Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2017
Abstract
It becomes increasingly popular that some large online retailers such as Amazon open their platforms to allow third-party retail competitors to sell on their own platforms. We develop an analytical model to examine this retailer market place model and its business impact. We assume that a leading retailer has both valuation advantage that may come from its reputation and information advantage that may come from its brand awarenewss. We find that the availability of relatively low-cost advertising through social media or search engine can effectively reduce the leading retailer's information advantage, and thus be an important driving force for its strategic decision to open its platform. Not only does the advertising option directly make small sellers more visible to consumers, but also incentivizes the online retailer to open its platform and dramatically increases small sellers' exposure, indirectly contributing to an even more prominent long tail phenomen on in e-commerce.
Discipline
Databases and Information Systems | E-Commerce | Technology and Innovation
Research Areas
Information Systems and Management
Publication
Proceedings of the 11th China Summer Workshop on Information Management: CSWIM 2017: Nanjing, China, June 23-25
First Page
201
Last Page
206
Publisher
CSWIM
City or Country
Nanjing
Citation
CHEN, Jianqing and GUO, Zhiling.
Online advertising, retail platform openness, and long tail sellers. (2017). Proceedings of the 11th China Summer Workshop on Information Management: CSWIM 2017: Nanjing, China, June 23-25. 201-206.
Available at: https://ink.library.smu.edu.sg/sis_research/3928
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Databases and Information Systems Commons, E-Commerce Commons, Technology and Innovation Commons