Article
Manufacturing strategy–technology relationship among auto suppliers
Author/s | Ortega Jiménez, César Humberto
Garrido-Vega, Pedro Pérez Díez de los Ríos, José Luis García González, Santiago |
Department | Universidad de Sevilla. Departamento de Economía Financiera y Dirección de Operaciones Universidad de Sevilla. Departamento de Economía Aplicada I |
Publication Date | 2011 |
Deposit Date | 2018-02-27 |
Published in |
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Abstract | Each manufacturing plant has to develop its own path to success based on contingencies and on manufacturing practices links. On the basis of the latter, this paper tests the link between two of the most important manufacturing ... Each manufacturing plant has to develop its own path to success based on contingencies and on manufacturing practices links. On the basis of the latter, this paper tests the link between two of the most important manufacturing practices areas, manufacturing strategy (MS) and technology, without addressing causality or their combined effect on performance. This is done by selection fit, i.e. congruency adjustment. However, this paper goes beyond grouping both sets of practices in pairs, by using a more general selection view version, with practices from both sets related multidimensionally and subordinated by regression analysis to test for any congruent pattern. Regression results from a wide-ranging survey of auto supplier plants show that, in general, MS seems to have some kind of impact on technology, and that technology has some kind of influence on MS. In addition, a strong congruency between both practices areas is observed when using correlation. This suggests that when implementing or adjusting MS or technology, the other should also be considered; otherwise they may not operate effectively |
Project ID. | DPI-2006-05531
DPI 2009 -11148 P08-SEJ-03841 |
Citation | Ortega Jiménez, C.H., Garrido-Vega, P., Pérez Díez de los Ríos, J.L. y García González, S. (2011). Manufacturing strategy–technology relationship among auto suppliers. International Journal of Production Economics, 133 (2), 508-517. |
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