Algorithmic Dynamic Pricing from E-Commerce Vendors : A Systematic Review and Future Pathways

Algorithmic Dynamic Pricing from E-Commerce Vendors: A Systematic Review and Future Pathways (SpringerBriefs in Applied Sciences and Technology)

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Algorithmic Dynamic Pricing from E-Commerce Vendors: A Systematic Review and Future Pathways (SpringerBriefs in Applied Sciences and Technology)

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Algorithmic Dynamic Pricing from E-Commerce Vendors : A Systematic Review and Future Pathways

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Algorithmic Dynamic Pricing from E-Commerce Vendors: A Systematic Review and Future Pathways (SpringerBriefs in Applied Sciences and Technology)

Overall Rating: 2.3 / 5 (average from multiple review sources, as of 23 Jun 2026)
Based on a total of 48,964 customer reviews from independent review platforms.

Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.

All brand names and logos are the property of their respective owners.

Notice:
pricehunter.co.uk cannot guarantee that published shop ratings originate from consumers who have actually made a purchase from the reviewed retailer.
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Algorithmic Dynamic Pricing from E-Commerce Vendors : A Systematic Review and Future Pathways

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This book is a concise and integrative synthesis of the rapidly expanding literature on dynamic pricing in e-commerce.Algorithmic dynamic pricing has become a central strategic tool for brand manufacturers and retailers operating in e-commerce and platform-mediated markets.Prices are no longer static decisions but are continuously updated by algorithms that learn from demand, inventory, competition, and consumer behavior-while operating under governance, fairness, and operational constraints. Based on a systematic literature review of 101 high-quality journal articles and supported by bibliometric mapping, the book organizes existing research into four coherent streams: operational and algorithmic pricing, consumer perceptions and fairness, platform governance and ecosystems, and revenue management in services and hospitality.Beyond summarizing prior work, the book proposes a contemporary definition of dynamic pricing as an algorithmic, learning-based policy and outlines 17 research pr
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