• Perspectives in Nursing Science
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• v.10 no.2
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• pp.158-166
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• 2013

Purpose: This study was conducted to investigate patient safety regulations and guidelines in order to understand their current status, and to examine support measures to improve patient safety in Korean hospitals. Methods: The participants were the safety officers from hospitals with 200 or more beds and 112 hospitals responded to the online survey. The questions covered patient safety regulations, the performance level of patient safety activities, patient safety incident reporting systems, the dedicated professional, training, support mechanisms, and expectations of reporting systems. Results: Among preventative measures, fall prevention and hand hygiene were reported to be most widely practiced (92% and 91%, respectively). Time-out for invasive procedures showed a relatively low practice rate at 70%. Among patient care activities, transfusion, surgery and sedation, medication, and infection management were performed by 84, 74, 93 and 93% of the hospitals, respectively. Patient safety activities included patient safety committee, patient safety cooperation between decision-making bodies, patient safety workshops, seminars, lectures, and training for employees. Conclusion: Patient safety regulations and guidelines have not yet been sufficiently prepared, and a public institution such as a certification authority is of crucial importance to enforce these guidelines.

• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.82-86
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• 2012

In For the past few years, query log data has been collected to find user's behavior in using the site. Many researches have studied on the usage of query logs to extract user's preference, recommend personalization, improve caching and pre-fetching of Web objects, build better adaptive user interfaces, and also to improve Web search for a search engine application. A query log contain data such as the client's IP address, time and date of request, the resources or page requested, status of request HTTP method used and the type of browser and operating system. A query log can offer valuable insight into web site usage. A proper compilation and interpretation of query log can provide a baseline of statistics that indicate the usage levels of website and can be used as tool to assist decision making in management activities. In this paper we want to discuss on the tasks performed of query logs in pre-processing of web usage mining. We will use query logs from an online newspaper company. The query logs will undergo pre-processing stage, in which the clickstream data is cleaned and partitioned into a set of user interactions which will represent the activities of each user during their visits to the site. The query logs will undergo essential task in pre-processing which are data cleaning and user identification.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1499-1506
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• 2017

The use of smartphones and the launch of various apps have increased exponentially, and malicious apps have also increased. Existing app recommendation systems have been limited to operate based on static information analysis such as ratings, comments, and popularity categories of other users who are online. In this paper, we first propose a robust app recommendation system that realistically uses dynamic information of apps actually used in smartphone and considers static information and dynamic information at the same time. In other words, this paper proposes a robust Android app recommendation system by partially reflecting the time of the app, the frequency of use of the app, the interaction between the app and the app, and the number of contact with the Android kernel. As a result of the performance evaluation, the proposed method proved to be a robust and efficient app recommendation system.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.81-89
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• 2020

Online reviews we encounter commonly on SNS, although a complex range of assessment information affecting the consumer's preferences are included, it is general that such information is just provided by simple numbers or star ratings. Based on those review types, it is not easy to get specific information that consumers want and use it to make a decision for purchase. Therefore, in this study, we propose a prediction methodology that can provide ratings broken down by evaluation items by performing sentiment analysis on restaurant reviews written in Korean. To this end, we select 'food', 'price', 'service', and 'atmosphere' as the main evaluation items of restaurants, and build a new sentiment dictionary for each evaluation item. It also classifies review sentences by rating item, predicts granular ratings through sentiment analysis, and provides additional information that consumers can use to make decisions. Finally, using MAE and RMSE as evaluation indicators it shows that the rating prediction accuracy of the proposed methodology has been improved than previous studies and presents the use case of proposed methodology.

• Safety and Health at Work
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• v.6 no.4
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• pp.305-311
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• 2015

Background: The purpose of this study was to examine the relationship nursing personal and workplace system factors (work disability) and work ability index scores in Ontario, Canada. Methods: A total of 111 registered nurses were randomly selected from the total number of registered nurses on staff in the labor, delivery, recovery, and postpartum areas of four northeastern Ontario hospitals. Using a stratified random design approach, 51 participants were randomly selected in four northeastern Ontario cities. Results: A total of 51 (45.9% response rate) online questionnaires were returned and another 60 (54.1% response rate) were completed using the paper format. The obstetric workforce in northeastern Ontario was predominately female (94.6%) with a mean age of 41.9 (standard deviation = 10.2). In the personal systems model, three variables: marital status (p = 0.025), respondent ethnicity (p = 0.026), and mean number of patients per shift (p = 0.049) were significantly contributed to the variance in work ability scores. In the workplace system model, job and career satisfaction (p = 0.026) had a positive influence on work ability scores, while work absenteeism (p = 0.023) demonstrated an inverse relationship with work ability scores. In the combined model, all the predictors were significantly related to work ability scores. Conclusion: Work ability is closely related to job and career satisfaction, and perceived control at work among obstetric nursing. In order to improve work ability, nurses need to work in environments that support them and allow them to be engaged in the decision-making processes.

