• Journal of Distribution Science
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• v.17 no.10
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• pp.73-81
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• 2019

Purpose - The purpose of this study was to examine the effect of the heuristic type of consumers affecting purchase decision making and the intention of shopping value in their relationship to derive mobile social commerce purchase promotion plans. Research design, data, and methodology - A research model was constructed to relate the mediating effect of shopping value between heuristic types and purchase intentions. A total of 233 valid questionnaires were used for analysis for users using mobile social commerce. The statistical program used SPSS 24.0 and AMOS 24.0, and correlation analysis, regression analysis, and 3-step parametric regression analysis were used for the analysis. Results - The results of the analysis showed that representativeness heuristics, availability heuristics, adjustment heuristics, and affect heuristics had a statistically significant effect on the utilitarian value and the hedonic value. On the other hand, affect heuristics among the heuristic types were found to have the greatest influence not only on the utilitarian value but also on the hedonic value. The two types of shopping value were found to be partially mediated between representativeness heuristics and purchase intentions, between adjustment heuristics and purchase intentions, and fully mediated between availability heuristics and purchase intentions, affect heuristics and purchase intentions. Conclusions - These findings suggest that mobile social commerce companies should check in advance how consumer heuristic types affect purchase intentions. In particular, affect heuristics are caused by consumers' emotional mood such as mood or external stimulus being more important to decision making than rational decision making. Therefore, the result of this study suggests that it can be an important factor to secure the competitiveness that the potential customers who access to use mobile social commerce can feel enough fun and enjoyment in the platform provided by the company. It is also worth paying attention to the utilitarian and hedonic values perceived by consumers. This is because the judgment regarding the economic, convenience and important information provided by the mobile social commerce users affects the purchase intention through the trust of the information, past use, and shopping experience displayed on the mobile social commerce platform.

• Journal of Educational Research in Mathematics
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• v.21 no.1
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• pp.17-32
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• 2011

This study investigated pre-service teachers' understanding of statistical sampling. The researchers categorized major topics related to sampling into representativeness of samples, sampling variability, and sampling distribution, and selected concepts connected to each topic. Findings on this study are as follows: Even though most of the pre-service teachers considered the random sampling bringing unbiased outcomes as a proper sampling method, only 64% of them recognized that sample is a quasi-proportional, small-scale version of population; Few pre-service teachers understood that more important is the size of sample, not the portion of sample to population, and half of them appreciated that the number of sampling has a powerful effect on drawing of reliable results than the size of sample; Few pre-service teachers understood that sampling distribute is irrelevant to the shape of population and has a symmetrical bell-shape.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.12
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• pp.1213-1219
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• 2012

The purpose of this study is to present a guideline to design a short-term manual measurement of environmental noise level, which is more economical and flexible, but less representative than long-term automatic measurement. The proposed guideline can provide the number of measurement times and the length of measurement term required to secure the extent of the representativeness. The data was collected at 4 sites located in Seoul and at 4 sites located outside of Seoul. The probabilities for five-minute equivalent noise levels, Leq, 5min, to stay in an error range from the quarterly representative noise level were used to evaluate sampling techniques. The probability analysis of the daytime period showed that the noise levels measured between 10 am and 2 pm and between 9 pm and 10 pm have the probabilities higher than 60 %. On the other hand, even for the same length of total measurement time, increasing the number of random samplings results in higher probabilities than increasing the length of measurement term.

• Informatization Policy
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• v.22 no.3
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• pp.61-93
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• 2015

This article assesses and examines democratic potentials of the Internet for U.S. citizens' political participation. The empirical analysis on the data from Pew Research Center's questionnaire survey focuses on four different political activities in both online and offline modes: casual political talk, contact with a government official, petition, and political contribution. The study answers two research inquiries: 1) How does the Internet influence the established patterns of political participation?; and 2) How does the Internet influence the demographic distribution of participatory inequality? Firstly, the Internet, by providing existing participants with additional tools for participation, reinforces conventional participation, rather than mobilizing new participation in politics. Secondly, the online patterns of the participation divide with respect to demographic characteristics imitate the traditional patterns of inequality and disproportionate representativeness in political participation. The Internet is still not a predominant medium for political activities. Citizens' utilization of its transformative and mobilizing potentials remains limited.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.21 no.1
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• pp.83-94
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• 2018

