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<Article>
<Journal>
				<PublisherName>Kharazmi University</PublisherName>
				<JournalTitle>International Journal of Supply and Operations Management</JournalTitle>
				<Issn>2383-1359</Issn>
				<Volume>13</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluating Blockchain Integration In Intelligent Logistics Ecosystems: A Comparative MCDM Approach</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>61</FirstPage>
			<LastPage>79</LastPage>
			<ELocationID EIdType="pii">2976</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijsom.2026.110886.3464</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Zineb</FirstName>
					<LastName>Kamal Idrissi</LastName>
<Affiliation>Hassan First University, ENSA, LAMSAD Laboratory, Berrechid, Morocco</Affiliation>

</Author>
<Author>
					<FirstName>Mohamed</FirstName>
					<LastName>Lachgar</LastName>
<Affiliation>Cadi Ayyad University, Higher Normal School, L2IS Laboratory, Marrakech, Morocco</Affiliation>

</Author>
<Author>
					<FirstName>Hamid</FirstName>
					<LastName>Hrimech</LastName>
<Affiliation>Hassan First University, ENSA, LAMSAD Laboratory, Berrechid, Morocco</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>09</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>&lt;strong&gt;Objective:&lt;/strong&gt; Supply chain management in dynamic environments requires advanced digital technologies to enhance transparency, security, and operational efficiency. Blockchain technology has emerged as a promising solution for improving traceability and trust in intelligent logistics ecosystems. The objective of this study is to evaluate and compare blockchain platform alternatives using a structured multi-criteria decision-making framework in order to support technology selection in modern logistics systems.&lt;br /&gt;&lt;strong&gt;Methods:&lt;/strong&gt; This research applies a comparative multi-criteria decision-making approach integrating Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), AHP-TOPSIS, and Fuzzy AHP-Fuzzy TOPSIS methods. A hierarchical evaluation model was developed. Expert judgments and literature-based criteria were used to determine weights and assess the relative performance of blockchain platform alternatives.&lt;br /&gt;&lt;strong&gt;Results:&lt;/strong&gt; The evaluation results demonstrate consistent rankings across both crisp and fuzzy decision models. Sensitivity analysis further confirms the robustness of the ranking results under different weighting scenarios.&lt;br /&gt;&lt;strong&gt;Conclusion&lt;/strong&gt;: The findings highlight the importance of scalability, interoperability, and transparency when selecting blockchain platforms for intelligent logistics ecosystems. The proposed framework provides decision-makers with a systematic evaluation tool that can support strategic technology adoption and improve decision quality in supply chain digital transformation initiatives.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">MCDM</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">AHP</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">TOPSIS</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Logistics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Blockchain</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">http://www.ijsom.com/article_2976_a209ca7b50dcaab2db7c2d4d1223d4d5.pdf</ArchiveCopySource>
</Article>
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