• Title/Summary/Keyword: Exchange Benefits

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Feasibility Study for the Stable Operation of Cheju Network (제주계통의 안정적 운전에 대한 타당성 연구)

  • Kim, Chan-Ki;Chang, Jae-Won;Moon, Bong-Soo;Shim, Jeong-Woon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.13 no.5
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    • pp.344-351
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    • 2008
  • The benefits of utilizing energy exchange between the main land and Cheju island in Korea make it interesting to establish new HVDC sea cable interconnections. A total power of 350 MW or more can then be exchanged through the HVDC links including the existing Cheju HVDC #1 interconnection. A feasibility study base on economical benefits has been carried out. Especially the comparison of economy benefit between thermal power plant, LNG power plant and HVDC system shows that HVDC system is the only solution in Cheju island. Also, this paper shows that additiona 1 HVDC system help to enhance the stability of power system.

A Study on Motivation for Volunteering and Activation for Family Volunteering of Adolescents (청소년의 자원봉사 동기 요인과 가족자원봉사 활성화 연구)

  • Kim, Sung-Hee;Kim, Yoo-Kyun
    • Journal of Family Resource Management and Policy Review
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    • v.14 no.4
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    • pp.21-38
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    • 2010
  • The purpose of this study is to clarify the motivation of adolescent volunteers based on exchange theory by analyzing benefits and costs. The activation for family-volunteering is explored to decrease the cost of volunteering. Data were collected from 463 adolescents and analyzed using SPSS 16.0 program. The statistics used for analysis were the factor analysis, cluster analysis, T-Test and ANOVA, Findings indicated that a 75.2% of adolescents participated in voluntary activities during last one year, but a 90.3% of subjects was not taken part in family volunteering. Family volunteering has not been activated but adolescents hoped high to participate with family. Adolescents evaluated high the cost of family time lost because of volunteering. The clusters evaluating the costs of volunteering low participated more than other clusters. From these results, it was proposed that costs of volunteering such as conflicts with members of family or supervisors should be lessened than the benefits of it emphasized. The family volunteering is suggested to decrease the cost of family time loss.

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Information Networking and its Application in the Digital Era with Illustration from the University of Port Harcourt Library

  • Umeozor, Susan Nnadozie
    • International Journal of Knowledge Content Development & Technology
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    • v.9 no.2
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    • pp.33-44
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    • 2019
  • This paper discussed the factors that necessitated information networking, types of networks, benefits of information networking, library information networking and the University of Port 0Harcourt library network initiatives. Information networking is a process of communication, exchange of ideas, resource sharing and collaboration between individuals, organizations, institutions and libraries and it is facilitated by ICTs and the internet for improved accessibility. It has been brought about by information explosion, rapid advancement in information communication technologies, inadequate funding and increased demand for quality information. Networks can be classified into local, national, regional, and international networks and are formed to serve different categories of user communities. Benefits of information networking include resource sharing, on-line conferences and participation in programmes at distant centers, collaboration among scholars in different countries. Communication flow through the internet, social media, and electronic mail. Library information networking started with the interlibrary loan which has metamorphosed into library consortia in which groups of libraries partner to coordinate activities, share resources and combine expertise. The University of Port Harcourt Library network initiatives started with an e-granary (a CD ROM) and the establishment of a local area network. The library subscribes to more than 10 electronic databases. Information networking has greatly improved the sharing of resources in acquisition and dissemination of information resources since no single institution can acquire the overwhelming number of information resources in their various formats.

