• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.195-200
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• 2020

Korea enacted the Protection of Public Interest Reporters Act in March 2011 to protect whistleblowers from acts of infringement of public interest in the private sector. Most acts of infringement of the public interest are carried out secretly within the organization, which is known to the outside world by reports from members of the organization who are well aware of the problems within the organization. However, whistleblowers are at a disadvantage due to reporting and are reluctant to report. In addition, measures are needed to strengthen institutional mechanisms such as confidentiality, protection of personal information, responsibility, and prohibition of disadvantageous measures to effectively protect reporters due to lack of practical protective measures. Therefore, practical protection measures for whistleblowers are needed in line with the purpose of protecting whistleblowers, and measures to expand the corresponding compensation system will also be needed. Therefore, in this study, we would like to review the main contents of the current system for protecting whistleblowers in Korea and suggest reasonable improvement measures for protecting whistleblowers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.195-197
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• 2020

현행 우리나라는 공익침해행위와 관련하여 2011년 3월 공익신고자 보호법이 제정되어 민간부문에서의 공익신고자를 보호하고 있다. 대부분의 공익침해행위는 조직 내부에서 은밀하게 이루어지고 있어 조직 내부의 문제점을 잘 알고 있는 조직 구성원들의 신고로 인하여 외부에 알려지게 된다. 그러나 신고로 인하여 공익신고자가 받게 되는 불이익에 대한 실질적인 보호조치가 미흡하여 신고자를 효과적으로 보호하기 위한 제도를 강화하는 방안이 필요하다. 이에 본 연구에서는 현행 우리나라 공익신고자 보호제도에 대한 주요 내용을 검토하고, 공익신고자의 보호 등을 위한 합리적인 개선방안을 제시하고자 한다.

• KDI Journal of Economic Policy
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• v.43 no.2
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• pp.1-22
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• 2021

The effects of social distancing measures on income distributions and aggregate variables are examined with an off-the-shelf heterogeneous-agent incomplete-market model. The model shows that social distancing measures, which limit households' labor supply, can decrease the labor supply of low-income households who hold insufficient assets and need income the most given their borrowing constraints. Social distancing measures can therefore exacerbate income inequality by lowering the incomes of the poor. An equilibrium interest rate can fall when the social distancing shock is expected to be persistent because households save more to prepare for rising consumption volatility given the possibility of binding to the labor supply constraint over time. When the shock is expected to be transitory, in contrast, the interest rate can rise upon the arrival of the shock because constrained households choose to borrow more to smooth consumption given the expectation that the shock will fade away. The model also shows that social distancing shocks, which diminish households' consumption demand, can decrease households' incomes evenly for every income quantile, having a limited impact on income inequality.

• The Journal of Society for e-Business Studies
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• v.6 no.3
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• pp.127-148
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• 2001

As the Internet service is expanding rapidly, portal sites, a gateway tn the net, are attracting increasing attention these days. As the Internet service has expanded rapidly, so has the interest for portal sites,, which serve as a gateway to the net. Despite the tendency, however, research on a measure by which to evaluate the quality of portal sites or development of such measures has not been fully pursued. As online services, faced with profitability, are considering 'charge per view', the development of a set of quality evaluation measures for portal services will prove to become a valuable instrument in constructing competitive strategies that are vital for survival and growth of a firm. In that regard, this study aims to develop a set of evaluation measures for Internet portal sites by empirically investigating the most common offline measures for quality of services, SERVQUAL, retail SERVQUAL and other evaluation measures for IT-related online services. Moreover, the study offers the strategic implications of the defined measures.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.94-95
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• 2021

With the recent advancement of the construction industry, interest in it is growing as the accident rate in the construction industry continues to increase due to the enlargement and complexity of the construction scale. These social issues are focused on the safety of construction work, and research on construction industrial accidents is continuously being conducted, but research on measures to reduce construction industrial accidents is surprisingly insufficient. Therefore, in this study, research on reduction measures to increase the safety of construction industrial accidents conducted for 5 years from 2017 to 2021 is investigated and compared, and it is intended to be used as basic data for future construction industrial accident reduction measures.

• Journal of the Korean Home Economics Association
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• v.20 no.4
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• pp.33-44
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• 1982

The purpose of this study was to investigate clothing behavior of women in Dae Jeon and to find out the relationship between clothing behavior and occupations. Measures selected for this study was‘Creekmore Scales of Eight Clothing Variables’, (Creekmore, 1966). The questionnaires were distributed to women in Dae Jeon including teachers, women working in a government office, women working in a company, nurses, women working in a bank, women working in a department store and the business center, technicians, women working in a merry making place, and house wives. For statistical analyses of the data from 400 respondents, F-test, and t-test were used. The results were as follows: 1. There were partially significant relationship between clothing behavior and occupations. The significant variables were modesty, comfort, approval, and dependence among the eight clothing variables. a) The group of highest interest in modesty and comfort was house wives and the group of lowest interest was women working in a merry making place. b) The group of highest interest in approval was women working in a merry making place and the group of lowest interest was women working in a bank. c) The group of highest interest in dependence was teachers and the group of lowest interest was nurses. 2. Partially significant differences were found in clothing behavior between a working women and house wives: The house wives were more interest in modesty, comfort, management. 3. Partially significant difference were found in clothing behavior between White-collar workers and Blue-collar workers were more interest in attention, approval, interest.

