• Title/Summary/Keyword: Mobile applications by public sector

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Activation Strategies of the Disaster Public-Apps in Korea (국내 재난관련 공공 앱의 활성화 방안 연구)

  • Shin, Dong-Hee;Kim, Yong-Moon
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.644-656
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    • 2014
  • In recent years, a series of large-scale disastrous accidents have been occurred frequently both in public and private sector. Such disasters become catastrophe due to poor early response and delayed prompt rescue. Damage from catastrophe could have been drastically reduced or minimized with effective response and recovery management. The smart phone-based mobile applications have important potentials in providing solutions for the effective response and recovery management. Mobile applications can greatly improve risk communication in case of disasters by integrating process of exchange information and data on risk among risk evaluators, risk managers, and other interested parties. In this light of potentials, this study investigates the measures and management to better manage early responses and to effectively deal with domestic disaster-related of the status of public applications service, and utilization. This study examines how disaster applications can be better used and how effective information dissemination through applications could help the post-disaster management process. Based on this findings, it proposes a guideline of effective disaster-related applications by public sector for the future development of actual services and activation solutions. The results show that "User Promptness Side" and "Content Believability Side" factors found to be the two most significant factors in the disaster-related applications by public sector. Discussion and implications are discussed.

User Satisfaction Enhancement of 'Smart Long-Term Care' Mobile Application: In-depth Interview and Topic Modeling (스마트 장기요양 애플리케이션의 사용자 만족도 개선방안 도출: 심층 인터뷰와 토픽 모델링 활용)

  • Hong, Seoeui;An, Jaeyoung;Kwon, Youngshim
    • Journal of Information Technology Services
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    • v.21 no.1
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    • pp.163-179
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    • 2022
  • Two dominant phenomena in modern world; population ageing and digitalization, have led public sector organizations to heavily rely on B2C(Business-to-Consumer) mobile applications. Yet, fatal concerns and complaints have often been raised by the mobile application users, notably from social welfare sector. With the continual expansion of digital landscape as well as the growth of life expectancy, usage of mobile applications has become prevalent across the stakeholders involved in social welfare sector. 'Smart Long-Term Care (SLTC)', inter alia, is a primary example of such mobile applications, designed to support Long-Term Residential Care (LTRC) service. The main goal of SLTC is to serve more convenient and practical LTRC service for both caregivers and care receivers. To examine user satisfaction of SLTC mobile application, this study investigates existing challenges and means to improve user satisfaction. Hence, we conducted this study using two methods: in-depth interview and topic modeling. Interestingly, two research outcomes commonly indicated that 5 factors (stability, accessibility, usefulness, responsiveness, and ease of use) were found significant in affecting user satisfaction of SLTC. Our findings suggest that the aforementioned factors can be seen as potential causes of the genuinely low user satisfaction. Eventually, this work will be a stepping-stone to elevate the overall quality level of LTRC service along with the user satisfaction degree of SLTC mobile application.

Finding Industries for Big Data Usage on the Basis of AHP (AHP 기반의 빅데이터 활용을 위한 산업 탐색)

  • Lee, Sang-Won;Kim, Sung-Hyun
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.21-27
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    • 2016
  • Big Data is gathering all the attention from every business community. Pervasive use of machine-to-machine (M2M) applications and mobile devices bring an explosion of data. By analyzing this data, the private and public sectors can benefit in the areas of cost reduction and productivity. The Korean government is actively pursuing Big Data initiatives to promote its usage. This paper aims to select industries which fit for the development of Big Data with a verification of the experts. The analytic hierarchy process (AHP) is applied to systematically derive the opinion of more than 50 professionals. Medical / welfare, transportation / warehousing, information and communications / information security, energy, the financial sector have been identified as promising industries. The results can be utilized in developing Big Data best practices thus contributing industrial development.