• Journal of Information Technology Applications and Management
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• 제31권1호
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• pp.163-175
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• 2024

This study conducts topic modeling analysis on four electric scooter sharing platforms: Alpaca, SingSing, Kickgoing, and Beam. Using user review data, the study aims to identify key topics and issues associated with each platform, as well as uncover common themes across platforms. The analysis reveals that users primarily express concerns and preferences related to application usability, service mobility, and parking/accessibility. Additionally, each platform exhibits unique characteristics and challenges. Alpaca users generally appreciate convenience and enjoyment but express concerns about safety and service areas. SingSing faces issues with application functionality, while Kickgoing users encounter connectivity problems and device usability issues. Beam receives overall positive feedback, but users express dissatisfaction with application usability and parking. Based on these findings, scooter sharing service providers should focus on enhancing application features, stability, and expanding service coverage to meet user expectations and improve customer satisfaction. Furthermore, highlighting platform-specific strengths and providing tailored services can enhance competitiveness and foster continuous service growth and development.

• 한국정보시스템학회지:정보시스템연구
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• 제29권1호
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• pp.1-22
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• 2020

Purpose Along with increasing use of mobile devices, the sharing economy platform services, which generate profits by sharing products owned or labor, have been activated. A representative example of the sharing economy platform service is Airbnb, which connects providers having idle residential space with users. The results revealed that the cases of superhosts and professional companies had a positive and negative effect on user satisfaction, respectively. Based on signaling theory, this study drew the following implications: residential space providers should make an effort to meet the superhost conditions suggested by Airbnb, and offering residential spaces by individual suppliers rather than professional accommodation companies can more heighten user satisfaction. Design/methodology/approach Because sharing behavior is promoted through trust between interested parties, this study aimed to verify the effects of provider characteristics on user satisfaction in a sharing economy platform service. Specifically, it analyzed user satisfaction, according to host attributes (i.e., "superhost or not," gender, and "professional company or not") among the characteristics of Airbnb suppliers. Findings The results revealed that the cases of superhosts and professional companies had a positive and negative effect on user satisfaction, respectively. Based on these analyses results, this study drew the following implications: residential space providers should make an effort to meet the superhost conditions suggested by Airbnb, and offering residential spaces by individual suppliers rather than professional accommodation companies can more heighten user satisfaction.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 추계학술대회
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• pp.733-735
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• 2017

공유경제의 필요성이 높아짐에 따라 자동차 공유, 자전거 공유, 주택 공유, 도서 공유 등 공유를 기반으로 한 수많은 상용 플랫폼이 늘어나고 있다. 그리고 그 중, 무엇보다도 주거 문제를 겨냥한 공동 주택, 다른 경제 모델보다 가장 큰 성장을 보여주고 있다. 그러나 이러한 급속한 성장 속에서 공유경제에 대한 공평성과 상호 플랫폼상의 신뢰성 문제 등 몇몇 예기치 못한 문제점들이 드러났다. 하지만 현재 이 상황을 해결할 방법에 대하여 실제 나와 있는 사례들은 많지 않다. 따라서 본 논문에서는 현재의 쉐어하우스 플랫폼의 상기 서술한 바와 같은 기존 문제를 해결할 수 있는 몇 가지 방법을 논하고자 한다.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2004년도 춘계 학술발표대회 논문집
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• pp.302-303
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• 2004

• 한국전자통신학회논문지
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• 제16권6호
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• pp.1323-1328
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• 2021

본 논문에서는 이동에 어려움과 불편을 겪고 있는 교통 약자를 위한 전동차 공유 플랫폼을 제시한다. 제안된 교통 약자를 위한 전동차 공유 플랫폼은 현재 운용 중인 퍼스널 모빌리티 공유 플랫폼의 IOT 기술을 접목한 기능인 모바일 대여, 반납, 기능을 기본으로 포함하고, 교통 약자들이 처할 수 있는 다양한 사고의 위험으로부터 빠르게 대처할 수 있도록 안전 기능을 강화하였다. 교통 약자를 위한 전동차 공유 플랫폼은 GPS를 통해 운행자료가 실시간으로 서버에 저장되며, 사고의 사전 알람 및 호출 기능을 강화하여 신속한 SOS 처리가 되도록 하였으며, 사고 발생과 동시에 서버로부터 관리자 및 보호자들에게 연락을 취해 재빠른 상황대처를 할 수 있도록 하여 교통 약자들이 안전하고 편안하게 운행할 수 있다.

