TY - JOUR T1 - The Ecosystem Knowledge Explorer: A Tool to Systematically Discover External Knowledge JF - Technology Innovation Management Review Y1 - 2019 A1 - Behrooz Khademi KW - ecosystem KW - knowledge management KW - performance measurement KW - social network analysis KW - text mining AB - It is crucial for any organization to discover knowledge from ecosystem-specific sources of knowledge that are considered external to the organization. Since knowledge exploration is a resource-intensive task for organizations, untimely or excessive knowledge exploration have detrimental impacts on the innovativeness and competitiveness of organizations. The benefits of performance measurement and management tools for knowledge management in organizations have been known for many years now. Therefore, the application of similar tools in ecosystems may enable actors to have access to valuable external knowledge. However, there is a paucity of such tools in management scholarship. The purpose of this study is to bridge this gap by proposing a conceptual tool – the Ecosystem Knowledge (EK) Explorer, which generates insightful knowledge for ecosystem actors using codified technical knowledge (e.g., scientific publications and patents). Not only does the EK Explorer reduce the uncertainty and fuzziness of the knowledge exploration phase for ecosystem actors, it also enables them to save resources and have access to strategic knowledge regarding competition, collaboration, technology management, and policy making in ecosystems. Bibliometric analysis, social network analysis, and text mining were used to conceptualize the constructs and measurable variables of the EK Explorer. PB - Talent First Network CY - Ottawa VL - 9 UR - https://timreview.ca/article/1253 IS - 7 U1 - Royal Melbourne Institute of Technology (RMIT) Behrooz Khademi is a Higher Degree by Research Candidate in Technology and Innovation Management at Royal Melbourne Institute of Technology (RMIT) in Melbourne, Australia. He received his BSc degree in Production and Manufacturing Engineering from the National Technical University of Ukraine in Kiev, Ukraine, and his MSc degree in Industrial Engineering and Management from Lappeenranta University of Technology in Lappeenranta, Finland. His research focuses on value creation, value capture, and knowledge management in ecosystems. He applies a variety of scientometric, patentometric, and text mining methods in his research. ER -