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Manufacturing strategy-technology relationship among auto suppliers

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  • Ortega Jiménez, César H.
  • Garrido-Vega, Pedro
  • Pérez Díez de los Ríos, José Luis
  • García González, Santiago

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 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.

Suggested Citation

  • Ortega Jiménez, César H. & Garrido-Vega, Pedro & Pérez Díez de los Ríos, José Luis & García González, Santiago, 2011. "Manufacturing strategy-technology relationship among auto suppliers," International Journal of Production Economics, Elsevier, vol. 133(2), pages 508-517, October.
    • Handle: RePEc:eee:proeco:v:133:y:2011:i:2:p:508-517
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    Cited by:

    1. Yu, Jiang & Liu, Rui & Chen, Feng, 2020. "Linking institutional environment with technological change: The rise of China's flat panel display industry," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    2. Ortega-Jimenez, Cesar H. & Garrido-Vega, Pedro & Cruz Torres, Cristian Andrés, 2020. "Achieving plant responsiveness from reconfigurable technology: Intervening role of SCM," International Journal of Production Economics, Elsevier, vol. 219(C), pages 195-203.
    3. D. Thorleuchter & D. Van Den Poel, 2012. "Protecting Research and Technology from Espionage," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/824, Ghent University, Faculty of Economics and Business Administration.
    4. Arana-Solares, Iván Andrés & Ortega-Jiménez, César H. & Alfalla-Luque, Rafaela & Pérez-Díez de los Ríos, José Luis, 2019. "Contextual factors intervening in the manufacturing strategy and technology management-performance relationship," International Journal of Production Economics, Elsevier, vol. 207(C), pages 81-95.
    5. D. Thorleuchter & D. Van Den Poel, 2012. "Technology Classification with Latent Semantic Indexing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/814, Ghent University, Faculty of Economics and Business Administration.
    6. Ang, James S.K. & Shimada, Tomoaki & Quek, Ser-Aik & Lim, Eugene, 2015. "Manufacturing strategy and competitive performance – An ACE analysis," International Journal of Production Economics, Elsevier, vol. 169(C), pages 240-252.
    7. D. Thorleuchter & D. Van Den Poel, 2013. "Semantic Compared Cross Impact Analysis," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/862, Ghent University, Faculty of Economics and Business Administration.

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