• Journal of Distribution Science
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• v.13 no.11
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• pp.59-67
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• 2015

Purpose - The number of consumers adopting a lifestyle of health and sustainability has recently increased with the rise of trends in healthy living. The size of the organic agricultural product market has also increased given that these consumers prefer consuming environmentally friendly products that promote family health. However, awareness of organic agricultural products remains insufficient because of the characteristics of the Korean organic agriculture system, which only focuses on food safety inspection. The object of this research is to suggest a policy approach to increase understanding and to expand the purchasing of organic agricultural products by analyzing the influence of customer recognition of such products on their willingness to repurchase. Research design, data, and methodology - This study used binomial logistic regression analysis with the aim of explaining the effects of consumers' socio-demographic characteristics, their awareness of the equivalence arrangement for organic food and of the abolishment of low-pesticide agricultural product certification, and their viewing of negative broadcasts about organic agricultural products on their repurchase intention of such products. A questionnaire survey was conducted with 655 respondents who were in their 20s, lived either in Seoul or in its metropolitan area, and had purchased organic agricultural products. Result - From the results of the analysis, the majority of the respondents recognized organic agricultural products, but they found their prices to be expensive. The majority of the respondents were also aware of the certification system and the reliability of organic agricultural products. However, the results indicate that efforts need to be made to recover consumer trust as many respondents stated that their trust levels in these products were low. In general, those purchasing organic agricultural products were satisfied, but those answering "very satisfied" were not in the majority. Binomial logistic regression analysis results revealed that repurchase intention decreased as consumers viewed a greater number of negative broadcasts about these products. On the other hand, repurchase intention increased as they became more aware of the abolishment of low-pesticide certification. Repurchase intention also increased as income increased, as the number of family members decreased, and when a consumer was a member of a consumer organization. In addition, the older the consumers were who watched the TV programs, the smaller the number of family members that were aware of the abolishment of low-pesticide agricultural product certification and, the higher the income of the consumers aware of organic equivalence arrangement, the greater their repurchase intention. Conclusion - External stimuli, such as negative TV programs on organic agricultural products and the abolishment of the low-pesticide agricultural product certification, relevant social issues and systems, influence consumer repurchase intention. To that end, positive environmental and ecological broadcasting about organic agricultural products would contribute to an increase in purchasing. Additionally, this could be used for promotion and marketing plans as the results indicate that trust in organic agricultural products would cause a positive repurchasing effect.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.1
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• pp.85-93
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• 2015

Previous studies have estimated crash prediction models with the fixed effect model which assumes the fixed value of coefficients without considering characteristics of each intersections. However the fixed effect model would estimate under estimation of the standard error resulted in over estimation of t-value. In order to overcome these shortcomings, the random effect model can be used with considering heterogeneity of AADT, geometric information and unobserved factors. In this study, data collections from 89 intersections in Daejeon and estimates of crash prediction models were conducted using the random and fixed effect negative binomial regression model for comparison and analysis of two models. As a result of model estimates, AADT, speed limits, number of lanes, exclusive right turn pockets and front traffic signal were found to be significant. For comparing statistical significance of two models, the random effect model could be better statistical significance with -1537.802 of log-likelihood at convergence comparing with -1691.327 for the fixed effect model. Also likelihood ration value was computed as 0.279 for the random effect model and 0.207 for the fixed effect model. This mean that the random effect model can be improved for statistical significance of models comparing with the fixed effect model.

• Journal of Technology Innovation
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• v.26 no.4
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• pp.29-56
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• 2018

The purpose of this research is to examine whether investment portfolio composition affects the technological performance of corporate venture capital (CVC). The stages of investment are categorized from "start-up/seed", "early", and "expansion", to "later" stage. We posit and test that the investment stage composition in a portfolio is highly correlated with the growth potential and downside risk of the portfolio, which in turn influences an investor's innovation performance. To test this hypothesis, we used negative binomial panel regression with 21 years of deal data from 70 cases of CVC. The results show that there is an inverted U shaped relationship between investment portfolio composition and technological performance. This means that the more seed or early stage investment within the investment portfolio, the higher the innovation performance; however, if the amount of seed or early stage investment is over a certain level, the performance decreases. Further, this study finds that the external partners of a venture negatively moderate the inverted U shaped relationship between portfolio composition and innovation performance. We believe that corporate planners, venture capitalists, and policy makers will be helped by these results showing that companies can maximize their investment performance by considering the investment stage and progress of investments.

