| Summary: | 碩士 === 國立高雄餐旅大學 === 運輸與休閒服務規劃碩士學位學程 === 101 === Due to trade of globalization and the high growth of international population shift, ICAO have agree to issue the machine-readable passports at 2005, and have determined national passports that were to become machine readable no later than 2010. The Customs use E-passports which need to have high-capacity contactless integrated circuit (IC) with passenger’s basic data and facial, iris or fingerprint biometric data, and use RFID technology to deliver information that can rapidly winnow the passports. Traditional customs clearance procedures by the human service is not only time-consuming, labor costs are high and easy to have errors. With the scientific and technological progress, travel documents become using electronic technology, customs clearance procedures also move towards self-service mode which using metric verification or identification for customs inspection with high accuracy and less time also are an effective use of manpower and space. Automated immigration clearance system, which has been deployed widely by airports worldwide, E-Gate in Taiwan also has be officially launched on January 1, 2012. However, a trial period and formal operating for nearly two years, the number of users is still low.
According to past investigation, Technology Acceptance Model has been a popular model in explaining intention to use on people using new technology. This study is to explore factors affect travelers to use the E-Gate, using Kaohsiung International Airport for international travelers as the research object basing, and base on technology Acceptance Model as research framework adding need for interaction with a service employee and perceived risk two factor. The research utilized structure equation modeling to analyze the influence of and the relationship between need for interaction with a service employee, perceived usefulness, perceived ease of use, perceived risk, attitude on the intention to use E-Gate, and discuss the relationship between those factors. The empirical results show that: need for interaction with a service employee and perceived risk have negative effects on intention, and need for interaction with a service employee is the most importance factor effects intention, the second one is perceived, the third one is attitude.
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