• Journal of Korean Academy of Nursing
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• v.7 no.1
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• pp.80-87
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• 1977

The present study was undertaken to find the factors affecting academic achievement in a nursing school. 172 students were selected for this study and were divided into higher & lower 12 percent. Tools & measures used for this study were the interest test, personality test, test of self-concept, test of adjustment & school achievement. The major findings obtained from this study were as follows : 1. Factors affecting school achievement except intellectuality were thus : 1) Artistic interest, literary interest, scientific interest biological & scientific interest -physical affected the academic achievement . 2) Sociability, reasonability, depression & refractiveness affected the academic achievement. 3) Self criticism, total positive self-score, & personal self - score affected the academic achievement. 4) Adjustment to school, personal economics, health & value Morality affected the academic achievement. 2. Correlation between school achievement & interest, personality, self-concept or adjustment in the higher 81 lower group were thus; 1) There was a significant relationship between academic achievement & the following: artistic interest, scientific interest-biological, scientific interest-physical, out-door interest, refractiveness, sociability, responsibility, depression, self satis faction- score, personal self -score, social self - score, self behavior score, adjustment to school, health & values morality in the higher group. 2) There were no significant factors related with academic achievement in the lower group. 3. Difference or difference in relationship between higher & lower group in the interest, personality, self-concept & adjustment were as follows, : 1) There was a significant difference between higher & lower group in artistic -interest. literary interest, scientific interest-biological , out-door interest, sociability, depression, refractiveness, self criticism, total positive self score, personal self score, adjustment to school, personal economics, health & values morality. 2) There was a significant difference in relationships between higher & lower group in artistic interest, scientific interest, scientific 3) There was a significant difference in relationships between higher 8E lower group in artistic interest, scientific interest -biological, out -door interest , sociability, responsibility, refractiveness, depression, self identity score, self satisfaction score, adjustment to school, health, personality & value morality.

• The KIPS Transactions:PartD
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• v.17D no.1
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• pp.1-8
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• 2010

Association rule mining techniques enable us to acquire knowledge concerning sales patterns among individual items from voluminous transactional data. Certainly, one of the major purposes of association rule mining is utilizing the acquired knowledge to provide marketing strategies such as catalogue design, cross-selling and shop allocation. However, this requires too much time and high cost to only extract the actionable and profitable knowledge from tremendous numbers of discovered patterns. In currently available literature, a number of interest measures have been devised to accelerate and systematize the process of pattern evaluation. Unfortunately, most of such measures, including support and confidence, are prone to yielding impractical results because they are calculated only from the sales frequencies of items. For instance, traditional measures cannot differentiate between the purchases in a small basket and those in a large shopping cart. Therefore, some adjustment should be made to the size of market baskets because there is a strong possibility that mutually irrelevant items could appear together in a large shopping cart. Contrary to the previous approaches, we attempted to consider market basket's size in calculating interest measures. Because the devised measure assigns different weights to individual purchases according to their basket sizes, we expect that the measure can minimize distortion of results caused by accidental patterns. Additionally, we performed intensive computer simulations under various environments, and we performed real case analyses to analyze the correctness and consistency of the devised measure.

• International Journal of Contents
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• v.4 no.3
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• pp.20-28
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• 2008

To obtain realistic performance measures for wireless networks, one should consider changes in performance due to failure related behavior. In performability analysis, simultaneous consideration is given to both pure performance and performance with failure measures. SRN is an extension of stochastic Petri nets and provides compact modeling facilities for system analysis. In this paper, a new methodology to model and analyze performability based on stochastic reward nets (SRN) is presented. Composite performance and availability SRN models for wireless handoff schemes are developed and then these models are decomposed hierarchically. The SRN models can yield measures of interest such as blocking and dropping probabilities. These measures are expressed in terms of the expected values of reward rate functions for SRNs. Numerical results show the accuracy of the hierarchical model. The key contribution of this paper constitutes the Petri nets modeling techniques instead of complicate numerical analysis of Markov chains and easy way of performance analysis for channel allocation under SRN reward concepts.

• Journal of the Korea Society for Simulation
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• v.3 no.2
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• pp.27-36
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• 1994

In many real-world simulation studies the several measures of performance are of interest simultaneously. There exist very limited number of studies that explain and suggest the methods or procedures of inferencing the system performances at the same time. This study presents a procedure for determining the number of simulation observations required to achieve the prespecified confidence level for several measures of system performance. Mean values are selected as the measures, for instance, expected ordering cost, expected holding cost, and expected shortage cost for a given period of time in the study of inventory problems. Basically, the batch means approach is applied and extended to develop an algorithm to carry out the procedure handling more than single parameter. The efficacy of the presented method is assessed through the experiments. The empirical results based on some stochastic systems such as queues and inventory problems show that the suggested method produces as excellent result in terms of the precision of estimated means and the number of observations required.