Subdivided or aggregated online review systems: Which is better for online takeaway vendors?

doi:10.1007/s10660-018-9314-y

CASISD OpenIR

	Subdivided or aggregated online review systems: Which is better for online takeaway vendors?
	Wang, Hongpeng; Du, Rong; Li, Jin; Fan, Weiguo
发表期刊	ELECTRONIC COMMERCE RESEARCH
摘要	This paper examines the role of a subdivided or aggregated online review system to help online takeaway vendors select the most appropriate information strategy. First, we develop two models to depict the interaction between online vendors' information strategies and consumers' responses. Second, we take the multidimensional product attributes with their corresponding weights into consideration and illustrate that the sensitivity to product misfits, instead of the relative importance of product attributes, dominates profit maximization. Third, we make a comparison to find the most appropriate scenario to adopt a full or partial information strategy. When a large number of consumers satisfy the delivery time performance, an aggregated review system will be a better choice. Otherwise, vendors are advised to host a subdivided review system. Finally, we universally identify a variance boundary in the rating-star review system, which not only prevents consumers from expressing their real feelings but also makes observing consumer feedback and strategic adjustments inconvenient for online vendors.
	2020
卷号	20
DOI	10.1007/s10660-018-9314-y
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.casisd.cn/handle/190111/9760
专题	中国科学院科技战略咨询研究院
推荐引用方式 GB/T 7714	Wang, Hongpeng,Du, Rong,Li, Jin,et al. Subdivided or aggregated online review systems: Which is better for online takeaway vendors?[J]. ELECTRONIC COMMERCE RESEARCH,2020,20.
APA	Wang, Hongpeng,Du, Rong,Li, Jin,&Fan, Weiguo.(2020).Subdivided or aggregated online review systems: Which is better for online takeaway vendors?.ELECTRONIC COMMERCE RESEARCH,20.
MLA	Wang, Hongpeng,et al."Subdivided or aggregated online review systems: Which is better for online takeaway vendors?".ELECTRONIC COMMERCE RESEARCH 20(2020).