Business, innovation and digital ecosystems landscape survey and knowledge cross sharing

• Published in: Technological forecasting & social change Vol. 147; pp. 100 - 109
• Main Authors: Gupta, Ranjit, Mejia, Cristian, Kajikawa, Yuya
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 01-10-2019; Elsevier Science Ltd
• Subjects: Bibliometric analysis; Business; Business ecosystems; Classification; Current distribution; Digital ecosystems; Domains; Information dissemination; Innovation ecosystems; Innovations; Interdisciplinary aspects; Interdisciplinary studies; Knowledge; Knowledge management; Network analysis; Policy making; Research design; Smart cities; Strategic planning; Innovation ecosystems; Knowledge management; Business ecosystems; Bibliometric analysis; Digital ecosystems
• ISSN: 0040-1625; 1873-5509
• DOI: 10.1016/j.techfore.2019.07.004

Business Ecosystem (BE) has been defined in multiple ways and has been used interchangeably, jointly and overlapping with innovation ecosystems (IE) and digital ecosystems (DE), making it difficult to differentiate, consolidate, utilize and grow the body of knowledge, both in academia and industry. We use text mining techniques to reveal overlapping and exclusive terminologies used in academic articles on the three types of ecosystems. Processing of keywords has identified the current positioning of related domains in a tripartite framework. Keywords Network Analysis has revealed domains that share knowledge with the larger domains of Smart City, Digital Business Ecosystem (DBE) and Helix interaction concepts, thereby providing insights into knowledge sharing across boundaries of BE, IE and DE. The results offer a basis for classification and baseline of current state of knowledge distribution across the ecosystems that can aid in ecosystems design, collaborations planning, interdisciplinary research and policy making.
•Business, Innovation and Digital Ecosystems are the dominant (non-biological) ecosystems types.•Exclusive and overlapping terminologies in literature differentiate the ecosystem types.•Knowledge sharing occurs between the domains uniquely associated with the ecosystems types.•Identification of less obvious related cross domains can aid in emerging ecosystem design.