Achieving Double Bottom-Line Performance in Hybrid Organisations: A Machine-Learning Approach.
| Publicado en: | Journal of Business Ethics Vol. 190; no. 3; pp. 625 - 648 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Mar2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=176006258&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 176006258 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 01674544 BET jtl: Journal of Business Ethics issn: 01674544 maglogo: N pubinfo: dt: Mar2024 vid: 190 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 176006258 10.1007/s10551-023-05410-3 ppf: 625 ppct: 23 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2MB tig: atl: Achieving Double Bottom-Line Performance in Hybrid Organisations: A Machine-Learning Approach. aug: au: Van der Auwera, Eline D'Espallier, Bert Mersland, Roy affil: Faculty of Economics and Business, K.U. Leuven, Warmoesberg 26, 1000, Brussels, Belgium https://ror.org/03x297z98 School of Business and Law, University of Agder, Universitetsveien 19, Kristiansand, 4604, Norway pubtype: Academic Journal doctype: Article src: R ab: language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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