Knowledge Management and Project Uncertainty in Open Innovation Context: Trends and Contributions of Literature

Abstract

Goal: We aims to map the literature that correlates uncertainty management and Open Innovation at project level, identifying the main contributions of knowledge management. Design/Methodology/Approach: We applied the Systematic Literature Review - SLR approach associated with Bibliometric analysis. To sample compose we use the Scopus and Web of Science databases. We also use the Bibliometrix R package to managed the sample process compose and bibliometric analysis and content analysis to identify the main topics. Results: The contributions mainly discuss the performance of OI projects to generate competitive advantage for organizations. The sample are categorized in technical, market, organizational and resource uncertainties. There is a greater focus on market and organizational uncertainties justified by the propagation of uncertainty. Limitations of the investigation: Even with transparency in the analysis and sample composition, the discussions may be subject to subjective interpretations by the authors. Practical Implications: This study has managerial implications. Our study helps managers identify core KM mechanisms in OI projects that enable sharing, integration, and knowledge flow between the network partners. Our findings show that the main challenge lies in organizational culture and the change of mindset, which influences the opening to new partnerships, knowledge sharing, and internal and external partners' trust to leverage innovation. For that, managers have to be aware of the KM barriers such as lack of trust or information asymmetry. Originality/ Value: We correlate uncertainties management in the OI projects, considering the influence of KM. We present conceptual maps. We identified emerging topics and we suggest a theoretical model of the research.