Abstract:Customer networks go through constant changes. They may expand or shrink once they are formed. In dynamic environments, it is a critical corporate challenge to identify and manage influential customer groups in a cost effective way. In this context, we apply inverse optimization theory to suggest an efficient method to manage customer networks.In this paper, we assume that there exists a subset of nodes that might have a large effect on the network and that the network can be modified via some strategic action… Show more
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