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Review on Supply Chain Network Metrics. / Kazemi, Sajad.

In: Contributions to Game Theory and Management, Vol. 13, 2020, p. 173-206.

Research output: Contribution to journalArticle

Harvard

Kazemi, S 2020, 'Review on Supply Chain Network Metrics.', Contributions to Game Theory and Management, vol. 13, pp. 173-206. <http://elibrary.ru/item.asp?id=43973990>

APA

Kazemi, S. (2020). Review on Supply Chain Network Metrics. Contributions to Game Theory and Management, 13, 173-206. http://elibrary.ru/item.asp?id=43973990

Vancouver

Kazemi S. Review on Supply Chain Network Metrics. Contributions to Game Theory and Management. 2020;13:173-206.

Author

Kazemi, Sajad. / Review on Supply Chain Network Metrics. In: Contributions to Game Theory and Management. 2020 ; Vol. 13. pp. 173-206.

BibTeX

@article{e6e77d34cb7a4c889090e64f3f3a44f2,
title = "Review on Supply Chain Network Metrics.",
abstract = "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{\textquoteright}s behavior and perf",
keywords = "inter-organizational relationships, network analysis, social network analysis, Supply chain network, supply chain network metrics, inter-organizational relationships, network analysis, social network analysis, Supply chain network, supply chain network metrics",
author = "Sajad Kazemi",
year = "2020",
language = "English",
volume = "13",
pages = "173--206",
journal = "Contributions to Game Theory and Management",
issn = "2310-2608",

}

RIS

TY - JOUR

T1 - Review on Supply Chain Network Metrics.

AU - Kazemi, Sajad

PY - 2020

Y1 - 2020

N2 - 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 perf

AB - 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 perf

KW - inter-organizational relationships

KW - network analysis

KW - social network analysis

KW - Supply chain network

KW - supply chain network metrics

KW - inter-organizational relationships

KW - network analysis

KW - social network analysis

KW - Supply chain network

KW - supply chain network metrics

M3 - Article

VL - 13

SP - 173

EP - 206

JO - Contributions to Game Theory and Management

JF - Contributions to Game Theory and Management

SN - 2310-2608

ER -

ID: 78405590