Studying innovation ecosystems using ecology theory
This paper proposes a set of perspectives for studying innovation ecosystems that are based on ecological research. Our perspectives are based on fundamental similarities between natural and business systems. We suggest that innovation ecosystems can be defined as pathways of interlinked business mo...
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| Format: | Article |
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Elsevier
2016
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| Online Access: | https://eprints.nottingham.ac.uk/40726/ |
| _version_ | 1848796126154588160 |
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| author | Shaw, Duncan R. Allen, Tim |
| author_facet | Shaw, Duncan R. Allen, Tim |
| author_sort | Shaw, Duncan R. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper proposes a set of perspectives for studying innovation ecosystems that are based on ecological research. Our perspectives are based on fundamental similarities between natural and business systems. We suggest that innovation ecosystems can be defined as pathways of interlinked business models. Pathways are characterised by the flows they convey not the types of business model that support the flows. These pathways convey material and informational resources, as well as value. Like the nutrient and energy pathways in natural ecosystems. Pathways help to recycle scarce resources such as customer attention and customer-derived information. Business model descriptions are similar to an organism’s genome in that they describe limitations on sensing, acting and understanding. We conceptualise this as the ‘umwelt’; the self-world. These limitations have implications for how firms and customers interact with customers. They have other implications for how firms interact with each other in business model communities and how they accommodate each other.
We illustrate and test these ecological perspectives using a case study of a healthcare smartphone app’s ecosystem. We find that our perspectives can be used as novel methods of studying interactions between business models; or to study ecosystem building. |
| first_indexed | 2025-11-14T19:43:01Z |
| format | Article |
| id | nottingham-40726 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:43:01Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-407262020-05-04T18:27:03Z https://eprints.nottingham.ac.uk/40726/ Studying innovation ecosystems using ecology theory Shaw, Duncan R. Allen, Tim This paper proposes a set of perspectives for studying innovation ecosystems that are based on ecological research. Our perspectives are based on fundamental similarities between natural and business systems. We suggest that innovation ecosystems can be defined as pathways of interlinked business models. Pathways are characterised by the flows they convey not the types of business model that support the flows. These pathways convey material and informational resources, as well as value. Like the nutrient and energy pathways in natural ecosystems. Pathways help to recycle scarce resources such as customer attention and customer-derived information. Business model descriptions are similar to an organism’s genome in that they describe limitations on sensing, acting and understanding. We conceptualise this as the ‘umwelt’; the self-world. These limitations have implications for how firms and customers interact with customers. They have other implications for how firms interact with each other in business model communities and how they accommodate each other. We illustrate and test these ecological perspectives using a case study of a healthcare smartphone app’s ecosystem. We find that our perspectives can be used as novel methods of studying interactions between business models; or to study ecosystem building. Elsevier 2016-12-08 Article PeerReviewed Shaw, Duncan R. and Allen, Tim (2016) Studying innovation ecosystems using ecology theory. Technological Forecasting and Social Change . ISSN 0040-1625 Innovation ecosystems; ecology theory; digital ecosystems business models; value creation systems; complementary umwelts. http://www.sciencedirect.com/science/article/pii/S0040162516307880 doi:10.1016/j.techfore.2016.11.030 doi:10.1016/j.techfore.2016.11.030 |
| spellingShingle | Innovation ecosystems; ecology theory; digital ecosystems business models; value creation systems; complementary umwelts. Shaw, Duncan R. Allen, Tim Studying innovation ecosystems using ecology theory |
| title | Studying innovation ecosystems using ecology theory |
| title_full | Studying innovation ecosystems using ecology theory |
| title_fullStr | Studying innovation ecosystems using ecology theory |
| title_full_unstemmed | Studying innovation ecosystems using ecology theory |
| title_short | Studying innovation ecosystems using ecology theory |
| title_sort | studying innovation ecosystems using ecology theory |
| topic | Innovation ecosystems; ecology theory; digital ecosystems business models; value creation systems; complementary umwelts. |
| url | https://eprints.nottingham.ac.uk/40726/ https://eprints.nottingham.ac.uk/40726/ https://eprints.nottingham.ac.uk/40726/ |