• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.1 s.12
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• pp.27-37
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• 2007

The automatic speed enforcement system is expected to play an important role as intelligent transport system (ITS) or advanced franc management system (ATMS). It must be a reliable system checking the overspeedy vehicles automatically, while savine the police manpower and ensuring a safe traffic flow. In terms of traffic engineering, the automatic speed enforcement system may serve to improve driver's violent behaviors, facilitate the smooth and safe traffic flow and thereby, reduce the traffic accident. This study was aimed at analyzing the accident before and after installation of the automatic speed enforcement systems at the frequency, EPDO(equivalent property damage only) and accident cost, analyzing the effects of the automatic system on the traffic flow and accident. As a result, when we equip the automatic speed enforcement system on the downward slope section or after middle section comparing with whole section. We should consider the location of automatic speed enforcement system.

• The KIPS Transactions:PartD
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• v.10D no.3
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• pp.427-438
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• 2003

In a data warehouse, users typically search for trends, patterns, or unusual data behaviors by issuing queries interactively. The OLAP range-sum query is widely used in finding trends and in discovering relationships among attributes in the data warehouse. In a recent environment of enterprises, data elements in a data cube are frequently changed. The problem is that the cost of updating a prefix sum cube is very high. In this paper, we propose a novel algorithm which reduces the update cost significantly by an index structure called the Δ-tree. Also, we propose a hybrid method to provide either approximate or precise results to reduce the overall cost of queries. It is highly beneficial for various applications that need quick approximate answers rather than time consuming accurate ones, such as decision support systems. An extensive experiment shows that our method performs very efficiently on diverse dimensionalities, compared to other methods.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.341-356
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• 2007

We study factors that affect consumers' switching behaviors among service providers in Korean mobile telecommunications service market. For empirical analysis, quarterly time series data from the first quarter of 2004 through the second quarter of 2007 were used. We chose the number of switchers to each mobile service provider in each quarter as dependent variables. Independent variables include acquisition costs per subscriber, which play the role of subsidy to mobile handset, switching costs, time trend, structural change effect, and standby demand effects. Through the empirical analysis, we found that different providers' churn-in customers are affected by different factors. Specifically, the number of chum-in customers into SK Telecom is explained mainly by SK Telecom's customer acquisition costs and standby demand from KTF, while the number of customers switching into KTF is better explained by switching costs from the previous service provider and standby demand from SK Telecom. Those who chose LG Telecom as their new provider, on the other hand, were mainly attracted by LG Telecom's high subscriber acquisition cost.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.95-111
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• 2021

Despite the innovation of AI and Big Data, theoretical research bout the effect of AI and Big Data on market competition is still in early stages; therefore, this paper analyzes the effect of AI, Big Data, and data sharing on an entry firm by using game theory. In detail, the firms' business environments are divided into internal and external ones. Then, AI algorithms are divided into algorithms for (1) customer marketing, (2) cost reduction without automation, and (3) cost reduction with automation. Big Data is also divided into external and internal data. this study shows that the sharing of external data does not affect the incumbent firm's algorithms for consumer marketing while lessening the entry firm's entry barrier. Improving the incumbent firm's algorithms for cost reduction (with and without automation) and external data can be an entry barrier for the entry firm. These findings can be helpful (1) to analyze the effect of AI, Big Data, and data sharing on market structure, market competition, and firm behaviors and (2) to design policy for AI and Big Data.

• Korean Journal of Agricultural Science
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• v.51 no.3
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• pp.399-412
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• 2024

This study aimed to analyze consumers' behaviors and reactions to the use-by date labeling system and provide policy implications for its efficient implementation, by utilizing 213 consumers data conducted via an Internet survey using the Google online form. We refer "pure consumption date" as the period that have passed sell-by date yet have not passed use-by date. Consumers' willingness to accept (WTA) for pure consumption date food was surveyed, which means the discount ratio of pure consumption date food compared to the original price by sell-by date. Setting the expected effects of use-by date labeling system as five: food waste reduction (waste), food purchasing cost reduction (cost), and international standardization (standard), etc., Tobit regression result showed waste had the greatest (negative) impact on consumer's WTA, while cost and standard had positive impact on consumer's WTA. The logistic regression result revealed that consumers trying to reduce grocery costs have higher probability to purchase use-by date labeling food, and further expect higher WTA. Also consumers valuing the importance of environmental protection or food quality are more likely to purchase use-by date food. Conversely consumers valuing food safety importance tend to have negative impact on purchasing use-by date food, hence expect higher WTA. It is noteworthy that consumers valuing the importance of promoting the use-by date labeling system have significantly higher probability of purchasing use-by date food. Additionally, consumers' WTA averaged 54.3%, implying that consumers are willing to purchase use-by date food when it is discounted more than 54.3% from the original price, where women expect higher WTA, the aged over 60 expect higher WTA, furthermore single-parent households expect 21.3% higher than the average WTA. However, old-aged, unmarried women, higher educated and higher income groups were negative in purchasing use-by date food. These results suggest that customized sales policy and effective promotion strategies reflecting socio-demographic characteristics of consumers would be necessary to achieve effective implementation of the newly introduced system.