• 한국멀티미디어학회논문지
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• 제23권3호
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• pp.499-507
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• 2020

This paper is one of the types of 'sharing economy', a social economic model that borrows and shares things, spaces, and services from the development of the 4th Industrial Revolution. Through sharing of empty space and time in the city, I would like to suggest a way to reduce the closure of small business owners in order to create jobs, which is one of urban problems in the community. We also build a platform that utilizes the free time and space of buildings through space sharing, one of the types of sharing economy, and provides education programs for start-up education, promotion, marketing, and consulting by matching small business owners with building owners. Therefore, in this paper, by sharing the space and time, the landlord and the small business can share the profits of the small business by reducing the business owner's closure and the job creation plan. Coaching urban regeneration was proposed.

• Journal of Information Processing Systems
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• 제19권5호
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• pp.590-601
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• 2023

University books are an important information resource. University book resources can be shared not only in the traditional paper form, but also electronic form under the background of the Internet. In order to better manage the sharing of electronic book resources in universities, this study put forward three resource sharing strategies: centralized sharing strategy, distributed sharing strategy, and centralized-distributed sharing strategy by analyzing the combined development of books and the Internet as well as the significance and development of book resource sharing. The centralized sharing strategy, however simple, was difficult to handle large traffic; while the resource nodes were independent and self-consistent, the distributed sharing strategy was not easy to find and had a high repetition rate. Combining the advantages of both strategies, the centralized-distributed sharing strategy was more suitable for the heterogeneous form of university book sharing. Finally, a teaching resources sharing platform for university libraries was designed based on the strategy of centralized and distributed sharing, and three interfaces including platform login, resource search, and resource release were displayed. The results of the simulated comparison experiment showed that centralized and distributed sharing strategies had limitations in resource searching and had low efficiencies; the efficiency of the centralized strategy reduced with an increase in search subjects; however, the centralized-distributed sharing strategy was able to search more resources efficiently and main stability.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.25-38
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• 2022

Research data means data used or created in the course of research or experiments. Research data is very important for validation of research conducted and for use in future research and projects. Recently, convergence research between various fields and international cooperation has been continuously done due to the explosive increase of research data and the increase in the complexity of science and technology. Developed countries are actively promoting open science policies that share research results and processes to create new knowledge and values through convergence research. Communities to promote the sharing and utilization of research data such as RDA (Research Data Alliance) and COAR (Confederation of Open Access Repositories) are active, and various platforms for managing and sharing research data are being developed and used. OpenAIRE (Open Access Infrastructure for Research In Europe), a research data platform in Europe, ARDC (Australian Research Data Commons) in Australia, and IRDB (Institutional Repositories DataBase) in Japan provide research data or research data related services. Korea has been establishing and implementing a research data sharing and utilization strategy to promote the sharing and utilization of research data at the national level, led by the central government. Based on this strategy, KISTI has been building a Korean research data platform (DataON) since 2018, and has been providing research data sharing and utilization services to users since January 2020. This paper reviews the characteristics of DataON and how it is used for research by showing its applications.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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• pp.359-360
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• 2019

This paper proposes partial sharing and trading of digital content as a method of sharing blockchain idurium-based digital content. The platform has three characteristics and aims to improve the existing digital content sales platform. First, it increases the efficiency of sharing and trading through partial sharing and trading systems of digital content. Second, it will be built in the form of blockchain idurium-based smart contracts to ensure the accuracy of transactions. Third, it is possible to analyze the form factor of the comments by improving the grading system.

• Journal of Korea Trade
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• 제23권8호
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• pp.73-88
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• 2019

Purpose - This paper finds the repurchase intentions of customers in a sharing economy via Airbnb and Uber, which are classic sharing-economy service businesses. Design/methodology - This paper analyzes sharing economy effects using variables in a structural equation model. Findings - We verified that values have a significant effect on the trust in a platform. We also verified that the effects that value propositions have on repurchase intention are significant. Research Limitations/Implications - First, there may be some distinction between men and women with regard to divided trust. Second, if commitment is divided into commitment to the host and commitment to the platform, as is the case for trust, the results will not be as expected. Third, if results could be categorized by nationality after gathering more samples, each nationality might have different opinions about these factors. Finally, the sharing economy can be identified and analyzed for various industries, such as space, transportation, and service. At this point, it is inconvenient to not have more implications. Originality/value - This study focuses on the repurchase intentions of customers. Unlike earlier studies, it is meaningful that trust is divided between the host and the platform, and that it can be analyzed. It is also important to establish the relationship between trust and commitment, and the relationship toward repurchasing in the shared-economy.