001008632 001__ 1008632 001008632 005__ 20250813052341.0 001008632 0247_ $$2ISSN$$a0895-562X 001008632 0247_ $$2ISSN$$a1573-0441 001008632 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85218690314 001008632 0247_ $$2WOS$$aWOS:001427274800001 001008632 0247_ $$2doi$$a10.1007/s11123-025-00754-6 001008632 0247_ $$2datacite_doi$$a10.18154/RWTH-2025-03053 001008632 037__ $$aRWTH-2025-03053 001008632 041__ $$aEnglish 001008632 082__ $$a330 001008632 1001_ $$0P:(DE-82)010153$$aDyckhoff, Harald$$b0$$eCorresponding author$$urwth 001008632 245__ $$aGeneral network production theory for good and bad inputs and outputs$$honline, print 001008632 260__ $$aNew York, NY$$bSpringer Science+Business Media LLC$$c2025 001008632 3367_ $$00$$2EndNote$$aJournal Article 001008632 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal 001008632 3367_ $$2BibTeX$$aARTICLE 001008632 3367_ $$2DRIVER$$aarticle 001008632 3367_ $$2DataCite$$aOutput Types/Journal article 001008632 3367_ $$2ORCID$$aJOURNAL_ARTICLE 001008632 536__ $$0G:(DE-82)021000-OAPKF$$aOAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF)$$c021000-OAPKF$$x0 001008632 588__ $$aDataset connected to CrossRef, Journals: publications.rwth-aachen.de 001008632 591__ $$aGermany 001008632 773__ $$0PERI:(DE-600)1478730-1$$a10.1007/s11123-025-00754-6$$n1$$p43-60$$tJournal of productivity analysis$$v64$$x1573-0441$$y2025 001008632 8564_ $$uhttps://publications.rwth-aachen.de/record/1008632/files/1008632.pdf$$yOpenAccess 001008632 8767_ $$c100$$d2025-03-20$$eOther$$jDEAL$$v7.00$$x021000-812210$$zServicepauschale 001008632 8767_ $$c2600$$d2025-03-20$$eHybrid-OA$$jDEAL$$v182.00$$x021000-812210 001008632 909CO $$ooai:publications.rwth-aachen.de:1008632$$pOpenAPC_DEAL$$popen_access$$popenaire$$pdriver$$pVDB$$popenCost$$pdnbdelivery 001008632 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)010153$$aRWTH Aachen$$b0$$kRWTH 001008632 9141_ $$y2025 001008632 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0 001008632 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set 001008632 915pc $$0PC:(DE-HGF)0113$$2APC$$aDEAL: Springer Nature 2020 001008632 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-06 001008632 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-06 001008632 915__ $$0StatID:(DE-HGF)0130$$2StatID$$aDBCoverage$$bSocial Sciences Citation Index$$d2024-12-06 001008632 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0 001008632 915__ $$0StatID:(DE-HGF)1220$$2StatID$$aDBCoverage$$bCurrent Contents - Business Collection$$d2024-12-06 001008632 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ PROD ANAL : 2022$$d2024-12-06 001008632 915__ $$0StatID:(DE-HGF)1180$$2StatID$$aDBCoverage$$bCurrent Contents - Social and Behavioral Sciences$$d2024-12-06 001008632 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 001008632 915__ $$0StatID:(DE-HGF)3002$$2StatID$$aDEAL Springer$$d2024-12-06$$wger 001008632 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2024-12-06 001008632 915__ $$0StatID:(DE-HGF)0430$$2StatID$$aNational-Konsortium$$d2024-12-06$$wger 001008632 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-06 001008632 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-06 001008632 9201_ $$0I:(DE-82)812210_20140620$$k812210$$lLehrstuhl für Management für Industrie 4.0$$x0 001008632 961__ $$c2025-03-20T16:28:56.393731$$x2025-03-20T16:27:22.195191$$z2025-03-20T16:28:56.393731 001008632 980__ $$aAPC 001008632 980__ $$aI:(DE-82)812210_20140620 001008632 980__ $$aUNRESTRICTED 001008632 980__ $$aVDB 001008632 980__ $$ajournal 001008632 9801_ $$aFullTexts