• Asian Oncology Nursing
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• v.3 no.1
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• pp.24-44
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• 2003

The purposes of this study was to identify and propose the expected role of the oncology nurse specialist by embodying role theory to oncology nurse specialist. The subjects of this study were 149 persons in 14 hospitals, who were classified to 4 groups, oncology nurse specialists(ONS) group, head nurses and charge nurses(HN & CN) group in hemato-oncology ward, registered nurses(RN) group in hemato-oncology ward, and hematologists & oncologists(H&O) group. The questionnaire which was consisted of 89 items for role of oncology nurse specialist, was made by researcher with a field study and literature review about role of oncology nurse specialist and verified by matrix delphi technique about content validity and construct validity. The data were collected from October 22, 2002 to November 5, 2002. All 4 groups proposed that ONS should perform an expert practitioner role first of all. But ONS group, RN group and H&O group proposed orderly expert practitioner, educator, researcher, consultant, and administrator & change agent, but HN & CN group did expert practitioner, educator, consultant, researcher, administrator & change agent. Expert practitioner had the most highest necessary degree in all groups and most highest performance degree in ONS group. That was consistent with results that all groups proposed role of expert practitioner at first. 4 items out of 20 items showed the meaningful differences between groups. For role of educator, oncology nurse specialist group proposed necessary degrees over 4.0 point out of 5.0 in all items. 4 items out of 18 items showed the meaningful differences between groups. For role of researcher, 3 nurses groups proposed a high necessary degree, but performance of ONS group was most lowest among 5 roles. 6 items out of 14 items showed the meaningful differences between groups. The role of consultant had high necessary degree in some items related to hematopoietic stem cell transplantation. 2 items out of 17 items showed the meaningful differences between groups. In nursing behaviors of administrator & change agent, those items about enacting principle, cost development and participation of professional academy had a high necessary degree. 4 items out of 18 items showed the meaningful differences between groups. Oncology nurse specialists group performed 5 roles orderly, expert practitioner, consultant, educator, administrator & change agent, researcher. This result was different from expected role of themselves as well as the other groups. There was a different necessary degree between role and embodied nursing behaviors of role. ONS group and RN group proposed orderly educator, researcher, administrator & change agent, expert practitioner, consultant, but the other groups did educator, expert practitioner, researcher, consultant, administrator & change agent. The expected standards of oncology nurse specialist in this study were usually master's degree, total career of 5-7 years, oncology career of 3-5 years and certification. But for the post, qualification and qualification institution, various opinions were suggested. In the conclusion, there was a different necessary degree between role and embodied nursing behaviors of role. All groups proposed expert practitioner at first in abstract role, but educator at first in embodied nursing behaviors of role. So we have to consider this difference carefully in the future research. ONS acted the role of expert practitioner first of all, but we should develope and expand the roles of researcher, and administrator & change agent. We should enact roles by role behaviors induced from mutual agreements in necessary degree and performance degree, and bargain the role behaviors that showed the meaningful differences between groups But, we should consider carefully which group's opinion we have to select. I suggested 36 items out of 89 items, in which ONS proposed necessary degree over 4.0 out of 5.0 and half of them performed as the nursing behaviors of oncology nurse specialist that did not induce role stress. For the future, We should role bargain the role with other groups based on these items.

• Journal of Nutrition and Health
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• v.51 no.2
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• pp.168-176
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• 2018

Purpose: This study was conducted to analyze food consumption behavior of women by marital status based on the 2015 consumer survey data on Food Consumption Behaviors of the Korea Rural Economic Institute. Methods: We analyzed data describing 3,312 women aged 19 ~ 75 who were the main buyers of foods in their household. The food purchase patterns, dining-out behavior, and use of food-delivery and take-out were investigated. Results: Overall, 40.5% of unmarried women shopped for food once per week and 37.4% spent 200,000 ~ 400,000 won per month. Additionally, 43.1% of married women shopped 2 ~ 3 times per week and 26.6% spent 400,000 ~ 600,000 won (p < 0.0001). Dining-out frequency and one-time cost per person of dining-out for unmarried women were higher than those for married women. With delivery/take-out food frequency, 2 time per week was the highest rate among married women (34.6%) and once per week was the highest among unmarried women (31.2%) respectively. Conclusion: The results of this study indicate food consumption behaviors and trends of Korean women by marital status. This study provides basic data that will be useful for food industries establishing marketing strategies to better meet consumer demands.

