• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.35-52
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• 2019

As public services are provided in various forms, including e-government, the level of public demand for public service quality is increasing. Although continuous measurement and improvement of the quality of public services is needed to improve the quality of public services, traditional surveys are costly and time-consuming and have limitations. Therefore, there is a need for an analytical technique that can measure the quality of public services quickly and accurately at any time based on the data generated from public services. In this study, we analyzed the quality of public services based on data using process mining techniques for civil licensing services in N city. It is because the N city's building license complaint service can secure data necessary for analysis and can be spread to other institutions through public service quality management. This study conducted process mining on a total of 3678 building license complaint services in N city for two years from January 2014, and identified process maps and departments with high frequency and long processing time. According to the analysis results, there was a case where a department was crowded or relatively few at a certain point in time. In addition, there was a reasonable doubt that the increase in the number of complaints would increase the time required to complete the complaints. According to the analysis results, the time required to complete the complaint was varied from the same day to a year and 146 days. The cumulative frequency of the top four departments of the Sewage Treatment Division, the Waterworks Division, the Urban Design Division, and the Green Growth Division exceeded 50% and the cumulative frequency of the top nine departments exceeded 70%. Higher departments were limited and there was a great deal of unbalanced load among departments. Most complaint services have a variety of different patterns of processes. Research shows that the number of 'complementary' decisions has the greatest impact on the length of a complaint. This is interpreted as a lengthy period until the completion of the entire complaint is required because the 'complement' decision requires a physical period in which the complainant supplements and submits the documents again. In order to solve these problems, it is possible to drastically reduce the overall processing time of the complaints by preparing thoroughly before the filing of the complaints or in the preparation of the complaints, or the 'complementary' decision of other complaints. By clarifying and disclosing the cause and solution of one of the important data in the system, it helps the complainant to prepare in advance and convinces that the documents prepared by the public information will be passed. The transparency of complaints can be sufficiently predictable. Documents prepared by pre-disclosed information are likely to be processed without problems, which not only shortens the processing period but also improves work efficiency by eliminating the need for renegotiation or multiple tasks from the point of view of the processor. The results of this study can be used to find departments with high burdens of civil complaints at certain points of time and to flexibly manage the workforce allocation between departments. In addition, as a result of analyzing the pattern of the departments participating in the consultation by the characteristics of the complaints, it is possible to use it for automation or recommendation when requesting the consultation department. In addition, by using various data generated during the complaint process and using machine learning techniques, the pattern of the complaint process can be found. It can be used for automation / intelligence of civil complaint processing by making this algorithm and applying it to the system. This study is expected to be used to suggest future public service quality improvement through process mining analysis on civil service.

• Korean Journal of Social Welfare
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• v.57 no.3
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• pp.51-72
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• 2005

The purpose of this article is to empirically testify three hypotheses on the relation between married women's employment and the allocation of unpaid domestic work within households - i.e., adaptive partnership (AP), dual burden (DB) and lagged adaptation (LA) models. The AP hypothesis assumes that, when wives are employed, husbands spend more time doing housework in order to compensate for their wives' increased responsibility. The DB model, by contrast, indicates that, even if married women are employed, their burden on domestic work does not decrease. In this case, therefore, the dual burden of married women can be expected. Between these two opposite views, the third, alternative hypothesis has been suggested recently. The LA model argues that the behaviours of households are adaptive to the changing environments but over a period of many years and even across generations. The article has analysed the total work time as well as unpaid domestic work time to testify these three hypotheses, utilising 1999 Time Use Survey data of the National Statistical Office. The research results can be summarised as follows. First, married working women worked 100 minutes more than their male spouses. Second, the average domestic work time of married men, 23-25 minutes per day, was no more than 5-10% of that of women. Third, the effects of age and women's employment were not statistically significant in multiple regression models, which means that the DB hypothesis explains the situation of married working women in Korea. Based on these findings, the article suggested the expansion of the public social service system to mitigate the dual burden of married working women, the introduction of compensatory credit for caring work, and the directions of further empirical research using the time use survey data.

