• Journal of Korean Academy of Nursing
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• v.54 no.1
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• pp.59-72
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• 2024

Purpose: This cross-sectional study aimed to identify factors influencing the intention for continual fertility treatments among women undergoing assisted reproductive technology (ART). Methods: A total of 197 women were recruited through convenience sample from fertility hospitals in Gyeonggi-do and Busan, South Korea. Data were collected using a self-report questionnaire incorporating measures of uncertainty; Depression Anxiety Stress Scales; Fatigue Severity Scale; Coping Scale for Infertility-Women; spousal support; treatment environment; and intention for continual fertility treatment. Descriptive statistics, chi-square tests, t-tests, and logistic regression analysis were conducted using IBM SPSS 26.0. Results: As many as 70.6% of the participants expressed an intention for continual fertility treatments. Logistic regression analysis revealed that factors such as uncertainty (odds ratio [OR] = 0.44, 95% confidence interval [CI] 0.20~0.95), active coping (OR = 4.04, 95% CI 1.11~14.71), treatment environment (OR = 2.77, 95% CI 1.26~6.07), and the duration of marriage (OR = 2.61, 95% CI 1.24~5.49) were significantly related with this intention. Conclusion: These findings underscore the significance of uncertainty management, having proactive coping strategies, having supportive treatment environments, and considering the duration of marriage concerning women's intention for continual fertility treatment in the context of ART. The implications of these results extend to the development of nursing intervention programs aimed at providing crucial support for women undergoing ART and seeking to continue their infertility treatment.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.10
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• pp.1012-1017
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• 2007

Rain data and water-level data are importantly used for dam operation at flood period. Because dams are directly controlled by the water-level data, the characteristic of the water-level gauges is necessary to be managed. Thus, we developed the standard test facility and method for testing the water-level gauges which are a float type, a supersonic type and a radar type. And we calculated the uncertainty of the standard test facility to maintain the accuracy of water-level gauges. Through development of this facility, we could obtain the characteristics and the calibration factor of the water-level gauges. And, this study showed that the standard test facility can be widely used for dam operation and basin management.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.957-962
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• 2008

We propose a model for the line expansion problem in the AMOLED (Active Matrix Organic Light Emitting Diodes) industry, which now faces market uncertainty: for example, changing customer needs, technological development path, etc. We focus on the optimal investment time and size of the AMOLED production lines. In particular, employed here is the ROV (Real Options Valuation) model to show how to capture the value of line expansion and to determine the optimal investment time. The ROV framework provides a systematic procedure to quantify an expected outcome of a flexible decision which is not possible in the frame of the traditional NPV (Net Present Value) approach. Furthermore, we also use Monte Carlo simulation to measure the uncertainty associated with the line expansion decision; Monte Carlo simulation estimates the volatility of a decision alternative. Lastly, we present a scenario planning to be conducted for what-if analysis of the ROV model.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1647-1651
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• 2009

The uncertainty or imprecision associated with vague parameters and weighting sets, reduces the ability to decide what alternative is better for a particular location. To efficiently reduce the effect of imprecision frequently arising in available information, fuzzy theory has been used to improve consideration of imprecision in a Multi-Criteria Decision Analysis (MCDA) problem. Fuzzy logic offers a way to represent and handle imprecision present in continuous real world applications. A GIS implementing fuzzy set theory, (referred to in this paper as the "Spatial Fuzzy Approach") enables decision makers to express imprecise concepts associated with geographic data and provides decision makers the ability to have even more definition and discrimination in terms of the best alternatives for a particular spatial location. This study is focused on addressing questions pertaining to the methodology of floodplain analysis using GIS and Spatial Fuzzy MCDA to evaluate flood damage reduction alternatives. The issues will be examined in a case study of the Suyoung River Basin in Pusan, Korea.

• The Korean Journal of Financial Studies
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• v.6 no.1
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• pp.289-312
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• 2000

This paper proposes a pricing model for IPOs which can reconcile the average underpricing phenomenon with the expected wealth maximizing behaviors of market participants. Under the usual informational asymmetry, the optimal offer price for best efforts IPOs is derived as a function of the uncertainty about market's valuation, the expected return on proposed projects and the size of offerings relative to the firm's market value. Depending on these firm-specific characteristics, best efforts IPOs can be underpriced, fairly priced, or overpriced. Introducing the investment banker as an outside information producer, the model is extended to provide empirical implications for pricing and underwriting contract choice decisions which are consistent with the existing empirical evidences. The model predicts that the issuers with greater uncertainty about market's valuation choose best efforts contract over firm commitment contract and the dispersion of initial returns would be greater for best efforts IPOs than for firm commitment IPOs.

• Journal of Intelligence and Information Systems
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• v.7 no.1
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• pp.161-175
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• 2001

In this paper, a detection method of contradiction between input informations is proposed when the inference is processed in rule-based systems. The proposed method is accomplished by improving the label representation and the label management scheme in a conventional ATMS(Assumption-based Truth Maintenance System). The Proposed method also can represent and process input informations having uncertainty values.

• Agribusiness and Information Management
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• v.8 no.1
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• pp.11-16
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• 2016

This paper presents how Digital Knowledge Ecosystem such as "Govi Nena" (translates as agriculture intelligence) can be used to provide a more effective and practical solution to eliminate the inefficiencies in agricultural markets and achieve higher productivity and price stability. In order to establish the framework to analyze the system, this paper uses a set of hypothetical scenarios faced by value chain actors based on a review of the literature, established knowledge and recent developing country experiences. The scenario analysis reveals that "Govi Nena" enables farmers to make effective production decisions, deepens the level of value chain integration, and enhances the level of welfare for the society as a whole.

• Asia pacific journal of information systems
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• v.10 no.2
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• pp.197-211
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• 2000

Despite the increasing pervasiveness of electronic commerce, very little empirical research has been done to examine its use in organizational contexts. Based on theories from the technological innovation literature, we developed an integrated model of electronic commerce initiation, adoption and implementation in Korea. We selected a random sample of 500 Korean leading companies. A questionnaire survey examined factors in initiation, adoption, and implementation of electronic commerce. Independent variables of this research were environment uncertainty, organizational characteristics(namely, organizational size, centralization, and formalization), and information system maturity. The resultant study sample included 62 firms across the industries. The empirical tests of the hypotheses were performed. According to our findings, environmental uncertainty, centralization, formalization, and information system maturity have a significant effect on the electronic commerce initiation, adoption and implementation.

• Journal of Convergence Society for SMB
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• v.3 no.1
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• pp.23-30
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• 2013

In this paper, fuzzy entropy and similarity measure to measure the uncertainty and similarity of data as real value were introduced. Design of fuzzy entropy and similarity measure were illustrated and proved. Obtained measures were applied to the calculating process and discussed. Extension of data quantification results such as decision making and fuzzy game theory were also discussed.

• Journal of Industrial Convergence
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• v.4 no.2
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• pp.39-55
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• 2006

Pioneer brand and follower brand show differences in their perception of the environmental uncertainty. Market pioneer brand companies think that the environment is relatively simple and doesn't change much, whereas follower bland companies think that the environment is complicated and changes a lot. For market pioneer brand companies, among dynamism on the environment lever, there was less potential for the environment and parts, and government restrictions compared to follower brand companies. Also the complexity of the environment level complicated compared to the follower brand companies in areas such as competition for consumers with rival companies, materials, resources of equipment and parts, government restrictions, and the amount of change of the market's preference of the product.