An empirical study of 57 top‐tier suppliers to the North American automotive industry examined the direct and complementary effects of information system infrastructure (ISI) and process improvements on time‐based performance. The results show that the three dimensions of ISI – design‐manufacturing integration (DMI), manufacturing technology (MT), and information technology (IT) – directly influenced at least one dimension of time‐based performance. For example, DMI influenced manufacturing lead time, MT influenced new product development time, and IT influenced customer responsiveness. Process improvement also directly influenced supply‐chain time performance. Finally, ISI and process improvement had a positive and complementary effect on time‐based performance. Specifically, the IT factor along with process improvement variables (standardization and concurrent engineering) had a complementary and significant positive influence on time‐based performance. The findings strongly support the idea of joint deployment of information system infrastructure and process improvement to streamline cycle time performance in a supply chain.
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1 April 2000
Research Article|
April 01 2000
The effects of information system infrastructure and process improvements on supply‐chain time performance
Jayanth Jayaram;
Jayanth Jayaram
Charles H. Lundquist College of Business, University of Oregon, Eugene, USA and
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Shawnee K. Vickery;
Shawnee K. Vickery
Eli Broad Graduate School of Management, Michigan State University, East Lansing, USA
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Cornelia Droge
Cornelia Droge
Eli Broad Graduate School of Management, Michigan State University, East Lansing, USA
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Publisher: Emerald Publishing
Online ISSN: 1758-664X
Print ISSN: 0960-0035
© MCB UP Limited
2000
International Journal of Physical Distribution & Logistics Management (2000) 30 (3-4): 314–330.
Citation
Jayaram J, Vickery SK, Droge C (2000), "The effects of information system infrastructure and process improvements on supply‐chain time performance". International Journal of Physical Distribution & Logistics Management, Vol. 30 No. 3-4 pp. 314–330, doi: https://doi.org/10.1108/09600030010326082
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