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A Simulation Research Towards Better Leverage of Sales Ranking
by
Sun, Leilei
, Zuo, Yuqian
, Guo, Chonghui
, Tang, Lin
, Zhang, Zhen
in
Complexity
/ Consumers
/ Economic Theory/Quantitative Economics/Mathematical Methods
/ Engineering
/ Operations Research/Decision Theory
/ Ranking
/ Ratings & rankings
/ Sales
2021
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A Simulation Research Towards Better Leverage of Sales Ranking
by
Sun, Leilei
, Zuo, Yuqian
, Guo, Chonghui
, Tang, Lin
, Zhang, Zhen
in
Complexity
/ Consumers
/ Economic Theory/Quantitative Economics/Mathematical Methods
/ Engineering
/ Operations Research/Decision Theory
/ Ranking
/ Ratings & rankings
/ Sales
2021
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Do you wish to request the book?
A Simulation Research Towards Better Leverage of Sales Ranking
by
Sun, Leilei
, Zuo, Yuqian
, Guo, Chonghui
, Tang, Lin
, Zhang, Zhen
in
Complexity
/ Consumers
/ Economic Theory/Quantitative Economics/Mathematical Methods
/ Engineering
/ Operations Research/Decision Theory
/ Ranking
/ Ratings & rankings
/ Sales
2021
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A Simulation Research Towards Better Leverage of Sales Ranking
Journal Article
A Simulation Research Towards Better Leverage of Sales Ranking
2021
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Overview
As a kind of the most significantly popular information in markets, the sales ranking has great impacts on consumer choice. However, there are few discussions on how sales ranking should be provided to consumers in the literature. This paper aims to answer the following two questions: 1) To what extent does the sales ranking influence consumer choices; 2) When the sales ranking should be provided to consumers. To do so, this paper first constructs a sales ranking model and then provides detailed simulation experiments to demonstrate the model. The experimental results show that for markets where consumer preferences are dramatically different, such as music and movie markets, sales rankings do not have significant influences on consumer choices and should not be provided to consumers until a large number of early independent consumer choices have been accumulated. But for markets in which consumer preferences are similar, such as markets for official supplies, sales rankings have more influences on consumer choices and should be provided to consumers earlier. Furthermore, an evolution strategy is proposed to ascertain the most suitable sales rankings (characterised by suitable influence strength and suitable release time) for some specified online markets. The comparison results show that the optimized sales rankings not only can help consumers discover higher-quality products but also can improve overall sales.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V,SKLSDE and BDBC Lab,Beihang University,Beijing 100090,China,Institute of Systems Engineering,Dalian University of Technology,Dalian 116024,China%Institute of Systems Engineering,Dalian University of Technology,Dalian 116024,China
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