Innovation analytics: Leveraging artificial intelligence in the innovation process

Chinmay Kakatkar, Volker Bilgram and Johann Füller

Business Horizons, 2020, vol. 63, issue 2, 171-181

Abstract: Artificial intelligence (AI) is about imbuing machines with a kind of intelligence that is mainly attributed to humans. Extant literature—coupled with our experiences as practitioners—suggests that while AI may not be ready to completely take over highly creative tasks within the innovation process, it shows promise as a significant support to innovation managers. In this article, we broadly refer to the derivation of computer-enabled, data-driven insights, models, and visualizations within the innovation process as innovation analytics. AI can play a key role in the innovation process by driving multiple aspects of innovation analytics. We present four different case studies of AI in action based on our previous work in the field. We highlight benefits and limitations of using AI in innovation and conclude with strategic implications and additional resources for innovation managers.

Keywords: Innovation analytics; Artificial intelligence; Innovation process; Front-end innovation; Machine learning (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0007681319301533
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:bushor:v:63:y:2020:i:2:p:171-181

DOI: 10.1016/j.bushor.2019.10.006

Access Statistics for this article

Business Horizons is currently edited by C. M. Dalton

More articles in Business Horizons from Elsevier
Bibliographic data for series maintained by Catherine Liu ().