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    <identifier identifierType="DOI">10.34820/FK2/WRECC3</identifier>
    <creators><creator><creatorName>Irjayanti, Maya</creatorName><nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-7183-4924</nameIdentifier><affiliation>(Fakultas Ekonomi dan Bisnis: KK ICT Based Management)</affiliation></creator><creator><creatorName>Anton Mulyono Azis</creatorName><nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-1345-7555</nameIdentifier><affiliation>(Fakultas Ekonomi dan Bisnis: KK ICT Based Management)</affiliation></creator></creators>
    <titles>
        <title>How Does The Coffee Supply Chain Work in Indonesia?</title>
    </titles>
    <publisher>Telkom University Dataverse</publisher>
    <publicationYear>2024</publicationYear>
    <resourceType resourceTypeGeneral="Dataset"/>
    <relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34820/FK2/WRECC3/KU6UDA</relatedIdentifier></relatedIdentifiers>
    <descriptions>
        <description descriptionType="Abstract">Indonesia is the fourth largest coffee-producing country in the world. Coffee beans produced in Indonesia are to meet not only domestic consumption but also global demand. This study focuses on investigating to what extent the performance of the coffee supply chain in Indonesia has been optimum and what factors contributing to the performance of coffee supply chain in Indonesia based on previous literature findings. This research used mixed methods of qualitative and quantitative approach and applied a comparative study from relevant literature in the global context to determine the supply chain performance weights in one area of sampling. The performance of coffee supply chain was measured in West Java area as one of coffee producers in Indonesia. The supply chain performance weight was identified using the Supply Chain Operation Reference (SCOR) approach based on various supply chain performance attributes. The results showed that the score of supply chain performance for all attributes in West Java was 71 which equaled to “average” level. This research contributes to designing a coffee supply chain model and identifies factors that require specific attention, particularly those that significantly impact supply chain performance.</description>
    </descriptions>
    <contributors><contributor contributorType="ContactPerson"><contributorName>Irjayanti, Maya</contributorName><affiliation>(Telkom University)</affiliation></contributor></contributors>
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