Skip to main navigation menu Skip to main content Skip to site footer

Peer Reviewed Article

Vol. 4 (2017)

Optimizing Web Performance: Front End Development Strategies for the Aviation Sector

Submitted
7 July 2024
Published
15-07-2017

Abstract

This study investigates front end development strategies to optimize web performance for airline websites, aiming to enhance user experience and operational efficiency. The primary objectives include identifying critical performance metrics and implementing effective optimization techniques. The methodology involved analyzing key metrics such as page load time, TTFB, FCP, LCP, CLS, TBT, and TTI, followed by the deployment of best practices like minimizing HTTP requests, optimizing images, leveraging lazy loading, and using content delivery networks (CDNs). Continuous monitoring and user feedback were integral to the iterative improvement process. Principal findings indicate that these strategies significantly improve web performance, resulting in faster load times, reduced latency, and enhanced user satisfaction. Ensuring HTTPS implementation and robust security measures further bolstered performance and trust. The study concludes that a holistic approach to web performance optimization can provide airlines with a competitive edge, fostering better customer experiences and driving business success.

References

  1. Aviation sector needs a sensible policy, fast. (2014). Vayu Aerospace and Defence Review, (6), 4-4, 6.
  2. Bekavac, I., & Pranicevic, D. G. (2015). Web analytics tools and web metrics tools: An overview and comparative analysis. Croatian Operational Research Review, 6(2), 373-386. https://doi.org/10.17535/crorr.2015.0029
  3. Chauhan, V., & Manhas, D. (2013). An Investigation of IT Adoption Propensity in Civil Aviation Sector. International Journal of Hospitality and Tourism Systems, 6(1), 23-30.
  4. Havranek, M., Hemperek, T., Kishishita, T., Kruger, H., & Wermes, N. (2014). Pixel front-end development in 65 nm CMOS technology. Journal of Instrumentation, 9, 7. https://doi.org/10.1088/1748-0221/9/01/C01003
  5. Karabetsos, S., Koulouras, G., Charamis, P., Adamidis, G., Vardiambasis, I. O., & Nassiopoulos, A. (2015). Development of the RF Front-end of a Multi-Channel Microwave Radiometer for Internal Body Temperature Measurements. Journal of Physics: Conference Series, 637(1). https://doi.org/10.1088/1742-6596/637/1/012010
  6. Korsakas, E., & Charlamov, J. (2015). Development and Investigation Of An Optical Power Meter Front End. Mokslas: Lietuvos Ateitis, 7(3), 330-334. https://doi.org/10.3846/mla.2015.794
  7. Mishra, S., & Liu, X. (2014). Optimizing Concurrency Performance of Complex Services in Mobile Environment. International Journal of Web Services Research, 11(1), 94-110. https://doi.org/10.4018/ijwsr.2014010105
  8. Parks, R. F., & Hall, C. A. (2016). Front-End and Back-End Database Design and Development: Scholar's Academy Case Study. Information Systems Education Journal, 14(2), 58-63.
  9. Paterno, F., Santoro, C., & Spano, L. D. (2012). The role of HCI models in service front-end development. Behaviour and Information Technology, 31(3), 231-244. https://doi.org/10.1080/0144929X.2011.563795
  10. RA?UL PE~ NA-ORTIZ, JOS?E A., G. I. L., SAHUQUILLO, J., & Pont, A. (2015). SURFING THE WEB USING BROWSER INTERFACE FALILITIES: A PERFORMANCE EVALUATION APPROACH. Journal of Web Engineering, 14(1-2), 3-021.
  11. Tiwari, R. A., Tuteja, R. R., Pund, M. A., & Dhande, M. R. (2012). Optimizing Performance of Source Code for Real Time System. International Journal of Advanced Research in Computer Science, 3(3).

Similar Articles

11-20 of 20

You may also start an advanced similarity search for this article.