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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Sport Management and Development</JournalTitle>
				<Issn>2322-4800</Issn>
				<Volume>14</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>06</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identifying the Channels of Impact of the Spread of Corona Disease (COVID-19) on the Sport Economy in Guilan Province</ArticleTitle>
<VernacularTitle>Identifying the Channels of Impact of the Spread of Corona Disease (COVID-19) on the Sport Economy in Guilan Province</VernacularTitle>
			<FirstPage>129</FirstPage>
			<LastPage>150</LastPage>
			<ELocationID EIdType="pii">8776</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jsmd.2023.21937.2733</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Noshin</FirstName>
					<LastName>Benar</LastName>
<Affiliation>Sport management, Faculty of Sport Sciences, University of Guilan, Rasht, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-3377-2889</Identifier>

</Author>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Saeedi</LastName>
<Affiliation>Sport management, Faculty of Sport Sciences, University of Guilan, Rasht, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Masomeh</FirstName>
					<LastName>Salahshori</LastName>
<Affiliation>PhD Student of Sport management, Faculty of Sport Sciences, University of Guilan, Rasht, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>10</Month>
					<Day>18</Day>
				</PubDate>
			</History>
		<Abstract>&lt;strong&gt;Objective&lt;/strong&gt;&lt;strong&gt;:&lt;/strong&gt; The present study aimed to identify the transmission channels through which the COVID-19 pandemic affected the sports economy of Guilan Province.&lt;br /&gt;&lt;strong&gt;Methodology&lt;/strong&gt;&lt;strong&gt;:&lt;/strong&gt; This research employed a qualitative approach, utilizing the grounded theory strategy based on Glaser&#039;s method (1992). Semi-structured interviews were used as the data collection tool, and participants were selected through purposive and snowball sampling. A total of 19 interviews were conducted, and data collection continued until theoretical saturation and adequacy were achieved.&lt;br /&gt;&lt;strong&gt;Results&lt;/strong&gt;&lt;strong&gt;:&lt;/strong&gt; The results of open coding after the final screening indicated that 47 indicators could represent the transmission channels through which COVID-19 influenced the sports economy of Guilan Province. In the axial coding stage, these indicators were categorized into 14 concepts. Finally, selective coding led to the identification of six major categories: disruption in the supply side, disruption in the demand side, disruption in the labor market (employment), disruption in the private sector sports goods and services market, disruption in the public and semi-public sectors, and disruption in investment.&lt;br /&gt;&lt;strong&gt;Conclusion&lt;/strong&gt;&lt;strong&gt;:&lt;/strong&gt; Based on the findings, it is recommended that sports policymakers swiftly design and implement supportive measures and compensatory programs for sports business owners, considering the identified transmission channels. These actions can help prevent widespread closures and bankruptcies in the sector while contributing to the economic sustainability of sports. Additionally, governmental support and the introduction of investment incentives can facilitate the entry of new investors and promote the growth and development of sports services both during and after the crisis.</Abstract>
			<OtherAbstract Language="FA">&lt;strong&gt;Objective&lt;/strong&gt;&lt;strong&gt;:&lt;/strong&gt; The present study aimed to identify the transmission channels through which the COVID-19 pandemic affected the sports economy of Guilan Province.&lt;br /&gt;&lt;strong&gt;Methodology&lt;/strong&gt;&lt;strong&gt;:&lt;/strong&gt; This research employed a qualitative approach, utilizing the grounded theory strategy based on Glaser&#039;s method (1992). Semi-structured interviews were used as the data collection tool, and participants were selected through purposive and snowball sampling. A total of 19 interviews were conducted, and data collection continued until theoretical saturation and adequacy were achieved.&lt;br /&gt;&lt;strong&gt;Results&lt;/strong&gt;&lt;strong&gt;:&lt;/strong&gt; The results of open coding after the final screening indicated that 47 indicators could represent the transmission channels through which COVID-19 influenced the sports economy of Guilan Province. In the axial coding stage, these indicators were categorized into 14 concepts. Finally, selective coding led to the identification of six major categories: disruption in the supply side, disruption in the demand side, disruption in the labor market (employment), disruption in the private sector sports goods and services market, disruption in the public and semi-public sectors, and disruption in investment.&lt;br /&gt;&lt;strong&gt;Conclusion&lt;/strong&gt;&lt;strong&gt;:&lt;/strong&gt; Based on the findings, it is recommended that sports policymakers swiftly design and implement supportive measures and compensatory programs for sports business owners, considering the identified transmission channels. These actions can help prevent widespread closures and bankruptcies in the sector while contributing to the economic sustainability of sports. Additionally, governmental support and the introduction of investment incentives can facilitate the entry of new investors and promote the growth and development of sports services both during and after the crisis.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">sports economy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Corona</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Supply</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Demand</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jsmd.guilan.ac.ir/article_8776_3a55f59f7e6c8ddc8868ae0b01da084c.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
