A 2020 perspective on “Client risk informedness in brokered cloud services: An experimental pricing study”

Shang, Di; Kauffman, Robert J.

doi:10.1016/j.elerap.2020.100948

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because entry barriers are low, many firms enter these endeavours; however, because the operating costs are high and the competition is stiff, very few endure. As a result, only a small number of firms earn a large proportion of their revenue in this industry [17].…”

Section: Introductionmentioning

confidence: 99%

An Experimental Pricing Framework for E-Commerce

Vatsa

Zhou

2021

JTAER

View full text Add to dashboard Cite

Characterizing the demand curve of products is important for pricing them optimally. However, in deriving empirical demand curves, econometricians have to contend with identification issues. Furthermore, theoretical demand curves derived using standard economic theory are divorced from empirical realities: firms rarely have information on customers’ budget constraints; theoretical utility functions are seldom derived empirically. Recognizing these issues, we propose an experimental approach for determining a product’s demand curve and, in turn, its profit-maximizing price in online environments. The proposed approach yields precise estimates and is quick and inexpensive to implement.

show abstract

Section: Introductionmentioning

confidence: 99%