• 한국정보시스템학회지:정보시스템연구
• /
• 제32권3호
• /
• pp.225-251
• /
• 2023

Purpose The purpose of this study is to examine the future direction of in-vehicle app development and service, the relationship between potential customers' intention to use and the factors that affect it was explored. It was also checked whether the two types of app development platform and the experience of the existing smartphone app platform had a moderating effect on these relationships. Design/methodology/approach Data was gathered through surveys, collecting responses from 904 potential consumers of vehicle app services in Korea. Structural equation modeling was utilized to analyze the data. Findings According to the empirical analysis result, it was found that potential customers considered enjoyment as the most important benefit factor in in-vehicle app service, and the most important external factor affecting enjoyment was functional compatibility with smartphone. The type of vehicle app development platform did not have a meaningful moderating effect on the factor relationship, whereas the smartphone app platform experience showed a meaningful moderating effect on the relationship between factors. It was analyzed that the risk of app performance, personal information privacy, and driving safety data did not have a negative effect on the intention to use the vehicle app service.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권12호
• /
• pp.3345-3363
• /
• 2023

Developers often use cross-platform frameworks to create mobile apps that can run on multiple platforms with minimal code changes. However, these frameworks may not suit all the needs of a specific app, so developers may also use native APIs to add platform-specific features. This method eventually dilutes the advantages of cross-platform development methodology that aims to reduce development costs and time, and often leads to a decision to return back to the original native mobile development methodology. In this study, we explore a different approach: combining different cross-platform tools to develop a storybook mobile app that meets various requirements. We have demonstrated that integrating two cross-platform solutions can be used reliably to develop complex mobile applications. However, we also report that this approach can introduce unforeseen issues such as sandbox redundancy, unexpected functional burdens, and redundant permission requests. Despite these challenges, we believe that combining two cross-platform solutions can be applied to a variety of functional and performance requirements, enabling the development of more sophisticated mobile applications at lower costs and with shorter development timelines than traditional mobile app development methodologies.

• 디지털산업정보학회논문지
• /
• 제9권4호
• /
• pp.33-41
• /
• 2013

In this paper, we implemented the pattern matching with the Arduino and App Inventor platform under the bluetooth mobile environment between Android phone and Arduino Platform. The combination between Arduino and App Inventor makes the feasibility of Android programming easy by wireless communications and provides the opportunity to broaden the functionality for mobile device. We used the softwares which were Arduino IDE, VC++, OpenCV, Processing and App Inventor. And also compared the performance of mobile Arduino platform with LabView GUI programming, we reduced the usage of libraries that compiled and executed the pattern matching programming. We experimented the mobile embedded platform performance under bluetooth communication and verified the functionality of the mobile Arduino platform design for identifying the pattern matching.

• Asia pacific journal of information systems
• /
• 제34권1호
• /
• pp.150-190
• /
• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

• 한국IT서비스학회지
• /
• 제20권2호
• /
• pp.13-31
• /
• 2021

Recently, delivery app services based on the O2O platform are increasing rapidly. Accordingly, various studies on O2O service have been conducted. Most of the studies are on consumer behavior in O2O services, and few studies on platform vendors have been conducted. Therefore, this study empirically analyzed the factors affecting the vender's intention to continuous use in the O2O delivery app platform service. Based on prior researches, we set the quality characteristics and network characteristics of the O2O platform as independent variables. The quality characteristics of the O2O platform consisted of system quality, information quality, and service quality, and the O2O platform network characteristics consisted of network externality and platform reputation. Perceived value and switching cost were set as mediated variables, and vender's intention to continuous use was set as dependent variables. For empirical analysis, we conducted a survey targeting vendors of O2O delivery app platform service, and conducted frequency analysis, factor analysis, reliability analysis, and regression analysis. As a result of the analysis, the quality characteristics of the O2O platform, such as system quality, information quality, service quality, and O2O platform network characteristics, showed that network externality and platform reputation had a positive effect on perceived value. The perceived value was found to have a positive effect on the switching cost and the intention to continuous use, and the switching cost was found to mediate the perceived value and the intention to continuous use. This study can contribute to the establishment of platform operation strategy as an empirical analysis on the factors that influence the intention of O2O platform vendors to use the platform continuously.

