• Journal of Digital Convergence
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• v.19 no.11
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• pp.615-623
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• 2021

The purpose of this study was to identify the factors influencing resilience of patients with systemic lupus erythematosus. The subject(N=118) was a systemic lupus erythematosus patient who visited the E hospital in D city. The collected data were analyzed by descriptive statistics, t-tset, ANOVA, pearson correlation, and multiple regression. As a result of the study, impact domain of uncertainty, fatigue, self-management domain of uncertainty, trust in doctors domain of uncertainty significant effects on resilience. Based on this study, in order to improve the resilience of patients with systemic lupus erythematosus, a multifaceted approach is needed to reduce the uncertainty perceived by the patient and control fatigue. In addition, it is required to develop an effective nursing intervention program to enhance resilience reflecting influencing factors.

• Journal of the Korean Society for information Management
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• v.36 no.1
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• pp.191-213
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• 2019

The process of obtaining scientific knowledge is conducted through research. Researchers deal with the uncertainty of science and establish certainty of scientific knowledge. In other words, in order to obtain scientific knowledge, uncertainty is an essential step that must be performed. The existing studies were predominantly performed through a hedging study of linguistic approaches and constructed corpus with uncertainty word manually in computational linguistics. They have only been able to identify characteristics of uncertainty in a particular research field based on the simple frequency. Therefore, in this study, we examine pattern of scientific knowledge based on uncertainty word according to the passage of time in biomedical literature where biomedical claims in sentences play an important role. For this purpose, biomedical propositions are analyzed based on semantic predications provided by UMLS and DMR topic modeling which is useful method to identify patterns in disciplines is applied to understand the trend of entity based topic with uncertainty. As time goes by, the development of research has been confirmed that uncertainty in scientific knowledge is moving toward a decreasing pattern.

• Industry Promotion Research
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• v.8 no.2
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• pp.11-19
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• 2023

The purpose of this study is to analyze the effect of economic uncertainty on business innovation. To this end, Ahir et al. (2018) World Uncertainty Index (WUI) is selected as a proxy for economic uncertainty, while total R&D investment (RD), capitalized R&D investment (RD_A), expensed R&D investment (RD_E), and the proportion of capitalized R&D investment to total R&D investment (RD_R) are selected as variables representing business innovation. The research findings showed that economic uncertainty (WUI) had a statistically significant positive (+) relationship with total research and development investment (RD), asset-based research and development investment (RD_A), and the proportion of asset-based research and development investment (RD_R). This relationship remained the same even after controlling for managerial opportunistic accounting behavior (DACC; discretionary accruals). These findings suggest that companies focus on research and development investment as an opportunity for management innovation even in the face of economic uncertainty. The results of this study are significant in demonstrating the validity and effectiveness of government support for industrial promotion under economic uncertainty.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.319-330
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• 2023

Purpose - The purpose of this paper is to examine the connectedness between categorical economic policy uncertainty (monetary, fiscal, trade and foreign exchange policy uncertainty) indexes and option-implied volatility index in Korea, Japan and the US. Design/methodology/approach - This paper employs the Diebold-Ylmaz (2012) model based on a VAR and generalized forecast error variance decomposition. This paper also conducts regression analyses to investigate whether the volatility indexes are explained by categorical policy uncertainty indexes. Findings - First, we find the total connectedness is stronger in Korea and Japan relative to the US. Second, monetary, fiscal, and foreign exchange policy uncertainty indexes are connected to each other but trade policy uncertainty index is not. Third, the volatility index in Japan and the US is mainly associated with monetary policy uncertainty while the volatility index in Korea is explained by fiscal policy uncertainty index. Research implications or Originality - To our knowledge, this is the first study to investigate the connectedness among categorical policy uncertainty indexes and the volatility index in Korea, Japan, and the US. The empirical results on the connectedness suggest that transparent policy and communication with the market in one type of policy would reduce the uncertainty in other policies.

