How to Build an AI Climate-Driven Service Analytics Capability for Innovation and Performance in Industrial Markets?
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AI-enabled firms can accelerate process optimization.
“The empirical literature also indicates that AI-enabled firms can accelerate process optimization (Akter et al., 2021).”
From Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of <scp>AI</scp> applications (2025) · cites this paper as Akter et al., 2021
The indexed passages contain repository metadata and a link to a postprint, but no substantive text about process optimization. Searches for “accelerate process optimization” and related terms found no passage that addresses whether AI-enabled firms can accelerate it. (LLM, conf=0.76)
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References 145 · Cited by 108
- Authors
- Akter, S., Wamba, S. F., Mariani, M., & Hani, U.
- Affiliations
- University of Wollongong (AU)
- TBS Education (FR)
- University of Reading (GB)
- Corresponding author
- Wamba, Samuel Fosso
- Venue
- Industrial Marketing Management
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 97
- Pages
- 258-273
- ISSN
- 0019-8501 (ISSN-L)
- OpenAlex
- W3187677729
- Cited by
- 108
- References
- 145
- Citations by year
- 2026: 18 · 2025: 28 · 2024: 31 · 2023: 18 · 2022: 13
- FWCI
- 15.32
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Industrial Marketing Management (publishedVersion)
- CentAUR (University of Reading) (submittedVersion)
- Research Online (University of Wollongong) (submittedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- service innovation, market performance, industrial markets, dynamic capabilities, microfoundations, artificial intelligence in marketing, human-AI collaboration, cognitive problem solving
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