• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.1028-1046
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• 2022

Genome-wide association studies (GWAS) aim to find the significant genetic variants for common complex disease. However, genotype data has privacy information such as disease status and identity, which make data sharing and research difficult. Differential privacy is widely used in the privacy protection of data sharing. The current differential privacy approach in GWAS pays no attention to raw data but to statistical data, and doesn't achieve equilibrium between utility and privacy, so that data sharing is hindered and it hampers the development of genomics. To share data more securely, we propose a differential privacy preserving approach of data sharing for GWAS, and achieve the equilibrium between privacy and data utility. Firstly, a reasonable disturbance interval for the genotype is calculated based on the expected utility. Secondly, based on the interval, we get the Nash equilibrium point between utility and privacy. Finally, based on the equilibrium point, the original genotype matrix is perturbed with differential privacy, and the corresponding random genotype matrix is obtained. We theoretically and experimentally show that the method satisfies expected privacy protection and utility. This method provides engineering guidance for protecting GWAS data privacy.

• The Journal of Industrial Distribution & Business
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• v.10 no.1
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• pp.39-49
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• 2019

Purpose - Previous studies examined effects of sharing economy in the fields such as accommodation and automobile sector, while there are lack of researches in the field of skill-sharing economy. By classifying skill-sharing into general and special skill-sharing, this study explored effects of variables such as transaction utility, social utility, sustainability utility, emotional utility, economic utility, and trust utility, on attitudes, intention, satisfaction, and loyalty of demand (i.e., customers) and supply (i.e., providers) sides, potential, and actual customers. Research design, data, and methodology - Data were collected via both online and offline surveys. This study applied factor analysis and multiple regression analysis for findings. Results - Results show that utilities for general suppliers' skill-sharing are significant than other cases. Among utilities, this study found that trust utility shows significant for the cases of special customers', general suppliers' and special suppliers' potential skill-sharing. The results implies that trust is crucial in the transaction of the sharing economy. Conclusions - Enhanced managerial systems help resolve issues on the sharing economy. This study provides implications what are positive effects of skill-sharing economy and recommends proper establishment of the sharing economy.

• Human Ecology Research
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• v.56 no.1
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• pp.99-108
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• 2018

This study develops a scale to measure the practice of consideration and sharing by adolescents. This data as an object of high school students in regards to items generated from the content validity test and preliminary study stage based on the consideration scale, literature review and expert for elementary school students on a 5-point Likert scale. The factor analysis of the collected data using SPSS 20.0 2 indicated the final fators. The three fanal factors designated by the measuring items are: 'practice of consideration and sharing', 'recognition of consideration and sharing', and 'self-recognition'. As a result of analyzing students' individual variables, this study found that family relationship satisfaction and school life satisfaction had positive relationship in self-recognition, recognition of consideration and sharing, practice of consideration and sharing, and total personality score. The measurement tools developed in this study, are expected to act as valid tools to develop a program that can increase the practice of consideration and sharing activities.

• Journal of KIBIM
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• v.12 no.1
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• pp.72-80
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• 2022

It has become mandatory to designs by BIM in construction. It is urgent to make accurate decisions through the linkage between complex and various types of data in projects. In particular, block-chain based data sharing process (using BIM files, general construction submitted files) is essential to support reliable decision making in complex data flood systems. Prior to developing data sharing system based on block-chain, in this paper, a data linkage method is proposed so that practitioners can simultaneously utilize existing construction information and BIM data. Examples are shown based on the construction classification system and file expression, and incentive strategies are explored through a survey so that heterogeneous information can be used at the same time in overall projects.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.201-210
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• 2020

The study aims to investigate determinants of performance indicator and perceptions of existing and potential customers in accommodation sharing. This study uses data of Airbnb in Busan and Jeju from January 1 to December 31 in 2018, provided by AirDNA. The total number of listed accommodation sharing were 5,109 accommodations in Busan and 11,502 accommodations in Jeju. More than 90 property types of registered accommodation are subcategorized and re-classified in this study. Study 1 examined current usage and effects of factors on performance indicator in tourism destinations by applying Airbnb data. Study 2 investigated effects of perceived factors on satisfaction, intention to use, loyalty, and tourism competitiveness by applying online survey data. This study applies statistical analyses such as factor and regression analyses, ANOVA, t-test, and MANOVA. Results of Study 1 showed that usage and effects of accommodation sharing differ from regulation that is related to sharing types. Effects also differ based on travel destinations. Results of Study 2 showed how customers perceive accommodation sharing differ from pure meaning of sharing. The results of Study 1 and 2 found significant effects of price and service factors on performance indicator and customer satisfaction. The findings of Study 2 showed significant effects on loyalty and tourism competitiveness.

