• Asia pacific journal of information systems
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• v.32 no.2
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• pp.354-380
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• 2022

This study proposed a novel model to investigate influential factors affecting the intention to continue using increasingly popular food delivery apps (FDAs). The proposed theoretical model is developed and validated to extend traditional technology acceptance and adoption theories by identifying several determinant factors that capture the unique context of FDAs continuous usage. Hypotheses were tested using a partial least square structural equation modeling approach (PLS-SEM) on data collected from 331 actual FDAs users during the COVID-19 pandemic. The results reveal that convenience, perceived compatibility, delivery experience, and online reviews significantly influence the continuous usage of FDAs. The findings also confirm the importance of continuous intention on the actual use of FDAs. The research model of this study explains 65% of variance in continuous intention and 47% in actual use. The insights provided by this study suggest fruitful directions for future research. They can also help FDAs companies, developers and marketers with strategies and tips for further development and growth by ensuring users' continuous usage of these platforms.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.56.6-56
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• 2001

The FDAS(Flight Data Analysis & Animation System) is a comprehensive analysis system designed for the improvement of flight safety. FDAS provides decoding, analysis and animation tools that can be used for investigation of data origination primarily from Flight Data Recoders(FDRs), Quick Access Recoders(QARs), Using FOQA(Flight Operation Quality Assurance) Data Analysis, an analyst can perform a variety of functions including data smoothing, interpolation, differentiation, integration, calculator function, flight path generation, performance routines, as well as user-programmed functions. Utilizing data captured and processed by our FDAS software module, FDAS provides high-fidelity 3-D aircraft views and instruments views. Multiple windows enable you to view the situation from a variety of perspectives, including out-of-window, chase plane ...

• Journal of the Korean Society for Aviation and Aeronautics
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• v.11 no.1
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• pp.17-25
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• 2003

본 논문은 비행 정보 등 각종 운항 자료를 보다 다양하게 분석하고, 좀더 쉽게 이해하기 위하여 시각적으로 구현할 수 있는 비행정보 분석시스템 개발에 대한 개념 설계서이다. 비행이 완료된 후, 항공기에 탑재된 비행 데이터 저장 장치(QAR, Quick Access Recorder)로부터 비행 및 관련 시스템 데이터를 추출한 후, 이 데이터를 변환한다. 또한 변환된 데이터를 이용하여 각종 비행 및 시스템 정보 분석과 운항 궤적 및 ND, PFD 등 조종실 내 운항 시스템들의 상황을 운항 시와 동일하게 3차원 그래픽으로 재현하는 시스템을 구축하였다. 이는 시스템 분석 및 안전, 표준 운항 체계 구축에 도움을 줄 수 있으며 유사 관련 분야로의 확대도 가능하다.

• The Journal of Industrial Distribution & Business
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• v.15 no.4
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• pp.11-18
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• 2024

Purpose: The primary purpose of this research is to investigate the multidisciplinary effect of food delivery apps (FDAs) in urban hotels in the wake of the lockdown due to Covid-19 pandemic. Specifically, the study aims: To explore and scrutinize the primary shifts in customer behavior and preferences in modern urban hotels, and to explore and scrutinize the primary shifts in customer behavior and preferences in modern urban hotels. Research design, data and methodology: This study conducted a systematic literature review to gather evidence of the FDA's effect on customer behavior and the hospitality industry during the Covid-19 pandemic. Complying with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) principles guarantees a structured and transparent method to search the literature and its analysis. Results: The result based on the systematic review has indicated that the booming business of food delivery at home companies and changing consumer tastes prove the FDA's growing circuit in the hotel industry, thus demonstrating their ability and power to adapt to changing trends. Conclusions: Therefore, this study concludes that using FDA's platform, future hospitality managers have to focus on agility in operations, innovation, and technology integration to keep up with changing consumer trends and market conditions.