Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/147801
Title: USING THE ACE ALGORITHM TO EXPLORE THE RELATIONSHIPS AMONG THE COMPETITIVE DIMENSIONS OF MANUFACTURING STRATEGY AND COMPETITIVE PERFORMANCE FOR ESTABLISHED AND EMERGING MANUFACTURING COUNTRIES
Authors: EUGENE LIM
Issue Date: 2013
Citation: EUGENE LIM (2013). USING THE ACE ALGORITHM TO EXPLORE THE RELATIONSHIPS AMONG THE COMPETITIVE DIMENSIONS OF MANUFACTURING STRATEGY AND COMPETITIVE PERFORMANCE FOR ESTABLISHED AND EMERGING MANUFACTURING COUNTRIES. ScholarBank@NUS Repository.
Abstract: While the manufacturing sector has long been recognized as the cornerstone of early economic growth, little has been done to verify if manufacturing strategies formulated and thought to work for established manufacturing countries could be applied to emerging manufacturing countries. Hence, it is with this aim that our study explored the relationships among the competitive dimensions of manufacturing strategy and competitive performance. Primary data collected from 163 manufacturing plants across the automotive supplies, electronics, and machinery industries were used. We split the data set into two clusters with Japan, the U.S.A, and Germany (“JUG”) representing the established countries, and Brazil and China (“BC”) representing the emerging countries. Through the application of the Alternating Conditional Expectations (“ACE”) algorithm on the aforementioned clusters separately, our study surfaced several nonlinear and counterintuitive results. Specifically, the possession of proprietary resources and the orientation of manufacturing as a competitive resource were found to vary negatively with competitive performance for BC, but not for JUG. The achievement of functional integration was found to vary negatively with competitive performance for JUG, but not for BC. Moreover, these relationships were found to plateau over the mid-ranges. A proactive IT posture was found to possess the most statistically significant positive relationship with competitive performance for both JUG and BC. Based on our findings, we suggested several hypotheses that could explain our observations. The managerial implications, limitations, and future research directions stemming from our study were also discussed.
URI: http://scholarbank.nus.edu.sg/handle/10635/147801
Appears in Collections:Bachelor's Theses

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