• Korean Management Science Review
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• v.33 no.3
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• pp.105-117
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• 2016

In this paper, we present empirical testing result to examine the validity of inbound supply and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk level. The risk factors are drawn from industry uncertainty attributes categorized as uncertainties of input market (inbound supply), and product market (outbound demand). On the basis of input-output table, industry level inbound and outbound sectors are identified to formalize supply chain structures, relevant inbound and outbound uncertainty attributes and corresponding risk factors. Subsequently, publicly available macro-economic indicators are used to appropriately quantify these risk factors. Total 68 industry level bankruptcy risk forecasting results are presented with the average R-square scores of between 53.4% and 37.1% with varying time lag. The findings offers useful insights to incorporate supply chain risk to the body of firm's bankruptcy risk level prediction literature.

• Korean Management Science Review
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• v.29 no.3
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• pp.67-80
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• 2012

This study analyzes the relationship among environment uncertainty, local infrastructure, flexible-open firm culture, operations performance and marketing performance focus on SMEs. This research has revealed that the relation among firm size, firm type, firm culture, operations performance and marketing performance as well. The findings show that firm has its culture which is preparing environment uncertainty and local infrastructure influence on forming firm culture. Change-oriented and leaning-oriented firm cultures affect operations performance and marketing performance. In conclusion, this study suggests implication and limitations for further research.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1079-1084
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• 2006

Since the focus of QFD is placed on the early stage of product development, the uncertainty in the input information of QFD is inevitable. If the uncertainty is neglected, the QFD analysis results can be misleading. This paper proposes an extended version of the QFD methodology, called Robust QFD, which is capable of considering the uncertainty of the input information and the resulting variability of the output. The proposed framework aims to model, analyze, and dampen the effects of the uncertainty and variability in a systematic manner. The proposed framework is demonstrated through a case study on the ADSL-based high-speed internet service.

• Journal of the Korean Operations Research and Management Science Society
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• v.17 no.2
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• pp.53-90
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• 1992

THis study examines a contingency relationship between task uncertainty and structure of project teams in conjunction with the leader-member communication patterns. Multivariate analyses are used to analyze the data from 63 R & D project teams of research laboratory in a large manufacturing corporation. Major findings for this study can be summarized as follows. First, project teams with an organic structure are found to yield high performance when task uncertainty is high, while project teams with a mechanistic structure achieve high performance when their tasks are relatively certain. Second, patterns of leader-member comunication are significantly associated with both task uncertainty and structural characteristics of project teams. This implies that leaders of project teams communicate with their members in more conslutative manner when their tasks are uncertain or when their team structure exhibits organic characteristics. Finally, task uncertainty playus a significant moderating role in the relationship between consultative communication patterns and performance of project teams. Based upon these findings, this study offers several theoretical, practical, and methodological implications.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.902-907
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• 2005

This study was undertaken to develop a comprehensive scheduling method which applied the core concept(DBR) of TOC to PERT, and to combine Monte Carlo Simulation to revise the uncertainties of activities then to eliminate project duration uncertainty. Most of the project duration overlooks the fact that in spite of minimizing the project duration, the uncertainty of constrained resources still puts the reliability of project duration in jeopardy. For the contractor, however, the most important thing is to comply the project scheduling with the planning to reduce the uncertainty of the project activities, operational interaction and project duration. In order to demonstrate that the model can be used in construction project, the scheduling of a steel-structure project was used as a case study to verify the validity of this model.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.13-24
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• 2017

This study aims to analyze which subsidiary configuration strategy is more effective under uncertainty especially technology base multinational corporations (henceforth MNCs). In previous studies real option theory scholars argue that high breadth subsidiary configuration is most effective strategy because that provides flexibility to MNCs global network. In this study I want unveil more various types of uncertainty such as technology and learning uncertainty which are more important for technology base firm and further more examine the effect of MNCs subsidiary configuration on firm R&D performance each uncertainty case. Empirical study is performed by negative binominal model based on Japanese 108 multinational corporations. The result shows that under technology uncertainty, high breadth subsidiary configuration is better for firm R&D performance but under learning uncertainty high depth subsidiary configuration is better. Thus, the effects of MNCs subsidiary configuration on firm value can differ by types of uncertainty.