• Title/Summary/Keyword: model factor

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Analyzing the Determinants of Online Seafood Purchasing Using Heckman's Ordered Probit Sample-Selection Model (Heckman 순서형 프로빗 모형을 이용한 소비자의 온라인 수산물 구매 결정요인 분석)

  • Heon-Dong Lee
    • The Journal of Fisheries Business Administration
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    • v.55 no.1
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    • pp.37-53
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    • 2024
  • In the post-COVID-19, the food industry is rapidly reshaping its market structure toward online distribution. Rapid delivery system driven by large distribution platforms has ushered in an era of online distribution of fresh seafood that was previously limited. This study surveyed 1,000 consumers nationwide to determine their online seafood purchasing behaviors. The research methodology used factor analysis of consumer lifestyle and Heckman's ordered probit sample-selection model. The main results of the analysis are as follows. First, quality, freshness, selling price, product reviews from other buyers, and convenience are particularly important considerations when consumers purchase seafood from online shopping. Second, online retailers and the government must prepare measures to expand seafood consumption by considering household characteristics and consumer lifestyles. Third, it was analyzed that consumers trust the quality and safety of seafood distributed online platforms. It is not possible to provide purchase incentives to consumers who consider value consumption important, so improvement measures are needed. The results of this study are expected to provide implications on consumer preferences to online platforms, seafood companies, and producers, and can be used to establish future marketing strategies.

Analysis of Factors Affecting Regional Total Fertility Rate: Using a Model Considering Cross-sectional Dependence (지역 합계출산율에 영향을 미치는 요인 분석: 횡단면 의존성을 고려한 모형을 이용하여)

  • So-Youn Kim;Su-Yeol Ryu
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.335-352
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    • 2024
  • Purpose - Low fertility rate is a serious problem, and this study analyzes factors affecting total fertility rate using panel data from 16 metropolitan cities and provinces in Korea from 2000 to 2022. Design/methodology/approach - Estimating the SAR model considering the weak cross-sectional dependence that exists in variables related to the regional total fertility rate, and using the DKSE estimation method considering the strong cross-sectional dependence. Findings - Estimation results considering weak and strong cross-sectional dependence were similar, confirming the robustness of the results. Female labor force participation rate has a positive effect on total fertility rate, and employment rate has no effect. However, the interaction term is a negative (-) sign. Crude marriage rate has a positive effect on total fertility rate, and apartment price has a slightly positive effect. Environmental factor has no effect, and policy factor has a negative effect. Research implications or Originality - In order for an increase in the female labor force participation rate to lead to an increase in the total fertility rate, qualitative improvements in female employment must be made. Financial investment policies for childbirth must increase their effectiveness. The problem of low fertility rate requires not only population policy but also social, economic, cultural, environmental, and policy conditions to be considered.

Animal Model for the Evaluation of Repair of Injured Inferior Alveolar Nerve with Nerve Growth Factor

  • Lee, Jae-Yoon;Park, Suhyun;Heo, Hyun-A;Pyo, Sung-Woon
    • Journal of Korean Dental Science
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    • v.6 no.2
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    • pp.58-66
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    • 2013
  • Purpose: The inferior alveolar nerve (IAN) can be damaged as a result of minor oral surgical procedure such as third molar extraction or implant placement. Repair of the injured IAN involves difficulty of access, and research studies are limited to elucidating the process of regeneration by surgical methods. This study sought to establish the rabbit animal model to apply polymeric membrane functionalized with nerve growth factor after a crush lesion for the evaluation of nerve regeneration using the electrophysiologic method. Materials and Methods: The IAN of 2 adult male New Zealand white rabbits (4 nerves) were exposed bilaterally, and crush injury rendered by jeweler's forceps was applied. Nerve conduction velocity was examined electrophysiologically using electromyography before, after, and 4 weeks after the crush injury. To evaluate the regeneration, the pattern of action potential of IAN was recorded, and the characteristics of neurons were histologically observed. Result: After the crush injury, afferent activity decreased in the injured group. Electromyography could not be recorded after four weeks because tissues surrounding the injured nerve collapsed. Decrease in the mean number of axons was observed in the injured part with membrane. Conclusion: Despite the limited result, the present animal model study may provide a possible way to research on the methods of enhancing the recovery of nerve injuries in clinical situations. For clinically widespread acceptance, however, it should gain more consecutive and scientific evidences.

