Unveiling the Dark Side of Companies Self-Promotion of Artificial Intelligence [abstract]
Darina Vorobeva (),
Diego Costa Pinto,
Hector González and
Nuno António
Additional contact information
Darina Vorobeva: EM - EMLyon Business School
Diego Costa Pinto: Universidade Nova de Lisboa (Portugal, Lisbon) - NOVA
Hector González: ESCP Business School (Spain, Madrid) - ESCP
Nuno António: Universidade Nova de Lisboa (Portugal, Lisbon) - NOVA
Working Papers from HAL
Abstract:
Companies' investment in Artificial Intelligence (AI) and its dynamic promotion has been growing rapidly. However, such promotional activities can backfire. This research reveals that companies' self-promotional activities of AI-based services decrease the customers' willingness to interact with AI-based (vs. human-based) services. The set of studies - Twitter text mining and experimental studies - demonstrate that self-promotion of AI-based technology has a pejorative effect on customers' willingness to interact with such services and concurrently is perceived as bragging and exaggeration. In contrast, it has a beneficial outcome if self-promotion is done about human-related achievements. The findings suggest self-discrepancy as an underlying factor of such diversion. Lastly, the research provides suggestions to companies on how to diminish customers' resistance to AI-based services using thinking (vs. feeling) skills.
Keywords: Diffusion of Innovations; Marketing Strategy (search for similar items in EconPapers)
Date: 2026-02-01
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:hal:wpaper:hal-05488134
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().