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Effect of Feedback on eBay Sellers’ Business Using Markov Chain
Department of Mathematics, Kurah, Lebanon
Department of Economics, Balamand University, Kurah, Lebanon
Department of Economics, Balamand University, Kurah, Lebanon
Department of Mathematics, Notre Dame University, Louaize, Lebanon
- 1 Department of Mathematics, Kurah, Lebanon
- 2 Department of Economics, Balamand University, Kurah, Lebanon
- 3 Department of Economics, Balamand University, Kurah, Lebanon
- 4 Department of Mathematics, Notre Dame University, Louaize, Lebanon
Journal of Mathematical Finance·Volume 09 (2019)·Pages 325–344·Published 19 June 2019·DOI10.4236/jmf.2019.93019
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Abstract
Effects of price, sold items, negative feedbacks, positive feedbacks, or no feedbacks are studied for online market engines mainly through eBay. Random walk type model is established to measure the duration that sellers with business effected negatively in order to turn it around. This study was based on data from eBay where not only prices play a role in selling items but also the impact factor that buyers depend on in general. This impact factor was studied for five different types of sellers over the same duration selling the same commodity.
KeywordsRating SystemSeller ReputationeBayMarkov ChainStochastic Process
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