• Title/Summary/Keyword: resources-based theory

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A Study on the Determination for Stochastic Reservoir Capacity (추계학적 저수용량 결정에 관한 연구)

  • Choe, Han-Gyu;Choe, Yong-Park;Kim, Chi-Hong
    • Water for future
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    • v.19 no.2
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    • pp.149-156
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    • 1986
  • The generated sequences of monthly flows were analyzed based on the range concept. With the optimum operation rule of the reservoirs as the one which maximizes the wateruse downstream the waterrelease from the reservoir was determined and with \ulcorner consideration to the mean inflows and the range of monthly flows the required reservoirs capacity was stochastically determind. It is suggested that the result obtained in this study would be applied to approximately estimate, in the stage of preliminary design, the required capacity of a reservoir in question with the limited information such as the mean monthly inflow and the period of reservoir operation. For the determination of a reservoir capacity Rippl's mass-curve method has been long used with the past river flow data assuming the same flow records will be repeated in the future. This study aims to find out a better method for determining the reservoir capacity by employing the analytical theory based on the stochastic process. For the present study the synthetic generation methods of Thomas-Fiering type was used to synthetically generate 50 years of monthly river inflows to three single-purpose reservoirs and three multi-purpose reservoirs.

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Evaluation Study of Home Health Care Program Operated in G Public Health Center (인천광역시 일 보건소 대도시 방문보건사업의 평가 연구)

  • Kim, Myung-Soon;Kim, Young-Sook
    • Research in Community and Public Health Nursing
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    • v.15 no.4
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    • pp.539-550
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    • 2004
  • Purpose: The purpose of this study was to evaluate the achievements of the project, and also to find out its strengths and weaknesses. Method: This evaluative study employed system theory and analytic techniques by using criteria which were relevance, appropriateness, adequacy, progress, effectiveness and satisfaction for input, process, output, and outcome of program. Study subjects were participants in the home health care program implemented in G public health center in Inchon metropolitan city in 2003. Results: Input factors including recruitment personnel, and support organization development were not adequately met for the program. However. the goal and objectives of the project were really appropriate for the community needs as well as government's policy. For the Process evaluation, home health care record form and computer data base had not progressed as scheduled, but overall program activities were finished on time. However, cooperation between organizations in the health center during service activity were not supportive. Managerial ability of program charged personnel about coordination and integration of team members was not affirmative. Output and outcome evaluation showed that people improved self care ability were 221 (17.5%). and 71 (5.62%) of subjects were moved into category of possible self-care. Client's satisfaction for this project showed a high degree. Conclusions: Based on the above results support organization and staff personnel for this program should be developed. Also, a community network of resources should be established and case management services should be focused continuously in community based home health care.

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Analysis of Differences in Self-directed Learning According to Longitudinal Pattern of Information Retrieval Ability and Frequency (정보검색 능력과 빈도의 종단적 패턴에 따른 자기주도학습 능력 차이분석)

  • Shim, Jaekwoun
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.551-560
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    • 2019
  • In the advanced information age, learning is an activity in which learners access information resources through computers and Internet to acquire and evaluate information on their own. The emergence of an online learning platform based on the fourth industrial revolution technology is developing into an environment in which elementary and secondary learners learn and study based on constructivism learning theory. In the online learning environment, the researches on the information retrieval ability of the elementary and secondary learners and the self-directed learning ability were found to be highly related. However, it is necessary to analyze the relation between information retrieval ability and self-directed learning ability through a cross-sectional study that is limited to specific curriculum and contents and expands the longitudinal research. In this study, the panel data of the Seoul Education Longitudinal Study collected over 8 years are used to find the difference in self-directed learning ability according to the longitudinal pattern of information retrieval ability and frequency.

An Anti-Trojan Horse Mechanism with Attached Data from Developers (개발자 첨부 자료에 의한 트로이 목마 대응 기법)

  • Cho, Eun-Sun;Yeh, Hong-Jin;Oh, Se-Chang;Hong, Sun-Ho;Hong, Man-Pyo
    • Journal of KIISE:Computer Systems and Theory
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    • v.29 no.4
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    • pp.220-231
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    • 2002
  • Trojan-horse programs are the programs that disguise normal and useful programs but do malicious thing to the hosts. This paper proposes an anti-Trojan horse mechanism using the information attached to the code by the developers. In this mechanism, each code is accompanied with the information on their possible accesses to resources, and based on this information users determine whether the code is malicious or not. Even in the case a code is accepted by users due to its non-malicious appearance, its runtime behaviors are monitored and halted whenever any attempts to malicious operations are detected. By hiring such runtime monitoring system, this mechanism enables detecting unknown Trojan horses and reduces the decision-making overhead being compared to the previous monitoring-based approaches. We describe the mechanism in a formal way to show the advantages and the limitations of the security this mechanism provides.