• 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.

• Asian Journal of Business Environment
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• v.3 no.1
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• pp.29-35
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• 2013

Purpose - objective of this research is to investigate individual, organizational and environmental factors influence tacit knowledge sharing among healthcare professionals. The transmission of Tacit Knowledge is crucial for organizations to ensure that TK will be passed throughout organization, rather than stored in single employee. Research design, data, and methodology - In this study investigate organizational, individual and environmental factors that influence on TK sharing. To test hypothesizes, the survey method was chosen. Sample size was 100 but 74% of questioners returned. Results - The main findings of this research are related to influence of personal, social cultural and behavioral factors on tacit knowledge sharing. According to extracted data all factors have influence on tacit knowledge sharing except Emotional stability that was found to be negatively related to tacit knowledge sharing. That may means anxiety and stress level of workplace applies negative enhance on tacit knowledge sharing. And finally results show that social environment, team oriented culture and organizational commitment have strongest influences on tacit knowledge sharing. Conclusion - the findings of this study shows that personal, social cultural and behavioral factors influence on tacit knowledge sharing. And also indicates that, social and organizational factors enhance strongly on tacit knowledge sharing.

• The Korean Journal of Health Service Management
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• v.7 no.4
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• pp.233-241
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• 2013

The purpose of this study is to investigate factors affecting workers' knowledge sharing on knowledge sharing and innovation behavior in general hospitals. This study is based on factors of knowledge sharing such as incentives, reciprocal benefits, behavioral control, and subjective norm, CEO's support, rewards system, IT system, and trust. Data were assessed using 148 workers who work in 3 hospitals in Seoul, Kyunggi, Chunkcheong-do. Data were collected with self-administered questionnaires from April 1 to 31 in 2013 and analyzed SPSS 18 and SEM(structural equation modeling). The results of the study were as follows. First, knowledge sharing intention as well as innovation behavior was statistically significant in behavioral control and IT system. Second, knowledge sharing intention turned out to be positive effect for innovation behavior. This study identified a couple of factors affecting workers' knowledge sharing on knowledge sharing intention and innovation behavior. The the implications of these factors are discussed and areas for developing hospital's knowledge management strategies are fostered and knowledge sharing intention and innovation behavior.

• Journal of Communications and Networks
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• v.12 no.4
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• pp.382-394
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• 2010

Cross-domain event information sharing is a topic of great interest in the area of event based network management. In this work we use data sets which represent actual attacks in the operational Internet. We analyze the data sets to understand the dynamics of the attacks and then go onto show the effectiveness of sharing incident related information to contain these attacks. We describe universal data acquisition system for event based management (UniDAS), a novel system for secure and automated cross-domain event information sharing. The system uses a generic, structured data format based on a standardized incident object description and exchange format (IODEF). IODEF is an XML-based extensible data format for security incident information exchange. We propose a simple and effective security model for IODEF and apply it to the secure and automated generic event information sharing system UniDAS. We present the system we have developed and evaluate its effectiveness.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.100-102
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• 2023

최근 오픈 사이언스 문화가 확산됨에 따라 오픈 데이터, 오픈 소스 소프트웨어와 같은 공개된 리소스들을 효율적으로 공유 및 활용하기 위한 방법이 주목을 받고 있다. 본 논문에서는 연구 소프트웨어의 재현성을 향상시키기 위한 국가연구데이터커먼즈(KRDC)를 소개하고 다중 KRDC 클러스터 간 워크플로우 연계 방안을 제안한다. 국가연구데이터커먼즈는 연구 소프트웨어와 분석 환경인 인프라를 결합하여 함께 제공하는 서비스로, 멀티 노드 쿠버네티스(kubernetes) 클러스터를 기반으로 동작한다. 따라서, 서로 다른 KRDC 프레임워크에 존재하는 리소스들을 하나의 워크플로우로 연계하는 것은 복잡한 사용자 인증/인가 문제, 보안 상의 문제를 고려하여야 한다. 본 논문에서는 프록시(proxy) 앱을 사용하는 워크플로우 연계 기능을 제안하고, 이를 지원하기 위한 통합 인증, 인가 체계와 연계 방안을 구현한다. 제안하는 방법을 두 개의 KRDC 프레임워크를 대상으로 적용하여 제안 워크플로우 연계 방법의 유효함을 확인한다. 본 논문에서 제안하는 워크플로우 연계 방법과 시나리오는 실제 멀티 클러스터 연계 방안을 구현한 사례로, KRDC 프레임워크 뿐만 아니라 다양한 쿠버네티스 기반 리소스 연계에 활용할 수 있는 우수한 결과로 사료된다.