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.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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-
Appears in Collections:Articles / Άρθρα
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

82
checked on Nov 20, 2024

Page view(s)

22
checked on Nov 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.