A Study of Educational Renovation on the Advertising Curriculum in the Fourth Industrial Revolution (4차 산업혁명시대, 광고학 교육과정 혁신에 관한 연구)

  • Han, Sangpil
    • Journal of the Korea Convergence Society
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    • v.10 no.3
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    • pp.141-147
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    • 2019
  • The purpose of this paper was to develop advertising curriculum demanded in advertising industry in the fourth industrial revolution. A survey was conducted targeting 121 human resources manager in advertising agencies. The results showed that advertising curriculum in Korean university was far behind coping with the fourth industrial revolution and needed to improve for suitable curriculum reform process. The results indicated that proper methods of operation for advertising curriculum were project based learning, practical work based education, convergence education with theory and practical work, and connection with software education. Practical and theoretical suggestions are interpreted in relation to the fourth industrial revolution and advertising education and manpower.

Issues and Challenges in the Extraction and Mapping of Linked Open Data Resources with Recommender Systems Datasets

  • Nawi, Rosmamalmi Mat;Noah, Shahrul Azman Mohd;Zakaria, Lailatul Qadri
    • Journal of Information Science Theory and Practice
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    • v.9 no.2
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    • pp.66-82
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    • 2021
  • Recommender Systems have gained immense popularity due to their capability of dealing with a massive amount of information in various domains. They are considered information filtering systems that make predictions or recommendations to users based on their interests and preferences. The more recent technology, Linked Open Data (LOD), has been introduced, and a vast amount of Resource Description Framework data have been published in freely accessible datasets. These datasets are connected to form the so-called LOD cloud. The need for semantic data representation has been identified as one of the next challenges in Recommender Systems. In a LOD-enabled recommendation framework where domain awareness plays a key role, the semantic information provided in the LOD can be exploited. However, dealing with a big chunk of the data from the LOD cloud and its integration with any domain datasets remains a challenge due to various issues, such as resource constraints and broken links. This paper presents the challenges of interconnecting and extracting the DBpedia data with the MovieLens 1 Million dataset. This study demonstrates how LOD can be a vital yet rich source of content knowledge that helps recommender systems address the issues of data sparsity and insufficient content analysis. Based on the challenges, we proposed a few alternatives and solutions to some of the challenges.

A Study on The Effective Utilization of Fragmented Small Space Design of Urban areas in Busan (부산시 자투리 소규모공간의 효율적 공간디자인 연구)

  • Ma, Lin;Kim, Myung-soo
    • Journal of the Korea Convergence Society
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    • v.12 no.8
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    • pp.145-155
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    • 2021
  • With the massive expansion of cities in the 20th century, many fragmented small spaces are emerged. This research establishes a framework for analysis based on forward theories, and takes the development of small spaces in Busan as an example, draws conclusions through analysis, and construct a design model for the effective use of small spaces. Based on the theory of spatial design research, statistical analysis methods are used to analyse the effective use of fragmented small spaces in city. In order to provide guidance and reference suggestions when analyzing and researching this type of space design on the data collected from the survey in the future. The design of small spaces is a way to improve the efficiency of the space utilization through the reasonable design of this type of spaces. Urban space is designed to meet the requirements of urban residents as well as to consider the sustainable development of the environment and resources, society and culture. Meaningful solutions are proposed for the construction and development of the sustainable of the future urban spaces.

Customer-Contact Employee Support and Service Recovery Efforts: The Mediating Role of Job Burnout and Customer Orientation

  • Moon, Younhee
    • Asia Marketing Journal
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    • v.20 no.3
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    • pp.83-103
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    • 2018
  • The purpose of this research is to investigate the effect of customer-contact employees support on service recovery efforts. Service companies should try to prevent the service failure situation from occurring, but it is realistic that the service failure occurs due to the characteristics of the service. Service recovery efforts of service providers are important because effective responses to service failures can enhance customer satisfaction despite service failures. Social support for customer-contact employees needs to improve service recovery efforts. Specifically, this study focuses on the mediation roles of job burnout and customer orientation in relationship between social support for customer-contact employees and service recovery efforts. Social exchange theory was used as the theoretical underpinning of the research model. Based on reciprocity principle, this paper suppose that support for customer-contact employees and service recovery effort are a kind of social exchange relationship. Social supports for customer-contact employees are categorized into internal and external organization. Internal organization is POS(perceived organizational support) and external organization is customer support. The research model was tested with the data gathered from the flight attendants whose emotional labor intensity was relatively high and the service failure frequently occurred. As a result of analysis, social supports for customer-contact employees classified into organizational support, supervisor support, and customer support are found to have differential impacts on job burnout and customer orientation. It has been found that job burnout of service providers is negatively affecting service recovery efforts. On the other hand, customer orientation of service providers has a positive influence on service recovery efforts. Based on the results of the analysis, we provide practical implications for effective service recovery efforts in service failure situations, and suggest the theoretical implications to explain the process of service recovery effort. Finally, limitations of the study and directions for future research are suggested.

