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A SUPPLY CHAIN MANAGER SELECTION METHODOLOGY: EMPIRICAL TEST AND SUGGESTED APPLICATION
Author(s) -
Richey R. Glenn,
Tokman Mert,
Wheeler Anthony R.
Publication year - 2006
Publication title -
journal of business logistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.611
H-Index - 79
eISSN - 2158-1592
pISSN - 0735-3766
DOI - 10.1002/j.2158-1592.2006.tb00221.x
Subject(s) - adaptability , supply chain , supply chain management , selection (genetic algorithm) , business , position (finance) , empirical research , set (abstract data type) , test (biology) , process management , operations management , industrial organization , computer science , marketing , economics , management , paleontology , philosophy , finance , epistemology , artificial intelligence , biology , programming language
With the expanding global economy, no managerial position requires a broader set of skills than that of the supply chain manager. Understanding the complexities of filling this vital managerial position, recent conceptual research has called for the development of a tool designed to identify the top candidates for supply chain positions. This research presents a full test of a three hurdle methodology for supply chain manager selection. Empirical results reported here suggest that managers must possess superior general mental aptitude, need for achievement, and adaptability for firms to maximize performance.