• Journal of Korean Institute of Industrial Engineers
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• 제39권3호
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• pp.156-162
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• 2013

Social manufacturing architecture is based on information delivery through social media and SNS, PLM and social platform, crowd source and knowledge base on whole phase of product life cycle. Although advanced social manufacturing issues are rising globally, its technology emerging into domestic industry is likely to be slow. We focused to review technological changes and R&D trend, patent issues, and then suggest assignments and advices to be practiced for social manufacturing modeling.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• 제5권4호
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• pp.180-185
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• 2012

Social Learning is a new study model of future knowledge information society. In different existing study, it concentrate on relationship with others and design to connect studying with social effect as a study platform using social media such as Blog, SNS, UCC, Microblog. In my paper, social learning characteristics are described to understand social learning, that is 3 keyword such as context, connectivity, collaboration. Also we investigate social media characteristics and social media how to be used social learning. Also social learning system building method using facebook is presented.

• 재활복지
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• 제17권4호
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• pp.27-51
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• 2013

The present study aims to examine the assistive technology service operation system[ATSOS] of the support system for independent living[SSIL] which was introduced after the enactment of the Law of Assisting the Independence for Persons with Disabilities[LAIPD] and to discuss its implications in the development of the assistive technology service delivery system[ATSDS] and the related measures for promoting the assistive technology industry in Korea. For this purpose, the literature review and the field study were employed. The research findings showed that the Japanese SSIL, which adopted the user payment system as measures to establish the sustainable ATSOS, arranged the consumer participation structure through substantial cooperation among related government departments. The result of this study indicates the need to secure the consumer's right to choose in a comprehensive utilization process of assistive technology services as for the establishment of the ATSDS in Korea. Furthermore, the arrangements for practical cooperative strategies among related government departments are encouraged.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.3798-3814
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• 2022

Social recommendation algorithm can alleviate data sparsity and cold start problems in recommendation system by integrated social information. Among them, matrix-based decomposition algorithms are the most widely used and studied. Such algorithms use dot product operations to calculate the similarity between users and items, which ignores user's potential preferences, reduces algorithms' recommendation accuracy. This deficiency can be avoided by a metric learning-based social recommendation algorithm, which learns the distance between user embedding vectors and item embedding vectors instead of vector dot-product operations. However, previous works provide no theoretical explanation for its plausibility. Moreover, most works focus on the indirect impact of social friends on user's preferences, ignoring the direct impact on user's rating preferences, which is the influence of user rating preferences. To solve these problems, this study proposes a user bias drift social recommendation algorithm based on metric learning (BDML). The main work of this paper is as follows: (1) the process of introducing metric learning in the social recommendation scenario is introduced in the form of equations, and explained the reason why metric learning can replace the click operation; (2) a new user bias is constructed to simultaneously model the impact of social relationships on user's ratings preferences and user's preferences; Experimental results on two datasets show that the BDML algorithm proposed in this study has better recommendation accuracy compared with other comparison algorithms, and will be able to guarantee the recommendation effect in a more sparse dataset.

• International Journal of Advanced Culture Technology
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• 제7권1호
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• pp.128-132
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• 2019

This paper is to explore the success factors of the online public grievance redressal system in the Nepal. It empirically tests the conceptual path model developed by DeLone and McLean which consists of six social perception variables with regard to citizen's intention to use the system. The estimates from 577 respondents support all the 13 hypotheses generated from D&L model. People's attitude and social norms are the two most important factors on the continuous usage of the system. It is suggested that the social factors are as much important as technological aspects when it comes to the e-government implementation. It is also suggested that the government should pay more attention to human factors in upgrading the design and development of e-grievance system in the foreseeable future.

• Asia pacific journal of information systems
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• 제12권4호
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• pp.55-75
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• 2002

The purposes of this study are in threefold; to explain the interactivity in web site, to extend the Technology Acceptance Model(TAM) in the WWW context, and to examine its relationship with the existing TAM components. We proposed that the WWW is not just web systems but interactive spaces for virtual community. Web interactivity is represented by the two constructs: system interactivity and social interactivity. We extended and empirically examined the TAM for the web context. An individual's attitude toward the use of the web site is significantly affected by the individual's perception about ease of use, usefulness, and system interactivity. At the same time, behavioral intentions to use the web site is highly related to the social interactivity. The results showed that the system interactivity and social interactivity of a web site are important factors in affecting the user's beliefs and behavior intention of such a web site, So web page providers not only have to make the web site useful and easy to use, but also need to design an interactive web page by putting both systemic aspects and social aspects.

• Journal of Science and Technology Studies
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• 제19권2호
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• pp.85-116
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• 2019

This research examines the characteristics of the newly emerging 'transformative innovation policy' and discusses the current status and issues of the Korean social problem solving R & D policy. Transformative innovation policy is a new paradigm that aims to transform socio-technical systems to address societal challenges. In this study, we analyzed 'the policy plan for solving social problems based on science and technology'. In the "Policy Plan", efforts are being made to establish new direction of science and technological innovation activities such as emphasis on social values, network formation of innovation actors, and spreading of social impact. But in this "Policy Plan", the perspective of transformative innovation policy is weakly reflected. The Policy Plan refers to system improvement that adds new elements to existing system, but it is not discussing system transformation. In order to develop social problem solving R & D policy from the viewpoint of the transformative innovation policy, it is necessary to construct the innovation platform deliberating vision and prospect for the socio-technical transformation.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.363-372
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• 2022

The purpose of this study is to investigate COVID-19's impact on firm survival, as well as the management accounting system's role in adjusting operation efficiency for business survival. Two sets of data comprising small enterprises in the service sector were used. The first business group serves customers who have changed their lifestyle to a new normal. The second business group serves customers who are affected by social distancing measures. The data was collected based on an in-depth interview method. The data was then evaluated using content analysis and analytic comparison. The results show that the COVID-19 situation positively impacts the business survival of the service businesses group that serves customers who have changed lifestyles. However, COVID-19 has a negative effect on the survival of service business groups that serve customers affected by social distancing measures. In addition, the management accounting used during COVID-19, small enterprises have analyzed the operating environment and used the information stored in the database to determine goals for the operation. This study provides comprehensive economic effects and the utilization of management accounting systems. The accounting systems helped to decide to adjust the operation process during the quick changing of the environment of the small enterprise in the service sector.

• Educational Technology International
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• 제16권1호
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• pp.1-30
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• 2015

The purpose of this research is to propose a novel social LMS developed for group collaborative learning with a think-aloud tool integrated for sharing cognitive processes in order to improve group collaborative learning performance. In this developmental research, the system was designed with three critical elements: the think-aloud element supports learners through shared cognition, the social network element improves the quality of collaborative learning by forming a structured social environment, and the learning management element provides a understructure for collaborative learning for student groups. Moreover, the three critical elements were combined in an educational context and applied in three directions.

• Journal of information and communication convergence engineering
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• 제20권2호
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• pp.131-136
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• 2022

The recommendation system applied in museums has been widely adopted owing to its advanced technology. However, it is unclear which recommendation is suitable for indoor museum guidance. This study evaluated a recommender system based on social-filtering and statistical methods applied to actual museum databases. We evaluated both methods using two different datasets. Statistical methods use collective data, whereas social methods use individual data. The results showed that both methods could provide significantly better results than random methods. However, we found that the trip time length and the dataset's sizes affect the performance of both methods. The social-filtering method provides better performance for long trip periods and includes more complex calculations, whereas the statistical method provides better performance for short trip periods. The critical points are defined to indicate the trip time for which the performances of both methods are equal.