• Journal of East-West Nursing Research
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• v.10 no.1
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• pp.11-26
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• 2004

The purpose of this study is to investigate the present conditions of nursing investment contents, its conversion process, and output in Oriental University Medical Center, Korea to get good qualified Oriental nursing result which is the ultimate purpose of the Oriental nursing management, and to develope a matrix of Oriental nursing management system on the basis of that project. The subjects for nursing investment and output contents were eighteen nursing directors in eleven Oriental University Medical Center and two hundred thirty-nine nurses with three years and over experience in Oriental medical center. The subjects for Oriental nursing organization, human affair management, and control function were nineteen Oriental medical center in Oriental University Medical Center, Korea. Data were collected from November, 2002 to February, 2003 with questionnaire. Data analysis was done by SPSS PC+ 12 program. Frequency, percentage, and minimum/maximum values were used for investment contents, and frequency and percentage were used for conversion process and output contents. 1. The input factors of oriental nursing management system The objective's western hospital career was over five years of one hundred and seventy-five(73.2%) persons. Nursing in-service education was performed in fourteen hospitals(77.8%). Two hundreds(83.7%) were pro to oriental nurse system. Only four hospitals(22.2%) had independent budget in nursing division. Nursing staff allocation to the bed was from 2.8:1 to 9.06:1 respectively, with a big gap of the rate following the hospitals. 2. The conversion factors of oriental nursing system 1) Oriental nursing system Oriental hospital nursing system was organized independently in ten hospitals among eighteen hospitals. The recruitment of nurses which was a vital role of the nursing division of the hospital was mostly(79%) opened. The education to develope nursing personnels was through in-service one in 97.4%. Education for oriental nursing and management was performed in 42.1%(eight hospitals) and that for reserves was done in 36.8%(seven hospitals). Administration for nursing education by nursing division was 68.5%(thirteen hospitals). The post education evaluation was performed by report submission in 36.8%(seven hospitals), by written examination in 26.3%, by questionnaires in 21.1%, and by lecture presentation in 15.8% subsequently. The directorial meeting for the nursing directors was attended by 84.2%(sixteen hospitals), and the meeting type was the medical executive and support division executive meeting in 55.6%(ten hospitals) and the personnel management in 39.6%(seven hospitals). 2) The actual conditions of oriental nursing personnel management The reason of working in oriental hospital was by voluntary in 67.1%(a hundred and sixty persons), by nursing department order in 28.0%(sixty-seven persons), and by others in 5.0%(twelve persons) respectively. The shift form was a three-shifts one in 94.7%(eighteen hospitals), a two-shift one in only one hospital. Duty assignment was functional in 52.6%(ten hospitals), team and functional in 26.3%(five hospitals) and no team alone. Promotion manual was present at 68.4%(thirteen hospitals) and the competency essentials comprised of performance evaluation in 79%, interview, written examination, training result, study result subsequently. No labor union existed in 79%(fifteen hospitals) 3) Oriental nursing preceptor system There were five oriental hospitals(27.7%) administering the preceptor utilization model, which showed lower rate than the twenty-two medical university hospitals in Seoul in which fifteen hospitals (72.7%) were having the system. To the question of necessity of oriental nurse system asked to the objectives of two hundred and thirty-nine with more than three year-experience in oriental hospital, two hundred persons(83.7%) answered positively. 4) The control of oriental nursing The evaluation results from the target hospitals were mostly not opened in 89.4% of oriental hospitals. Thirteen hospitals(68.3%) had evaluation system of direct managers and the next were three hospitals(15.8%) of direct managers and selves. There was one hospital(5.3% each) where fellows and superiors, fellows, and inferiors' evaluation was performed and no hospital where superiors, fellows, inferiors and selves, and superiors, fellows and selves' evaluation was performed. The QI activity of nursing was 42.1%(eight hospitals) for nursing service evaluation, 36.8% for survey of ECSI, 26.3% for survey of ICSI, 15.8% for medical visit rate, 10% for hospital standardization inspection in sequence. 3. The output factors of oriental nursing management system The job satisfaction appeared good in general, indicating very good in thirty-seven persons (15.7%), good in one hundred and fourteen persons (48.3%) and fair in eighty-five persons(36.0%).

