Experimenting with Behavior Based Pricing
2014
- 1Citations
- 402Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Patent Family Citations1
- 1
- Usage402
- Downloads358
- Abstract Views44
Article Description
Many purchases of differentiated goods are repeated, giving sellers the opportunity to engage in price discrimination based upon the shopper’s previous behavior by either offering loyalty discounts to repeat buyers or introductory rates to new customers. Recent theoretical work suggests that loyalty discounts are likely to be implemented when customer preferences are not stationary and sellers can pre-commit to prices for repeat buyers, but otherwise repeat buyers can be expected to pay the same or more than new buyers. This paper reports the results of a series of controlled laboratory experiments designed to empirically test the impact of these factors on pricing strategies, seller profit and total cost to consumers. Absent price pre-commitments, sellers in the lab engage in poaching when it is optimal to do so, but the ability to pre-commit leads to prices being relatively more favorable to loyal customers. Customer poaching increases seller profit and increases total consumer costs in the case of stable consumer preferences without price pre-commitment.
Bibliographic Details
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