• Title/Summary/Keyword: Mobile App Services

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온라인-오프라인의 연결 그리고 인공지능 : 자동차 모바일 네비게이션 앱 활용 맥락 (Online-Offline Connectivity and Artificial Intelligence : Car Navigation App)

  • 김태경
    • 한국IT서비스학회지
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    • 제18권1호
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    • pp.201-217
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    • 2019
  • Cars have become a necessity in modern life. It is widely used to transport people or products to a destination conveniently. However, the addition of a navigation service that provides route information and more makes driving more convenient and safer. Recent developments in the mobile app ecosystem encourages people to adopt not only an installation-type car navigation, but also a mobile app navigation, supporting connected car concepts. It should be noted that mobile apps with mobile Internet can be a significant linkage between information acquired online and offline business. This study demonstrates the impact of the app use experience for a driver in the context of applying artificial intelligence service. As a result, the introduction of artificial intelligence services has a statistically significant moderating effect on the use of mobile navigation apps. This seminal research is valuable as it evaluates the role of artificial intelligence applied to mobile navigation apps.

스마트폰 애플리케이션을 활용한 국내외 대학도서관의 모바일 서비스에 관한 연구 (A Study on Mobile Services Based on Smartphone Application in Academic Libraries)

  • 정종기
    • 한국비블리아학회지
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    • 제22권1호
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    • pp.171-191
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    • 2011
  • 본 연구는 스마트폰과 앱에 관한 정보통신기술의 원리를 소개하고 스마트폰 앱을 활용한 국내외 대학도서관의 대표적인 서비스 사례들을 살펴보고 미래 도서관의 모바일서비스 예측에 의거 바람직한 스마트폰 앱기반의 모바일 서비스 전략을 제시하였다. 국내 대학도서관에서 스마트폰 앱기반 모바일서비스를 활성화시키기 위해서는 첫째, 모바일 웹과 앱을 연계한 하이브리드 서비스 체제를 구축할 필요가 있다. 둘째, 도서관서비스에 적용할 스마트폰 앱 평가 원칙을 수립한다. 셋째, 대학도서관의 마케팅과 교육서비스에 앱을 개발하거나 활용한다. 넷째, 앱정보에 대한 앱서지 정보서비스를 제공할 것을 제안하였다.

The Effect of Service Convenience and Mobile Apps on Consumer Re-Use in the Service Trade Market: A Focus on China Medical Tourist

  • Kim, Seong-Jin
    • Journal of Korea Trade
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    • 제23권4호
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    • pp.58-79
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    • 2019
  • Purpose - This study focused on the effect of mobile app information system quality on re-use intention in the medical service trade, and examined how the Chinese, currently the main consumer of Korea's medical service trade, obtained information through mobile apps, and the status of satisfaction felt by experiencing medical services. Design/methodology - The survey period was from November 2018 to January 2019, and was conducted on Chinese who voluntarily experienced medical services. The collected data verified causality of the study model through the statistical program, SPSS.24. The results showed that the most popular medical institution through the medical service mobile app is dermatology, and the quality of the app's information system plays a mediating role in influencing re-use intention. Findings - Overall, the current trade in medical services is first accessed and acquired through mobile apps, and as a result, consumers revisit medical institutions according to the reliability of information. Comments and likes, another new form of the word of mouth that has greatly influenced revisiting in the past, are seen to be spreading through the app's medical information. Originality/value - The previous market for the medical services trade was formed by very conservative word of mouth, but now we believe that the app's information system actively influences the revisit effect. This means that apps can be used in diverse areas in the medical service trade market. In addition, the medical service market needs to further develop a mobile app environment that can reflect consumers' diverse needs, behaviors, and culture from time to time in order to revitalize the service trade. Such an app environment development will have tremendous promotional effects on the trade market and provide directions for expanding trade in medical services.

A Study on the Quality Improvement of Mobile App Services of Medical Institutions: Focus on the Kano Model and PCSI Index

  • PARK, Ae-Jun;LEE, Yeon-Sook
    • 산경연구논집
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    • 제10권6호
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    • pp.19-27
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    • 2019
  • Purpose - The purpose of this study was to examine quality improvement priorities by examining not only quality classifications but also PCSI (Kano, 1984) of mobile app service qualities of general hospitals in the Metropolitan Area and offer potential improvements. Research design, data, and methodology - The study examined five of service qualities, including app design, reaction, convenience, safety and supply of information by precedent studies. 20 test items were selected. A total of 60 positive and negative questions to estimate customer satisfaction and PCSI was investigated. The author collected 300 copies from interviewees who made use of the app services of 13 general hospitals within one year, and classified quality factors by using table of quality assessment and also estimated the customer satisfaction index (Timko, 1993). The study made quality improvement priority by the PCSI index. Results - Reaction of the mobile app service quality ranked the highest PCSI, and payment safety ranked the highest, and customer support and supply of the information ranked high as well. It was observed that design ranked comparatively lower in these categories. Conclusion - Safety, reaction and supply of information should be prioritized to reorganize and improve the mobile app services.