The Community Attachment and Attitudes toward Baekdudaegan Tourism Development: An Application of Covariance Structural Analysis (백두대간 관광개발이 지역애착과 관광태도에 미치는 효과 분석: 공변량구조모형의 적용)

  • Joo, Sung-Hyun;Park, Sang-Jun;Han, Sang-Yoel
    • Journal of Korean Society of Forest Science
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    • v.96 no.6
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    • pp.625-632
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    • 2007
  • The purpose of this study was to analyze the conceptional structure of residents' perception among tourism development impacts (economic benefits, social and environmental impact), community attachment and attitudes towards the effects of Baekdudaegan tourism development. This paper was adopted LISREL (linear structural relationships) approach, covariance structural equation model, to provided some insights on tourism development. Data of 356 were collected from Youngu and Mungyeong cities surrounding Baekdudaegan in Gyeongsangbuk-do. The results indicate that perceived economic benefits are rather greater impacts on attitudes than perceived social and environmental ones directly and indirectly. Also, perceived social impacts influence community attachment, however, perceived economic benefits and environmental impacts do not influence community attachment directly. Finally results reveal that the attitudes for supporting tourism development were found positively influenced by the identity of community attachment. Differently social exchange theory, the results suggested that residents' attitudes towards Baekdudaegan tourism development perceived positive strongly even a non related tourism resident.

Information Dimensions in Library and Information Science Doctoral Mentoring: Qualitative Findings

  • Lee, Jongwook
    • International Journal of Knowledge Content Development & Technology
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    • v.8 no.3
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    • pp.5-28
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    • 2018
  • Socialization of doctoral students refers to the process through which they acquire various types of information about their work, department, university, and discipline for their future careers. This study aims to investigate information behaviors, with emphasis on identifying types of information exchanged in mentoring between faculty advisors and their doctoral students in library and information science (LIS). As a first step to developing a content framework for LIS doctoral mentoring, the author interviewed ten LIS doctoral students from nine U.S. universities. Based on data from these interviews, the author identified sixteen types of information exchanged: language, history, coursework, research, skills, teaching, networking, structure, politics, goals, strategies, values, norms/tradition, rules/policies, benefits, and personal life. In comparison with a content framework used, four dimensions were newly added. In addition to the identification of content dimensions, the author observed four meaningful contextual levels to which the content types can be applied: work, department/school, university, and discipline. The qualitative data also showed that interpersonal factors of advisees/advisors and contextual factors might relate to information exchange in doctoral mentoring. In a following paper, the author will present the results of a follow-up survey that tests and generalizes the findings of this study.

A Hierarchical Context Dissemination Framework for Managing Federated Clouds

  • Famaey, Jeroen;Latre, Steven;Strassner, John;Turck, Filip De
    • Journal of Communications and Networks
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    • v.13 no.6
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    • pp.567-582
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    • 2011
  • The growing popularity of the Internet has caused the size and complexity of communications and computing systems to greatly increase in recent years. To alleviate this increased management complexity, novel autonomic management architectures have emerged, in which many automated components manage the network's resources in a distributed fashion. However, in order to achieve effective collaboration between these management components, they need to be able to efficiently exchange information in a timely fashion. In this article, we propose a context dissemination framework that addresses this problem. To achieve scalability, the management components are structured in a hierarchy. The framework facilitates the aggregation and translation of information as it is propagated through the hierarchy. Additionally, by way of semantics, context is filtered based on meaning and is disseminated intelligently according to dynamically changing context requirements. This significantly reduces the exchange of superfluous context and thus further increases scalability. The large size of modern federated cloud computing infrastructures, makes the presented context dissemination framework ideally suited to improve their management efficiency and scalability. The specific context requirements for the management of a cloud data center are identified, and our context dissemination approach is applied to it. Additionally, an extensive evaluation of the framework in a large-scale cloud data center scenario was performed in order to characterize the benefits of our approach, in terms of scalability and reasoning time.