Damage constitutive model of brittle rock considering the compaction of crack

  • Gu, Qingheng;Ning, Jianguo;Tan, Yunliang;Liu, Xuesheng;Ma, Qing;Xu, Qiang
    • Geomechanics and Engineering
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    • v.15 no.5
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    • pp.1081-1089
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    • 2018
  • The deformation and strength of brittle rocks are significantly influenced by the crack closure behavior. The relationship between the strength and deformation of rocks under uniaxial loading is the foundation for design and assessment of such scenarios. The concept of relative crack closure strain was proposed to describe the influence of the crack closure behavior on the deformation and strength of rocks. Considering the crack compaction effect, a new damage constitutive model was developed based on accumulated AE counts. First, a damage variable based on the accumulated AE counts was introduced, and the damage evolution equations for the four types of brittle rocks were then derived. Second, a compaction coefficient was proposed to describe the compaction degree and a correction factor was proposed to correct the error in the effective elastic modulus instead of the elastic modulus of the rock without new damage. Finally, the compaction coefficient and correction factor were used to modify the damage constitutive model obtained using the Lemaitre strain equivalence hypothesis. The fitted results of the models were then compared with the experimental data. The results showed that the uniaxial compressive strength and effective elastic modulus decrease with an increase in the relative crack closure strain. The values of the damage variables increase exponentially with strains. The modified damage constitutive equation can be used to more accurately describe the compressive deformation (particularly the compaction stage) of the four types of brittle rocks, with a coefficient of determination greater than 0.9.

Analysis on a Structural Equation Model of e-Piracy Causes (e-저작권침해 원인에 대한 구조방정식모델 분석)

  • Yoo, Sang-Mi;Kim, Mi-Ryang
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.145-156
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    • 2011
  • The purpose of the study is to analyze the factors which cause the deviations of e-piracy. For this, empirical data were collected by conducing a field survey with a total of 531 collegians, and a Structural Equation Model was used for the purpose of analyzing the data acquired by that. A Structural Equation Model was designed and constructed by such factors as Anonymous Environment, Norm-Consciousness, and Recognition on Penalty, which are considered as the direct variables. In addition, the factor of Anonymous Environment was set as a variable for the factors of both Norm-Consciouness and Recoginition on Penalty. These are the results of the analysis; it is found that Anonymous Environment is the direct cause of e-piracy, but the other two factors are not statistically significant. And it is also found that Anonymous Environment gives a direct influence on the other factors of Norm-Consciousness and Recognition on Penalty and it also gives indirect influence on the factor of Recognition on Penalty by means of the factor of Norm-Consciousness. Therefore, in order to prevent e-piracy, it is required to provide the proper opportunity to be trained to observe norms under the environment of anonymity. For this, diverse and effectual teaching methods for information ethic education should be sought.

Power Prediction of P-Type Si Bifacial PV Module Using View Factor for the Application to Microgrid Network (View Factor를 고려한 마이크로그리드 적용용 고효율 P-Type Si 양면형 태양광 모듈의 출력량 예측)

  • Choi, Jin Ho;Kim, David Kwangsoon;Cha, Hae Lim;Kim, Gyu Gwang;Bhang, Byeong Gwan;Park, So Young;Ahn, Hyung Keun
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.31 no.3
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    • pp.182-187
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    • 2018
  • In this study, 20.8% of a p-type Si bifacial solar cell was used to develop a photovoltaic (PV) module to obtain the maximum power under a limited installation area. The transparent back sheet material was replaced during fabrication with a white one, which is opaque in commercial products. This is very beneficial for the generation of more electricity, owing to the additional power generation via absorption of light from the rear side. A new model is suggested herein to predict the power of the bifacial PV module by considering the backside reflections from the roof and/or environment. This model considers not only the frontside reflection, but also the nonuniformity of the backside light sources. Theoretical predictions were compared to experimental data to prove the validity of this model, the error range for which ranged from 0.32% to 8.49%. Especially, under $700W/m^2$, the error rate was as low as 2.25%. This work could provide theoretical and experimental bases for application to a distributed and microgrid network.

