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• W2768574345 abstract "Over the last decades, firms have increasingly shifted from traditional in‐house value creation strategies to cooperative buyer‐supplier relationships as a source of value creation and competitive advantage. To reap extensive benefits from relationships with suppliers, assuring supplier satisfaction and achieving preferred customer status are key for buyers. In the past, several mechanisms have been identified that influence supplier satisfaction and preferred customer status; however, little is known about the role of major contingency factors such as: product types, dependencies and the power to influence them. The dissertation focuses on the potential of preferred customer status to mitigate the negative effects of buyer dependency, the influences of a buyer’s power usage on supplier satisfaction, and potential perception differences of preferred status in buyer‐supplier relationships. Additionally, the dissertation adds novel methods (i.e. partial least squares point predictions and polynomial regressions with response surface modeling) together with a dyadic perspective to supplier satisfaction and preferred customer research. These methods enable an assessment of the predictive abilities of models, reveal curvilinear interaction effects and discover asymmetric relationships between factors, which would not have been discovered otherwise." @default.
• W2768574345 created "2017-12-04" @default.
• W2768574345 creator A5032064738 @default.
• W2768574345 date "2019-01-01" @default.
• W2768574345 modified "2023-09-25" @default.
• W2768574345 title "Preferred customer status, supplier satisfaction and their contingencies" @default.
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• W2768574345 doi "https://doi.org/10.1007/978-3-658-26954-8_2" @default.
• W2768574345 hasPublicationYear "2019" @default.
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