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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Communication Management in Sport Media</JournalTitle>
				<Issn>2345-5578</Issn>
				<Volume>8</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>06</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Designing a model for identifying the factors affecting the organizational electronic readiness based of interpretive structural modeling  approach in sport and youth offices of East Azerbaijan province</ArticleTitle>
<VernacularTitle>Designing a model for identifying the factors affecting the organizational electronic readiness based of interpretive structural modeling  approach in sport and youth offices of East Azerbaijan province</VernacularTitle>
			<FirstPage>71</FirstPage>
			<LastPage>80</LastPage>
			<ELocationID EIdType="pii">7305</ELocationID>
			
<ELocationID EIdType="doi">10.30473/jsm.2020.53916.1433</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Abbas</FirstName>
					<LastName>Mostafa Zadeh</LastName>
<Affiliation>Ph.D. Student in Sports Managment, Islamic Azad University, Karaj Branch, Karaj, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Parivash</FirstName>
					<LastName>Nourbakhsh</LastName>
<Affiliation>Professor in Sports Managment, Islamic Azad University, Karaj Branch, Karaj, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Kohndel</LastName>
<Affiliation>Associate Professor in Sports Managment, Islamic Azad University, Karaj Branch, Karaj, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>07</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>The purpose of this research was to design a model to identify factors that affect the organizational electronic readiness of the sport and youth offices of East Azerbaijan province. The research method is qualitative type by using structural-interpretive modeling approach. By reviewing the research literature and interviews with 15 experts (theorical saturation), seven categories of factors influencing the measurement of e-readiness, including political, technological, and individual and human resources, environmental, e-readiness business, organizational, and managerial readiness were identified and its content validity approved by 10 academic experts and professionals. Factors based on interpretive structural modeling were placed at five levels, based on which the graph of structural-interpretive modeling was designed. The results showed that at the highest level (fifth level) the political factor, the fourth level the technological factor, at the third level the model, the individual factor and manpower, at the second level, environmental factors and e-business space and at the first level (lowest level) were managerial, and organizational factors. Based on the research findings, these factors are effective on the organizational E-electronic. By analyzing MICMAC, the variables were identified in terms of dependence power and driver power in four clusters: autonomous, dependent, linkage, and driver/independent. The results showed that factors such as political and technological have a higher power of influence, and the influence of political dimension on E- readiness is more than the influence of technological dimension. It is recommended that these factors be consider for electronic readiness.</Abstract>
			<OtherAbstract Language="FA">The purpose of this research was to design a model to identify factors that affect the organizational electronic readiness of the sport and youth offices of East Azerbaijan province. The research method is qualitative type by using structural-interpretive modeling approach. By reviewing the research literature and interviews with 15 experts (theorical saturation), seven categories of factors influencing the measurement of e-readiness, including political, technological, and individual and human resources, environmental, e-readiness business, organizational, and managerial readiness were identified and its content validity approved by 10 academic experts and professionals. Factors based on interpretive structural modeling were placed at five levels, based on which the graph of structural-interpretive modeling was designed. The results showed that at the highest level (fifth level) the political factor, the fourth level the technological factor, at the third level the model, the individual factor and manpower, at the second level, environmental factors and e-business space and at the first level (lowest level) were managerial, and organizational factors. Based on the research findings, these factors are effective on the organizational E-electronic. By analyzing MICMAC, the variables were identified in terms of dependence power and driver power in four clusters: autonomous, dependent, linkage, and driver/independent. The results showed that factors such as political and technological have a higher power of influence, and the influence of political dimension on E- readiness is more than the influence of technological dimension. It is recommended that these factors be consider for electronic readiness.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">E- Readiness</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Information technology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Interpretive Structural Modeling</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://sportmedia.journals.pnu.ac.ir/article_7305_c8587012e5bb7e545801ef9d02866506.pdf</ArchiveCopySource>
</Article>
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