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dc.contributor.authorBadri Ahmadi, Hadi
dc.contributor.authorLo, Huai-Wei
dc.contributor.authorPourhejazy, Pourya
dc.contributor.authorGupta, Himanshu
dc.contributor.authorLiou, James J.H.
dc.date.accessioned2023-01-17T08:20:23Z
dc.date.available2023-01-17T08:20:23Z
dc.date.issued2022-06-01
dc.description.abstractFrom the triple bottom line, the social aspect has received relatively limited attention during the Corona Virus Disease (COVID-19) pandemic, particularly in the emerging economies. Social innovation factors help improve the sustainability performance of the companies. This study develops a social innovation decision framework and analyses the interrelationships among social innovation factors considering the COVID-19 situation. For this purpose, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) is extended by integrating the Z numbers and rough fuzzy set theory into its computational procedure. Z-numbers address the uncertainty of the decision and experts’ confidence in the evaluation and rough numbers are used for aggregating the experts’ opinions. On this basis, the mutual influence of social innovation factors and the influence weights of these factors are investigated. The results suggest that a quick response to market demand for sustainable products is the most influential factor in attaining social sustainability innovation during the pandemic. This article is concluded by providing insights for industrial experts and decision-makers to understand the underpinnings of social sustainability innovation during unforeseen situations.en_US
dc.identifier.citationBadri Ahmadi, Lo, Pourhejazy P, Gupta H, Liou. Exploring the mutual influence among the social innovation factors amid the COVID-19 pandemic. Applied Soft Computing. 2022;125en_US
dc.identifier.cristinIDFRIDAID 2034540
dc.identifier.doi10.1016/j.asoc.2022.109157
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.urihttps://hdl.handle.net/10037/28270
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalApplied Soft Computing
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleExploring the mutual influence among the social innovation factors amid the COVID-19 pandemicen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)