• Journal of the Korean Regional Science Association
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• v.40 no.3
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• pp.95-108
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• 2024

This study analyzes the location determinants of newly established and relocated manufacturing firms in South Korea using the National Business Survey data from 2016 to 2019. Both new establishments and relocations are concentrated in the Seoul metropolitan area, Chungcheong, Yeongnam, and Daegyeong regions, with relocated firms showing a higher degree of spatial concentration. Employing a negative binomial regression model, we find that manufacturing concentration, population density, industrial diversity, and lower wage levels positively influence both new establishments and relocations. The proportion of highly educated workers, accessibility to producer services, and average land prices only positively affect the frequency of new establishments, suggesting that firms in the early stages of their life cycle, which are more dependent on human capital and producer services, demonstrate a higher willingness to pay for land use. Conversely, increased travel time to Seoul and improved transportation accessibility enhance the probability of attracting relocated firms. This implies that cost reduction incentives associated with distance from Seoul may outweigh the benefits of proximity to the capital in relocation decisions. Our findings suggest that strengthening agglomeration economies and improving transportation infrastructure efficiency could increase the likelihood of attracting relocated manufacturing firms to non-capital regions.

• Knowledge Management Research
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• v.25 no.3
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• pp.231-251
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• 2024

For Airbnb, one of the most successful examples of the sharing economy, to continuously grow, it needs a steady supply of attractive listings. To this end, this study draws on existing research on Airbnb and signaling theory to examine the factors that influence the performance of Airbnb listings. From a dynamic perspective, we expect the importance of factors affecting listings' performance to differ between new and existing listings. Analyzing Airbnb data from the 10 most active US cities using negative binomial regression, we find that dynamic attributes that require a time investment have a stronger impact on existing listings, while static attributes that require less of a time investment have a similar effect on both types. The host's membership duration and number of listings were expected to have positive effects, but showed negative effects. While the instant booking policy increased users' convenience, some hosts were reluctant to use it. The results of the analysis suggest that the importance of the factors varies depending on the type of Airbnb listing (new vs. existing), and the need for differentiated policies and complementary measures based on the type of listing is necessary in a practical perspective.

• The Korean Journal of Applied Statistics
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• v.21 no.6
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• pp.923-932
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• 2008

We are likely to face complex multivariate data which can be characterized by having a non-trivial correlation structure. For instance, omitted covariates may simultaneously affect more than one count in clustered data; hence, the modeling of the correlation structure is important for the efficiency of the estimator and the computation of correct standard errors, i.e., valid inference. A standard way to insert dependence among counts is to assume that they share some common unobservable variables. For this assumption, we fitted correlated random effect models considering multilevel model. Estimation was carried out by adopting the semiparametric approach through a finite mixture EM algorithm without parametric assumptions upon the random coefficients distribution.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.361-368
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• 2013

This research aims to offer the information required for demand increase on marketing strategy level by investigating Mudeungsan visitors' demographic characteristics and social economical variables. To accomplish this study, the proper analyzing model needs to be applied because a grave error of parameters will be led if regression model appropriate for analyzing the data of a continuous probability variable is applied, in case that dependent variable is a discrete random variable which have a discrete probability distribution. Therefore data analysis was performed with Poisson model. However, as the data was showing an overdispersion, parameter was estimated with the Binomial Poisson model able to cover the problem. As a result, some explanatory variables turned out to be significant such as visitor's age, occupation, preferred season to visit, type of company, five days working, and preferring type of tourism. Author could offer to the national park the information about characteristics of core market revealed and marketing strategy for it, based on those influential variables.