중국 모바일 앱 서비스 만족에 관한연구 -유료와 무료 모바일 서비스의 비교- (A study on the service satisfaction of Chinese mobile Apps -Comparing paid and free services-)

  • 진영;이상준;이경락
    • 디지털융복합연구
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    • 제15권4호
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    • pp.127-137
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    • 2017
  • 스마트폰은 전화 통화와 정보 교환 수준의 장치에서 종합적 문화서비스 플랫폼으로 변화하고 있다. 스마트폰의 모바일 앱 서비스에 대한 만족도는 스마트 비즈니스에서 매우 중요한 요소라고 할 수 있다. 본 논문에서는 모바일 앱 서비스의 결과품질, 유동적 상호작용품질, 서비스스케이프, 비용이 고객만족에 미치는 영향을 분석하였고, 특히 서비스가 유료 혹은 무료 인가에 따른 고객만족에 미치는 영향을 알아보았다. 이를 위하여, 중국 모바일 앱 서비스 이용자로부터 모바일 앱 서비스의 서비스 품질에 관한 설문 데이터를 분석하였다. 또한, 유료와 무료 모바일 앱 서비스의 조절효과를 분석하였다. 연구 결과 고객이 인지하는 모바일 앱 서비스의 결과품질, 서비스 스케이프 품질과 비용은 고객만족에 정의 영향을 미침을 확인하였다. 또한, 고객이 인지하는 모바일 앱 서비스의 비용이 고객만족에 미치는 영향은 무료모바일 앱 서비스가 유료 모바일 앱 서비스보다 더 유의하게 나타났다. 본 논문은 유료 모바일 앱 서비스를 제공하거나 무료에서 유료로 모바일 앱 서비스를 전환하려는 모바일 앱 서비스 제공회사에게 수익창출의 대안으로 활용될 수 있다.

Mobile App 서비스에 특화된 Out of Box Experience의 연구 (Out of Box Experience for Mobile App Services)

  • 김예슬
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2014년도 추계 종합학술대회 논문집
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    • pp.15-16
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    • 2014
  • 제품/서비스의 전체 사용 경험 주기에서 사용자 인지와 수용에 영향력을 행사하는 첫 단계에 해당하는 OOBE(Out of Box Experience)를 Mobile App 서비스에 맞게 재구성하였다. 본 연구는 "사용자가 서비스를 획득하고(Acquire), 서비스 사용을 준비하다가(Prepare), 어느 시점에서 본격적으로 서비스를 사용하기 시작(First Use)"하는 3단계를 제시한다.

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G4C 스마트 앱 서비스 특성이 사용의도에 미치는 영향: 한·중 비교 분석을 중심으로 (The Influence of Using Intention by G4C Smart Application Service Characteristics: Comparing Korea and China)

  • 상회강;김화경;이종호
    • 유통과학연구
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    • 제12권11호
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    • pp.85-100
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    • 2014
  • Purpose - Recently, the prevalence of high-speed mobile communication technology (4G) and mobile devices (smart phones, tablet PC, etc.) is leading innovative changes across all fields in society as well as business environments. Furthermore, a diversified mobile application service has spread rapidly through mobile devices such as smart phones and tablet PCs. Accordingly, the traditional E-government services paradigm has rapidly changed into mobile intelligence. To identify the influencing factors on the using intention of G4C smart app services, based on previous studies, the variables that influence using G4C smart app services are defined; these are user cognitive factors (perceived usefulness, perceived easiness), user characteristics factors (user innovativeness, self-efficiency, social influence), service quality factors (convenience, interactivity, accessibility), and system quality factors (instant connectivity, safety). Research design, data, and methodology - This is designed not only to collect data with a questionnaire survey (9/22/13~10/23/13) but also to test hypotheses with SEM by SPSS 21.0 and AMOS 21.0 in both Korea and China. All items are used with Likert 5 scales. A total of 643 questionnaires (Korea 318, China 325) are used. Results - The perceived usefulness and perceived easiness in user cognitive factors have positive influence on using intention. The user innovativeness, self-efficiency, and social factors in user characteristics factors have positive influences on using intention. The convenience, interactivity, and accessibility in service quality factors have positive influences on both reliability and using intention. Safety in system quality has positive influence on both reliability and using intention. Reliability has positive influence on using intention. The control variables (Korea and China) affect its control hypothesis. Strategies and implications are suggested to assist the public using the intention of smartphone's e-government services based on the results of the empirical analysis. The mobile application service can be considered a new emergence of the paradigm just like the government's on-line portal websites appeared in the past. Under this prevailing situation of mobile smart devices, to promote the success of e-government mobile APP services, accurate analysis and understanding of users should precede anything, to provide services to grasp and satisfy users' desire properly. Conclusions - This study proposes implications to help E-governmental officers and companies make strategies. First, this is expected to give some information on the understanding and knowledge regarding the process of G4C smart APP service based on the empirical study. Second, this helps to make future policies and ways about E-government G4C smart APP service. Third, it is proved that super speed mobile communication technology and devices including phones will be crucial to change the structure of E-government services in 2-3 years. Fourth, it is necessary to increase the trust and using intention of users. Fifth, considering what type of environment users are placed in, to present proper public information matching their inclination, is important. Finally, various ways of experiencing service to explore potential users and ceaseless public relations are required.

