000162228 001__ 162228 000162228 005__ 20251017144629.0 000162228 0247_ $$2doi$$a10.1016/j.ijpe.2016.02.020 000162228 0248_ $$2sideral$$a93985 000162228 037__ $$aART-2016-93985 000162228 041__ $$aeng 000162228 100__ $$aBortolotti, T. 000162228 245__ $$aTowards a theory for lean implementation in supply networks 000162228 260__ $$c2016 000162228 5060_ $$aAccess copy available to the general public$$fUnrestricted 000162228 5203_ $$aThis paper aims to investigate the supply network (SN) characteristics affecting the extension of lean programmes to SN and the interactions between lean practices and these characteristics to understand how to create more favourable conditions for lean extension programmes. A multiple case study methodology is implemented to analyze different lean programmes in SNs and different contextual conditions in which they are implemented. Three different SNs have been analyzed to provide insights on the whole value stream of the Andalusian aeronautics SN. This study finds that there is a recursive influence between SN characteristics and lean practices, and explains how this interaction takes place. The choice of lean practices to adopt, their aim and implementation mode are influenced by the state of SN characteristics companies face at the beginning of the programme and the SN distance (i.e. number of SN echelons) between lean knowledge owners and recipients. This study explains also how lean practices can modify the state of SN characteristics and suggests managers a sequence of phases and sets of actions to use depending on the initial state of SN characteristics. 000162228 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 000162228 590__ $$a3.493$$b2016 000162228 591__ $$aENGINEERING, INDUSTRIAL$$b3 / 44 = 0.068$$c2016$$dQ1$$eT1 000162228 591__ $$aOPERATIONS RESEARCH & MANAGEMENT SCIENCE$$b6 / 83 = 0.072$$c2016$$dQ1$$eT1 000162228 591__ $$aENGINEERING, MANUFACTURING$$b5 / 44 = 0.114$$c2016$$dQ1$$eT1 000162228 592__ $$a2.197$$b2016 000162228 593__ $$aBusiness, Management and Accounting (miscellaneous)$$c2016$$dQ1 000162228 593__ $$aManagement Science and Operations Research$$c2016$$dQ1 000162228 593__ $$aIndustrial and Manufacturing Engineering$$c2016$$dQ1 000162228 593__ $$aEconomics and Econometrics$$c2016$$dQ1 000162228 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000162228 700__ $$aRomano, P. 000162228 700__ $$0(orcid)0000-0002-0627-0795$$aMartínez-Jurado, P.J. 000162228 700__ $$aMoyano-Fuentes, J. 000162228 773__ $$g175 (2016), 182-196$$pInt. j. prod. econ.$$tINTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS$$x0925-5273 000162228 8564_ $$s1320113$$uhttps://zaguan.unizar.es/record/162228/files/texto_completo.pdf$$yPostprint 000162228 8564_ $$s1269992$$uhttps://zaguan.unizar.es/record/162228/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000162228 909CO $$ooai:zaguan.unizar.es:162228$$particulos$$pdriver 000162228 951__ $$a2025-10-17-14:25:39 000162228 980__ $$aARTICLE