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.97-117
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• 2020

Product evaluation criteria is an indicator describing attributes or values of products, which enable users or manufacturers measure and understand the products. When companies analyze their products or compare them with competitors, appropriate criteria must be selected for objective evaluation. The criteria should show the features of products that consumers considered when they purchased, used and evaluated the products. However, current evaluation criteria do not reflect different consumers' opinion from product to product. Previous studies tried to used online reviews from e-commerce sites that reflect consumer opinions to extract the features and topics of products and use them as evaluation criteria. However, there is still a limit that they produce irrelevant criteria to products due to extracted or improper words are not refined. To overcome this limitation, this research suggests LDA-k-NN model which extracts possible criteria words from online reviews by using LDA and refines them with k-nearest neighbor. Proposed approach starts with preparation phase, which is constructed with 6 steps. At first, it collects review data from e-commerce websites. Most e-commerce websites classify their selling items by high-level, middle-level, and low-level categories. Review data for preparation phase are gathered from each middle-level category and collapsed later, which is to present single high-level category. Next, nouns, adjectives, adverbs, and verbs are extracted from reviews by getting part of speech information using morpheme analysis module. After preprocessing, words per each topic from review are shown with LDA and only nouns in topic words are chosen as potential words for criteria. Then, words are tagged based on possibility of criteria for each middle-level category. Next, every tagged word is vectorized by pre-trained word embedding model. Finally, k-nearest neighbor case-based approach is used to classify each word with tags. After setting up preparation phase, criteria extraction phase is conducted with low-level categories. This phase starts with crawling reviews in the corresponding low-level category. Same preprocessing as preparation phase is conducted using morpheme analysis module and LDA. Possible criteria words are extracted by getting nouns from the data and vectorized by pre-trained word embedding model. Finally, evaluation criteria are extracted by refining possible criteria words using k-nearest neighbor approach and reference proportion of each word in the words set. To evaluate the performance of the proposed model, an experiment was conducted with review on '11st', one of the biggest e-commerce companies in Korea. Review data were from 'Electronics/Digital' section, one of high-level categories in 11st. For performance evaluation of suggested model, three other models were used for comparing with the suggested model; actual criteria of 11st, a model that extracts nouns by morpheme analysis module and refines them according to word frequency, and a model that extracts nouns from LDA topics and refines them by word frequency. The performance evaluation was set to predict evaluation criteria of 10 low-level categories with the suggested model and 3 models above. Criteria words extracted from each model were combined into a single words set and it was used for survey questionnaires. In the survey, respondents chose every item they consider as appropriate criteria for each category. Each model got its score when chosen words were extracted from that model. The suggested model had higher scores than other models in 8 out of 10 low-level categories. By conducting paired t-tests on scores of each model, we confirmed that the suggested model shows better performance in 26 tests out of 30. In addition, the suggested model was the best model in terms of accuracy. This research proposes evaluation criteria extracting method that combines topic extraction using LDA and refinement with k-nearest neighbor approach. This method overcomes the limits of previous dictionary-based models and frequency-based refinement models. This study can contribute to improve review analysis for deriving business insights in e-commerce market.

• The KIPS Transactions:PartC
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• v.10C no.5
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• pp.625-634
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• 2003

More than a decade after its initial proposal, deployment of IP Multicast has been limited due to the problem of traffic control in multicast routing, multicast address allocation in global internet, reliable multicast transport techniques etc. Lately, according to increase of multicast application service such as internet broadcast, real time security information service etc., overlay multicast is developed as a new internet multicast technology. In this paper, we describe an overlay multicast protocol and propose fast join mechanism that considers switching of the tree. To find a potential parent, an existing search algorithm descends the tree from the root by one level at a time, and it causes long joining latency. Also, it is try to select the nearest node as a potential parent. However, it can't select the nearest node by the degree limit of the node. As a result, the generated tree has low efficiency. To reduce long joining latency and improve the efficiency of the tree, we propose searching two levels of the tree at a time. This method forwards joining request message to own children node. So, at ordinary times, there is no overhead to keep the tree. But the joining request came, the increasing number of searching messages will reduce a long joining latency. Also searching more nodes will be helpful to construct more efficient trees. In order to evaluate the performance of our fast join mechanism, we measure the metrics such as the search latency and the number of searched node and the number of switching by the number of members and degree limit. The simulation results show that the performance of our mechanism is superior to that of the existing mechanism.

