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	<title>Cross-Industry Analysis &#8211; BIOENGINEER.ORG</title>
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		<title>Exploring TOE Factors in AI Adoption Across Industries</title>
		<link>https://bioengineer.org/exploring-toe-factors-in-ai-adoption-across-industries/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 24 Dec 2025 17:00:04 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI Adoption]]></category>
		<category><![CDATA[Cross-Industry Analysis]]></category>
		<category><![CDATA[en uygun 5 etiket: **TOE Framework]]></category>
		<category><![CDATA[Ethical AI** **Açıklama:** 1. **TOE Framework:** Makalenin temel teorik çerçevesini doğrudan belirtir. 2. **AI Adoption:** Makalen]]></category>
		<category><![CDATA[Makalenin içeriği ve anahtar kelimeleri göz önüne alındığında]]></category>
		<category><![CDATA[Organizational Culture]]></category>
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					<description><![CDATA[In a rapidly evolving technological landscape, the integration of artificial intelligence (AI) into organizational frameworks has become a focal point for industries aiming for competitive advantage and enhanced operational efficiency. A recent meta-analysis conducted by Pinto, Abreu, and Pérez Cota sheds light on the critical factors influencing the adoption of AI within various sectors, providing [&#8230;]]]></description>
		
		
		
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