React Native and Android Mobile Apps for Smart Tourism Information Service to FITs

  • Cho, Hyun-Ji;Lee, Jin-Yi;Park, Tae-Rang;Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권2호
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    • pp.63-69
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    • 2022
  • We develop a smart tourism information system that provides smart tourism services to free independent tourists (FITs) through various content distribution channels such as mobile apps, Instagram, YouTube, and chatbots. The smart tourism information system provides location and storytelling-based tourism information, accommodation, restaurant information, and recommended travel products so that tourists can create a travel itinerary based on personalized situation awareness. The smart tourism information system also provides smart tourism services using commercial maps, navigation, and weather forecast APIs from the Korea Meteorological Administration to provide smart tour guide services to tourists who travel according to the travel itinerary. In this paper, we develop the React Native app that provides smart tourism services provided by the smart tourism information system. The smart tourism React Native app has implemented two methods: a method that directly connects to the smart tourism information system, and a method that provides services by interworking through the GraphQL Query Language developed by META (Facebook). The smart tourism React Native app implements OSMU (One Source Multi-use) by providing tourism information from mobile apps, photos from Instagram, and drone videos from YouTube as an integrated UI.

모바일 앱의 사용자 의견으로부터 소프트웨어 및 시스템 요구사항을 추출하기 위한 프로세스와 방법 (Processes and Methods for Eliciting Software and System Requirements from Users' Opinions in Mobile App)

  • 오동석;김선빈;류성열
    • 한국IT서비스학회지
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    • 제13권4호
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    • pp.397-410
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    • 2014
  • For mobile service organizations, it is one of the most important tasks to reflect users' opinions rapidly and accurately. In this study, the process is defined to elicit requirements of software/system improvement for mobile application by extracting and refining from users' opinion in mobile app, and detailed activities procession method in this processing are also proposed. The process consists of 3 activities to get requirements of software/system improvement for mobile app. First activity is to transform mobile app to software structure and define term dictionary. Second activity is to elicit simple sentences based on software from users' opinion and refine them. The last activity is to integrate and adjust refined requirements. To verify the usability and validity of the proposed process and the methods, the outputs of manual processing and semi-automated processing were compared. As a result, efficiency and improvement possibility of the process were confirmed through extraction ratio of requirements, comparison of execution time, and analysis of agreement ratio.

Mobile App Recommendation with Sequential App Usage Behavior Tracking

  • Yongkeun Hwang;Donghyeon Lee;Kyomin Jung
    • Journal of Internet Technology
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    • 제20권3호
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    • pp.827-838
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    • 2019
  • The recent evolution of mobile devices and services have resulted in such plethora of mobile applications (apps) that users have difficulty finding the ones they wish to use in a given moment. We design an app recommendation system which predicts the app to be executed with high accuracy so that users are able to access their next app conveniently and quickly. We introduce the App-Usage Tracking Feature (ATF), a simple but powerful feature for predicting next app launches, which characterizes each app use from the sequence of previously used apps. In addition, our method can be implemented without compromising the user privacy since it is solely trained on the target user's mobile usage data and it can be conveniently implemented in the individual mobile device because of its less computation-intensive behavior. We provide a comprehensive empirical analysis of the performance and characteristics of our proposed method on real-world mobile usage data. We also demonstrate that our system can accurately predict the next app launches and outperforms the baseline methods such as the most frequently used apps (MFU) and the most recently used apps (MRU).