• Journal of the Korean Institute of Landscape Architecture
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• v.25 no.3
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• pp.89-100
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• 1997

The purpose of this paper was to analyze the content of impact prediction in EISS, in order to find the degree of the acuracy of impact prediction . 30 EISS were selected as analysis objects through variance miximization strategy. Content analysis of the selected EISS was performed by 5 analysis items, such as quantification of measurement, range of impact area, time frame of impact, likelihood of impact, and explict characterization of impact significance. The results showed that the accuracy investigated by the 5 items was very low. In conclusion, 5 suggestions were proposed in order to improve the credibility of EIS as a scientific report. The 5 suggestions were : 1) impact prediction should be described by quantitative measurement; 2) In establishing the time frame of the impact and the referent populatioin influenced by the impact, the characteristics of the proposed action should be carefully considerd; 3) the significance of the predicted impact should be quantitatively described; 4) specific description should also be used in the likelihood or the probability of the predicted impact in a real world; 5) equal emphasis should be put on the three environment, including natural and social as well as living environment.

• Asia Marketing Journal
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• v.21 no.4
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• pp.77-89
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• 2020

Population-level learning has traditionally been used to provide an explanation for the underlying mechanism of industry change. But it has yet to examine the impact on strategic decisions such as market entry. This conceptual paper aims to provide an insight into how population-level learning affects entry likelihood by acting as a tool for interpreting population-level changes. We study this in the context of the fast-paced mobile gaming industry where population-level information is salient and develop a set of propositions with regard to the likelihood of entry.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.91-97
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• 2023

Ensuring the safe arrival of delivery cargo at its intended destination is of utmost importance. Truck drivers play a crucial role in guaranteeing the secure delivery of cargo without any mishaps. However, there are various factors that may lead to delayed arrival of trucks at their destination, such as late departures or prolonged loading operations. The timely departure of cargo transportation is contingent upon several variables, including the driver's experience, cargo volume, and loading time. If the transportation commencement is delayed, it may increase the risk of accidents due to an elevated operating speed. Consequently, we conducted a study to investigate the correlation between cargo loading time, cargo volume, driving experience, and the likelihood of accidents. Our findings indicate that both cargo volume and driver experience can impact the likelihood of vehicle accidents. Furthermore, all factors can have an interactive effect on the occurrence of accidents. However, extending the loading time may mitigate the impact on the likelihood of accidents.

• Communications for Statistical Applications and Methods
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• v.27 no.1
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• pp.97-108
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• 2020

This paper compares several methods for estimating parameters of normal inverse Gaussian distribution. Ordinary maximum likelihood estimation and the method of moment estimation often do not work properly due to restrictions on parameters. We examine the performance of adjusted estimation methods along with the ordinary maximum likelihood estimation and the method of moment estimation by simulation and real data application. We also see the effect of the initial value in estimation methods. The simulation results show that the ordinary maximum likelihood estimator is significantly affected by the initial value; in addition, the adjusted estimators have smaller root mean square error than ordinary estimators as well as less impact on the initial value. With real datasets, we obtain similar results to what we see in simulation studies. Based on the results of simulation and real data application, we suggest using adjusted maximum likelihood estimates with adjusted method of moment estimates as initial values to estimate the parameters of normal inverse Gaussian distribution.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.241-250
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• 2020

This study examines the relationship between the attributes of board structure and the likelihood of financial distress for the non-financial sector of an emerging market characterized by concentrated ownership and family-controlled business. The present study utilized panel logistic regression to estimate the relationship between board structure attributes and the likelihood of financial distress. We used Altman Z-Score as a proxy for firm financial distress, as this tool measures the financial distress inversely. The study finds a significant relationship between board size and the likelihood of financial distress. The results show that a one-unit increase in board size would decrease the probability of financial distress by 3.4%. Further, we observe that a greater level of board independence is associated with a lower likelihood of financial distress. A one-unit increase in board independence would decrease the probability of financial distress by 20.4%. We also find a significant positive impact of leverage on the likelihood of financial distress. The present study contributes to the body of literature on board structure attributes and likelihood of financial distress in emerging markets, like Pakistan. Furthermore, the findings would be beneficial for corporate policymakers and investors in formulating corporate financial strategy and predicting business failure.

