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The effect of price partitioning is due to both consumers' insufficiently adjusting for the surcharge and the clarity of the price structure provided.
Using three experiments, our research shows that appropriate online price partitioning may enhance consumers' purchase intentions, perceived value, and price satisfaction, and reduce further information search intentions.
Finally, the amount and the way the surcharges are presented are important factors to consider when designing an effective price partitioning structure.
The results imply that price partitioning is an effective obfuscation method that is allowing retailers to continue to maintain mark-ups and profit margins in Internet settings.
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Revealing how species loss affects ecosystem function: the trait-based Price Equation partition.
However, the Price Equation partition is silent on the underlying determinants of species' functional contributions.
We apply this new trait-based Price Equation partition to studies of species loss from grassland plant communities and protist microcosm food webs.
Here we extend the Price Equation partition by using multiple regression to describe how species' functional contributions depend on species' traits.
The protist microcosm data also illustrate how the trait-based Price Equation partition can be applied when species' functional contributions depend in part on the traits of other species.
Recent work proposes a general theoretical framework, the "Price Equation partition," for understanding how species loss affects ecosystem functions that comprise the summed contributions of individual species (e.g., primary production).
Then, we find the optimal pricing and capacity partitioning by addressing the revenue maximization problem in the tiered service.
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