A Classified Advertisement Framework to Support Niche and other Targeted Markets

Adam E. Bodenmiller, Adnan K. Shaout and Zhivko V. Tyankov
Additional contact information
Adam E. Bodenmiller: The Electrical and Computer Engineering Department, The University of Michigan-Dearborn, Dearborn, MI, USA
Adnan K. Shaout: The Electrical and Computer Engineering Department, The University of Michigan-Dearborn, Dearborn, MI, USA
Zhivko V. Tyankov: The Electrical and Computer Engineering Department, The University of Michigan-Dearborn, Dearborn, MI, USA

International Journal of Enterprise Information Systems (IJEIS), 2016, vol. 12, issue 3, 38-59

Abstract: Classified advertisement sites often follow two different approaches to filter classified advertisement data to customers and potential customers. The first approach is to reach out to the broader market, allowing the customers to filter to their target market on the classified website. The downside of this approach is that it lacks the customization and specialization people in a niche market tend to prefer. The second approach is to create classified advertisement websites that are customized to meet the needs of a target or niche market. This specialization is more appealing to niche market customers. However, the second approach is more focused. Therefore, the customer base is smaller, and expanding to more markets requires building more websites, which can be costly in time, money and effort. In this paper the authors propose a framework that allows website developers to quickly and efficiently create targeted market websites. The framework proposed enables website developers to quickly customize text, context and features offered on the newly created targeted market website. In addition, the framework overcomes the entry barrier new websites face by obtaining the starting classified listings required to make a new classified website viable to potential buyers and sellers.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJEIS.2016070103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jeis00:v:12:y:2016:i:3:p:38-59

Access Statistics for this article

International Journal of Enterprise Information Systems (IJEIS) is currently edited by Gianluigi Viscusi

More articles in International Journal of Enterprise Information Systems (IJEIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().