 Business, innovation and digital ecosystems landscape survey and knowledge cross sharingRanjit Gupta, Cristian Mejia and Yuya Kajikawa Technological Forecasting and Social Change, 2019, vol. 147, issue C, 100-109 Abstract: 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. Keywords: Business ecosystems; Innovation ecosystems; Digital ecosystems; Bibliometric analysis; Knowledge management (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:147:y:2019:i:c:p:100-109 DOI: 10.1016/j.techfore.2019.07.004 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
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