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<Article>
<Journal>
				<PublisherName>دانشگاه کردستان</PublisherName>
				<JournalTitle>مطالعات بازاریابی ورزشی</JournalTitle>
				<Issn>2783-0535</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>03</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Impact of Observability and Compatibility on Consumers' Attitudes Towards AI-Generated Sports Marketing Content and Its Effect on Purchase Intent</ArticleTitle>
<VernacularTitle>The Impact of Observability and Compatibility on Consumers&#039; Attitudes Towards AI-Generated Sports Marketing Content and Its Effect on Purchase Intent</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>14</LastPage>
			<ELocationID EIdType="pii">63442</ELocationID>
			
<ELocationID EIdType="doi">10.22034/sms.2024.141529.1367</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Sajjad</FirstName>
					<LastName>Pashaie</LastName>
<Affiliation>Assistant Professor of Sports Management; Department of Sports Management; Faculty of Physical Education and Sport Sciences; University of Tabriz; Tabriz; Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohana</FirstName>
					<LastName>Nasirpour</LastName>
<Affiliation>MSc. Student in Sport Management; Department of Sport Management; Faculty of Physical Education and Sport Sciences; University of Tabriz; Tabriz; Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>06</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>In recent years, the integration of artificial intelligence (AI) across various industries has significantly transformed traditional practices, particularly in marketing. As sports marketing increasingly turns to AI-generated content, understanding the factors that influence consumer attitudes and purchase intentions becomes crucial for the effective utilization of this innovative technology. This article examines the impact of two key factors— observability and compatibility—of AI-generated sports marketing content on consumer attitudes and their purchase intentions. In today’s competitive world, understanding how this novel technology affects consumer behavior and how they interact with marketing content is of particular importance. Data was collected through a questionnaire using simple random sampling from sports consumers (n=300). A quantitative research method and structural equation modeling were employed, and the data were analyzed using SEM-Smart PLS &lt;sub&gt;TM&lt;/sub&gt;3 software. The results indicated that observability and compatibility significantly influence consumer attitudes, which in turn affect purchase intentions. The robustness of the research model was confirmed through R&lt;sup&gt;2&lt;/sup&gt; and β values, emphasizing the importance of using innovative technologies in sports marketing. This article is one of the few studies focusing on the effects of AI-generated content in the sports industry and offers suggestions for improving sports marketing strategies.</Abstract>
			<OtherAbstract Language="FA">In recent years, the integration of artificial intelligence (AI) across various industries has significantly transformed traditional practices, particularly in marketing. As sports marketing increasingly turns to AI-generated content, understanding the factors that influence consumer attitudes and purchase intentions becomes crucial for the effective utilization of this innovative technology. This article examines the impact of two key factors— observability and compatibility—of AI-generated sports marketing content on consumer attitudes and their purchase intentions. In today’s competitive world, understanding how this novel technology affects consumer behavior and how they interact with marketing content is of particular importance. Data was collected through a questionnaire using simple random sampling from sports consumers (n=300). A quantitative research method and structural equation modeling were employed, and the data were analyzed using SEM-Smart PLS &lt;sub&gt;TM&lt;/sub&gt;3 software. The results indicated that observability and compatibility significantly influence consumer attitudes, which in turn affect purchase intentions. The robustness of the research model was confirmed through R&lt;sup&gt;2&lt;/sup&gt; and β values, emphasizing the importance of using innovative technologies in sports marketing. This article is one of the few studies focusing on the effects of AI-generated content in the sports industry and offers suggestions for improving sports marketing strategies.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Relationship marketing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">brand support behavior</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">social responsibility in sports</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fans' attitude</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Empathy</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://gsmsmr.uok.ac.ir/article_63442_1a4998b25f4ce5897ae582d05cb66b68.pdf</ArchiveCopySource>
</Article>
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