Adopting AI for NPD: A Strategic Roadmap for Managers.
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| Authors: | Cooper, Robert G. (AUTHOR) robertcooper@cogeco.ca |
|---|---|
| Source: | Research Technology Management. May/Jun2025, Vol. 68 Issue 3, p41-46. 6p. |
| Subject Terms: | *Artificial intelligence, *New product development, *Business process modeling, *Strategic planning, *Project management, *Risk management in business, *Value creation |
| Abstract: | The article "Adopting AI for NPD: A Strategic Roadmap for Managers" discusses the slow adoption of artificial intelligence (AI) for new product development (NPD) and the challenges faced by companies in realizing business value from AI projects. The author introduces the RAPID model, an end-to-end process model designed to help companies manage the acquisition and deployment of AI projects for NPD applications effectively. The RAPID model is structured into stages with incremental resource commitments, gates for project progress checks, and flexibility for iterative improvements, aiming to mitigate risks and avoid common pitfalls in AI projects. [Extracted from the article] |
| Database: | Entrepreneurial Studies Source |
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| Header | DbId: ent DbLabel: Entrepreneurial Studies Source An: 184403084 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cooper%2C+Robert+G%2E%22">Cooper, Robert G.</searchLink> (AUTHOR)<i> robertcooper@cogeco.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Research+Technology+Management%22">Research Technology Management</searchLink>. May/Jun2025, Vol. 68 Issue 3, p41-46. 6p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22New+product+development%22">New product development</searchLink><br />*<searchLink fieldCode="DE" term="%22Business+process+modeling%22">Business process modeling</searchLink><br />*<searchLink fieldCode="DE" term="%22Strategic+planning%22">Strategic planning</searchLink><br />*<searchLink fieldCode="DE" term="%22Project+management%22">Project management</searchLink><br />*<searchLink fieldCode="DE" term="%22Risk+management+in+business%22">Risk management in business</searchLink><br />*<searchLink fieldCode="DE" term="%22Value+creation%22">Value creation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article "Adopting AI for NPD: A Strategic Roadmap for Managers" discusses the slow adoption of artificial intelligence (AI) for new product development (NPD) and the challenges faced by companies in realizing business value from AI projects. The author introduces the RAPID model, an end-to-end process model designed to help companies manage the acquisition and deployment of AI projects for NPD applications effectively. The RAPID model is structured into stages with incremental resource commitments, gates for project progress checks, and flexibility for iterative improvements, aiming to mitigate risks and avoid common pitfalls in AI projects. [Extracted from the article] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ent&AN=184403084 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/08956308.2025.2466980 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 41 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: New product development Type: general – SubjectFull: Business process modeling Type: general – SubjectFull: Strategic planning Type: general – SubjectFull: Project management Type: general – SubjectFull: Risk management in business Type: general – SubjectFull: Value creation Type: general Titles: – TitleFull: Adopting AI for NPD: A Strategic Roadmap for Managers. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cooper, Robert G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May/Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 08956308 Numbering: – Type: volume Value: 68 – Type: issue Value: 3 Titles: – TitleFull: Research Technology Management Type: main |
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