Integrated AI and Innovation Management: The Beginning of a Beautiful Friendship
There is a growing consensus around the transformative and innovative power of Artificial Intelligence (AI) technology. AI will transform which products are launched and how new business models will be developed to support them. Despite this, little research exists today that systematically explores...
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Carleton University
2020-11-01
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doaj-01a10789a78e4f1c92d50d997ac69e8f2020-12-01T17:06:31ZengCarleton UniversityTechnology Innovation Management Review1927-03212020-11-011011518http://doi.org/10.22215/timreview/1399Integrated AI and Innovation Management: The Beginning of a Beautiful FriendshipNina Bozic Yams0Valerie Richardson1Galina Esther Shubina2Sandor Albrecht3Daniel Gillblad4 Research Institutes of Sweden (RISE) Gradient Descent Gradient Descent Research Institute of Sweden (RISE) & WALP Research Institutes of Sweden (RISE) and AI Sweden There is a growing consensus around the transformative and innovative power of Artificial Intelligence (AI) technology. AI will transform which products are launched and how new business models will be developed to support them. Despite this, little research exists today that systematically explores how AI will change and support various aspects of innovation management. To address this question, this article proposes a holistic, multi-dimensional AI maturity model that describes the essential conditions and capabilities necessary to integrate AI into current systems, and guides organisations on their journey to AI maturity. It explores how various elements of the innovation management system can be enabled by AI at different maturity stages. Two key experimentation stages are identified, 1) an initial stage that focuses on optimisation and incremental innovation, and 2) a higher maturity stage where AI becomes an enabler of radical innovation. We conclude that AI technologies can be applied to democratise and distribute innovation across organisations.https://timreview.ca/timreview.ca/article/1399ai innovationai maturityartificial intelligenceims iso 56002innovation managementmaturity model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nina Bozic Yams Valerie Richardson Galina Esther Shubina Sandor Albrecht Daniel Gillblad |
spellingShingle |
Nina Bozic Yams Valerie Richardson Galina Esther Shubina Sandor Albrecht Daniel Gillblad Integrated AI and Innovation Management: The Beginning of a Beautiful Friendship Technology Innovation Management Review ai innovation ai maturity artificial intelligence ims iso 56002 innovation management maturity model |
author_facet |
Nina Bozic Yams Valerie Richardson Galina Esther Shubina Sandor Albrecht Daniel Gillblad |
author_sort |
Nina Bozic Yams |
title |
Integrated AI and Innovation Management: The Beginning of a Beautiful Friendship |
title_short |
Integrated AI and Innovation Management: The Beginning of a Beautiful Friendship |
title_full |
Integrated AI and Innovation Management: The Beginning of a Beautiful Friendship |
title_fullStr |
Integrated AI and Innovation Management: The Beginning of a Beautiful Friendship |
title_full_unstemmed |
Integrated AI and Innovation Management: The Beginning of a Beautiful Friendship |
title_sort |
integrated ai and innovation management: the beginning of a beautiful friendship |
publisher |
Carleton University |
series |
Technology Innovation Management Review |
issn |
1927-0321 |
publishDate |
2020-11-01 |
description |
There is a growing consensus around the transformative and innovative power of Artificial Intelligence (AI) technology. AI will transform which products are launched and how new business models will be developed to support them. Despite this, little research exists today that systematically explores how AI will change and support various aspects of innovation management. To address this question, this article proposes a holistic, multi-dimensional AI maturity model that describes the essential conditions and capabilities necessary to integrate AI into current systems, and guides organisations on their journey to AI maturity. It explores how various elements of the innovation management system can be enabled by AI at different maturity stages. Two key experimentation stages are identified, 1) an initial stage that focuses on optimisation and incremental innovation, and 2) a higher maturity stage where AI becomes an enabler of radical innovation. We conclude that AI technologies can be applied to democratise and distribute innovation across organisations. |
topic |
ai innovation ai maturity artificial intelligence ims iso 56002 innovation management maturity model |
url |
https://timreview.ca/timreview.ca/article/1399 |
work_keys_str_mv |
AT ninabozicyams integratedaiandinnovationmanagementthebeginningofabeautifulfriendship AT valerierichardson integratedaiandinnovationmanagementthebeginningofabeautifulfriendship AT galinaesthershubina integratedaiandinnovationmanagementthebeginningofabeautifulfriendship AT sandoralbrecht integratedaiandinnovationmanagementthebeginningofabeautifulfriendship AT danielgillblad integratedaiandinnovationmanagementthebeginningofabeautifulfriendship |
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