The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Integrated E-Marketing-A Strategy-Driven Technical Analysis Framework
|
Author(s): Simpson Poon (Charles Sturt University, Australia), Irfan Altas (Charles Sturt University, Australia)and Geoff Fellows (Charles Sturt University, Australia)
Copyright: 2003
Pages: 11
Source title:
Architectural Issues of Web-Enabled Electronic Business
Source Author(s)/Editor(s): V.K. Murthy (University of New South Wales at Australian Defence Force Academy, Australia)and Nansi Shi (University of South Australia, Australia)
DOI: 10.4018/978-1-59140-049-3.ch021
Purchase
|
Abstract
E-marketing is considered to be one of the key applications in e-business but so far there has been no sure-fire formula for success. One of the problems is that although we can gather visitor information through behaviours online (e.g., cookies and Weblogs), often there is not an integrated approach to link up strategy formulation with empirical data. In this chapter, we propose a framework that addresses the issue of real-time objective-driven e-marketing. We present approaches that combine real-time data packet analysis integrated with data mining techniques to create a responsive e-marketing campaign. Finally, we discuss some of the potential problems facing e-marketers in the future.
Related Content
Emrah Arğın.
© 2022.
16 pages.
|
Ebru Gülbuğ Erol, Mustafa Gülsün.
© 2022.
17 pages.
|
Yeşim Şener.
© 2022.
18 pages.
|
Salim Kurnaz, Deimantė Žilinskienė.
© 2022.
20 pages.
|
Dorothea Maria Bowyer, Walid El Hamad, Ciorstan Smark, Greg Evan Jones, Claire Beattie, Ying Deng.
© 2022.
29 pages.
|
Savas S. Ates, Vildan Durmaz.
© 2022.
24 pages.
|
Nusret Erceylan, Gaye Atilla.
© 2022.
20 pages.
|
|
|