dc.contributor.author | Badri Ahmadi, Hadi | |
dc.contributor.author | Lo, Huai-Wei | |
dc.contributor.author | Pourhejazy, Pourya | |
dc.contributor.author | Gupta, Himanshu | |
dc.contributor.author | Liou, James J.H. | |
dc.date.accessioned | 2023-01-17T08:20:23Z | |
dc.date.available | 2023-01-17T08:20:23Z | |
dc.date.issued | 2022-06-01 | |
dc.description.abstract | From 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.citation | Badri 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;125 | en_US |
dc.identifier.cristinID | FRIDAID 2034540 | |
dc.identifier.doi | 10.1016/j.asoc.2022.109157 | |
dc.identifier.issn | 1568-4946 | |
dc.identifier.issn | 1872-9681 | |
dc.identifier.uri | https://hdl.handle.net/10037/28270 | |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.journal | Applied Soft Computing | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2022 The Author(s) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_US |
dc.rights | Attribution 4.0 International (CC BY 4.0) | en_US |
dc.title | Exploring the mutual influence among the social innovation factors amid the COVID-19 pandemic | en_US |
dc.type.version | acceptedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |