• Korea Trade Review
• /
• v.42 no.5
• /
• pp.43-69
• /
• 2017

The study examined moderating role of thinking style about causality in the relationship between the perceived brand globalness(PBG) and the brand evaluation. Thinking style about causality is divided into interactionism and dispositionism. Individualism culture shows a tendency of thinking style about causality to dispositionism, and collectivist cultures shows a tendency for interactionism. We conducted a survey on Korean college students who represent collectivist cultures and foreign students from countries of individualistic culture and analyzed data through structural equation modeling. Analysis result showed that the higher the respondents perceived PBG, the higher they perceived brand quality, brand quality, and brand price. However, it showed that PBG has greater positive effects on perceived brand quality and perceived brand reputation among Korean students than students from individualistic cultures. On the other hand, the effects of PBG on perceived brand price did not show any significant difference between Korean students and students from individualist cultures. Thus, we can conclude that thinking style about causality plays a moderating role in the relationship between PBG and perceived brand quality and brand reputation, while it does not do so between PBG and perceived brand price.

• 한국HCI학회:학술대회논문집
• /
• 2006.02a
• /
• pp.772-779
• /
• 2006

The new model proposed in this paper is the hidden Markov mesh model or the 2D HMM with the causality of top-down and left-right direction. With the addition of the causality constraint, two algorithms for the evaluation of a model and the maximum likelihood estimation of model parameters have been developed theoretically which are based on the forward-backward algorithm. It is a more natural extension of the 1D HMM than other 2D models. The proposed method will provide a useful way of modeling highly variable image patterns such as offline cursive characters.

• Proceedings of the Korean Society for Language and Information Conference
• /
• 2007.11a
• /
• pp.29-41
• /
• 2007

Concepts of greater and greater complexity can be constructed by building systems of entities, by relating other entities to that system with a figure-ground relation, by embedding concepts of figure-ground in the concept of change, by embedding that in causality, and by coarsening the granularity and beginning the process over again. This process can be called the Ontological Ascent. It pervades natural language discourse, and suggests that to do lexical semantics properly, we must carefully axiomatize abstract theories of systems of entities, the figure-ground relation, change, causality, and granularity. In this paper, I outline what these theories should look like.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.10
• /
• pp.4506-4513
• /
• 2012

The purpose of this study is to analyze the causality of electricity consumption and econmic growth and draw policy implications. To do this, we used Testing Prodedures of Unit Root and Cointegration and then VECM and Granger causality test using data taken from China over the period 1971 to 2008. As results, there are long and short term causalities between electricity consumption and economic growth of China. These results provide a few implications to policy analysts in China. First it is still available that the electricity comes before the economic development. The increase of electricity consumption promotes economic growth. Of course there are other factors to the economic growth, but the stable supply of electricity is necessary. Second, this paper confirms the assertion that the increase of GDP expands electric consumption is valid.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.26 no.2
• /
• pp.523-531
• /
• 2016

This paper studies the empirical relationship between various privacy protection measures and personal information invasion experience of firms and individuals using rich and heterogeneous survey data. By analyzing PSM models. we get the following results: first, the treatment group which have more technical measures and/or IS investment tends to experience more privacy invasion than the control group which have less of them. second, the reverse causality, that is firms and individuals with more experience of privacy invasion tends to take more measure for personal information protection, is found to exist. From these result, we discuss proper privacy policies implications in respects of attackers benefits and individual irrationality.

• Journal of Animal Science and Technology
• /
• v.61 no.6
• /
• pp.324-332
• /
• 2019

