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Jeen-Su Lim

Researcher at University of Toledo

Publications -  40
Citations -  2896

Jeen-Su Lim is an academic researcher from University of Toledo. The author has contributed to research in topics: Competitive advantage & LISREL. The author has an hindex of 20, co-authored 40 publications receiving 2703 citations. Previous affiliations of Jeen-Su Lim include College of Business Administration.

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Manufacturing flexibility: defining and analyzing relationships among competence, capability, and customer satisfaction

TL;DR: In this paper, a framework is described to explore the relationships among flexible manufacturing competence (machine, labor, material handling, and routing flexibilities), flexible capability (volume flexibility and mix flexibility), and customer satisfaction.
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Manufacturing technology and strategy formulation: keys to enhancing competitiveness and improving performance

TL;DR: In this paper, the authors proposed that organizations that invest in advanced manufacturing technology and develop mechanisms for manufacturing managers to participate in strategy formulation will have improved competitive capabilities and better performance than firms that do not.
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The impact of supply‐chain management capabilities on business performance

TL;DR: In this paper, the impact of supply chain management (SCM) capabilities on business performance was empirically tested to determine to what degree customer-oriented SCM issues influence competitive position and organizational performance.
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Value chain flexibility: A dichotomy of competence and capability

TL;DR: In this article, the authors apply competence and capability theory to value chain flexibility and explore the relationships among environmental uncertainty, value-chain flexibility and competitive advantage, and provide a framework for understanding these relationships and build a theoretical foundation for developing and testing relationships among these constructs.
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Logistics flexibility and its impact on customer satisfaction

TL;DR: In this paper, the authors used a large sample survey from the Society of Manufacturing Engineers to develop valid and reliable instruments to measure logistics flexibility and to test the relationships among the variables using structural equation modeling.