Artificial Intelligence And Ecommerce How Influences: Market Change (ARTIFICIAL INTELLIGENCE DEVELOPMENT)

By Johnny C.H. Lok

Why is (AI) big data gathering tool better than psychological and survey methods to predict traveler individual travel choice behavior?Prediction travel behavioral consumption from psychology and survey methods. How to predict travel consumption? It is one question to any travel agents concern to use what methods which can predict how many numbers of travelers where who will choose to go to travel more accurately. I think that who can consider how to predict travel behavioral consumption from psychology and survey travel choice prediction method, but it is better to apply (AI) big data gathering method to predict travel consumer's destination choice more accurate. The reason is as below: The first reason is that traveller individual travel psychological desire is difficult to predict accurate more than (AI) big data gathering method, it is due that the data is past traveler's destination choice and travel package and ticket price actual data from (AI) big data gathering method. Otherwise, survey investigation is only traveler psychological thinking method. It lacks enough past actual traveler data gathering.The second reason is that on the weakness of traveler individual psychological thinking view of survey investigation. It has evidence to support the relationship between self-identify threat and resistance to change travel behavior to any travelers, controlling for whose past travelling behavior, resistance to change if a psychological phenomenon of long standing interest in many applied branches of psychology. Past travelling behavior has been acknowledged as a predictor of future action. Such as travelling behavior that is experienced as successful is likely to be repeated and may lead to habitual patterns. Some psychologists differentiate habit between two concepts, such as goal oriented and automatic oriented both. Although repeated past travelling behavior is addition goal oriented and automatic oriented. Further non-deliberative nature of habit may make appeals to judge and to predict future individual traveler's behavior accurately. However, repeated one traveler will choose the destination to repeat to travel without a necessary constraint of goal orientation and automatic oriented both. So, it seems that psychological factor can influence any individual traveler why and how who choose to decide to repeat to choose the destination to travel. So, survey investigation is only the traveler's thinking to answer the travel firm. It is not sure that the traveler's past travel experience is real answer. Otherwise, (AI) big data gathering method is computer gathering method which gather past traveler consumption actual data to analyze and conclude future traveler possible repeated travel destination choice and travel package choice more accurate.The third reason is that on the strength of (AI) big data gathering method computer statistic view to predict future traveller consumer's destination and travel package choice. It is structural equation modeling is an extremely flexible linear-in-parameters multivariate statistical modeling technique. It has been used in modeling travel behavior and values since about 1980 year. It is a software method to handle a large number of variables, as well as unobserved variables specified as linear combinations ( weighted averages) of the observed variable.

• Format: Paperback
• Language: English
• ISBN13: 9798576471485
• Release Date: December 2020
• Publisher: Independently published
• Length: 338 Pages
• Weight: 2.05 lbs.
• Dimensions: 10.0" x 0.8" x 8.0"