title: Review on supply chain network metrics
metadata.name: dc.contributor.author
metadata.value: Kazemi, Sajad
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2020-11-19T09:35:17Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2020-11-19T09:35:17Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2020-09-01
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/20697
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Recent studies focused on the importance of adopting network analysis approaches such as social network analysis in the supply chain networks to better understand and manage the roles of organizations in inter-organizational relationships. The main aim of this research is to identify and integrate network analysis metrics in the existent literature in this realm which is applicable to characterize the position and role of organizations in the supply chain network context and their impact on the behavior and outcomes of organizations and the whole supply chain network.
  To this aim, we followed a systematic literature review process using Scopus database to identify high-quality papers through several screening stages. Our findings illustrate that there are two main sources of interfirm differences including atomistic properties and relational properties. With an emphasis on relational properties through the lens of network analysis metrics, we integrated influential characteristics on actor’s behavior and performance into three main categories of node level, tie level, and network level.
  Our findings are applicable to address any emergent phenomenon and the roles of actors based on their position in the network context such as supply chain network and study their behavior and performance.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St. Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Contributions to Game Theory and Management, vol. XIII, 173–206;
metadata.lang: -
metadata.name: dc.title
metadata.value: Review on supply chain network metrics
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: Kazemi(173-206).pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/20697/1/Kazemi%28173-206%29.pdf
resources.format: Adobe PDF
resources.size: 457,31 kB