• Journal of Oriental Neuropsychiatry
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• v.34 no.4
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• pp.349-358
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• 2023

Objectives: We used the 2019 Korea Health Panel Annual Data to analyze factors related to visits to Korean medicine (KM) outpatient clinics among patients with mood disorders in Korea. Methods: Individuals aged 19 years or older, with depressive or bipolar disorders, and with a record of using Western medicine (WM) and/or the KM medical service were included. The 266 subjects were classified into the WM group or the integrative medicine (IM) group. The Andersen healthcare utilization model was used to analyze factors that potentially influenced the subjects' healthcare utilization. Binomial logistic regression analysis was used to analyze factors influencing the use of IM medical services. Results: Among the subjects, 75.56% (n=201) were in the WM group, and 24.44% (n=65) were in the IM group. Statistically significant differences were observed in residential areas, total annual income, the presence of disability, and the level of pain/discomfort between the two groups. Regression analysis found that residential areas and pain/discomfort were factors related to the use of IM services. Specifically, reporting "a lot" of pain/discomfort compared to "no" pain/discomfort showed a significant positive relationship with the use of IM (odds ratio=4.57, 95% confidence interval=1.79 to 11.70). Conclusions: This study was the first to analyze the status of KM medical service use and related factors among patients with mood disorders in Korea. The finding that the presence of pain/discomfort was positively correlated with the use of KM services is potentially related to medically unexplained physical symptoms or somatization phenomena.

• Journal of Korean Medicine for Obesity Research
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• v.24 no.1
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• pp.41-53
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• 2024

Objectives: We used the Korea Health Panel Annual Data 2019 to analyze factors related to visits to both Korean medicine and Western medicine (WM) outpatient clinics among patients with overweight and obesity. Methods: The inclusion criteria for this study are as follows: 1) adults over 18 years of age, 2) overweight or obese with a body mass index of 25.0 or more, 3) visited WM outpatient clinics at least once during 2019. Total 2,963 individuals were included in WM group or integrative medicine (IM) group. Using the Andersen healthcare utilization model, factors related to healthcare utilization of the participants were classified. Binomial logistic regression analysis was used to analyze factors associated with IM use. Results: Among the participants, 80.49% (n=2,385) were assigned to WM group and 19.51% (n=578) to IM group. As a result of the regression analysis, factors significantly related to the use of IM included the elderly over 65 years of age, sex (men), college or higher education level, residential area (Gwangju/Jeolla/Jeju), presence of cancer, and presence of musculoskeletal disease. The main diagnosis associated with both WM and IM use was most frequently musculoskeletal conditions. Also, IM group received WM treatment for musculoskeletal conditions more frequently compared to WM group. Conclusions: This study is the first to analyze healthcare utilization patterns among overweight or obese patients in Korea. The current findings suggest that the presence of musculoskeletal conditions, especially in this population, may be strongly associated with concurrent use of IM services.

• Journal of Preventive Medicine and Public Health
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• v.50 no.4
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• pp.228-239
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• 2017

Objectives: This study aimed to examine the association between preschool education experiences and adulthood self-rated health using representative data from a national population-based survey. Methods: Data from the Korean Labor and Income Panel Study in 2006 and 2012 were used. A total of 2391 men and women 21-41 years of age were analyzed. Log-binomial regression analyses were conducted to examine the associations between preschool education experience and self-rated health in adulthood. Parental socioeconomic position (SEP) indicators were considered as confounders of the association between preschool education experience and adulthood subjective health, while current SEP indicators were analyzed as mediators. Age-adjusted prevalence ratios (PRs) and the associated 95% confidence intervals (CIs) were estimated. Results: Compared with men without any experience of preschool education, those with both kindergarten and other preschool education experiences showed a lower prevalence of self-rated poor health (PR, 0.65; 95% CI, 0.47 to 0.89). In women, however, such an association was not evident. The relationship of preschool education experiences with self-rated poor health in adulthood among men was confounded by parental SEP indicators and was also mediated by current SEP indicators. After adjustment for parental and current SEP indicators, the magnitude of the associations between preschool education experiences and adulthood subjective health was attenuated in men. Conclusions: Preschool education experience was associated with adulthood self-rated health in men. However, this association was explained by parental and current SEP indicators. Further investigations employing a larger sample size and objective health outcomes are warranted in the future.