@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. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.",
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",
}