the approach and gives some practical advice concerning the use of memorized data within innovative projects.
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