A Two-Staged SEM-Artificial Neural Network Approach to Analyze the Impact of FinTech Adoption on the Sustainability Performance of Banking Firms: The Mediating Effect of Green Finance and Innovation

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datacite.relatedItem.firstPage148
datacite.relatedItem.issue5
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2079-8954
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datacite.relatedItem.titleSystems
datacite.relatedItem.volume10
dc.contributor.authorChen Yan
dc.contributor.authorAbu Bakkar Siddik
dc.contributor.authorLi Yong
dc.contributor.authorQianli Dong
dc.contributor.authorGuang-Wen Zheng
dc.contributor.authorMd Nafizur Rahman
dc.date.accessioned2025-05-22T11:07:52Z
dc.date.available2025-05-22T11:07:52Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/systems10050148
dc.identifier.otherjz000178-0147
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/36882
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc600
dc.titleA Two-Staged SEM-Artificial Neural Network Approach to Analyze the Impact of FinTech Adoption on the Sustainability Performance of Banking Firms: The Mediating Effect of Green Finance and Innovation
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/36883
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