{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T23:49:03Z","timestamp":1776383343133,"version":"3.51.2"},"reference-count":160,"publisher":"Emerald","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,2,2]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study introduces a novel model of AI adoption focused on purchase intention by CEOs with no prior AI experience \u2013 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>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,\u00a0organizational compatibility and facilitating conditions, explaining 73.7% of purchase intention variance (R2\u00a0=\u00a00.737).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>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 \u2013 but not sufficient \u2013 conditions for adoption.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>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\u2019 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.<\/jats:p>\n                  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Spain"]}]},{"given":"Ana-Mar\u00eda","family":"Casado-Molina","sequence":"additional","affiliation":[{"name":"Universidad de M\u00e1laga Departamento de Organizaci\u00f3n de Empresas y Marketing, , ,","place":["M\u00e1laga, Spain"]}]}],"member":"140","published-online":{"date-parts":[[2025,6,25]]},"reference":[{"key":"2026013100172205000_ref001","doi-asserted-by":"publisher","DOI":"10.3386\/w28811","volume-title":"AI Adoption and System-Wide Change (No. w28811)","author":"Agrawal","year":"2021"},{"issue":"5","key":"2026013100172205000_ref002","doi-asserted-by":"publisher","first-page":"1473","DOI":"10.1007\/s00191-023-00845-3","article-title":"Superhuman science: how artificial intelligence may impact innovation","volume":"33","author":"Agrawal","year":"2023","journal-title":"Journal of Evolutionary Economics"},{"key":"2026013100172205000_ref003","doi-asserted-by":"publisher","DOI":"10.70301\/CONF.SBS-JABR.2024.1\/1.1","volume-title":"AI-Driven Decision Making in 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