• Title/Summary/Keyword: Research Data Sharing

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Antecedents of Consumer Participation in Sharing Economy at Distribution Markets

  • CAI, Yunwei;CHOI, Nak-Hwan
    • Journal of Distribution Science
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    • v.20 no.9
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    • pp.127-139
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    • 2022
  • Purpose: As sharing economy is becoming increasingly relevant to people's lives, we want to understand why people participate in the sharing economy. We propose and validate three factors that are likely to influence consumers' choice of participating in the sharing economy at distribution market. Also, we found antecedents that affect these variables. These antecedents include appointment and return convenient, extended operating time, variety-seeking need, usage irregularity, other's clean usage, and feeling of membership between users. Research design, data, and methodology: This research collected 341 questionnaire data from participants in China. These participants were asked about the usage of DiDi, the most popular shareware in China. The data analysis and hypothesis testing were conducted using SPSS and Amos. Results: Usage convenience, usefulness of short-term usage, and trust in other users were found to have a positive impact on consumers' intention to participate in the sharing economy. In addition, we found that all the antecedents affect these variables positively. Conclusions: This research provides new driving factors for consumer participation in the sharing economy. Moreover, these findings will help managers develop marketing strategies for inducing the consumers to participate in the sharing economy.

Research SW Development Integrated Framework to Support AI Model Research Environments (인공지능 모델 연구 환경 지원을 위한 연구소프트웨어 개발 통합 프레임워크)

  • Minhee Cho;Dasol Kim;Sa-kwang Song;Sang-Baek Lee;Mikyoung Lee;Hyung-Jun Yim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.97-99
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    • 2023
  • 소프트웨어를 개발하거나 실행하는 환경은 매우 다양하다. 최근에 혁신을 이끌고 있는 인공지능 모델은 오픈소스 프로젝트룰 통해 공개되는 코드나 라이브러리를 활용하여 구현하는 경우가 많다. 하지만 실행을 위한 환경 설치 과정이 쉽지 않고, 데이터 혹은 기학습된 모델 사이즈가 대용량일 경우에는 로컬 컴퓨터에서 실행하는 것이 불가능한 경우도 발생하고, 동료와 작업을 공유하거나 수동 배포의 어려움 등 다양한 문제에 직면한다. 이러한 문제를 해결하기 위하여, 소프트웨어가 유연하게 동작할 수 있도록 효율적인 리소스를 관리할 수 있는 컨테이너 기술을 많이 활용한다. 이 기술을 활용하는 이유는 AI 모델이 시스템에 관계없이 정확히 동일하게 재현될 수 있도록 하기 위함이다. 본 연구에서는 인공지능 모델 개발과 관련하여 코드가 실행되는 환경을 편리하게 관리하기 위하여 소프트웨어를 컨테이너화하여 배포할 수 있는 기능을 제공하는 연구소프트웨어 개발 통합 프레임워크를 제안한다.

Role of Social Capital and Consumer Citizenship on Sharing Economy Participation on O2O Retail Platforms

  • YOON, Sung-Joon
    • Journal of Distribution Science
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    • v.19 no.10
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    • pp.55-64
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    • 2021
  • Purpose: This study empirically validates a research framework encompassing predictors hypothesized to affect the participation in sharing economy on O2O retail platforms. Research design, data, and methodology: The study examines the role of consumers' social capital and consumer citizenship as a net promoter of retail sales increase of sharing economy products. Using a convenience sampling method, this study used a questionnaire survey method to collect data from 400 adult consumers with previous experience of sharing economy who reside in the metropolitan areas of Seoul and Kyonggi Province, Korea. This study applied structural equation modeling to verify the structural relationships proposed as research hypotheses. Results: The study found a significant impact of social capital on sharing economy participation and the impact of consumer citizenship on sharing economy participation in retail settings. This study also confirmed that social identity and corporate image mediated the relationship between social capital (and citizenship) and sharing economy participation. Conclusions: The study results are expected to contribute to further understanding of the sharing economy's key success factors. The study results offer significant strategic implications for retail platform operators and individual retail operators of sharing economy.

Bottleneck and Success Factors of Vehicle Data Sharing and Suggestions for Technology Development (자동차 데이터 공유의 장애/성공 요인 및 기술개발 과제)

  • Kim, J.S.
    • Electronics and Telecommunications Trends
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    • v.37 no.4
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    • pp.11-18
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    • 2022
  • Sharing vehicle data among the companies within a car ecosystem can improve driving experience, increase driver comfort, contribute to social goals such as improving road safety and lowering fuel consumption. Furthermore, by participating in the ecosystem, companies can secure long-term and sustainable new revenue-generating opportunities. In this paper, we will examine the bottleneck and success factors of data sharing, as well as the technological solutions that urgently require development for car data sharing.

Research Data Management of Science and Technology Research Institutes in Korea (국내 과학기술분야 연구기관의 과학데이터 관리 현황)

  • Choi, Myung-Seok;Lee, Seung-Bock;Lee, Sanghwan
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.117-126
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    • 2017
  • As the recent research environment and research paradigm have become data-driven, Open Science, based on openness and sharing of public research results, has emerged as a global agenda for scientific research. National policies for sharing and re-use of research data from publicly-funded research are in effect globally. Therefore, in Korea, it is urgent to build policies and infrastructure for sharing and re-use of research data. In this paper, we investigate the current status of research data management of science and technology research institutes in Korea. We conducted in-depth interviews with researchers from 22 research institutes belonging to the National Research Council of Science & Technology, and 20 universities in Korea, asking about terms of creation management utilization of research data, willingness to share data, and needs for sharing and re-use of research data. From these interviews, we drew implications for open research data and future directions.

