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Risk-agility interactive model: a new look at agility drivers
Purpose According to the definitions presented for agility drivers, it can be mentioned that supply chain risk factors in terms of feature have very close roles to agility drivers and both of these factors impact the uncertainty in the environment. However, the risk factors with a wider domain are m...
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Published in: | Journal of modelling in management 2017-01, Vol.12 (4), p.690-711 |
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container_title | Journal of modelling in management |
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creator | Zanjirchi, Seyed Mahmoud Jalilian, Negar Mirhoseini, Ali |
description | Purpose
According to the definitions presented for agility drivers, it can be mentioned that supply chain risk factors in terms of feature have very close roles to agility drivers and both of these factors impact the uncertainty in the environment. However, the risk factors with a wider domain are more comprehensive. This study aims to examine the effectiveness of risk as a driver on the organizational agility.
Design/methodology/approach
To conduct the research, after identification of influential risk factors of supply chain and indicators of organizational agility, questionnaires needed for the research were designed and after confirming their validity and reliability were distributed among the member of the sample. To assess the relationship between supply chain risk and the amount of organizational agility, data obtained from the questionnaires were analyzed using structural equation modeling technique.
Findings
The results of data analysis showed that supply chain risk factors could be considered as a driver affecting the organizational agility. In addition, in this study, supply chain risk factors were ranked using interpretive structural modeling. The presented comprehensive model indicated that based on causal relationships between risk factors, sovereign risk as the basis for model (three levels) and product and customer satisfaction risks as the output of the model (Level 1) were considered.
Originality/value
This paper fulfills an identified need to study how the risk factors as drivers of supply chain agility can have effect on agility. |
doi_str_mv | 10.1108/JM2-01-2016-0007 |
format | article |
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According to the definitions presented for agility drivers, it can be mentioned that supply chain risk factors in terms of feature have very close roles to agility drivers and both of these factors impact the uncertainty in the environment. However, the risk factors with a wider domain are more comprehensive. This study aims to examine the effectiveness of risk as a driver on the organizational agility.
Design/methodology/approach
To conduct the research, after identification of influential risk factors of supply chain and indicators of organizational agility, questionnaires needed for the research were designed and after confirming their validity and reliability were distributed among the member of the sample. To assess the relationship between supply chain risk and the amount of organizational agility, data obtained from the questionnaires were analyzed using structural equation modeling technique.
Findings
The results of data analysis showed that supply chain risk factors could be considered as a driver affecting the organizational agility. In addition, in this study, supply chain risk factors were ranked using interpretive structural modeling. The presented comprehensive model indicated that based on causal relationships between risk factors, sovereign risk as the basis for model (three levels) and product and customer satisfaction risks as the output of the model (Level 1) were considered.
Originality/value
This paper fulfills an identified need to study how the risk factors as drivers of supply chain agility can have effect on agility.</description><identifier>ISSN: 1746-5664</identifier><identifier>EISSN: 1746-5672</identifier><identifier>DOI: 10.1108/JM2-01-2016-0007</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Accountability ; Competition ; Competitive advantage ; Cybersecurity ; Energy consumption ; Flexibility ; Manufacturing ; Product life cycle ; Productivity ; R&D ; Research & development ; Researchers ; Risk ; Structural equation modeling ; Suppliers ; Supply chains</subject><ispartof>Journal of modelling in management, 2017-01, Vol.12 (4), p.690-711</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c343t-62bb5da54dcb305f30413b461bc0b3b4984c0deab74bcbb20dbec8d1dcf857493</citedby><cites>FETCH-LOGICAL-c343t-62bb5da54dcb305f30413b461bc0b3b4984c0deab74bcbb20dbec8d1dcf857493</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1961868163/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1961868163?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11687,27923,27924,36059,44362,74766</link.rule.ids></links><search><creatorcontrib>Zanjirchi, Seyed Mahmoud</creatorcontrib><creatorcontrib>Jalilian, Negar</creatorcontrib><creatorcontrib>Mirhoseini, Ali</creatorcontrib><title>Risk-agility interactive model: a new look at agility drivers</title><title>Journal of modelling in management</title><description>Purpose
According to the definitions presented for agility drivers, it can be mentioned that supply chain risk factors in terms of feature have very close roles to agility drivers and both of these factors impact the uncertainty in the environment. However, the risk factors with a wider domain are more comprehensive. This study aims to examine the effectiveness of risk as a driver on the organizational agility.
Design/methodology/approach
To conduct the research, after identification of influential risk factors of supply chain and indicators of organizational agility, questionnaires needed for the research were designed and after confirming their validity and reliability were distributed among the member of the sample. To assess the relationship between supply chain risk and the amount of organizational agility, data obtained from the questionnaires were analyzed using structural equation modeling technique.
