Abstract

Statistics play a critical role in any modern use of technology in science and industry. Statistical concepts and methods are developed and applied in the information technology industry for various problems. In order to monitor the quality of products, to plan effective and efficient designs to improve standards, to test and analyze the quality of items produced. The increased attention paid to these problems and accompanying new statistical methodologies, has created an active and valuable new area of research application industrial statistics. There is a statistical mechanism for measuring the effects of the web page component towards the performance and quality of the website. Every web page design has their own characteristics and this characteristic has drawbacks and benefits. This study focuses on evaluating the quality of international airline websites with sample of five airways. Examined many dimensions of quality, and each dimension has been measured by specific online test using a series of diagnostic tools. The authors propose a methodology for evaluating the airline website quality based on fuzzy analytical hierarchy process model FAHPM . The result of this study confirmed that more effort is required to meet with these criteria in the context of website design. Kayalvizhi Subramanian | Gunasekar Thangarasu | Dr. Mia Torres Dela Cruz "Performance Evaluation of International Airline Websites Quality using Fuzzy Analytical Hierarchy Process Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advanced Engineering and Information Technology , November 2018, URL: https://www.ijtsrd.com/papers/ijtsrd19144.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/19144/performance-evaluation-of-international-airline-websites-quality-using-fuzzy-analytical-hierarchy-process-model/kayalvizhi-subramanian

Authors and Affiliations