AIM Global Networks is an international company that distributes nutrition supplement in over fourteen companies. Its internet website is not well developed as expected. The internet website has eye candles with colors which are not attractive. Additionally, the company has no unique eye candle. The font size used in AIM Global Networks are too small, and the readers strain to read through (Gibbs, 2016). The pages available within the AIM Global Networks crawl when loaded and readers get bored and rarely read.
To enhance the website, the IT experts in AIM Global Network should enhance the speed of the internet website. This can be done by uninstalling the unnecessary toolbars, install the last internet explorer and also by disabling toolbars which are direct from the browser. Besides, the company should use eye candles which are unique and attractive. The company should also use medium or large fonts to attract the attention of the readers. The web also uses back-end development, and this makes it hard to see databases and the servers with eyes on the internet (Netleton, 2014).
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Toyota Corporation has a well-developed internet website with well-developed features. The eye candles used by the Toyota Corporation have attractive colors and unique features. AIM Global Networks, on the other hand, used fade colors in web internet. Toyota Company uses large font while AIM Global Networks uses small font colors. Toyota Corporation also has a well understanding of the networking capabilities compared to Aim Global Networks (Kwon & Jeong, 2014).
Conclusion
In conclusion, AIM Global Networks should work towards the development of the web internet. This can be done by improving the contents of the web internet. Employing experienced experts should also be enhanced. The AIM should ensure that the contents are current.
References
Gibbs, P. (2016). Review of The Story of Nonconformity in Wales [website]. Internet Archaeology , (42). doi:10.11141/ia.42.9
Kwon, D. Y., & Jeong, S. R. (2015). A Content Analysis for Website Usefulness Evaluation: Utilizing Text Mining Technique. Journal of Internet Computing and Services , 16 (4), 71-81. doi:10.7472/jksii.2015.16.4.71
Nettleton, D. (2014). Analysis of Data on the Internet I – Website Analysis and Internet Search. Commercial Data Mining , e1-e13. doi:10.1016/b978-0-12-416602-8.00014-5
