DC FieldValueLanguage
dc.contributor.authorPapakyriakopoulos, Dimitrios-
dc.contributor.authorPramatari, Katerina-
dc.date.accessioned2024-04-19T10:43:14Z-
dc.date.available2024-04-19T10:43:14Z-
dc.date.issued2010-11-11-
dc.identifierscopus-78049494602-
dc.identifier.issn0263-5577-
dc.identifier.other78049494602-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2163-
dc.description.abstractPurpose - The objective of this paper is to demonstrate the challenges when developing a common performance measurement system (PMS) in the context of a collaborative supply chain. Design/methodology/approach - The paper utilizes qualitative and quantitative data from a case study. The qualitative data refer to the assessment of collaborative performance measures based on interviews with experts, while the quantitative data demonstrate the use of two performance measures in a collaborative supply chain network. Findings - The development of a collaborative PMS is a challenging task. Through the systematic study of two significant performance measures for a supply chain, it was found that the one could not be supported due to reliability restrictions, while the other requires the development of a complex information system. Based on these, a discussion of specific challenges follows. Research limitations/implications - The paper has the general case study limitations. Practical implications - Companies operating in supply chain networks need to synchronize existing business processes and data before the design of a new PMS. Selecting the measures and the measurement method is not a trivial task. Important challenges reveal when dealing with, underlying data, business processes and the evaluation method of a PMS in supply chains. Originality/value - The management control function usually focuses on the design and development of PMSs for a single organization. Limited knowledge exists when more than two companies require the development of a PMS for a jointly agreed business process.en_US
dc.language.isoenen_US
dc.relation.ispartofIndustrial Management and Data Systemsen_US
dc.subjectInventoryen_US
dc.subjectPartnershipen_US
dc.subjectPerformance measurement (quality)en_US
dc.subjectSupply chain managementen_US
dc.titleCollaborative performance measurement in supply chainen_US
dc.typeArticleen_US
dc.identifier.doi10.1108/02635571011087400en_US
dc.identifier.scopus2-s2.0-78049494602-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume110en_US
dc.relation.issue9en_US
dc.identifier.spage1297en_US
dc.identifier.epage1318en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0001-7033-1890-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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