• Korea Journal of Hospital Management
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• v.25 no.2
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• pp.45-56
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• 2020

Purpose: The purpose of this study is to investigate medical care behaviors influencing accuracy of the payment based New diagnosis-related groups (DRG) compared to fee for service (FFS) in hospitalized patients with medical illness. Methodology: In order to estimate the difference in medical costs between New DRG and FFS depending on medical care behaviors, medical records and hospital claims data (n=4,232) were utilized, which were collected from a single public hospital during the first-half of 2018. Data were analyzed by descriptive statistics, t-test, chi-square test, and multivariate binary logistic regression. Findings: The average difference in medical costs between New DRG and FFS were KRW 506,711±13,945 with incentives and KRW -51,506±12,979 without incentives, respectively. Forty-four point two percent (44.2%, n=1,872) of total subjects were shown to have negative compensation in overall medical costs with New DRG compared to the costs with FFS. Medical care behaviors that affected on the negative compensation were the presence of severe bed sores on admission, medical consultations, death, operations, medications and laboratory or imaging tests with unit price over KRW 100,000, hospital-acquired complications or underlying comorbidities, elderly patients (≧65 years), and hospitalized for more than average inpatient days defined by New DRG (p<0.001). The difference in average medical cost between New DRG and FFS for a group with mild illness was KRW -11,900±10,544, whereas it was KRW -196,800±46,364 for a group with severe illness (p<0.0001). Practical Implications: These findings suggest that New DRG payment model without incentives may incompletely cover the variation of medical costs in real clinical practice. Therefore, policy makers need to consider that the current New DRG reimbursement should be focused and refined to improve accuracy of payment on medical care resources utilized in severe and complex medical conditions.

• Asia pacific journal of information systems
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• v.20 no.1
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• pp.57-79
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• 2010

In a virtual community, one can possess multiple identities and pretend to be different by creating self-identity in contrast with his or her actual self. Does false identity undermine the qualitative growth of a virtual community by reducing members' accountability? Or does it stimulate their contributive behaviors by ensuring freedom of speech? It is imperative to understand the effects of multi-identity considering the distinct properties of a virtual community in which people easily change their identities at little or no cost. To answer these questions, we adopted the concept of self-discrepancy from the social psychology theory rooted in the concept of the self and developed a theoretical model to predict quality of contribution of the individual member in virtual communities. Based on the self-discrepancy theory, we first identified two different domains of the self: (1) an "actual self" that consists of attributes that the person believes he or she currently possesses in real life and (2) a "cyber self" that consists of attributes the person believes he or she possesses in a virtual community. Next, we derived an index for two different types of self-discrepancy by using the differences between the actual and the cyber identities: Personal Self-discrepancy and Social Self-discrepancy. Personal Self-discrepancy reflects the degree of discrepancy between actual and cyber identity regarding a person's intelligence, education, and expertise. Social Self-discrepancy reflects the degree of discrepancy between actual and cyber identity regarding a person's morality, sociability, and accordance with social norms. Finally, we linked them with sense of virtual community, perceived privacy rights, and quality of contribution to examine how having a multi-identity influences an individual's psychological state and contributive behaviors in a virtual community. The results of the analysis based on 266 respondents showed that Social Self-discrepancy negatively influenced both the Sense of Virtual Community and Perceived Privacy Rights, while Personal Self-discrepancy negatively influenced only Perceived Privacy Rights, thereby resulting in reduced quality of contribution in virtual communities. Based on the results of this analysis, we can explain the dysfunctions of multi-identity in virtual communities. First, people who pretend to be different by engaging in socially undesirable behaviors under their alternative identities are more likely to suffer lower levels of psychological wellbeing and thus experience lower levels of sense of virtual community than others. Second, people do not perceive a high level of privacy rights reflecting catharsis, recovery, or autonomy, even though they create different selves and engage in socially undesirable behaviors in a virtual community. Third, people who pretend to be different persons in terms of their intelligence, education, or expertise also indirectly debase the quality of contribution by decreasing perceived privacy rights. The results suggest that virtual community managers should pay more attention to the negative influences exercised by multi-identity on the quality of contribution, thereby controlling the need to create alternative identities in virtual communities. We hope that more research will be conducted on this underexplored area of multi-identity and that our theoretical framework will serve as a useful conceptual tool for all endeavors.

• Korean Journal of Social Welfare Studies
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• v.49 no.1
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• pp.5-28
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• 2018

Smoking is one of the important public health concerns because it is preventable causes regarding individuals' negative health consequences and increased social and economic cost. However, few studies have examined longitudinal patterns of stages of changes(SOC) in smoking behaviors among the general population. The purpose of the study is to explore the latent patterns of SOC over time among Korean adult smokers using the 2008-2016 Korea Welfare Panel Study. A repeated measure latent class analysis is employed in the present study. The finding of the present study are as follows: First, four latent groups were identified: (1) action/maintenance stage(33.6%), (2) contemplation/preparation to action/maintenance stage(14.8%), (3) continuously contemplation/preparation stage(29.6%), and (4) continuously pre-contemplation stage(22.1%). Second, the results of a multinomial logistic regression found that socio-demographic and clinical characteristics were associated with the identified longitudinal patterns of smoking behaviors. Compared to a continuously pre-contemplation stage, higher levels of depressive symptoms and drinking behavior were associated with increased odds of being in action/maintenance stage. The findings of the present study highlight that a tailored intervention is needed for individuals with continuously pre-contemplation stage and contemplation stage.