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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Univrsity Of Tehran Press</PublisherName>
				<JournalTitle>Journal of Information Technology Management</JournalTitle>
				<Issn>2980-7972</Issn>
				<Volume>17</Volume>
				<Issue>Special Issue on Strategic, Organizational, and Social Issues of Digital Transformation in Organizations</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>02</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Enhancing Generative AI Usage for Employees: Key Drivers and Barriers</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>24</FirstPage>
			<LastPage>54</LastPage>
			<ELocationID EIdType="pii">100696</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jitm.2025.100696</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ishraf</FirstName>
					<LastName>Zaoui</LastName>
<Affiliation>Head of the Research Chair in Digital Innovation &amp; AI, Associate Professor in Marketing, Inseec BBA Lyon, France.</Affiliation>

</Author>
<Author>
					<FirstName>Yousra</FirstName>
					<LastName>Hallem</LastName>
<Affiliation>Associate Professor in Marketing, Inseec BBA Lyon, France.</Affiliation>

</Author>
<Author>
					<FirstName>Imed</FirstName>
					<LastName>Ben Nasr</LastName>
<Affiliation>Associate Professor, Excelia Business School, CERIIM, France.</Affiliation>

</Author>
<Author>
					<FirstName>Sonia</FirstName>
					<LastName>Bougatfa</LastName>
<Affiliation>Assistant Professor in Marketing, Inseec BBA Bordeaux, France.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>02</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>This study examines the use of AI tools within work environments, particularly Generative AI (Gen-AI). Its objective is to comprehend the factors affecting employees&#039; adoption and utilization of such tools. The research applies the Technology, Organization, and Environment (TOE) framework to pinpoint potential factors and formulate hypotheses regarding their influence on employees&#039; Gen-AI usage frequency. A quantitative research approach was conducted among a sample of 316 American employees. Results suggest that employees&#039; perceived Gen-AI intelligence and warmth positively impact their usage through the mediation of performance expectancy. Effort expectancy only mediates the relationship between perceived Gen-AI intelligence and Gen-AI employee usage. Findings also show that the perceived severity of Gen-AI has a negative influence on employees’ usage and that an organization&#039;s absorptive capacity of Gen-AI does not influence employees’ usage. Critical drivers for Gen-AI utilization encompass technological proficiency, peer influence, and regulatory backing. These outcomes underscore the significance of nurturing a corporate culture that encourages innovation and adherence to regulations to successfully integrate Gen-AI in workplaces.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Generative Artificial Intelligence (Gen-AI)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">AI use</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Technology Acceptance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Organiza-tional adoption</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">TOE framework</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jitm.ut.ac.ir/article_100696_9f9f5db67a174696dd6848a9e511b84d.pdf</ArchiveCopySource>
</Article>
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