Merchant selection and pricing strategy for a platform firm in the online group buying market

Tomohiro Ando

doi:10.1007/s10479-015-2036-9

Merchant selection and pricing strategy for a platform firm in the online group buying market

Tomohiro Ando

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

The online group-buying market is characterized by intense competition between brokers, called platform firms, which function as intermediaries between merchants and consumers. In an environment of intense competition, merchant selection and pricing strategies are critical for platform firms. This paper employs business analytics to support strategy formulation for these firms by forecasting market demand and analyzing competitive environments. We apply the proposed decision framework, which relies on business analytics, to a study of the online group-buying market in Japan.

Original language	English
Pages (from-to)	209-230
Number of pages	22
Journal	Annals of Operations Research
Volume	263
Issue number	1-2
DOIs	https://doi.org/10.1007/s10479-015-2036-9
Publication status	Published - 2018 Apr 1
Externally published	Yes

Keywords

Business analytics
Disequilibrium
Endogeneity
Online group buying

ASJC Scopus subject areas

Decision Sciences(all)
Management Science and Operations Research

Access to Document

10.1007/s10479-015-2036-9

Cite this

@article{88062558963e4069be586e6fd749bb06,

title = "Merchant selection and pricing strategy for a platform firm in the online group buying market",

abstract = "The online group-buying market is characterized by intense competition between brokers, called platform firms, which function as intermediaries between merchants and consumers. In an environment of intense competition, merchant selection and pricing strategies are critical for platform firms. This paper employs business analytics to support strategy formulation for these firms by forecasting market demand and analyzing competitive environments. We apply the proposed decision framework, which relies on business analytics, to a study of the online group-buying market in Japan.",

keywords = "Business analytics, Disequilibrium, Endogeneity, Online group buying",

author = "Tomohiro Ando",

note = "Funding Information: Acknowledgements We are grateful to the Guest Editor, two anonymous referees for their helpful suggestions and comments. We also appreciate the constructive comments of participants at the 2014 INFORMS Workshop on Data Mining and Analytics. We have benefited from fruitful discussion with Anand Bodapati and Chen Hsiao. This research was partially supported by the Japan Center for Economic Research and a Grant-in-Aid for Young Scientists (B) from the Japan Society for the Promotion of Science. Publisher Copyright: {\textcopyright} 2015, Springer Science+Business Media New York.",

year = "2018",

month = apr,

day = "1",

doi = "10.1007/s10479-015-2036-9",

language = "English",

volume = "263",

pages = "209--230",

journal = "Annals of Operations Research",

issn = "0254-5330",

publisher = "Springer Netherlands",

number = "1-2",

}

TY - JOUR

T1 - Merchant selection and pricing strategy for a platform firm in the online group buying market

AU - Ando, Tomohiro

N1 - Funding Information: Acknowledgements We are grateful to the Guest Editor, two anonymous referees for their helpful suggestions and comments. We also appreciate the constructive comments of participants at the 2014 INFORMS Workshop on Data Mining and Analytics. We have benefited from fruitful discussion with Anand Bodapati and Chen Hsiao. This research was partially supported by the Japan Center for Economic Research and a Grant-in-Aid for Young Scientists (B) from the Japan Society for the Promotion of Science. Publisher Copyright: © 2015, Springer Science+Business Media New York.

PY - 2018/4/1

Y1 - 2018/4/1

N2 - The online group-buying market is characterized by intense competition between brokers, called platform firms, which function as intermediaries between merchants and consumers. In an environment of intense competition, merchant selection and pricing strategies are critical for platform firms. This paper employs business analytics to support strategy formulation for these firms by forecasting market demand and analyzing competitive environments. We apply the proposed decision framework, which relies on business analytics, to a study of the online group-buying market in Japan.

AB - The online group-buying market is characterized by intense competition between brokers, called platform firms, which function as intermediaries between merchants and consumers. In an environment of intense competition, merchant selection and pricing strategies are critical for platform firms. This paper employs business analytics to support strategy formulation for these firms by forecasting market demand and analyzing competitive environments. We apply the proposed decision framework, which relies on business analytics, to a study of the online group-buying market in Japan.

KW - Business analytics

KW - Disequilibrium

KW - Endogeneity

KW - Online group buying

UR - http://www.scopus.com/inward/record.url?scp=84944631341&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84944631341&partnerID=8YFLogxK

U2 - 10.1007/s10479-015-2036-9

DO - 10.1007/s10479-015-2036-9

M3 - Article

AN - SCOPUS:84944631341

SN - 0254-5330

VL - 263

SP - 209

EP - 230

JO - Annals of Operations Research

JF - Annals of Operations Research

IS - 1-2

ER -

Merchant selection and pricing strategy for a platform firm in the online group buying market

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this