EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2026-02-03
Handle: RePEc:hal:wpaper:hal-05488134