Innovation Analytics and Digital Innovation Experimentation: The Rise of Research-driven Online Review Platforms
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AI has the potential to foster a digital innovation process by developing new and evidence-based approaches for data collection.
“Also, AI has the potential to foster a digital innovation process by developing new and evidence-based approaches for data collection (Mariani & Nambisan, 2021).”
From Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes (2023) · cites this paper as Mariani & Nambisan, 2021
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- Authors
- Mariani, M. M., & Nambisan, S.
- Affiliations
- University of Reading (GB)
- Case Western Reserve University (US)
- Corresponding author
- Mariani, Marcello M.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 172
- Pages
- 121009
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W3179824743
- Cited by
- 173
- References
- 85
- Citations by year
- 2026: 29 · 2025: 47 · 2024: 37 · 2023: 29 · 2022: 27 · 2021: 4
- FWCI
- 20.73
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Technological Forecasting and Social Change (publishedVersion)
- CentAUR (University of Reading) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- online review platforms, big data analytics, AI-based analytics, platform typology, customer feedback, business model transformation, Industry 4.0, post-COVID-19
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