• Title/Summary/Keyword: contingency analysis

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Omnichannel's Perception Effect on Omnichannel Use and Customer-Brand Relationship (옴니채널의 지각된 편리성과 유용성이 옴니채널 사용과 소비자-브랜드 관계에 미치는 영향)

  • Yim, Duk-Soon;Han, Sang-Seol
    • Journal of Distribution Science
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    • v.14 no.7
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    • pp.83-90
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    • 2016
  • Purpose - This study focuses on new type distribution channel that named as Omnichannel. Omnichannel is developed from Multichannel which is used in many distribution channels to buy or selling goods. Omnichannel basically needs an Information and Communications Technologies(ICT) to use, so researcher conduct a Technology Acceptance Model(TAM) to research model. Customer-brand relationship was used as dependent variable to focus on the role of Omnichannel. Research design, data, and methodology - The subject of this study is customer who purchase goods or service through omnichannel. Based on the literature from the preceding research analysis of TAM and customer-brand relationship, this study was constructed by the reference to previous studies, final research model design for figure out casual relationship among perceived ease of use, perceived usefulness, omnichannel use and customer-brand relationship. From 2016 February 3 to March 17, questionnaire survey targeted customers who use online and offline channels. 273 questionnaire survey had conducted, then, 252 survey data were available for empirical analysis. Researcher provide descriptive statistics for checking generality. Cronbach's alpha value was used to check the reliability of data. Exploratory factor analysis was used for purification of values and eigenvalue checking. After EFA, Confirmatory factor analysis was used to prepare structural equation modeling with executing structural equation modeling for confirming hypothesis which developed by researcher. Results - The main results of this empirical study are as follows. First, omnichannel's perceived ease of use has positive significant effect on perceived usefulness(estimate: 0.579). Moreover, omnichannel's perceived ease of use and perceived usefulness has positive significant effect on omnichannel use(estimate: 0.325,0.648). Second, using omnichannel has positive significant effect on brand-customer relationship(estimate: 0.521). Every hypothesis adopted as researcher designed. This study found out the intermediate relationship between perceived ease of use and omnichannel use by investigating hypothesis. Conclusions - Base on the empirical result, this study confirmed that TAM theory perceived has relation with omnichannel. First, factors of TAM has positive effect on omnichannel use, so it highlights the important role of customer based interface and usefulness. Especially, perceived usefulness has high indirect influence on ease of use and use of omnichannel. It seems that when customers try to decide use or not use omnichannel, customers focus on percept benefits from omnichannel. Thus, a provider should applicate attractive price table, accurate product or service information and high switching cost strategy to emphasize the usefulness of omnichannel. Second, using omnichannel enhances the relationship between customers and brand, because there are more time and frequency to serve customers. It is important because good relationship between customers can increase the future's financial performance through word of mouse, positive brand image and loyalty to brand or company. Finally, despite of empirical result and implications, this study has limitations. First, there are only a few previous studies about omnicahnnel, so literature reviews are restricted. While set up the factors which can affect the use of omnichannel, next study should be considered with broader theories or models(ex: contingency theory). Second, omnichannel has developed from multichannel, so comparative analysis is needed between these methods because there is a possibility about different forte character of each distribution system on customer's consuming patterns.

Risk Assessment of the Road Cut Slopes in Gyeoungnam based on Multiple Regression Analysis (다중회귀분석을 통한 경남 지방도로 절취사면의 안정성평가)

  • Kang, Tae-Seung;Um, Jeong-Gi
    • The Journal of Engineering Geology
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    • v.17 no.3
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    • pp.393-404
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    • 2007
  • The purpose of this study is to capture the essentials in survey and evaluation scheme which are able to assess the hazard of a rock slope systematically. Statistical analysis are performed on slope instability parameters related to failure of the rock slope. As the slope instability parameters, twelve survey items are considered such as tension crack, surface deformation, deformation of retaining structures, volume of existing failures, angles between strike of discontinuity and strike of cut slope face, angles between dip of discontinuity and dip of cut slope face, discontinuity condition, cut slope angle, rainfall or ground water level, excavation condition, drainage condition, reinforcement. A total of 233 road cut slopes located in Gyeongnam were considered. The stability of the road cut slopes were evaluated by estimating the slope instability index(SII) and corresponding stability rank. 126 rock slopes were selected to analyze statistical relation between SII and slope instability parameters. The multiple regression analysis was applied to derive statistical models which are able to predict the SII and corresponding slope stability rank. Also, its applicability was explored to predict the slope failures using the variables of slope instability parameters. The results obtained in this study clearly show that the methodology given in this paper have strong capabilities to evaluate the failures of the road cut slope effectively.

