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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Isfahan University of Medical Sciences</PublisherName>
				<JournalTitle>Health Information Management</JournalTitle>
				<Issn>1735-7853</Issn>
				<Volume>18</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>10</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Representing a Model of Health Tourism Supply Chain Risks, Meta-Synthesis Approach, and Structural-Interpretive Modeling</ArticleTitle>
<VernacularTitle>Representing a Model of Health Tourism Supply Chain Risks, Meta-Synthesis Approach, and Structural-Interpretive Modeling</VernacularTitle>
			<FirstPage>172</FirstPage>
			<LastPage>181</LastPage>
			<ELocationID EIdType="pii">11809</ELocationID>
			
<ELocationID EIdType="doi">10.22122/him.v18i4.4342</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Esmaeil</FirstName>
					<LastName>Mazroui-Nasrabadi</LastName>
<Affiliation>Assistant Professor, Production and Operations Management, Department of Management, School of Humanities, University of Kashan, Kashan, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-0270-4293</Identifier>

</Author>
<Author>
					<FirstName>Elham</FirstName>
					<LastName>Mohammadipour</LastName>
<Affiliation>MSc, Business Administration, Department of Management, School of Humanities, University of Kashan, Kashan, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-8223-5740</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>05</Month>
					<Day>15</Day>
				</PubDate>
			</History>
		<Abstract>Introduction: In an economy with a supply chain from raw materials to the final product, there may be risks that affect the entire supply chain and cause a critical situation. To date, 19 articles have identified and prioritized the risks of the health tourism supply chain, the results of which show contradictions. Therefore, this study endeavored to do meta-synthesis and model the risks of the health tourism supply chain.Methods: In the first stage, the meta-synthesis qualitative method was used and keywords such as “health tourism supply chain risks, healthcare tourism supply chain risks, medical tourism supply chain risks” were reviewed in databases of Google Scholar, Web of Science, PubMed, ScienceDirect, Emerald Insight, ProQuest, and Scientific Information Database (SID). In the second stage, using the structural-interpretive modeling method, the identified risk model was developed.Results: Using the meta-synthesis method, risks were categorized into seven concept codes, including supply, process, organizational, industry, network, end customer, and environmental risks. Besides, the results of structural-interpretive modeling showed environmental risk of health tourism as the most effective risk and organizational, network, process, and supply risks as the most susceptible risks.Conclusion: According to the conceptual model of the study, environmental risk has the most impact and supply, process, organizational, and network risks have the most susceptibility. Therefore, examining the risks of the health tourism supply chain is important for countries interested in developing and improving the quality of this industry. Besides, managers, policymakers, and planners in the field of health tourism should take into account the benefits of risk identification and analysis at the supply chain level. </Abstract>
			<OtherAbstract Language="FA">Introduction: In an economy with a supply chain from raw materials to the final product, there may be risks that affect the entire supply chain and cause a critical situation. To date, 19 articles have identified and prioritized the risks of the health tourism supply chain, the results of which show contradictions. Therefore, this study endeavored to do meta-synthesis and model the risks of the health tourism supply chain.Methods: In the first stage, the meta-synthesis qualitative method was used and keywords such as “health tourism supply chain risks, healthcare tourism supply chain risks, medical tourism supply chain risks” were reviewed in databases of Google Scholar, Web of Science, PubMed, ScienceDirect, Emerald Insight, ProQuest, and Scientific Information Database (SID). In the second stage, using the structural-interpretive modeling method, the identified risk model was developed.Results: Using the meta-synthesis method, risks were categorized into seven concept codes, including supply, process, organizational, industry, network, end customer, and environmental risks. Besides, the results of structural-interpretive modeling showed environmental risk of health tourism as the most effective risk and organizational, network, process, and supply risks as the most susceptible risks.Conclusion: According to the conceptual model of the study, environmental risk has the most impact and supply, process, organizational, and network risks have the most susceptibility. Therefore, examining the risks of the health tourism supply chain is important for countries interested in developing and improving the quality of this industry. Besides, managers, policymakers, and planners in the field of health tourism should take into account the benefits of risk identification and analysis at the supply chain level. </OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Risk</Param>
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			<Object Type="keyword">
			<Param Name="value">Supply Chain</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Health Tourism</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Meta-Synthesis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://him.mui.ac.ir/article_11809_d7ead5493404dfc648694a5793608bdf.pdf</ArchiveCopySource>
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