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

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  • Gupta, Ranjit
  • Mejia, Cristian
  • Kajikawa, Yuya

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.

Suggested Citation

  • Gupta, Ranjit & Mejia, Cristian & Kajikawa, Yuya, 2019. "Business, innovation and digital ecosystems landscape survey and knowledge cross sharing," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 100-109.
    • Handle: RePEc:eee:tefoso:v:147:y:2019:i:c:p:100-109
    DOI: 10.1016/j.techfore.2019.07.004
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