Variable Emission Factor Prediction Model for An Air Quality Assessment of Transportation Projects (교통사업의 대기질 평가를 위한 가변적 배출계수 예측모형)

  • Lee, Gyu-Jin;Choe, Gi-Ju;Yu, Jeong-Hun;O, Se-Chang
    • Journal of Korean Society of Transportation
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    • v.29 no.6
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    • pp.117-128
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    • 2011
  • In this study, a model is developed to predict emission factors, which aims to objectively evaluate the impact of transport projects on air quality. Two emission prediction models for the years of 2015 and 2030 are developed using the historical trends in vehicle aging and vehicle deterioration factors. The analysis results show that the emission factors under the operating speed of 30km/h for the year 2030 are 5~37% and 2~83% less than those used in the current studies for passenger cars and bus/trucks, respectively. The statistically validated experiment results demonstrate the applicability of the proposed model to evaluation of the impact of transport policies on air quality.

Validity Verification of ARCS Evaluation Models for Promoting University Students' Learning Motivation (대학생의 학습동기 촉진을 위한 ARCS 평가모형의 타당화 검증)

  • Kim, Mi-Rye
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.77-91
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    • 2017
  • Due to the lack of learning motivation, there is a need to seek ways to facilitate learning incentives because it's causing drop out and maladjustment of university life. This study is to examine whether the ARCS evaluation model developed by Keller (1983) is a valid model for evaluating the motivation level of local university students sample 276(male 116, female 157) in the Republic of Korea. To analyze the data, average statistic, one-way ANOVA and confirmative factor analysis were used. The conclusion of this study is as follows. First, the level of motivation per ARCS factor has demonstrated the highest relevance factor. Second, the level of motivation by the ARCS for the 1st and 3rd graders was appropriate. Differences in 'attention' and 'relevance' have only been observed for each year, and the 1st grade group was found to be larger than the 2nd grade cohort. Third, construct validity and convergent validity were obtained for measuring the level of motivation. The results of the verification of the variables also showed that the AVE and CR were met, and the model fit well was satisfactory. Based on the finding results, discussion and implication for further research were suggested.

Factors Influencing on Continuous Usage Intention of Smartphone Based on the TAM (Technology Acceptance Model) (기술수용모델 기반 스마트폰 지속사용의도에 미치는 영향)

  • Nam, Soo-Tai;Jin, Chan-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.11
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    • pp.2076-2082
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    • 2017
  • Users of Smartphone in Korea are using the majority of the economically active population over 99% and experts have seen that they have reached saturation after the initial formation stages. The purpose of this study is to investigate the influencing factors of dominant design attributes on the intention of continuous use of Smartphone users. Predictor factors were selected perceived usefulness and perceived ease of use suggested on extended the technology acceptance model. The concept model was completed by selecting the dominant design attribute as a mediator. Participants of this study were 135 Smartphone users in Busan Gyeongnam and Iksan Jeonbuk province in accordance with convenience sampling. IBM SPSS Statistics 19 were employed for descriptive statistics, Smart PLS (partial least squares) was employed for confirmatory factor analysis and path analysis of casual relationship among variables. Therefore, when moderating mediated factor of dominant design and attitude, factor of continuous usage intention showed 76% explanatory power.

Comparison of Soil Loss Estimation using SWAT and SATEEC (SWAT과 SATEEC 모형을 이용한 토양유실량 비교)

  • Park, Youn-Shik;Kim, Jong-Gun;Heo, Sung-Gu;Kim, Nam-Won;Lim, Kyung-Jae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.1295-1299
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    • 2008
  • Soil erosion is a natural process and has been occurring in most areas in the watershed. However, accelerated soil erosion rates have been causing numerous environmental impacts in recent years. To reduce soil erosion and sediment inflow into the water bodies, site-specific soil erosion best management practices (BMPs) need to be established and implemented. The most commonly used soil erosion model is the Universal Soil Loss Equation (USLE), which have been used in many countries over 30 years. The Sediment Assessment Tool for Effective Erosion Control (SATEEC) ArcView GIS system has been developed and enhanced to estimate the soil erosion and sediment yield from the watershed using the USLE input data. In the last decade, the Soil and Water Assessment Tool (SWAT) model also has been widely used to estimate soil erosion and sediment yield at a watershed scale. The SATEEC system estimates the LS factor using the equation suggested by Moore and Burch, while the SWAT model estimates the LS factor based on the relationship between sub watershed average slope and slope length. Thus the SATEEC and SWAT estimated soil erosion values were compared in this study. The differences in LS factor estimation methods in the SATEEC and SWAT caused significant difference in estimated soil erosion. In this study, the difference was -51.9%(default threshold)$\sim$-54.5%(min. threshold) between SATEEC and non-patched SWAT, and -7.8%(default threshold)$\sim$+3.8%(min. threshold) between SATEEC and patched SWAT estimated soil erosion.

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