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A Simulation Research Towards Better Leverage of Sales Ranking
- Source :
- Journal of Systems Science and Systems Engineering. 30:105-122
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- 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.
- Subjects :
- 021103 operations research
Consumer choice
0211 other engineering and technologies
Comparison results
02 engineering and technology
Release time
Microeconomics
Ranking
Leverage (negotiation)
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Business
Evolution strategy
Information Systems
Subjects
Details
- ISSN :
- 18619576 and 10043756
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Journal of Systems Science and Systems Engineering
- Accession number :
- edsair.doi...........0f1e02a420340b59c811e948558c7abb
- Full Text :
- https://doi.org/10.1007/s11518-021-5478-4