Is Prediction Tourism More Easy Than Publish Consumer Behavior

This book divides three parts. The first part , I shall explain what the strategies differences are between online and offline book shops. The second part, I shall indicate how and why online and offline publishers need to learn how to predict readers' reading behavior. The third part, I shall explain how to apply artificial intelligent tool to predict traveler behavior as well as I shall indiate what the strategies differences are between online and offline tourism service. My aim research this two questions: (1) What factors influence to predict tourism consumer behavior ( e-travel ticket or paper ticket buyer) more easy than publish consumer behavior ( e-book or paper book buyer) ? (2) Why and how can artificial intelligent tool predict traveler entertainment behavior more easy than book buyer reading behavior? The first part explains online and offline book shop competition is serious. Book readers have these both channel to choose to buy either electronic book or paper book to study. How can traditional offlince book shop achieve strategy to compete online book shop ? What are online book shop weaknesses or strengths? What are traditional offline book shop weaknesses or strengths? What is future book publishing development trend? These questions will have suggestions to be given to book publishers to let them to learn more marketing strategies. Nowadays, online and offline book shop competition is serious. Book readers have these both channel to choose to buy either electronic book or paper book to study. How can traditional offlince book shop achieve strategy to compete online book shop ? What are online book shop weaknesses or strengths? What are traditional offline book shop weaknesses or strengths? What is future book publishing development trend? These questions will have suggestions to be given to book publishers to let them to learn more marketing strategies. Nowadays, publishing industry competition is serious. Electronic books, newspapers will be popular to let readers have more reading method to choice. So, publishers need to consider what factors can attract readers to choose to read their books, magazines, journals, newspapers in order to avoid reading customer number reduces as well as they choose other medias to replace their reading medias. In second part, it concerns how to attract readers’ reading interest to persuade them to choose to buy the publish firm’s books to read? It is one interesting question to every publisher. I shall explain what factors can influence the readers to keep positive attitude to read the publishers’ reading products as well as how to solve any readers’ reading interest loses to the publishers’ reading product challenges in order to avoid its reading customer number reduces. It is one reading consumption psychological research topic book for every interesting reading psychological publishing industry readers. The Three part aims to explain what strategies will be different between online and offline travel agents as well as I shall indicate how to apply (AI) tool to predict traveler behavior . To indicate what are online travel and general travel service strategy difference aspect.