• International Journal of Computer Science & Network Security
• /
• 제24권2호
• /
• pp.143-149
• /
• 2024

The role of social networking mobile applications such as WhatsApp in enhancing second language vocabulary learning among English language learners continues to be a subject of interest for many scholars. The current study aimed at examining medical English vocabulary learning among undergraduate students using WhatsApp compared to learning vocabulary via the Blackboard platform during the Covid-19 pandemic. To this end, 108 medical students (51 males, 57 females) enrolled in a first semester English for a specific English course participated in the study. A quasi-experimental design was adopted for two groups. Fifty-three students participated in the WhatsApp group and 55 students formed the Blackboard group. A pretest-posttest design was employed to collect data. Results of t-test scores did not show a significant difference between the WhatsApp and Blackboard groups on a vocabulary test. Results of a survey that measured students' opinion of the use of WhatsApp as a platform for learning new vocabulary showed positive perceptions since participants thought that WhatsApp enhanced their learning experience.

• 한국소프트웨어감정평가학회 논문지
• /
• 제15권1호
• /
• pp.11-24
• /
• 2019

모바일 앱 개발자는 크로스 플랫폼 개발 프레임워크를 사용하여 서로 다른 모바일 플랫폼들에 구동되는 앱들을 하나의 단계로 구현할 수 있다. 공격자들 또한 크로스 플랫폼 개발 프레임워크를 사용하여 한번 작성된 악성 코드를 여러 모바일 플랫폼들 상에 바로 수행할 수 있다. 본 논문에서는 AndroZoo 사이트로부터 수집한 안드로이드 앱들을 대상으로 크로스 플랫폼 개발 프레임워크들로 작성된 정상 앱들과 악성 앱들의 비율을 연도별로 분석한다. 분석 결과, 크로스 플랫폼 개발 프레임워크들로 작성된 정상 앱들의 비율이 지속적으로 증가하여, 2018년도에는 전체 정상 앱들에서 45%를 차지한다. 크로스 플랫폼 개발 프레임워크로 작성된 악성 앱들의 비율은 2015년에는 전체 악성 앱들에서 25%를 차지하였으나 이후 그 비율이 감소하고 있다. 이러한 연구는 크로스 플랫폼 앱 개발 시에 직면할 수 있는 여러 선택 문제들을 해결하는데 기여할 수 있다.

• 한국전자통신학회논문지
• /
• 제7권3호
• /
• pp.515-520
• /
• 2012

최근 스마트폰이나 태블릿과 같은 모바일 기기의 사용자들이 급증함에 따라 관련 앱들이 증가하게 되었고 이에 따른 모바일 광고도 증가 추세에 있다. 모바일 사용자들은 무료 앱을 통해 다양한 모바일 광고를 접할 수 있으며, 광고주와 앱 개발자들은 모바일 광고 플랫폼을 통해 손쉽게 광고를 게재할 수 있게 되었다. 본 논문에서는 국내의 모바일 광고 플랫폼에 대해 특징과 모바일 광고의 기능성 형태에 대해 설명하고, 이들의 비교 및 분석을 하고자 한다.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2016년도 추계학술대회
• /
• pp.317-320
• /
• 2016

임베디드 시스템에서 타 업체의 요청으로 코드를 공개해야 되면 하드웨어 복사 방지 대책을 세워야 힘들게 개발한 제품을 지킬 수 있다. 보안 IC칩을 사용하지 않고, 핵심코드와 하드웨어 복사를 방지하면서 펌웨어 코드를 공개할 수 있는 보안 플랫폼을 제안하고자 한다. Cortex-M3기반 MCU의 내부 Flash의 영역을 IAP(In-application programming)와 APP(Application)으로 나누어, IAP영역에는 핵심코드와 보안인증 코드를 배치하고, APP에서는 타업체의 개발자가 공개된 핵심코드의 Prototype을 사용하여 구현한 Application이 배치되는 플랫폼을 제안한다.

• 한국컴퓨터정보학회논문지
• /
• 제20권11호
• /
• pp.183-190
• /
• 2015

This paper investigates the three main functions of a typical visual app programming environment for Novice Programming developers, and compares the features. The Scratch is a visual programming environment for education, anyone can create a story easy as possible variously interaction, games, animations and more. App inventor provides precise and professional application development capabilities as compared with scratch. App Inventor in runs independently of the computer platform, and has a feature that must be constantly connected to the server over the internet, while the Inventor app runs. M-Bizmaker is suitable for commercial application development, consists of m-BizBuilder, m-BizEngine, m-BizServer or the like, provides a cross-platform visual programming environment.