| Title: |
Executive AI Literacy: A Text-Mining Approach to Understand Existing and Demanded AI Skills of Leaders in Unicorn Firms |
| Authors: |
Pinski, Marc; Hofmann, Thomas; Benlian, Alexander |
| Source: |
Wirtschaftsinformatik 2023 Proceedings |
| Publisher Information: |
AIS Electronic Library (AISeL) |
| Publication Year: |
2023 |
| Collection: |
Association for Information Systems Research: AIS Electronic Library (AISeL) |
| Description: |
Despite the growing relevance of artificial intelligence (AI) for busi-nesses, there is a lack of research on how top-level executives must be skilled in AI. Drawing on upper echelons theory, this paper explores executive AI literacy, defined as the combined AI skills of top-level executives, and its relevance for different executive roles. We conducted a text-mining analysis of 1,625 execu-tives’ online profiles and 1,033 executive job postings from unicorn firms re-trieved via web-scraping from an online professional social network. We find that AI skills are mostly required in product-related executive roles (vs. adminis-trative roles). Thus, we provide an AI-specific perspective complementing prior information systems research on executives, which asserts that (non-AI) IT is driven by administrative executive roles. Our paper contributes to AI literacy lit-erature by shedding light on the substance of executive AI literacy within firms. Lastly, we provide implications for AI-related information systems strategy. |
| Document Type: |
text |
| File Description: |
application/pdf |
| Language: |
unknown |
| Relation: |
https://aisel.aisnet.org/wi2023/7; https://aisel.aisnet.org/context/wi2023/article/1006/viewcontent/Contribution_127_final_a.pdf |
| Availability: |
https://aisel.aisnet.org/wi2023/7; https://aisel.aisnet.org/context/wi2023/article/1006/viewcontent/Contribution_127_final_a.pdf |
| Accession Number: |
edsbas.2940FCDC |
| Database: |
BASE |