Findings
The results of data analysis showed that supply chain risk factors could be considered as a driver affecting the organizational agility. In addition, in this study, supply chain risk factors were ranked using interpretive structural modeling. The presented comprehensive model indicated that based on causal relationships between risk factors, sovereign risk as the basis for model (three levels) and product and customer satisfaction risks as the output of the model (Level 1) were considered.
Originality/value
This paper fulfills an identified need to study how the risk factors as drivers of supply chain agility can have effect on agility.</description><subject>Accountability</subject><subject>Competition</subject><subject>Competitive advantage</subject><subject>Cybersecurity</subject><subject>Energy consumption</subject><subject>Flexibility</subject><subject>Manufacturing</subject><subject>Product life cycle</subject><subject>Productivity</subject><subject>R&D</subject><subject>Research & development</subject><subject>Researchers</subject><subject>Risk</subject><subject>Structural equation modeling</subject><subject>Suppliers</subject><subject>Supply chains</subject><issn>1746-5664</issn><issn>1746-5672</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNptkE1LAzEQhoMoWKt3jwueY2c22SQVPEjxk4ogeg75Wtl2263JVum_N6UqCJ7mPTzvDPMQcopwjghq9PBYUkBaAgoKAHKPDFByQSshy_3fLPghOUppBiAUl3JALp-bNKfmrWmbflM0yz5E4_rmIxSLzof2ojDFMnwWbdfNC9MXP6CPGYnpmBzUpk3h5HsOyevN9cvkjk6fbu8nV1PqGGc9FaW1lTcV984yqGoGHJnlAq0Dm8NYcQc-GCu5ddaW4G1wyqN3taokH7MhOdvtXcXufR1Sr2fdOi7zSY1jgUooFCxTsKNc7FKKodar2CxM3GgEvZWksyQNqLeS9FZSrox2lbDIj7f-v8YfrewLjmZnnA</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Zanjirchi, Seyed Mahmoud</creator><creator>Jalilian, Negar</creator><creator>Mirhoseini, Ali</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F~G</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20170101</creationdate><title>Risk-agility interactive model: a new look at agility drivers</title><author>Zanjirchi, Seyed Mahmoud ; Jalilian, Negar ; Mirhoseini, Ali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-62bb5da54dcb305f30413b461bc0b3b4984c0deab74bcbb20dbec8d1dcf857493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Accountability</topic><topic>Competition</topic><topic>Competitive advantage</topic><topic>Cybersecurity</topic><topic>Energy consumption</topic><topic>Flexibility</topic><topic>Manufacturing</topic><topic>Product life cycle</topic><topic>Productivity</topic><topic>R&D</topic><topic>Research & development</topic><topic>Researchers</topic><topic>Risk</topic><topic>Structural equation modeling</topic><topic>Suppliers</topic><topic>Supply chains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zanjirchi, Seyed Mahmoud</creatorcontrib><creatorcontrib>Jalilian, Negar</creatorcontrib><creatorcontrib>Mirhoseini, Ali</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of modelling in management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zanjirchi, Seyed Mahmoud</au><au>Jalilian, Negar</au><au>Mirhoseini, Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk-agility interactive model: a new look at agility drivers</atitle><jtitle>Journal of modelling in management</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>12</volume><issue>4</issue><spage>690</spage><epage>711</epage><pages>690-711</pages><issn>1746-5664</issn><eissn>1746-5672</eissn><abstract>Purpose
According to the definitions presented for agility drivers, it can be mentioned that supply chain risk factors in terms of feature have very close roles to agility drivers and both of these factors impact the uncertainty in the environment. However, the risk factors with a wider domain are more comprehensive. This study aims to examine the effectiveness of risk as a driver on the organizational agility.
Design/methodology/approach
To conduct the research, after identification of influential risk factors of supply chain and indicators of organizational agility, questionnaires needed for the research were designed and after confirming their validity and reliability were distributed among the member of the sample. To assess the relationship between supply chain risk and the amount of organizational agility, data obtained from the questionnaires were analyzed using structural equation modeling technique.
Findings
The results of data analysis showed that supply chain risk factors could be considered as a driver affecting the organizational agility. In addition, in this study, supply chain risk factors were ranked using interpretive structural modeling. The presented comprehensive model indicated that based on causal relationships between risk factors, sovereign risk as the basis for model (three levels) and product and customer satisfaction risks as the output of the model (Level 1) were considered.
Originality/value
This paper fulfills an identified need to study how the risk factors as drivers of supply chain agility can have effect on agility.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/JM2-01-2016-0007</doi><tpages>22</tpages></addata></record> |
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source | ABI/INFORM Global; Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list) |
subjects | Accountability Competition Competitive advantage Cybersecurity Energy consumption Flexibility Manufacturing Product life cycle Productivity R&D Research & development Researchers Risk Structural equation modeling Suppliers Supply chains |
title | Risk-agility interactive model: a new look at agility drivers |
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