Comparison of patient satisfaction with digital and conventional impression for prosthodontic treatment (보철 치료 시 디지털 및 전통적 인상채득에 대한 환자 만족도 비교 연구)

  • Yoon, Hyung-In;Lee, Su-Min;Park, Eun-Jin
    • The Journal of Korean Academy of Prosthodontics
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    • v.54 no.4
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    • pp.379-386
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    • 2016
  • Purpose: The present study aims at researching the subjective satisfaction of patients who have experienced both conventional impression taking and digital impression taking to measure the possibility of wide clinical application of digital impression. Materials and methods: The study surveyed 170 adult patients over the age of 20, between October 2015 and April 2016, who voluntarily consented to participation and who experienced both conventional impression and digital impression at five dental hospitals that use intraoral digital impression. A total of 128 surveys were used for data analysis, involving frequency analysis, multiple response frequency analysis, descriptive statistics, and contingency table analysis, with the significance level set at 0.05. Results: Responses on the reason for taking impressions using the digital method appeared in the order of 'for implant treatment' (43.8%), 'for crown treatment' (30.5%), and 'for inlay treatment' (15.6%). Patients satisfaction was higher for digital impression taking than conventional impression taking (P<.05). As the preferred choice of impression, digital impression (60.2%) was higher than conventional impression (11.7%). Responses on the reason for choosing digital impression taking appeared in the order of 'no vomiting reflex' (35.1%), 'reliability of 3D digital scanning' (33.8%), and 'short time' (33.8%). Conclusion: The patients preferred digital impression taking to conventional impression taking in terms of satisfaction.

Statistical Analysis of Quality Control Data of Blood Components (혈액성분제제 품질관리 자료의 통계학적인 비교)

  • Kim, Chongahm;Seo, Dong Hee;Kwon, So Yong;Oh, Yuong Chul;Lim, Chae Seung;Jang, Choong Hoon;Kim, Soonduck
    • Korean Journal of Clinical Laboratory Science
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    • v.36 no.1
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    • pp.19-26
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    • 2004
  • According to increase of domestic blood components use, the quality control of blood components is necessary to support good products. The purpose of this study is used to provide the producing index of the good product as compared with the accuracy and validity for the distribution of the quality control data. The value of mean, standard deviation, 95% confidence interval and degree of normal distribution of data were calculated by univariate procedure, the value of monthly mean of each blood centers per items were compared by Analysis of Variance(ANOVA) test for the degree of distribution. When there was difference among the mean values, the Duncan's multiple range test was done to confirm the difference. Finally, methods for accessing accuracy and validity of the quality data was done by the Contingency table test. The quality data of five blood centers was showed to the normal distribution and it was in a acceptable range. For each blood centers, the monthly means of Hematocrit(Hct), Platelet(PLT) and pH were not significantly different except Hct of C center, PLT of B, D center and pH of A center. The quality data per items was graded according to quality to six level. As a result of the comparative analysis, the monthly means of Hct of C and E center was significantly different higher than that of D, B and A center. The monthly means of PLT of A center and pH of C center was significantly different higher than that of the others. In the accuracy and validity of the quality control data, C center for Hct, A center for PLT and C center for pH were better than the other. The C blood center was most satisfiable and stable in the quality control for blood component. If the quality control method used in C blood center is adopted in other blood centers, the prepared level of the blood component of the center will be improved partly.

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Flood Disaster Prediction and Prevention through Hybrid BigData Analysis (하이브리드 빅데이터 분석을 통한 홍수 재해 예측 및 예방)

  • Ki-Yeol Eom;Jai-Hyun Lee
    • The Journal of Bigdata
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    • v.8 no.1
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    • pp.99-109
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    • 2023
  • Recently, not only in Korea but also around the world, we have been experiencing constant disasters such as typhoons, wildfires, and heavy rains. The property damage caused by typhoons and heavy rain in South Korea alone has exceeded 1 trillion won. These disasters have resulted in significant loss of life and property damage, and the recovery process will also take a considerable amount of time. In addition, the government's contingency funds are insufficient for the current situation. To prevent and effectively respond to these issues, it is necessary to collect and analyze accurate data in real-time. However, delays and data loss can occur depending on the environment where the sensors are located, the status of the communication network, and the receiving servers. In this paper, we propose a two-stage hybrid situation analysis and prediction algorithm that can accurately analyze even in such communication network conditions. In the first step, data on river and stream levels are collected, filtered, and refined from diverse sensors of different types and stored in a bigdata. An AI rule-based inference algorithm is applied to analyze the crisis alert levels. If the rainfall exceeds a certain threshold, but it remains below the desired level of interest, the second step of deep learning image analysis is performed to determine the final crisis alert level.

A Study on the Improvement of Survival Rate of the Passengers and Crews according to FDS Analysis (FDS 분석을 통한 승객 및 선원 생존율 향상에 대한 연구)

  • Kim, Won Ouk;Kim, Jong Su;Park, Woe Chul
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.3
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    • pp.312-317
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    • 2015
  • Seafarers can confront to evacuate from the ship with many reasons such as collision, grounding and fire accident. It believes that evacuation time from ship is very important element in order to increase survival rate in the contingency circumstance, however narrow and complex structure of ship is one of obstacle element against prompt evacuation. Taking into consideration the unique structure of ship compared to the structure of other facilities, speed of fire propagation on board ship is faster than the same size of other type facilities. Therefore, measures to prompt evacuation are required. But it comes with the behavioral constraints of the crews and passengers of the nature of operating in a complex structure with narrow vessels. Therefore, in this study, we propose a formula to be analyzed by theoretical approach and simulation methods to improve the survival rate for the crew and passenger of the ship through the ship's structural modification. We analyzed the temperature rise and visibility which are the most influential effects on the life safety in the event of fire by using a three-dimensional analysis of sight-only program Fire Dynamic Simulator (FDS) as analytical tools.

Therapeutic Compliance and Its Related Factors of Patients with Hypertension in Rural Area (농촌지역 주민의 고혈압 치료순응도와 관련요인)

  • Lee, Sang-Won;Chun, Byung-Yeol;Yeh, Min-Hae;Kang, Yun-Sik;Kim, Keon-Yeop;Lee, Young-Sook;Park, Ki-Soo;Son, Jae-Hee;Oh, Hee-Sook;Ahn, Moon-Young;Lim, Pu-Dol;Kam, Sin
    • Journal of Preventive Medicine and Public Health
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    • v.33 no.2
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    • pp.215-225
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    • 2000
  • Objective : The purpose of this study was to examine the therapeutic compliance and its related factors in the rural hypertensives. Method : A questionnaire survey and blood pressure measurement were performed to 3,876 residents of a rural area, and 660 hypertensives were selected as subjects of study. The study employed a hypothetical model which was composed of constructs from the health belief model and KAP model. The analysis techniques employed included contingency table analysis and structural equation modeling. Result : The proportion of those who were compliant to the treatment of hypertension was 44.2% of subjects. As the result of structural equation modeling, when patients had more favorable attitude toward treatment, higher perceived benefit, or lower perceived barriers to treatment, the therapeutic compliance was significantly higher(T>2.0). When patients had more knowledge about hypertension, or higher perceived severity of hypertension, the attitude toward the treatment of hypertension was more favorable significantly(T>2.0). And when patients had the support for treatment from family or neighbor, the attitude toward treatment was more favorable(T>2.0). When patients had experience of health education, they had more knowledge, higher perceived susceptibility of complication, perceived severity for hypertension, and perceived benefit of treatment, compare to patients without health education(T>2.0). Conclusion : In consideration of above findings, in order to improve the therapeutic compliance in the rural hypertensives, it would be necessary to change attitude, perception, knowledge about hypertension and its treatment, by various methods such as effective health education and programs for maintaining the supportive environment for hypertension treatment.

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Development of Evaluation Model for ITS Project using the Probabilistic Risk Analysis (확률적 위험도분석을 이용한 ITS사업의 경제성평가모형)

  • Lee, Yong-Taeck;Nam, Doo-Hee;Lim, Kang-Won
    • Journal of Korean Society of Transportation
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    • v.23 no.3 s.81
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    • pp.95-108
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    • 2005
  • The purpose of this study is to develop the ITS evaluation model using the Probabilistic Risk Analysis (PRA) methodology and to demonstrate the goodness-of-fit of the large ITS projects through the comparative analysis between DEA and PRA model. The results of this study are summarized below. First, the evaluation mode] using PRA with Monte-Carlo Simulation(MCS) and Latin-Hypercube Sampling(LHS) is developed and applied to one of ITS projects initiated by local government. The risk factors are categorized with cost, benefit and social-economic factors. Then, PDF(Probability Density Function) parameters of these factors are estimated. The log-normal distribution, beta distribution and triangular distribution are well fitted with the market and delivered price. The triangular and uniform distributions are valid in benefit data from the simulation analysis based on the several deployment scenarios. Second, the decision making rules for the risk analysis of projects for cost and economic feasibility study are suggested. The developed PRA model is applied for the Daejeon metropolitan ITS model deployment project to validate the model. The results of cost analysis shows that Deterministic Project Cost(DPC), Deterministic Total Project Cost(DTPC) is the biased percentile values of CDF produced by PRA model and this project need Contingency Budget(CB) because these values are turned out to be less than Target Value(TV;85% value), Also, this project has high risk of DTPC and DPC because the coefficient of variation(C.V) of DTPC and DPC are 4 and 15 which are less than that of DTPC(19-28) and DPC(22-107) in construction and transportation projects. The results of economic analysis shows that total system and subsystem of this project is in type II, which means the project is economically feasible with high risk. Third, the goodness-of-fit of PRA model is verified by comparing the differences of the results between PRA and DEA model. The difference of evaluation indices is up to 68% in maximum. Because of this, the deployment priority of ITS subsystems are changed in each mode1. In results. ITS evaluation model using PRA considering the project risk with the probability distribution is superior to DEA. It makes proper decision making and the risk factors estimated by PRA model can be controlled by risk management program suggested in this paper. Further research not only to build the database of deployment data but also to develop the methodologies estimating the ITS effects with PRA model is needed to broaden the usage of PRA model for the evaluation of ITS projects.

Analyzing Characters and Designing Actions to Feature - Sarafanov of Written by A. B. Vampilov (형상화를 위한 인물분석과 행동설계 - A. B. 밤필로프 작 <장남>의 사라파노프)

  • Cheon, Hyo-Bum
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.79-88
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    • 2014
  • Vampilov, who is not well known as a playwright in domestic, is acknowledged comparable to Anton Chekhov in Russia. This paper was planed in order to promote a unsatisfied study until now in domestic for works by Vampilov and studied a part of composing play to put on the stage for , a drama written by Vampilov. This paper, originated from a viewpoint that actor have to complete the final text of the play for audiences to read depending on the drama and based on work features and characters of Vampilov, established an analysis scheme according to segments of unit actions for actions of Sarafanov, the character of the play, in order to achieve a purpose under suggested situation at the drama and focused on completing purposes per units individually. We have analyzed Sarafanov and his actions referring patterns and probabilities of the characters in the other works by Vampiov and regarded it as the important item together with logical basis of actions. Lyric and humanism emphasizing works by Vampilov, affected by Anton Chekhov and Nikolai Vasilevich Gogol, are acknowledged as realistic descriptions using contingency and a play within a play outstandingly and emphasized an importance of human relation. We have selected as a primary way to compose action text that audiences would read on the stage and used it as the method to design action of the characters in order to activate natural good of Sarafanov and general absurdities that human, does creative works, never give up purposes of ideal life.

Determination of drought events considering the possibility of relieving drought and estimation of design drought severity (가뭄해갈 가능성을 고려한 가뭄사상의 결정 및 확률 가뭄심도 산정)

  • Yoo, Ji Young;Yu, Ji Soo;Kwon, Hyun-Han;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.49 no.4
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    • pp.275-282
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    • 2016
  • The objective of this study is to propose a new method to determine the drought event and the design drought severity. In order to define a drought event from precipitation data, theory of run was applied with the cumulative rainfall deficit. When we have a large amount of rainfall over the threshold level, in this study, we compare with the previous cumulative rainfall deficit to determine whether the drought is relieved or not. The recurrence characteristics of the drought severity on the specific duration was analyzed by the conditional bivariate copula function and confidence intervals were estimated to quantify uncertainties. The methodology was applied to Seoul station with the historical dataset (1909~2015). It was observed that the past droughts considered as extreme hydrological events had from 10 to 50 years of return period. On the other hand, the current on-going drought event started from 2013 showed the significantly higher return period. It is expected that the result of this study may be utilized as the reliable criteria based on the concept of return period for the drought contingency plan.