Classifying Innovation: An Ontological Framework and Data-Driven Approach for Measuring Radicalness in the Front End of Innovation Management
I tiakina i:
| I whakaputaina i: | ProQuest Dissertations and Theses (2025) |
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| Kaituhi matua: | |
| I whakaputaina: |
ProQuest Dissertations & Theses
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| Ngā marau: | |
| Urunga tuihono: | Citation/Abstract Full Text - PDF |
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| 001 | 3234791462 | ||
| 003 | UK-CbPIL | ||
| 020 | |a 9798290911069 | ||
| 035 | |a 3234791462 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 66569 |2 nlm | ||
| 100 | 1 | |a Forde, Andrew Nathaniel | |
| 245 | 1 | |a Classifying Innovation: An Ontological Framework and Data-Driven Approach for Measuring Radicalness in the Front End of Innovation Management | |
| 260 | |b ProQuest Dissertations & Theses |c 2025 | ||
| 513 | |a Dissertation/Thesis | ||
| 520 | 3 | |a Idea evaluation has emerged as a pivotal aspect of creative thought and innovation processes, drawing increased attention from researchers and managers. Despite the lack of consensus on a precise definition of innovation, there is a clear understanding that radical innovation significantly differs from incremental innovation. However, techniques for evaluating and selecting radical ideas have often been adapted from methods designed for incremental innovation or creative thought processes. This thesis establishes a framework to differentiate between radical and incremental innovations. Starting with foundational definitions, we examine traditional methods for evaluating innovative ideas. The core of our research introduces a novel Innovation Ontology and we demonstrate the capability to distinctly classify incremental and radical innovations, presenting a predictive model that generates a ‘radicalness’ score, thereby enhancing the precision and effectiveness of innovation management. | |
| 653 | |a Information science | ||
| 653 | |a Computer science | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Industrial engineering | ||
| 653 | |a Mechanical engineering | ||
| 773 | 0 | |t ProQuest Dissertations and Theses |g (2025) | |
| 786 | 0 | |d ProQuest |t ProQuest Dissertations & Theses Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3234791462/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3234791462/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |