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Unveiling the Dark Side of Companies Self-Promotion of Artificial Intelligence [abstract]

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  • معلومة اضافية
    • Contributors:
      Information Management Research Center (MagIC) - NOVA Information Management School; NOVA Information Management School (NOVA IMS)
    • بيانات النشر:
      European Marketing Academy (EMAC)
    • الموضوع:
      2024
    • Collection:
      Repositório da Universidade Nova de Lisboa (UNL)
    • نبذة مختصرة :
      Vorobeva, D., Pinto, D. C., González, H., & António, N. (2024). Unveiling the Dark Side of Companies Self-Promotion of Artificial Intelligence [abstract]. In Proceedings of the European Marketing Academy (pp. 1-2). Article 119392 European Marketing Academy (EMAC). https://proceedings.emac-online.org/pdfs/A2024-119392.pdf --- This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia) , under the project – UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS and 2021.09496.BD ; 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. ; publishersversion ; published
    • Relation:
      info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT; https://doi.org/10.54499/UIDB/04152/2020; PURE: 102522695; http://hdl.handle.net/10362/174720
    • الدخول الالكتروني :
      http://hdl.handle.net/10362/174720
    • Rights:
      openAccess
    • الرقم المعرف:
      edsbas.5EE96D70