This study presents an integrated evaluation method to assess the level of achievement of quantitative expansion goals and qualitative improvement goals based on the Aichi Biodiversity Target 11 for quantitatively expanding and qualitatively improving national protected areas. The quantitative evaluation indicators for national protected areas are the percentage of terrestrial and inland water areas protected and the percentage of marine and coastal areas protected. The quantitative evaluation indicators for national protected areas are selected as 6 indicators: 1) ecologically important areas, 2) ecological representativeness, 3) management effectiveness, 4) connectivity, 5) social equity and 6) integration. Ecologically important areas are an indicator which evaluates how many areas of particular importance for biodiversity and ecosystem services are included in national protected areas. Ecological representativeness is to assess how well national protected areas represent the ecosystem. Management effectiveness is an indicator which evaluates how effectively national protected areas are conserved and managed, and connectivity is an indicator to assess how well national protected areas are connected. Social equity is evaluating how equitably national protected areas are managed and the integration is assessing how much national protected areas are integrated into the wilder landscape and seascape. This study is significant in that it provides a perspective of qualitative improvement as well as quantitative expansion of national protected areas for biodiversity conservation through accurately understanding Aichi Biodiversity Target 11.

• Journal of Environmental Science International
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• v.27 no.7
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• pp.477-488
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• 2018

In this study, heavy metal levels at the sediment monitoring network site upstream of the Gangjeong-Goryeong weir in the Nakdong River were surveyed from 2012 to 2016. We assessed the sediment pollution level using various pollution indexes based on ICP-MS analysis. The stream sediment pollution assessment standard, established through Regulation No. 687 of the National Institute of Environmental Research (2015), pollution load index (PLI), potential ecological risk index (RI), and mean PEL Quotient (mPELQ) were used to evaluate the sediment pollution level. We verified the representativeness of the monitoring point through the distribution of sedimentation and scour behavior by river bed surveying using anacousticDopplercurrentprofiler.

• The Korean Journal of Applied Statistics
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• v.32 no.3
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• pp.375-389
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• 2019

Sample attrition according to a long-term tracking reduces the representativeness of the sample data in a panel study. Most panel surveys in South Korea and other countries have prepared response adjustment weights in order to solve problems regarding representativeness due to sample attrition. In this paper, we divided the panel data into continuous response group and non-continuous response group according to response patterns and considered a weighting adjustment method to reduce the bias of the non-continuous response group. A simulation indicated that the proposed composite estimation type weighting method, which reflected the characteristics of non-continuous response groups, could be more efficient than other weighting methods in terms of reducing non-response bias. As a case study, the proposed methods are applied to the Korean Longitudinal Study of Ageing (KLoSA) data of the Korea Employment Information Service.

• Journal of Contemporary Eastern Asia
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• v.16 no.1
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• pp.69-81
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• 2017

This study examines how South Korean governments responded to the outbreak of Middle East Respiratory Syndrome Coronavirus (MERS) using the adaptive governance framework. As of November 24, 2015, the MERS outbreak in South Korea resulted in the quarantine of about 17,000 people, 186 cases confirmed, and a death of 38. Although the national government had overall responsibility for MERS response, there is no clear understanding of how the ministries, agencies, and subnational governments take an adaptive response to the public health crisis. The paper uses the adaptive governance framework to understand how South Korean governments respond to the unexpected event regarding the following aspects: responsiveness, public learning, scientific learning, and representativeness of the decision mechanisms. The framework helps understand how joint efforts of the national and subnational governments were coordinated to the unexpected conditions. The study highlights the importance of adaptive governance for an effective response to a public-health related extreme event.

• Journal of Environmental Science International
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• v.11 no.1
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• pp.1-14
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• 2002

This study was conducted to compare protected areas of South and North Korea based on international conservation criteria and recommend new fundamental directions for nature conservation policy. International conservation criteria used by this research were the 1994 IUCN protected area categories, composed of 6 management categories. Despite a variety of types and names of protected areas created by different domestic legislations, South Korea was revealed to have only two types of protected areas, Category IV and V, indicating the significant lack of ecological diversity and representativeness in its protected area system. Shockingly, there are no national parks meeting IUCN criteria in South Korea. On the other hand, North Korea has three IUCN Categories of II, III, IV and thus more balanced and ecologically representative protected area network than South Korea. Especially, North Korea maintains 9 national parks to be officially recognized by IUCN and UN. However, both South and North Korea should make sincere effort to have new and well-designed protected area system including all IUCN Categories I -Ⅵ and particularly a minimum area in the stricter protected area categories.

• MALSORI
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• no.66
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• pp.87-103
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• 2008

We describe a new active learning method in conditional random fields (CRFs) framework for keyphrase extraction. To save elaboration in annotation, we use diversity and representative measure. We select high diversity training candidates by sentence confidence value. We also select high representative candidates by clustering the part-of-speech patterns of contexts. In the experiments using dialog corpus, our method achieves 86.80% and saves 88% training corpus compared with those of supervised method. From the results of experiment, we can see that the proposed method shows improved performance over the previous methods. Additionally, the proposed method can be applied to other applications easily since its implementation is independent on applications.