2000
DOI: 10.1016/s0272-6963(99)00031-5
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Supply management orientation and supplier/buyer performance

Abstract: Academics and practitioners agree that excellence in supply management results in better quality, customer service, and channel performance. Yet, most of these studies are either conceptual in nature or actual case studies. The primary objective of this research is to test the impact of a supply management orientation (SMO) on the suppliers' operational performance and buyers' competitive priorities (cost, quality, delivery, flexibility). Three major research hypotheses associated with SMO, Supplier Performanc… Show more

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Cited by 675 publications
(548 citation statements)
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References 36 publications
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“…The overall fit for the measurement model was good: of χ 2 /df = 3.28 and RMSEA = 0.080. An RMSEA between 0 and 0.05 indicates a good fit, and less than 0.08 suggest a reasonable fit (Hair et al, 1998;Hu and Bentler 1999;Shin et al, 2000). Table 3 reports other relevant measures (i.e.…”
Section: Measure Validation and Reliabilitymentioning
confidence: 99%
“…The overall fit for the measurement model was good: of χ 2 /df = 3.28 and RMSEA = 0.080. An RMSEA between 0 and 0.05 indicates a good fit, and less than 0.08 suggest a reasonable fit (Hair et al, 1998;Hu and Bentler 1999;Shin et al, 2000). Table 3 reports other relevant measures (i.e.…”
Section: Measure Validation and Reliabilitymentioning
confidence: 99%
“…In today's competitive market producing highquality products is not enough and new challenges are more focused on the delivery of the goods at the suitable time and place [19,20]. Competition among businesses in the international arena is not only between organizations but also through their supply chain [21,22].…”
Section: Literature Reviewmentioning
confidence: 99%
“…[INSERT Table 2, all Crobbach's alpha coefficients were found to be greater than 0.8 (Shin, Collier, & Wilson, 2000), indicating that all variables had high internal consistence among their respective measuring items.…”
Section: Exploratory Factor Analysis and Reliability Analysismentioning
confidence: 99%