An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain
Our study examines the relationship between information alignment (IA), collaboration (CO) and supply chain agility (SCAG) under the moderating effects of artificial intelligence-driven big data analytics capability (AI-BDAC) and intergroup leadership (IGL). We have grounded our theoretical model in...
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| Veröffentlicht in: | International journal of production research 2021-03, Vol.59 (5), p.1586-1605 |
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| container_title | International journal of production research |
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| creator | Dubey, Rameshwar Bryde, David J. Foropon, Cyril Tiwari, Manisha Dwivedi, Yogesh Schiffling, Sarah |
| description | Our study examines the relationship between information alignment (IA), collaboration (CO) and supply chain agility (SCAG) under the moderating effects of artificial intelligence-driven big data analytics capability (AI-BDAC) and intergroup leadership (IGL). We have grounded our theoretical model in the resource-based view (RBV) and contingency theory and further tested our research hypotheses using multi-informant data collected using a web-based pre-tested instrument from 613 individuals working in 193 humanitarian organisations drawn from 24 countries located on various continents across the globe. We tested our research hypotheses using variance-based structural equation modelling (PLS-SEM). Our study offers interesting results which help to advance the theoretical debates surrounding technology-driven supply chain agility in the context of humanitarian settings. We further provide some directions to managers engaged in disaster relief operations, who are contemplating using emerging technologies to enhance collaboration and supply chain agility. Finally, we have outlined the limitations of our study and offer some future research directions. |
| doi_str_mv | 10.1080/00207543.2020.1865583 |
| format | Article |
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We have grounded our theoretical model in the resource-based view (RBV) and contingency theory and further tested our research hypotheses using multi-informant data collected using a web-based pre-tested instrument from 613 individuals working in 193 humanitarian organisations drawn from 24 countries located on various continents across the globe. We tested our research hypotheses using variance-based structural equation modelling (PLS-SEM). Our study offers interesting results which help to advance the theoretical debates surrounding technology-driven supply chain agility in the context of humanitarian settings. We further provide some directions to managers engaged in disaster relief operations, who are contemplating using emerging technologies to enhance collaboration and supply chain agility. Finally, we have outlined the limitations of our study and offer some future research directions.</description><identifier>ISSN: 0020-7543</identifier><identifier>EISSN: 1366-588X</identifier><identifier>DOI: 10.1080/00207543.2020.1865583</identifier><language>eng</language><publisher>London: Taylor & Francis</publisher><subject>Alignment ; Artificial intelligence ; big data analytics ; Business administration ; Collaboration ; Contingency ; Disaster relief ; humanitarian supply chain ; Humanitarianism ; Humanities and Social Sciences ; Hypotheses ; Information alignment ; intergroup leadership ; Leadership ; Multivariate statistical analysis ; New technology ; supply chain agility ; Supply chains</subject><ispartof>International journal of production research, 2021-03, Vol.59 (5), p.1586-1605</ispartof><rights>2020 Informa UK Limited, trading as Taylor & Francis Group 2020</rights><rights>2020 Informa UK Limited, trading as Taylor & Francis Group</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c542t-27969307087cb80f49fc92fadb27ea69f21f62639429334113c50bb1d092d7ee3</citedby><cites>FETCH-LOGICAL-c542t-27969307087cb80f49fc92fadb27ea69f21f62639429334113c50bb1d092d7ee3</cites><orcidid>0000-0003-1779-9691 ; 0000-0002-3913-030X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/00207543.2020.1865583$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/00207543.2020.1865583$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,59620,60409</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03539278$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Dubey, Rameshwar</creatorcontrib><creatorcontrib>Bryde, David J.</creatorcontrib><creatorcontrib>Foropon, Cyril</creatorcontrib><creatorcontrib>Tiwari, Manisha</creatorcontrib><creatorcontrib>Dwivedi, Yogesh</creatorcontrib><creatorcontrib>Schiffling, Sarah</creatorcontrib><title>An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain</title><title>International journal of production research</title><description>Our study examines the relationship between information alignment (IA), collaboration (CO) and supply chain agility (SCAG) under the moderating effects of artificial intelligence-driven big data analytics capability (AI-BDAC) and intergroup leadership (IGL). We have grounded our theoretical model in the resource-based view (RBV) and contingency theory and further tested our research hypotheses using multi-informant data collected using a web-based pre-tested instrument from 613 individuals working in 193 humanitarian organisations drawn from 24 countries located on various continents across the globe. We tested our research hypotheses using variance-based structural equation modelling (PLS-SEM). Our study offers interesting results which help to advance the theoretical debates surrounding technology-driven supply chain agility in the context of humanitarian settings. We further provide some directions to managers engaged in disaster relief operations, who are contemplating using emerging technologies to enhance collaboration and supply chain agility. Finally, we have outlined the limitations of our study and offer some future research directions.