This study aimed to identify the causality between climatic and soil variables affecting the yield of Italian ryegrass (Lolium multiflorum Lam., IRG) in the paddy field by constructing the pathways via structure equation model. The IRG data (n = 133) was collected from the National Agricultural Cooperative Federation (1992-2013). The climatic variables were accumulated temperature, growing days and precipitation amount from the weather information system of Korea Meteorological Administration, and soil variables were effective soil depth, slope, gravel content and drainage class as soil physical properties from the soil information system of Rural Development Administration. In general, IRG cultivation by the rice-rotation system in paddy field is important and unique in East Asia because it contributes to the increase of income by cultivating IRG during agricultural off-season. As a result, the seasonal effects of accumulated temperature and growing days of autumn and next spring were evident, furthermore, autumnal temperature and spring precipitation indirectly influenced yield through spring temperature. The effect of autumnal temperature, spring temperature, spring precipitation and soil physics factors were 0.62, 0.36, 0.23, and 0.16 in order (p < 0.05). Even though the relationship between soil physical and precipitation was not significant, it does not mean there was no association. Because the soil physical variables were categorical, their effects were weakly reflected even with scale adjustment by jitter transformation. We expected that this study could contribute to increasing IRG yield by presenting the causality of climatic and soil factors and could be extended to various factors.

• Ocean and Polar Research
• /
• v.36 no.4
• /
• pp.327-341
• /
• 2014

This study aims to analyze causality among Wando abalone producer prices by size using a vector autoregressive model to expiscate the leading-price of Wando abalone in various price classes by size per kg. This study, using an analytical approach, applies a unit-root test for stability of data, a Granger causality test to learn about interaction among price classes by size for Wando abalone, and a vector autoregressive model to estimate the statistical impact among t-1 variables used in the model. As a result of our leading-price analysis of Wando abalone producer prices by shell size using a VAR model, first, DF, PP, and KPSS tests showed that the Wando abalone monthly price change rate by size differentiated by logarithm were stable. Second, the Granger causality relationship analysis showed that the price change rate for big size abalone weakly led the price change rate for the small and medium sizes of abalone. Third, the vector autoregressive model showed that three price change rates of t-1 period variables statistically, significantly impacted price change rates of own size and other sizes in t period. Fourth, the impulse response analysis indicated that the impulse responses of structural shocks for price change rate for big size abalone was relatively more powerful in its own size and in other sizes than shocks emanating from other sizes. Fifth, the variance decomposition analysis indicated that the price change rate for big size abalone was relatively more influential than the price change rates for medium and small size abalone.

• Journal of Korea Port Economic Association
• /
• v.23 no.4
• /
• pp.159-175
• /
• 2007

The purpose of this study is to examine the causal relationship between trading volume of freight and industrial growth in Korea ports, and to induce policy implications. In order to test whether time series data is stationary and the model is fitness or not, we put in operation unit root test, cointegration test. And we apply Granger causality based on an error correction model, Hsiao(1981) method and variance decomposition. The results indicate that the extent of causality between trading volume of freight and industrial growth is strong in order of Incheon port, Busan port, Gwang Yang port, Ulsan port. We can infer policy suggestions as follows; The port policy of government must be focused on re-adjusting investment among Korea ports and raising competitive power of Korea ports

• Journal of Food Hygiene and Safety
• /
• v.26 no.4
• /
• pp.302-307
• /
• 2011

One of the most important objectives of post-marketing monitoring of dietary supplements is the early detection of unknown and unexpected adverse events (AEs). Several causality algorithms, such as the Naranjo scale, the RUCAM scale, and the M & V scale are available for the estimation of the likelihood of causation between a product and an AE. Based on the existing algorithms, the Korea Food & Drug Administration has developed a new algorithm tool to reflect the characteristics of dietary supplements in the causality analysis. However, additional work will be required to confirm if the newly developed algorithm tool has reasonable sensitivity and not to generate an unacceptable number of false positives signals.

• The Journal of Korean Association of Computer Education
• /
• v.19 no.6
• /
• pp.15-23
• /
• 2016

Recently the era of software integration which is expressed in words of the fourth industrial revolution has begun. Thus the need of the software education for the non-major preservice teachers who are cultivating future talent has been increasing and it is necessary to foster a positive attitude toward software education of non-major preservice teachers. The purpose of this study is to verify the causality between the computer learning attitude factors of non-major preservice teachers in the software education class. To analyze the causality, we performed correlational analysis and regression analysis between the exterior factors of attention, self-learning, application of learning and the other interior factors of computer learning attitude. As a result, the significant factor of attention was interests, and the significant factor of self-learning was superiority, and the significant factors of the application of learning were the sense of purpose and the motive of accomplishment.