• Asian Journal for Public Opinion Research
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• v.7 no.1
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• pp.23-39
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• 2019

Assuming that a political party has a strong incentive to gain votes via issue setting as part of its campaign strategy, this study utilized a Web experimental survey to explore the extent to which three issue-related campaign advertising strategies - namely, issue ownership, issue convergence, and issue trespassing - affected voters' perceptions toward parties' issue-handling capabilities. Our empirical results show that issue ownership perceptions exist in Taiwan. In the 2012 Taiwan presidential election, as issue ownership advertisements may reinforce voters' beliefs regarding parties' issue-handling capabilities, issue trespassing advertising may improve a party's image on the disadvantageous issue dimension. At least our data shows that the Kuomintang's (KMT) advertisements have both effects.

• Korean Journal of Legislative Studies
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• v.24 no.1
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• pp.171-202
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• 2018

Issue ownership concerns a party's issue handling reputation. When a party is perceived to have the best solution for an issue, voters identify the party as the owner of the issue. Extant literature of issue ownership voting shows that voters tend to vote for a party that they identify as the owner of an issue they concern most. That is, the effect of issue ownership on voting is conditioned by the perceived salience of the issue in question. This study investigates another condition of issue ownership voting: i.e. party behavior in election campaigns. It argues that the effect of issue ownership on voting is conditional: it depends on party behavior as well as issue salience. During the campaign in the 2016 legislative election, only the Democratic Party of Korea, the opposition party at that time, actively presented itself as the owner of economic issues. The analysis results of this study show that the identification of the Democratic Party as the economic issue owner affects voting for the party when a voter thinks the economy to be the most important issue. However, the identification of the other parties as the economic issue owner does not affect voting for them under the same condition. The results support the argument that party behavior as well as issue salience are conditions of issue ownership voting.

• Proceedings of the Korean Nuclear Society Conference
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• 2005.10a
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• pp.416-417
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• 2005

• Journal of Information Technology Services
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• v.14 no.1
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• pp.237-249
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• 2015

The volume of unstructured text data generated by various social media has been increasing rapidly; therefore, use of text mining to support decision making has also been increasing. Especially, issue Clustering-determining a new relation with various issues through clustering-has gained attention from many researchers. However, traditional issue clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be discovered using traditional issue clustering methods, even if those issues are strongly related in other perspectives. Therefore, issue clustering that fits each of criteria needs to be performed by the perspective of analysis and the purpose of use. In this study, a multi-dimensional issue clustering is proposed to overcome the limitation of traditional issue clustering. We assert, specifically in this study, that issue clustering should be performed for a particular purpose. We analyze the results of applying our methodology to two specific perspectives on issue clustering, (i) consumers' interests, and (ii) related R&D terms.

• Journal of Korean Society for Quality Management
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• v.52 no.2
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• pp.241-254
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• 2024

Purpose: This paper investigated the effects of issue leadership on employees' work performance. It also explored the mediating role of job challenge in the above relationship. We also tested the moderating effect of psychological ownership in the relationship between issue leadership and job challenge. Finally, this paper examined the moderated mediation effect of psychological ownership in the course of affecting issue leadership on work performance via job challenge. Methods: This paper used a cross-sectional design with questionnaires administered to 390 employees working in Korean firms. It applied an hierarchical and multi-regression analysis by using SPSS 22.0 and Hayes' Macro Process to test the proposed hypotheses including a moderated mediation model. Results: As a result of the analysis, first, it was found that the issue leadership had a positive effect on the work performance. Second, it was also found that issue leadership had a positive effect on the job challenge. In addition, job challenge was found to positive mediating effect in the relationship between issue leadership and work performance. Third, we found that the psychological ownership positively moderated the relationship between issue leadership and job challenge. Finally, the moderated mediating effect was found by confirming that the higher the degree of psychological ownership, the stronger the effect of issue leadership on the work performance via job challenge. Conclusion: This paper contributes to the leadership and work performance studies by identifying the role of issue leadership enhancing employee work performance while confirming connection mechanism and boundary conditions strengthening the positive effect of issue leadership on employee work performance.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.275-287
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• 2014