• Journal of Korea Water Resources Association
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• v.52 no.2
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• pp.125-132
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• 2019

In this study, we developed a heavy rainfall risk impact matrix, which can be used to evaluate the influence of heavy rainfall risk, and propose a method to evaluate the impact of heavy rainfall risk. We evaluated the heavy rainfall risk impact for each receptor (Residential, Transport, Utility) on Sadang-dong using the heavy rainfall event on July 27, 2011. For this purpose, the potential risk impact was calculated by combining the impact level and the rainfall depth based on the grid. Heavy Rainfall Risk Impact was calculated by combining with Likelihood to predict the heavy rainfall impact, and the degree of heavy rainfall in the Sadang-dong area was analyzed and presented based on grid.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.2
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• pp.371-391
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• 2023

This study examines the impact of live commerce characteristics on customer responses in the ELM perspective. Based on ELM, the central route is composed of information completeness, accuracy, and currency, and the peripheral route is composed of streamer credibility, streamer reputation, social presence, and system quality. An online survey of female customers aged 20 to 49 who have purchased beauty products through live commerce within the past three months was conducted. The results demonstrate that information completeness and information currency exert significant impact on perceived usefulness and enjoyment. Social presence and system quality also exert significant impact on perceived usefulness and enjoyment. Moreover, perceived usefulness and enjoyment had significant impact on behavioral intention. The effect of information completeness on perceived usefulness and enjoyment was much stronger for high product involvement groups. Furthermore, the effect of streamer reputation on perceived enjoyment was much stronger for high product involvement groups. In contrast, the effect of social presence on perceived usefulness and enjoyment was much stronger for low product involvement groups. This study suggests theoretical implications for applying ELM to live commerce and practical implications for differentiated live commerce marketing strategies.

• The Korean Journal of Emergency Medical Services
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• v.19 no.3
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• pp.51-68
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• 2015

Purpose: This study validated the influential relations between the effects of emergency care quality, credibility of 119 emergency medical technicians (119 EMTs), and perceived usefulness and attitude of emergency care, focusing on the moderating effect of protectors' characteristics (education, experience, age, and recognition of patient severity). Methods: This study was based on elaboration likelihood and technology acceptance models. In total, 172 protectors with experience in utilizing prehospital service were surveyed from April 1 to July 31, 2011. Results: The results showed that the emergency care quality and the credibility of 119 EMTs were the main determinants of the perceived usefulness and attitude of emergency care, irrespective of the protector's characteristics (p <.001). In addition, the findings showed that the protector's intention of emergency care had a moderating role. The impact of the quality of emergency care on its perceived usefulness was greater for high-level protectors (p <.001). By contrast, the impact of the credibility of 119 EMTs on the perceived usefulness of emergency care was greater for low-level protectors (p <.001). Conclusion: The protectors' characteristics have different influences on the relations between the effects of emergency care quality, the 119 EMT credibility, and the perceived usefulness and attitude of emergency care.

• International Journal of Contents
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• v.9 no.2
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• pp.38-47
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• 2013

We examine whether the attributes of patented knowledge have any impact on its chances of commercialization. It has been hypothesized that the scope and cumulativeness of patented knowledge would positively affect the likelihood of its commercialization. The hypotheses were tested using patents data on the US biotechnology and pharmaceutical industries. We found support for the prediction that the scope of patented knowledge increases the likelihood of commercialization, but we didn't find support for the cumulativeness aspect. These findings have important implications for firms that develop patentable knowledge, license-out patents, license-in patents from external sources, or debate about patenting strategy.

• Journal of Digital Convergence
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• v.6 no.1
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• pp.63-73
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• 2008

The present study attempted to explore effective scanning and monitoring in process of risk management on agri-marine products distribution policy. The interest public's group interests clash in accordance with theme for issue on marking policy. For executing a better systematic scanning and monitoring on actual affairs of marketing, selecting information personnel, gathering and analysing information, issue and risk management and their valuation with ongoing and simultaneously. Especially, In order to explore effective scanning and monitoring as a model of risk management, the study attempted to analyze within and without environment of marketing, to analyze issue management strategy, to evaluate issue activity for likelihood and impact, risk cycle analysis, interest public's group concerned, grade of interest public's group threatened(power, legitimacy, willingness), rapport(staying close, credibility, meeting expectation). And the study make an ongoing observation progress of subjects, and the serious subjects need have made an close observation. The study suggested to establish friendly relationship between organization and interest public's group, and to regularly accomplish two-way symmetric communication.