000131156 001__ 131156
000131156 005__ 20240206154529.0
000131156 0247_ $$2doi$$a10.1016/j.omega.2012.03.010
000131156 0248_ $$2sideral$$a80656
000131156 037__ $$aART-2013-80656
000131156 041__ $$aeng
000131156 100__ $$0(orcid)0000-0001-7914-2623$$aSaenz-Royo,C.
000131156 245__ $$aLearning to learn and productivity growth: Evidence from a new car-assembly plant
000131156 260__ $$c2013
000131156 5203_ $$aThis paper models learning by experience beyond the experience curve, including the possibility of “learning to learn”: the pace of learning increases over time by building on what has already been learned. We compare the extended deterministic learning model with Jovanovic and Nyarkos' [26] stochastic learning. The theoretical models are tested with data on the total factor productivity of a car-assembly plant in its first months of operation. We find that the deterministic “mixed learning model”, where the speed of learning is equal to a constant plus a learning to learn effect, is the one that best fits the empirical data. The mixed learning model results in a time pattern of total factor productivity growth, first increasing and later decreasing, different from the always decreasing rate of growth of the learning curve, opening new perspectives on the study of learning by experience.
000131156 536__ $$9info:eu-repo/grantAgreement/ES/MEC/ECO2009-13158
000131156 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000131156 590__ $$a3.19$$b2013
000131156 591__ $$aMANAGEMENT$$b17 / 173 = 0.098$$c2013$$dQ1$$eT1
000131156 591__ $$aOPERATIONS RESEARCH & MANAGEMENT SCIENCE$$b3 / 79 = 0.038$$c2013$$dQ1$$eT1
000131156 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000131156 700__ $$0(orcid)0000-0001-8405-1056$$aSalas-Fumas,V.$$uUniversidad de Zaragoza
000131156 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas
000131156 773__ $$g41, 2 (2013), 336-344$$pOmega$$tOMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE$$x0305-0483
000131156 8564_ $$s581614$$uhttps://zaguan.unizar.es/record/131156/files/texto_completo.pdf$$yVersión publicada
000131156 8564_ $$s1199704$$uhttps://zaguan.unizar.es/record/131156/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000131156 909CO $$ooai:zaguan.unizar.es:131156$$particulos$$pdriver
000131156 951__ $$a2024-02-06-14:45:16
000131156 980__ $$aARTICLE