Recently, the volume of unstructured text data generated by various social media has been increasing rapidly; consequently, the use of text mining to support decision-making has also been growing. In particular, academia and industry are paying significant attention to topic analysis in order to discover the main issues from a large volume of text documents. Topic analysis can be regarded as static analysis because it analyzes a snapshot of the distribution of various issues. In contrast, some recent studies have attempted to perform dynamic issue tracking, which analyzes and traces issue trends during a predefined period. However, most traditional issue tracking methods have a common limitation : when a new period is included, topic analysis must be repeated for all the documents of the entire period, rather than being conducted only on the new documents of the added period. Additionally, traditional issue tracking methods do not concentrate on the transition of individuals' interests from certain issues to others, although the methods can illustrate macro-level issue trends. In this paper, we propose an individual interests tracking methodology to overcome the two limitations of traditional issue tracking methods. Our main goal is not to track macro-level issue trends but to analyze trends of individual interests flow. Further, our methodology has extensible characteristics because it analyzes only newly added documents when the period of analysis is extended. In this paper, we also analyze the results of applying our methodology to news articles and their access logs.

• Hwankyungkyoyuk
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• v.20 no.1
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• pp.118-130
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• 2007

This article investigated the effects of students' knowledge, beliefs, and attitudes about environment on environmental issue-based environmental problem solving in secondary school students. This article also investigated whether these factors are related to the environmental problem solving. Therefore, we first developed the test instruments to measure secondary school students' environmental knowledge, environmental beliefs, and environmental attitudes. Then, we developed the environmental issue-based teaching materials for secondary school students. The subjects participated in a environmental issue-based approach that consist of 3 lesson over an three weeks period. The results of this study presents that environmental knowledge and environmental beliefs are effective for the environmental problem solving in middle school environment class. First, secondary school students knew well ecological knowledge about environmental problem, and was entertaining most ecological beliefs. Second, secondary school students were having attitude which is most pro-environmental behaviors. Third, secondary school students are referring necessity of development partially about environment point at issue of country level. But, they were retaining situation of preservation about environment point at issue of area level. It's not easy to generalize these results because of many different variables, but the results suggests that teachers should make an effort to improve student's environmental problem solving ability applying environmental issue-based learning. And it's necessary to develop many kinds of environmental issues and teacher's instruction method to enrich problem solving ability in the process of environmental issue-based learning.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.4
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• pp.26-32
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• 2016

An autonomous car(driverless car, self-driving car, robotic car) is a vehicle that is capable of sensing its environment and navigating without human input. Autonomous cars can detect surroundings using a variety of techniques such as radar, lidar, GPS, odometry, and computer vision. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage. Autonomous cars have control systems that are capable of analyzing sensory data to distinguish between different cars on the road, which is very useful in planning a path to the desired destination. An issue tree, also called a logic tree, is a graphical breakdown of a question that dissects it into its different components vertically and that progresses into details as it reads to the right.Issue trees are useful in problem solving to identify the root causes of a problem as well as to identify its potential solutions. They also provide a reference point to see how each piece fits into the whole picture of a problem. Using Issue-Tree menthods, transportation safety policies were developed with autonompus vehicle in mind.

• Journal of Korean Neurosurgical Society
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• v.60 no.3
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• pp.273-274
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• 2017

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.9
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• pp.43-52
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• 1997

Processors using the superscalar rchitecture can achieve high performance by executing multipel instructions in a clock cycle. It is made possible by having multiple functional units and issuing multiple instructions to functional units simultaneously. But instructions can be dependent on one another and these dependencies prevent some instructions form being issued at the same cycle. In this paper, we designed an issue unit of a superscalar RISC microprocessor that can issue four instructions per cycle. The issue unit receives instructions form a prefetch unit, and issues them in order at a rate of as high as four instructions in one cycle for maximum utilization of functional units. By using an instruction buffer, the unit decouples instruction fetch and issue to improve instruction ussue rate. The issue unit is composed of an instruction buffer and an instruction decoder. The instruction buffer aligns and stores instructions from the prefetch unit, and sends the earliest four available isstructions to the instruction decoder. The instruction decoder decodes instructions, and issues them if they are free form data dependencies and necessary functional units and rgister file prots are available. The issue unit is described with behavioral level HDL (lhardware description language). The result of simulation using C programs shows that instruction issue rate is improved as the instruction buffer size increases, and 12-entry instruction buffer is found to be optimum considering performance and hardware cost of the instruction buffer.