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http://dx.doi.org/10.7469/JKSQM.2019.47.4.795

A Study of Factors Affecting Intention to Use of Using Technology-based Self-services for Smart Airport  

Bae, Ji Hyun (Graduate School of Business Administration, Soongsil University)
Park, Jihye (Graduate School of IT Policy and Management, Soongsil University)
Lee, Hanna (Department of Airline Service, Osan University)
Choi, Jeongil (College of Business Administration, Soongsil University)
Publication Information
Abstract
Purpose: The purpose of this study was to propose useful suggestions by analyzing the causal relationship between technology-based self-service for smart airport and intention to use. Methods: The data was collected by using the structured questionnaires. The proposed research model is tested using 231 valid questionnaires by R.3.2.1 plspm package. Results: The results of this study are as follows; the effecting factors of technology based self service for introducing smart airport, it was found that the effects of personal innovativeness and enjoyment and responsiveness, social impact were significant for acceptance and personal innovativeness was not significant on perceived usefulness. This study suggests significant factors on the implementation of smart airports and technology-based self-service. It also introduced new technologies in the future by looking at various characteristic factors that affect the intention of using technology-based self-service to promote smart airports. Conclusion: Airports and aviation industries need to have easy access to the airport's technology-based self-services to build a successful smart airport and create an environment that can be used appropriately at the time the customer wants. Also when customers use technology-based self-service devices, they should consider to maximize the positive emotions (emotional values such as pleasure or fun) that customers feel.
Keywords
Smart Airport; Technology-based Self-Service; Perceived Ease of Use; Perceived Usefulness; Intention to Use;
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Times Cited By KSCI : 1  (Citation Analysis)
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