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• W1522766406 abstract "Market segmentation, a central concept of a market orientation has focused primarily on managing heterogeneities on the demand side of a market. However, in order to meet consumer demands that are becoming more complex (such as the mass customization of products), firms may find it beneficial to optimally manage and coordinate heterogeneities, not only on the demand-side of a market but also on the supply-side. In other words, to manage the supply chain more effectively, firms may need to segment the supply-side of the marketplace. Thus, the entire supply chain could deal with heterogeneities on both the demand and supply-side more effectively. To do so, the concept of “supply-side segmentation” is presented, which is defined as “a state of supply chain heterogeneity, where the total supply pool can be disaggregated into segments that potentially can satisfy distinct demand functions in the market place (Erevelles et al., 2001).”By using segmentation at different levels of the supply-chain, firms can not only find an appropriate segment on demand side of a market that their product or service can satisfy relatively well, but also efficiently find a disaggregated supply-side segment that potentially can satisfy the needs of the previously identified demand-side segment or another supply-side segment in the supply chain. Further, for the purpose of simultaneously aligning these supply-side and demand-side segments at all levels of supply chain, the concept of “transvectional segment” is suggested. This “transvectional” view of the supply chain goes beyond the “transactional” view, an implicit characteristic of market segmentation in most of the past literature. In this viewpoint, a firm is not just partnering with its immediate supplier in producing a product or service for the next immediate downstream customer, as viewed in a transactional approach to the supply chain. Rather, the firm is partnering simultaneously with all upstream suppliers, as well as with all downstream users to conglomerate and optimize all resources in the supply chain. In order to analyze this complex heterogeneity of both the supply-side and demand-side of the market, the use of the Artificial Neural Network (ANN) is proposed. Although ANN has been applied in other disciplines, partly as a method of classification, its application in" @default.
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• W1522766406 date "2008-02-01" @default.
• W1522766406 modified "2023-09-24" @default.
• W1522766406 title "Moving Segmentation Up the Supply-Chain: Supply Chain Segmentation and Artificial Neural Networks" @default.
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• W1522766406 doi "https://doi.org/10.5772/5350" @default.
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