</description><subject>Alignment</subject><subject>Artificial intelligence</subject><subject>big data analytics</subject><subject>Business administration</subject><subject>Collaboration</subject><subject>Contingency</subject><subject>Disaster relief</subject><subject>humanitarian supply chain</subject><subject>Humanitarianism</subject><subject>Humanities and Social Sciences</subject><subject>Hypotheses</subject><subject>Information alignment</subject><subject>intergroup leadership</subject><subject>Leadership</subject><subject>Multivariate statistical analysis</subject><subject>New technology</subject><subject>supply chain agility</subject><subject>Supply chains</subject><issn>0020-7543</issn><issn>1366-588X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kUuLFDEUhYM4YDvjTxAKXLmoNo_Ka2czOI7Q4MaB2YVUKunOkErKpHqkV_51U1SruDGb5J77nZuQA8BbBLcICvgBQgw57cgW18MWCUapIC_ABhHGWirE40uwWZh2gV6B16U8wbqo6Dbg5y42Pj7bMvuDnn2KTXJVcCmPa6mDP8TRxrnRcWhMCkH3KV96pQrjFOzSL82cmnKapnBuzFH72j744OdzHdccT6OOftbZ6_gPdAOunA7Fvrns1-Dh7tO32_t2__Xzl9vdvjW0w3OLuWSSQA4FN72ArpPOSOz00GNuNZMOI8cwI7LDkpAOIWIo7Hs0QIkHbi25Bu_XuUcd1JT9qPNZJe3V_W6vFg0SSiTm4hlV9t3KTjl9P9WvUU_plGN9nsKd5IQJjEWl6EqZnErJ1v0Zi6BaclG_c1FLLuqSS_U1q8-aFH356-IUEUkkZxX5uCKXIH6kHAY163NI2WUdTbWR_9_yC-Gan9Q</recordid><startdate>20210304</startdate><enddate>20210304</enddate><creator>Dubey, Rameshwar</creator><creator>Bryde, David J.</creator><creator>Foropon, Cyril</creator><creator>Tiwari, Manisha</creator><creator>Dwivedi, Yogesh</creator><creator>Schiffling, Sarah</creator><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope><scope>BXJBU</scope><orcidid>https://orcid.org/0000-0003-1779-9691</orcidid><orcidid>https://orcid.org/0000-0002-3913-030X</orcidid></search><sort><creationdate>20210304</creationdate><title>An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain</title><author>Dubey, Rameshwar ; Bryde, David J. ; Foropon, Cyril ; Tiwari, Manisha ; Dwivedi, Yogesh ; Schiffling, Sarah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c542t-27969307087cb80f49fc92fadb27ea69f21f62639429334113c50bb1d092d7ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alignment</topic><topic>Artificial intelligence</topic><topic>big data analytics</topic><topic>Business administration</topic><topic>Collaboration</topic><topic>Contingency</topic><topic>Disaster relief</topic><topic>humanitarian supply chain</topic><topic>Humanitarianism</topic><topic>Humanities and Social Sciences</topic><topic>Hypotheses</topic><topic>Information alignment</topic><topic>intergroup leadership</topic><topic>Leadership</topic><topic>Multivariate statistical analysis</topic><topic>New technology</topic><topic>supply chain agility</topic><topic>Supply chains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dubey, Rameshwar</creatorcontrib><creatorcontrib>Bryde, David J.</creatorcontrib><creatorcontrib>Foropon, Cyril</creatorcontrib><creatorcontrib>Tiwari, Manisha</creatorcontrib><creatorcontrib>Dwivedi, Yogesh</creatorcontrib><creatorcontrib>Schiffling, Sarah</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>HAL-SHS: Archive ouverte en Sciences de l'Homme et de la Société</collection><jtitle>International journal of production research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dubey, Rameshwar</au><au>Bryde, David J.</au><au>Foropon, Cyril</au><au>Tiwari, Manisha</au><au>Dwivedi, Yogesh</au><au>Schiffling, Sarah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain</atitle><jtitle>International journal of production research</jtitle><date>2021-03-04</date><risdate>2021</risdate><volume>59</volume><issue>5</issue><spage>1586</spage><epage>1605</epage><pages>1586-1605</pages><issn>0020-7543</issn><eissn>1366-588X</eissn><abstract>Our study examines the relationship between information alignment (IA), collaboration (CO) and supply chain agility (SCAG) under the moderating effects of artificial intelligence-driven big data analytics capability (AI-BDAC) and intergroup leadership (IGL). We have grounded our theoretical model in the resource-based view (RBV) and contingency theory and further tested our research hypotheses using multi-informant data collected using a web-based pre-tested instrument from 613 individuals working in 193 humanitarian organisations drawn from 24 countries located on various continents across the globe. We tested our research hypotheses using variance-based structural equation modelling (PLS-SEM). Our study offers interesting results which help to advance the theoretical debates surrounding technology-driven supply chain agility in the context of humanitarian settings. We further provide some directions to managers engaged in disaster relief operations, who are contemplating using emerging technologies to enhance collaboration and supply chain agility. 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| ispartof | International journal of production research, 2021-03, Vol.59 (5), p.1586-1605 |
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| source | Taylor & Francis:Master (3349 titles); Business Source Complete |
| subjects | Alignment Artificial intelligence big data analytics Business administration Collaboration Contingency Disaster relief humanitarian supply chain Humanitarianism Humanities and Social Sciences Hypotheses Information alignment intergroup leadership Leadership Multivariate statistical analysis New technology supply chain agility Supply chains |
| title | An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain |
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