{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T18:18:13Z","timestamp":1784312293347,"version":"3.55.0"},"reference-count":79,"publisher":"Emerald","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,4]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Drawing on upper echelons theory (UET), this study empirically explores how artificial intelligence (AI) has influenced the top management team\u2019s (TMT) decision-making process in business management.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>This article is based on 21 semi-structured interviews with top managers leading AI integration in their organizations. It adopts an inductive approach and applies the Gioia methodology.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>The research identifies four primary areas of impact of AI for TMTs in managing digital business processes: (1) hybrid decision-making process, (2) AI\u2019s ethical implications, (3) TMT governance through AI, and (4) AI-driven competitive advantage. Also, a framework has been developed that provides an initial understanding of how integrating AI in organizations affects the TMT\u2019s decision-making process.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical implications<\/jats:title>\n                    <jats:p>The study provides practical insights for the TMT leveraging AI technologies to enhance decision-making in managing business processes. Additionally, it offers helpful guidance for organizations to stay at the forefront of innovation and adaptability in an ever-evolving world.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>Our findings highlight the critical role of TMT\u2019s decision-making in managing business processes transformed by AI. Moreover, the study extends the UET, highlighting how the integration of AI influences the TMT\u2019s decision-making process and how ethical implications impact these decisions and business management.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/bpmj-07-2024-0659","type":"journal-article","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T06:25:52Z","timestamp":1745475952000},"page":"1763-1784","source":"Crossref","is-referenced-by-count":15,"title":["Exploring the artificial intelligence integration in top management team decision-making: an empirical analysis"],"prefix":"10.1108","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5303-9457","authenticated-orcid":true,"given":"Simone","family":"Bevilacqua","sequence":"first","affiliation":[{"name":"University of Turin Department of Management \u201cValter Cantino\u201d, , ,","place":["Turin, Italy"]},{"name":"Marketing, and Tourism, University of Innsbruck Department of Strategic Management, , 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