• Informatization Policy
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• v.28 no.3
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• pp.23-48
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• 2021

ICT technology development has led to a breakthrough change in government decision making by improving mutual communication between various stakeholders. The formation of ICT-based cooperation network between public organizations and civic tech developers to solve the problem of masks in the COVID-19 pandemic serves as a milestone. The purpose of this study is to examine the properties of e-Governance and analyze the dynamic network structure of the communication process for chat rooms created during the development of public mask apps. First, as a result of the analysis, the possibility of online-based e-Governance can be identified. In addition, the combination of expertise to solve social problems interacted organically within the network. Emotional communication for cooperation between key actors was marked as important for the successful operation of the network.

• Journal of Korean Medicine Rehabilitation
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• v.29 no.1
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• pp.41-61
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• 2019

Objectives The purpose of this survey was to investigate the using experiences and attitudes of general public toward the East-West collaborative medical practices (EWCMP). Methods We selected objects in general public and structured questionnaires were administrated to both 295 offline participants and 795 online participants. The data was collected from 15 to 28 February 2016 and analyzed statistically by frequency, ${\chi}^2$ cross-over analysis with SPSS software. Results The total number of participants was 1,090 and 66.1% of them has heard but only 19.5% has ever used EWCMP. For participants who has used EWCMP, the decision to use it was made by themselves (53.2%), 44.0% of them was satisfied with EWCMP, 89.4% of them showed revisiting intention to EWCMP hospital, and 72.2% of them showed the intention to introduce EWCMP to others. And 52.3% of them were optimistic about the prospects of EWCMP, especially in the field of disease treatment (49.9%) and rehabilitation (20.6%). On the reasons for lack of development of EWCMP, 31.9% of them listed prejudices existing on both sides firstly (31.9%). Preferred type of EWCMP was to use both western and Korean medical treatment at the same weight (53.9%). To promote EWCMP, it is required to confirm the concept of collaborative medical practice to the medical professions and government authorities (29.5%). Conclusions Considering low proportion of utilization and positive attitude toward the EWCMP among general populations, it is need to introduce or advertise EWCMP to them.

• The Korean Journal of Applied Statistics
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• v.32 no.3
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• pp.391-404
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• 2019

Customers' fixed characteristics have often been used to predict customer behavior. It has recently become possible to track customer web logs as customer activities move from offline to online. It has become possible to collect large amounts of web log data; however, the researchers only focused on organizing the log data or describing the technical characteristics. In this study, we predict the decision-making time until each customer makes the first reservation, using Airbnb customer data provided by the Kaggle website. This data set includes basic customer information such as gender, age, and web logs. We use various methodologies to find the optimal model and compare prediction errors for cases with web log data and without it. We consider six models such as Lasso, SVM, Random Forest, and XGBoost to explore the effectiveness of the web log data. As a result, we choose Random Forest as our optimal model with a misclassification rate of about 20%. In addition, we confirm that using web log data in our study doubles the prediction accuracy in predicting customer behavior compared to not using it.

• Journal of Information Technology Services
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• v.21 no.4
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• pp.1-26
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• 2022

Recently, the number of cases of purchasing food online has been increased, especially in the open market. Therefore, we examined the characteristics of status quo bias and switching costs in the open market. Also, in this study, the causal relationship between the characteristics of status quo bias and switching costs, switching costs and switching intention in the open market was investigated. The analysis result consists of four parts as follows. First, in the open market, rational decision making, which belongs to the characteristics of status quo bias, was found to have a positive (+) effect on time switching cost among switching costs, but did not have a positive (+) effect on economic and psychological switching cost. Second, cognitive misperceptions was consistent with the assumption that it have a positive (+) effect on all of the economic, time, and psychological switching cost, which are switching costs in the open market. Third, psychological commitment was found to have a positive (+) effect on economic and time switching cost among switching costs, but did not have a positive (+) effect on psychological switching cost. Fourth, psychological switching cost, which belongs to switching costs in the open market, was found to have a negative (-) effect like the hypothesis set in switching intention. However, it was found that economic and time switching cost did not have a negative (-) effect on switching intention. This study subdivided the switching costs into three dimensions and compared the degree of influence on the switching intention, and the degree of influence was different for each dimension. Therefore, it was found that when switching from the existing open market to the new open market, it is not possible to simply judge that the switching costs directly has a negative (-) effect on the switching intention or does not.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.2
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• pp.157-177
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• 2022

This study, in relation to the decision to designate April 12 as the Library Day and the week from that day as the Library Week starting in 2023 in accordance with the amendment of the Libraries Act, suggests ways how the Library Week could be activation plan based on the analysis of the meaning and history of the Library Week which started in 1964 and cases of the use of library week at home and abroad. The uses of library week at home and abroad were analyzed and based on the implications drawn, suggestions for promoting the Library Week, were made in terms of three aspects - efficient methods for using the Library Week, changes in programs, diversification of promotional strategies. This paper suggests in order to promote the Library Week, various ways of running events, online and offline platforms, honorary ambassadors, unique commemorative events, national campaigns, archiving and all-year-round promotional channels and system are needed. This study could be used as a reference for promoting the Library Day and Library Week that will start in 2023.