The Effect of Contextual Factors on Resistance to Change in Lean Transformation

  • TRAN, Duc Trong;PHAM, Huong Thu;BUI, Van Thu
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.479-489
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    • 2020
  • The purpose of this paper is to uncover whether and how contextual factors (information exchange, participation, trust in management, and training), relate to resistance to change. It also explores the mediating effect of perceived impact of change on the relations between contextual factors and resistance to change. This study is conducted in several manufacturing plants in food processing industry in Vietnam, which is implementing a top-down large-scale change - Lean transformation, adopting Total Productive Maintenance (TPM) program, to be specific. The findings suggest that all four contextual factors are negatively associated with resistance to change, in which training had the strongest impact. Also, the perceived change impact partially mediates the relationships between the four contextual factors and resistance to change. The practical implications of this paper are that employees who receive adequate, timely and useful information relating to change are less likely to show opposing behaviors towards change. Fostering trust in management among employees, and employee involvement in decision-making, also have a significant influence when addressing employee resistance to change. Employees who are well-trained, well-equipped with tools and knowledge about the change, are less likely to resist as they view the benefits of changes more significant than the risks.

Radiation medicine infrastructure in north korea

  • Kim, Heejin;Lee, Kyo Chul;Lim, Sang Moo;Lee, Yong Jin;Jung, Sung Chul;Kim, Jung Young
    • Journal of Radiopharmaceuticals and Molecular Probes
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    • v.4 no.2
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    • pp.95-98
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    • 2018
  • Recently, South and North Korea summits agreed to implement the cooperation and promotion of medical healthcare at the third inter-Korean summit in Pyeongyang on September 18, 2018. Therefore, the South Korean government and its affiliated organizations have been looking for ways to establish a specific plan for support and exchanges in the field of healthcare and medical technology. In the background of the above new policy, radiation medicine technology can also contribute to the exchange in the field of healthcare and science & technology for the peaceful coexistence of one Korea. In this review, we analyzed and showed the status of healthcare and radiation medicine infrastructure in North Korea in order to further develop a plan to share the benefits of radiation medicine with North Korea in the exchange of healthcare and science & technology.

Financial Distress Prediction Using Adaboost and Bagging in Pakistan Stock Exchange

  • TUNIO, Fayaz Hussain;DING, Yi;AGHA, Amad Nabi;AGHA, Kinza;PANHWAR, Hafeez Ur Rehman Zubair
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.665-673
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    • 2021
  • Default has become an extreme concern in the current world due to the financial crisis. The previous prediction of companies' bankruptcy exhibits evidence of decision assistance for financial and regulatory bodies. Notwithstanding numerous advanced approaches, this area of study is not outmoded and requires additional research. The purpose of this research is to find the best classifier to detect a company's default risk and bankruptcy. This study used secondary data from the Pakistan Stock Exchange (PSX) and it is time-series data to examine the impact on the determinants. This research examined several different classifiers as per their competence to properly categorize default and non-default Pakistani companies listed on the PSX. Additionally, PSX has remained consistent for some years in terms of growth and has provided benefits to its stockholders. This paper utilizes machine learning techniques to predict financial distress in companies listed on the PSX. Our results indicate that most multi-stage mixture of classifiers provided noteworthy developments over the individual classifiers. This means that firms will have to work on the financial variables such as liquidity and profitability to not fall into the category of liquidation. Moreover, Adaptive Boosting (Adaboost) provides a significant boost in the performance of each classifier.

The Impact of Social Media on Firm Value: A Case Study of Oil and Gas Firms in Indonesia

  • NUR D.P., Emrinaldi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.987-996
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    • 2021
  • The development of Internet technology can affect firm value through the use of social media by business people. Nowadays, social media affect businesses of all sizes in several different ways. Despite the various benefits obtained by using social media, research at the organizational level and its impact on business performance have not grown as fast as desired. This research aims to examine the effect of social media on oil and gas firms' value. The research sample consists of 9 oil and gas firms listed on the Indonesian Stock Exchange 2013-2018. Social media proxies are firms' social media, other social media mentions, and social media sentiment. Firm value is measured by the market value to assets ratio. Data analysis uses a random-effect regression test. Based on the analysis, the social media account of a firm has a positive effect on firm value. It indicates that social media give advantages for oil and gas firms to give a signal of business prospect, make use of opportunities related to industry alliances, recruit employees globally, and c. On the other hand, the positive sentiment on social media has no effect on oil and gas firms' value.