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Executive AI Literacy: A Text-Mining Approach to Understand Existing and Demanded AI Skills of Leaders in Unicorn Firms

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