An Empirical Study on Technological Innovation Management Factors of SMEs (중소기업의 기술혁신 관리요소에 관한 실증연구)

  • Im, Chae-Hyon;Shin, Jin-Kyo
    • Journal of Technology Innovation
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    • v.20 no.2
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    • pp.75-107
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    • 2012
  • Previous researches on technological innovation have several limitations such as lack of general mechanism for technological innovation(inputs, throughputs and outputs of technological innovation), large company oriented studies, and ignoring importance of technology management capabilities. So, this study suggested a new model using resource-based theory and system theory, and empirically applied that to SMEs. Structural equation model analysis by using 223 SMEs in Daegu region provided a support for most of hypotheses. Research results showed that all of factors on technological innovation were significantly and positively related with each other: inputs(R&D leadership, innovation strategy, R&D investment, R&D human resource management, external network), throughputs(portfolio management, project management, technology commercialization) and output(technological innovation). In case of technological innovation inputs, R&D leadership influenced on innovation strategy positively and significantly. And R&D leadership and innovation strategy had positive and significant effects on R&D investment, R&D human resource management and external network. R&D human resource management and external network exerted positive and significant influences on technological innovation throughputs such as portfolio management and project management. But R&D investment did not significant impacts on technological innovation throughputs. Among technological innovation throughputs, both portfolio management and project management had positive and significant effect on technology commercialization. In addition, technology commercialization acted positively and significantly technological innovation output. This study suggests necessary of efforts to implement innovation strategy and manage R&D human resource effectively based on CEO's innovativeness and entrepreneurship. Also, if SMEs want to develop technology and commercialize it, they have to cooperate with external technology resources and informations. Research results revealed that proper level of R&D investment, internal and external communication, information sharing, and learning and cooperative culture were very important for improvement of technological innovation performance in SMEs. Especially, this research suggested that if SMEs manage technological innovation process effectively based on resource-based and system approaches, then they can overcome their resource limitations and gain high technological innovation performance. Also, useful policy support for technological innovation of central or regional government by this research model is important factor for SMEs' technological innovation performance.

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Assessment of Rainfall-Sediment Yield-Runoff Prediction Uncertainty Using a Multi-objective Optimization Method (다중최적화기법을 이용한 강우-유사-유출 예측 불확실성 평가)

  • Lee, Gi-Ha;Yu, Wan-Sik;Jung, Kwan-Sue;Cho, Bok-Hwan
    • Journal of Korea Water Resources Association
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    • v.43 no.12
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    • pp.1011-1027
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    • 2010
  • In hydrologic modeling, prediction uncertainty generally stems from various uncertainty sources associated with model structure, data, and parameters, etc. This study aims to assess the parameter uncertainty effect on hydrologic prediction results. For this objective, a distributed rainfall-sediment yield-runoff model, which consists of rainfall-runoff module for simulation of surface and subsurface flows and sediment yield module based on unit stream power theory, was applied to the mesoscale mountainous area (Cheoncheon catchment; 289.9 $km^2$). For parameter uncertainty evaluation, the model was calibrated by a multi-objective optimization algorithm (MOSCEM) with two different objective functions (RMSE and HMLE) and Pareto optimal solutions of each case were then estimated. In Case I, the rainfall-runoff module was calibrated to investigate the effect of parameter uncertainty on hydrograph reproduction whereas in Case II, sediment yield module was calibrated to show the propagation of parameter uncertainty into sedigraph estimation. Additionally, in Case III, all parameters of both modules were simultaneously calibrated in order to take account of prediction uncertainty in rainfall-sediment yield-runoff modeling. The results showed that hydrograph prediction uncertainty of Case I was observed over the low-flow periods while the sedigraph of high-flow periods was sensitive to uncertainty of the sediment yield module parameters in Case II. In Case III, prediction uncertainty ranges of both hydrograph and sedigraph were larger than the other cases. Furthermore, prediction uncertainty in terms of spatial distribution of erosion and deposition drastically varied with the applied model parameters for all cases.