• Korean Journal of Social Welfare
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• v.64 no.1
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• pp.199-223
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• 2012

The purpose of this study is to clarify the mechanism and essence of problems by understanding the whole structure of the complicated problems that exist in the social welfare field with DEMATEL method, one of structural models. This paper consists of (1) What kind of social welfare problems exist in the community that is related to welfare? (2) What kind of thoughts do people who work in social welfare field have related to these problems? (3) Are there any differences in structure of thoughts among social welfare civil servants who take charge of planning and dividing budgets for community welfare, social workers who provide services personally and civic activists who criticize and keep watch on behalf of civilians? In order to achieve the purpose of this study, data were collected in Busan Busanjingu and the survey was conducted from the year of 2005 when community welfare plan was first established up to now. The major structural problems of the community welfare of the Pusan Jin-gu, Korea, are: 1) welfare budget allocation procedure is not logical, 2) the outskirts of the Pusan Jin-gu are isolated as poor areas, 3) geographic imbalance is severe among communities, and 4) the social welfare response system to support future population structure needs to be more developed. All of these problems are the fundamental origin to the social resource disparity within communities. The major problems of the community social welfare in Pusan Jin-gu, Korea were recognized by different perspective in terms of professional career such as social welfare civil servants, social workers, and civic activists. Majority of the social welfare civil servants thought "severe geographic imbalance"; majority of the social workers believed "lack of the social welfare response system to support the structure of the population in the future" and "disparity in social resources within the communities"; and majority of the civic activists said "limitation for understanding various social welfare needs because of short term need assessments" as main issues of the community social welfare. It seems that this paper is able to be used as a framework to establish community welfare plans and individual programs in Busan Busanjingu.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.344-350
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• 2003

In this paper, we propose a novel sharing method ordering the events occurring between users collaborated with the common telecomputing environment. We realize the sharing method with multimedia data to improve the coworking effect using teleprocessing network. This sharing method advances the efficiency of communicating projects such as remote education, tele-conference, and co-authoring of multimedia contents by offering conveniences of presentation, group authoring, common management, and transient event productions of the users. As for the conventional sharing white board system, all the multimedia contents segments should be authored by the exclusive program, and we cannot use any existing contents or program. Moreover we suffer from the problem that ordering error occurs in the teleprocessing operation because we do not have any line-up technology for the input ordering of commands. Therefore we develop a method of retrieving input and output events from the windows system and the message hooking technology which transmits between programs in the operating system In addition, we realize the allocation technology of the processing results for all sharing users of the distributed computing environment without any error. Our sharing technology should contribute to improve the face-to-face coworking efficiency for multimedia contents authoring, common blackboard system in the area of remote educations, and presentation display in visual conference.

• Journal of Environmental Policy
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• v.13 no.1
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• pp.69-93
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• 2014

The aim of this research was to develop a climate change vulnerability index at the district level (Si, Gun, Gu) with respect to the health care sector in Korea. The climate change vulnerability index was esimated based on the four major causes of climate-related illnesses : vector, flood, heat waves, and air pollution/allergies. The vulnerability assessment framework consists of six layers, all of which are based on the IPCC vulnerability concepts (exposure, sensitivity, and adaptive capacity) and the pathway of direct and indirect impacts of climate change modulators on health. We collected proxy variables based on the conceptual framework of climate change vulnerability. Data were standardized using the min-max normalization method. We applied the analytic hierarchy process (AHP) weight and aggregated the variables using the non-compensatory multi-criteria approach. To verify the index, sensitivity analysis was conducted by using another aggregation method (geometric transformation method, which was applied to the index of multiple deprivation in the UK) and weight, calculated by the Budget Allocation method. The results showed that it would be possible to identify the vulnerable areas by applying the developed climate change vulnerability assessment index. The climate change vulnerability index could then be used as a valuable tool in setting climate change adaptation policies in the health care sector.

