• Title/Summary/Keyword: 모바일 배달 어플리케이션

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Mobile Web/App Delivery System Development (모바일 웹/앱 배달 시스템 개발)

  • Jang, Eun-Gyeom;Lee, Tae-Hyun;Jang, Jin-Woo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.285-286
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    • 2022
  • 본 연구는 주문을 하여 배달을 하기 까지 필요한 플랫폼들을 통합하여 더 나은 서비스를 지원하는 시스템이다. 주문이 가능한 주문 어플리케이션, 주문 관리 및 배달 대행 관리가 가능한 포스프로그램, 배달 대행 기사 사용하는 배달 대행 어플리케이션을 설계하였다. 주문 앱을 이용하는 소비자의 입장에서는 합리적인 가격을, 음식 업체 업주의 입장에서는 주문 어플리케이션 플랫폼 이용비 절감하는 효과를 제공한다.

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Intention to Use Mobile Delivery Application Services, Depending on Personal Innovativeness and Self-Efficacy (개인혁신성과 자기효능감이 모바일 배달 어플리케이션 서비스 이용의도에 미치는 영향)

  • Park, Min-Hee;Kwon, Mahnwoo
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.440-448
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    • 2017
  • This study aims to determine the factors affecting people's intention to use mobile delivery application services. The technology acceptance model (TAM) was employed and a survey was conducted on 300 delivery application users. As a result, personal innovativeness was found to have a positive effect on perceived ease of use and perceived playfulness. Self-efficacy turned out to have a positive influence on perceived ease of use and perceived playfulness. Next, perceived ease of use was found to positively affect both perceived usefulness and perceived playfulness, and perceived usefulness and playfulness had a positive effect on the intention to use the service as well. Lastly, personal innovativeness and self-efficacy were found to have a significant indirect influence on the intention to use the service. This study suggests users can be induced to voluntarily and continuously use the service, if their personal characteristics and perception of the service are considered in the future development of the service.

The Study about Narrative Structure of Branded Contents -Focused on the Mobile Applications for Food Delivery Service (브랜디드 콘텐츠의 서사 구조 연구 -모바일 음식 배달 어플리케이션을 중심으로)

  • Lee, Young-Soo
    • The Journal of the Korea Contents Association
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    • v.16 no.4
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    • pp.503-515
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    • 2016
  • The branded contents include various advertisements showing brand storytelling. A new mobile application service market for food delivery uses branded contents to become familiar with consumer in the beginning and built unique brand image in comparison with a rival company in the time of elaboration. This study analyzed the narrative type and structure of brand storytelling in branded contents of the three representative applications, 'Baedal Tong', 'The ethnic of Baedal', and 'Yogiyo'. Still a few study has researched the narrative type and structure of brand storytelling though different effects as narrative type. This paper divided four types of brand storytelling as the roll of brand through typology of Northrop Frye, romance, comedy, tragedy, and irony & satire. And it analyzed the narrative type and structure of branded contents of the three applications using these types and researched strategy in each time. The various narrative types beyond classical romance type are effective for brand positioning though market enter moment. This study will be helpful for the research about narrative strategy of branded contents.

Assignning Workers with Deep Learning in Food Delivery based on Mobile Crowdsouring (모바일 크라우드소싱 기반 음식 배달에서 딥러닝을 이용한 작업자 선정)

  • Lee, Yoonyeol;Kim, Ung-Mo
    • Annual Conference of KIPS
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    • 2021.05a
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    • pp.497-500
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    • 2021
  • 최근 모바일 기술이 실생활에 널리 활용하면서 점점 모바일 크라우드소싱 활용이 크게 기대되고 있다. 그래서 배달 인력이 아닌 일반인도 어플리케이션을 모바일 기기에 설치하면 배달 인력이 되어 작업을 수행할 수 있다. 본 연구에서는 일반인도 참여할 수 있는 모바일 크라우드소싱 기반 배달에서 딥러닝을 이용한 작업자 선정 기법을 소개한다. 그리고 실험을 통하여 합성곱 신경망(Convolutional Neural Network)을 적용한 본 기법이 효과적이라는 것을 보인다.

A Study on Classification of Mobile Application Reviews Using Deep Learning (딥러닝을 활용한 모바일 어플리케이션 리뷰 분류에 관한 연구)

  • Son, Jae Ik;Noh, Mi Jin;Rahman, Tazizur;Pyo, Gyujin;Han, Mumoungcho;Kim, Yang Sok
    • Smart Media Journal
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    • v.10 no.2
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    • pp.76-83
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    • 2021
  • With the development and use of smart devices such as smartphones and tablets increases, the mobile application market based on mobile devices is growing rapidly. Mobile application users write reviews to share their experience in using the application, which can identify consumers' various needs and application developers can receive useful feedback on improving the application through reviews written by consumers. However, there is a need to come up with measures to minimize the amount of time and expense that consumers have to pay to manually analyze the large amount of reviews they leave. In this work, we propose to collect delivery application user reviews from Google PlayStore and then use machine learning and deep learning techniques to classify them into four categories like application feature advantages, disadvantages, feature improvement requests and bug report. In the case of the performance of the Hugging Face's pretrained BERT-based Transformer model, the f1 score values for the above four categories were 0.93, 0.51, 0.76, and 0.83, respectively, showing superior performance than LSTM and GRU.

Design and Implementation of Food Ordering Management Services based on Bluetooth Low Energy Beacon (블루투스 저전력 에너지 비콘 기반 음식 주문관리 서비스의 설계 및 구현)

  • Song, Je-O;Kwon, Jin-Gwan;Lee, Sang-Moon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.482-483
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    • 2018
  • 스마트폰을 중심으로 한 다양한 형태의 모바일 기기의 등장과 이를 기반으로 하는 사용자 중심의 위치 정보 서비스 기술은 지속적으로 발전하고 있으며, 관련된 모바일 서비스 시장의 규모 또한 매우 큰 폭으로 성장하고 있다. 특히, GPS(Global Positioning System)를 기반으로 하는 음식점 검색과 배달 음식 주문 모바일 어플리케이션은 많은 사용자를 중심으로 보편화되고 있다. 본 논문에서는 이와 같은 음식 주문과 관련하여 BLE(Bluetooth Low Energy Beacon)비콘을 사용한 실내 사용자 위치 정보 기반의 외식 매장용 모바일 서비스를 제안한다.

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