Abstract
Recently, the intelligent tourism has become increasingly popular in tourism industry. Particularly, the tourism APP has become an important and convenient channel for tourists to make travel decisions and take relevant behaviors. The paper mainly researches the continuously using intention of customers to tourism APP among five dimensions (the behavioral intention, the subject norms, the perceived behavioral control, the past behavior and the behavioral attitude) through the theory of planned behavior model. Besides, this paper chooses the college students in Dalian, China as the research object of study and provides a research reference for tourism APP companies.
Highlights
The increasing disposable income and transportation development provide people more chance to travel
3.1 Hypothetical Raising According to previous researches, this paper shows that customer’s continuous use behavior will be influenced by 5 variates including behavioral attitude, perceived behavioral control (PBC), subject norms, past behavior and behavioral intention
Subject norm (SN) is positively correlated with behavioral intention (BI)
Summary
The increasing disposable income and transportation development provide people more chance to travel. In 2011, the sum of business transaction in China online tourism market is only 10.62 billion yuan; in 2016, this sum reaches 26.27 billion yuan; by the end of 2017, this number is predicted to over 80 billion yuan (Forward-looking Industry Research Institute, 2016). The number of China clients who order relevant tourism products like tickets and hotels through the mobile terminal have reached 266 billion people in 2016, and the growth rate of phone using for tourism use has increased from 33.9% in 2015 to 37.7% in 2016 (CNNIC, 2017). How to keep the stickiness of college students' behaviors and make them continuously use the same APP can help APPs better occupy this specific market and maintain corporate competitiveness. It is meaningful to analyze the influencing factors about the continuous using behavior of college students for an APP. This article uses these theories above to study and analyze the factors that affect consumers' continued use of the same app
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