• Journal of the Korean Society of Marine Environment & Safety
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• v.14 no.1
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• pp.29-37
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• 2008

This study examined principles and techniques of efficient water quality management as well as total coastal pollutant loads and the relevant examples in the advanced countries from the viewpoints of water quality improvement and pollution control in coastal areas. The problems and improvements in an estimation of the current total pollutant loads were also pointed out. In addition, discussion was made on the relationship between total pollutant loads and environmental capacity as well as particulars requiring extensive examination on access to and study on water quality model used as prediction tool for marine environment. Furthermore, this study proposed details of and improvement plans for water quality control to be reflected and absorbed into systems and policies related to coastal water quality. In coastal areas, which are subject to total coastal pollutant loads, it is necessary to calculate pollutant loads reduction and allocation, to propose them in detail in statement in relations to new pollution sources for the corresponding projects or plans in environmental impact assessment and prior environmental review system. Also, in relations to regional plans for coastal management, the local government concerned must focus more on environmental management plan to implement data on pollution sources and pollutant loads flown into sea areas under basic jurisdiction, therefore it is required to actively respond to expansion and introduction of total coastal pollutant loads system in the future. Total coastal pollutant loads system must be expanded and executed by considering characteristics of sea area and changes in the environment of land. For pollution sources in land, the competent authorities in charge of coastal environment will need to initiatively administer supervision, monitoring activities and achieve integration and operation of the related laws by preparing legal bases for management system or adjusting the related laws.

• KDI Journal of Economic Policy
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• v.31 no.1
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• pp.239-276
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• 2009

The paper investigates the possible relationship between earnings prediction by security analysts and special ownership ties that link security companies those analysts belong to and firms under analysis. "Security analysts" are known best for their role as information producers in stock markets where imperfect information is prevalent and transaction costs are high. In such a market, changes in the fundamental value of a company are not spontaneously reflected in the stock price, and the security analysts actively produce and distribute the relevant information crucial for the price mechanism to operate efficiently. Therefore, securing the fairness and accuracy of information they provide is very important for efficiencyof resource allocation as well as protection of investors who are excluded from the special relationship. Evidence of systematic distortion of information by the special tie naturally calls for regulatory intervention, if found. However, one cannot presuppose the existence of distorted information based on the common ownership between the appraiser and the appraisee. Reputation effect is especially cherished by security firms and among analysts as indispensable intangible asset in the industry, and the incentive to maintain good reputation by providing accurate earnings prediction may overweigh the incentive to offer favorable rating or stock recommendation for the firms that are affiliated by common ownership. This study shares the theme of existing literature concerning the effect of conflict of interests on the accuracy of analyst's predictions. This study, however, focuses on the potential conflict of interest situation that may originate from the Korea-specific ownership structure of large conglomerates. Utilizing an extensive database of analysts' reports provided by WiseFn(R) in Korea, we perform empirical analysis of potential relationship between earnings prediction and common ownership. We first analyzed the prediction bias index which tells how optimistic or friendly the analyst's prediction is compared to the realized earnings. It is shown that there exists no statistically significant relationship between the prediction bias and common ownership. This is a rather surprising result since it is observed that the frequency of positive prediction bias is higher with such ownership tie. Next, we analyzed the prediction accuracy index which shows how accurate the analyst's prediction is compared to the realized earnings regardless of its sign. It is also concluded that there is no significant association between the accuracy ofearnings prediction and special relationship. We interpret the results implying that market discipline based on reputation effect is working in Korean stock market in the sense that security companies do not seem to be influenced by an incentive to offer distorted information on affiliated firms. While many of the existing studies confirm the relationship between the ability of the analystand the accuracy of the analyst's prediction, these factors cannot be controlled in the above analysis due to the lack of relevant data. As an indirect way to examine the possibility that such relationship might have distorted the result, we perform an additional but identical analysis based on a sub-sample consisting only of reports by best analysts. The result also confirms the earlier conclusion that the common ownership structure does not affect the accuracy and bias of earnings prediction by the analyst.