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      <dc:title>AI in enterprise management: determinants of purchase intention among CEOs without AI experience</dc:title>
      <dc:creator>Maldonado Canca, Luis Alfonso</dc:creator>
      <dc:creator>Cabrera-Sánchez, Juan Pedro</dc:creator>
      <dc:creator>Casado-Molina, Ana María</dc:creator>
      <dc:subject>Inteligencia artificial</dc:subject>
      <dc:subject>Planificación estratégica</dc:subject>
      <dc:subject>Toma de decisiones</dc:subject>
      <dc:description>Departamento de Organización de empresas y Marketing</dc:description>
      <dc:description>Purpose&#xd;
This study introduces a novel model of AI adoption focused on purchase intention by CEOs with no prior AI experience – a key shift from traditional usage-based approaches. It addresses how executives make strategic investment decisions under uncertainty, emphasizing trust and perceived value over readiness factors.&#xd;
Design/methodology/approach&#xd;
Survey data from 252 CEOs were analyzed using PLS-SEM and necessary condition analysis (NCA). The model evaluates the effects of security, perceived value, response costs, organizational compatibility and facilitating conditions, explaining 73.7% of purchase intention variance (R2 = 0.737).&#xd;
Findings&#xd;
Security and perceived value emerged as the strongest drivers of AI purchase intention, while response costs act as a significant deterrent. Although facilitating conditions and organizational compatibility are relevant, their impact is secondary at the pre-adoption stage. The model also identifies perceived value and organizational compatibility as necessary – but not sufficient – conditions for adoption.&#xd;
Originality/value&#xd;
This research makes three key contributions: (1) it reconceptualizes AI adoption as a staged strategic process centered on purchase intention; (2) it applies upper echelons theory to explain how CEOs’ lack of AI experience shapes their cognitive evaluations of risk, cost and strategic value during early-stage adoption decisions, offering a novel context for its use in AI adoption research and (3) combines PLS-SEM and NCA to identify both drivers and prerequisites for early-stage AI investment.</dc:description>
      <dc:date>2025-10-29T11:02:46Z</dc:date>
      <dc:date>2025-10-29T11:02:46Z</dc:date>
      <dc:date>2025</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Maldonado-Canca L, Cabrera-Sánchez J, Casado-Molina A (2025;), "AI in enterprise management: determinants of purchase intention among CEOs without AI experience". Journal of Enterprise Information Management</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10630/40493</dc:identifier>
      <dc:identifier>10.1108/JEIM-03-2025-0230</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 4.0 Internacional</dc:rights>
      <dc:publisher>Emerald</dc:publisher>
   </ow:Publication>
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