Affiliation:
1. Department of Business Data Analytics & Information Systems, Arkansas Tech University, Russellville, AR, USA
Abstract
To the best of our knowledge there has been no study that has published a literature review of Internet advertising, online market places, and social e-commerce in the Information System discipline journals. Publishing such articles relating to literature reviews of online market places and Internet advertising is extremely important and essential for the following reasons: (1) to provide insights and understanding to social media and online firms on strategies that can be implemented to improve Internet revenues and click-through rates, (2) provide a comprehensive analysis of some of the most influential studies in Internet advertising and social e-commerce, (3) present some of the benefits and limitations of prior studies in Internet advertising and social e-commerce, (4) encourage scholars and researchers in all disciplines to educate and enlighten college students on what Information systems consist of, and (5) present techniques to measure the effectiveness of Internet advertising and the vast monetary value of Internet advertising.
Reference105 articles.
1. Abe, N., & Nakamura, A. (1999). Learning to optimally schedule internet banner advertisements. In Proc. of the 16th International Conference on Machine Learning (pp. 12-22).
2. Adoption of Mobile Commerce Technology
3. Scheduling space-sharing for internet advertising
4. Online marketing research
5. Web Usage Mining
Cited by
1 articles.
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