Strategies for Improving the Collection and Use of Research Data in the Humanities (인문학 분야 연구데이터의 수집 및 활용성 증진을 위한 전략 연구 - 기초학문자료센터를 중심으로 -)

  • Shim, Wonsik;Ahn, Hye-yeon;Byun, Jeayeon
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.3
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    • pp.155-183
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    • 2015
  • The rapid growth of information technologies and data networks has increased the volume of data generated from scholarly research and the possibilities of re-using and sharing such data. However, there is a serious problem of management and sharing of research data due to the lack of facilitating policies and supporting infrastructure. In particular, few data repositories exist that support systematic collection and sharing of research data in the humanities. In this regard, the Korea Research Memory (KRM) established by the Korea Research Foundation is a rare exception. The purpose of this research is to present specific processes and strategies that can facilitate the data collection, reuse and preservation through the KRM using task analysis and source document gathering as main focal points. In addition, in order for the effective collection and sharing of research data, the following recommendations are proposed: 1) the need for the adoption of data management plan related policies that govern the collection and sharing of research data generated from publicly funded research projects, 2) the need for training and support services for individual researchers and research institutes, 3) the need for training data specialists, and 4) the citation scheme and structure designed for research data.

The Effect of Knowledge Sharing within and Outside the Team on the R&D Performance : The Moderating Role of R&D Stages (팀 내외 지식공유가 R&D 성과에 미치는 영향 : 연구개발단계의 조절효과를 중심으로)

  • Hwang, Ho Min;Lee, Sang Kon;Park, Jong Tae
    • Journal of Information Technology Services
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    • v.17 no.4
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    • pp.191-208
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    • 2018
  • This study explores the role of knowledge sharing activities among team members and performance in R&D setting. Knowledge sharing activities are classified into two : Knowledge sharing activity within/outside team. And the relationships between the knowledge activities and R&D performance are also examined according to three R&D stages : basic, applied, and developmental research. A empirical study was conducted at a research institute of large company that leads the advanced research and development of the domestic chemical industry. Data was collected 292 copies out of 500 copies (Response rate 58.4%). The result indicated that knowledge sharing within and outside the team has a positive effect on R&D Performance. In particular, knowledge sharing within the team has a greater effect on R&D outcomes in basic research stage. Knowledge sharing outside the team has a greater effect on R&D outcomes in the development research stage. In the R&D organization, it is important that members of the team are well-connected and understanding each other, but they should encourage positive relationships with external members of the team. Depending on the R&D field of the team, the basic research field should concentrate more on knowledge sharing within the team, while the development research field should focus more on knowledge sharing outside the team.

Necessity of Marketing and Public Policy for Better Establishment of the Sharing Economy in a Society

  • Yooncheong CHO
    • The Journal of Industrial Distribution & Business
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    • v.14 no.4
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    • pp.11-21
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    • 2023
  • Purpose: The purpose of this study is to explore how to apply marketing and foster public policy for better establishment of the sharing economy in a society. In particular, this study investigates the following: i) how citizens understand definition and scope of the sharing economy; ii) how citizens actually use and perceive sustainability of the sharing accommodation? iii) how factors such as policy preparation for marketing to the public, policy preparation for regulations, and perceived sustainable growth affect overall attitude to accommodation sharing?; iv) how does overall attitude affect satisfaction and intention to use? Research design, data and methodology: This study conducted an online survey with the assistance of a well-known research firm and applied secondary data. This study applied t-test, factor, ANOVA, and regression analysis for analysis. Results: The results found that policy preparation for marketing to the public, policy preparation for regulation, and perceived sustainable growth of the accommodation sharing significantly affect overall attitude toward accommodation sharing. Conclusions: The results provide managerial and policy implications. The sharing economy will be established in a society with better understanding of the meanings and scopes by citizens. Better policies should be prepared and promoted to the public to increase awareness for sustainable growth of accommodation sharing.

A Study on Use Case of Research Data Sharing in Biotechnology (생명공학분야의 연구데이터 공유 사례에 관한 연구)

  • Park, Miyoung;Ahn, Inja;Kim, Junmo
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.1
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    • pp.393-416
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    • 2018
  • In this study, major steps of the research data management plan were derived through the research data management guidelines of major countries (NISO DMP in the US, UK DMP in UK archives, etc.). The results obtained are support for research data policy & planning, research data technical support, research data sharing support, research data legal mechanism support, and research data education support. In this study, we analyzed seven cases of data sharing among 7 domestic and foreign biotechnology. Shared use case countries are limited to the United Kingdom and the United States, which play a leading role in the management of research data. In Korea, shared cases were analyzed for the Korean Bio Information Center and related systems, which is a research and performance management and distribution agency designated by the Ministry of Science and Technology.

Investigating Teachers' Perception of the Educational Resource Sharing System in Korea: A Qualitative Research

  • Sewon JOO;Innwoo PARK
    • Educational Technology International
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    • v.24 no.2
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    • pp.115-141
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    • 2023
  • The aim of this research is to understand the perceptions of primary and secondary teachers regarding educational resource sharing systems(ERS) by using a qualitative approach. This study conducted Focus Group Interview(FGI) with 20 primary and secondary school teachers. Interview data were analyzed through inductive content analysis method. The results are as follows. First, teachers placed significant emphasis on high-quality, convenient functions, and reward system for sharing resources. Specifically, teachers identified the necessity for a diverse array of materials, systematic categorization of these resources, and the provision of monetary compensation as essential components. Second, the study participants advocated strategies for revitalizing ERS including enhancing accessibility, constructing user-friendly features, increasing awareness, and establishing a reward system to incentivize the resource sharing. In particular, teachers proposed strategies such as developing mobile-based services and AIdriven data recommendation system. These results provide actionable insights for stakeholders engaged in the design, implementation, and evaluation of resource sharing platforms.