Author
Listed:
- Darina Vorobeva
(EM - EMLyon Business School)
- Diego Costa Pinto
(Universidade Nova de Lisboa (Portugal, Lisbon) - NOVA)
- Héctor González-Jiménez
(ESCP Business School (Spain, Madrid) - ESCP)
- Nuno António
(Universidade Nova de Lisboa (Portugal, Lisbon) - NOVA)
Abstract
As companies actively invest in self‐promotion of Artificial Intelligence (AI) empowered services to sustain their competitive advantage, there is a growing potential for such promotional activities to backfire. Bridging signaling theory with the resource‐based view, this research reveals that companies' self‐promotion of AI resources can reduce customers' willingness to engage with AI‐based (vs. human‐based) services. Four studies, including text mining and experiments, demonstrate that companies' self‐promotion of AI‐based resources has a detrimental effect on willingness to engage, and concurrently perceived as exaggeration. In contrast, companies' self‐promotion about human‐related resources yields beneficial outcomes, since such promotional signals contribute to the enhancement of human capital. The findings suggest that self‐discrepancy and trust are the key underlying factors driving the effects as customers may experience a discrepancy between their expectations of human‐like service interactions and actual AI capabilities. Additionally, findings reveal the moderating effect of honest (vs. self‐promotional) framing on the relationship between service type (AI vs. human) and willingness to engage. Customer perceptions of AI appear less influenced by presentation style compared to perceptions of human resources. This research provides valuable insights into how customers respond to companies' self‐promotion of AI resources and emphasizes the need for promotional alignment with customers' expectations about AI.
Suggested Citation
Darina Vorobeva & Diego Costa Pinto & Héctor González-Jiménez & Nuno António, 2025.
"Bragging About Valuable Resources? The Dual Effect of Companies’ AI and Human Self‐Promotion,"
Post-Print
hal-05488130, HAL.
Handle:
RePEc:hal:journl:hal-05488130
DOI: 10.1002/mar.22198
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