• Journal of Korean Tunnelling and Underground Space Association
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• v.26 no.5
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• pp.477-488
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• 2024

The Korean government amended the Facilities Safety Act in 2018 to establish a performance-based maintenance system. This system is designed to comprehensively evaluate the safety, durability, and usage performance of facilities required to maintain their function in use, and to establish corresponding maintenance plans. However, the current maintenance system of utility tunnels is managed by a safety-oriented evaluation method, which has limitations in conducting performance evaluations that consider durability and usage performance. Therefore, in this study, safety, durability, and usage performance items for utility tunnels were selected using the Delphi method, and the weight of each item was calculated using the entropy weighting method. The results of this study are expected to be used in future performance evaluations of utility tunnels to support rational decision making when establishing maintenance plans.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.17-45
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• 2024

Purpose - This paper studies the impact of digital transformation on corporate performance based on the stakeholder and dynamic capability theories. Digital transformation is divided into digital technologies (big data, artificial intelligence, blockchain, and cloud computing) and digital technology practical applications. Corporate performance includes financial performance and non-financial performance. The mechanism of dynamic capabilities (innovation capability, absorptive capacity, and adaptive capacity) is further explored. Design/methodology/approach - A fixed-effects model is used to construct a panel data of China's Shanghai and Shenzhen A-share listed companies from 2011 to 2023, and Stata is used for empirical analysis. Findings - In general, digital transformation directly improves corporate performance and indirectly promotes corporate performance through dynamic capabilities (innovation, absorptive capacity, and adaptive capacity). After robustness and endogeneity tests, the conclusion still support. In terms of subdivision, the two dimensions of digital transformation and the practical application of digital technology have different effects on corporate financial performance and non-financial performance. Research implications or Originality - Theoretically, the mechanism of digital transformation on corporate performance is fully and deeply explored, filling the research gap whiting this study. Additionally, the model is constructed using the innovation, absorption and adaptability of dynamic capabilities, providing a different perspective. Practically, it helps to alleviate the current situation of some companies "not wanting to transform" or "not daring to transform", and also clarifies how digital transformation can help companies use dynamic capabilities to improve performance. It provides a decision-making basis for government departments to promote the integration of digital economy and real economy, so that digital transformation can better empower and release corporate performance, thereby promoting the development of China's economy.

• The Journal of Information Systems
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• v.33 no.3
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• pp.187-205
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• 2024

Purpose A prediction model for occupational injuries can support more proactive, efficient, and effective policy-making. This study aims to develop a model that predicts the severity of occupational injuries, classified into 15 disability grades in South Korea, using machine learning techniques applied to COMWEL data. The primary goal is to improve prediction accuracy, offering an advanced tool for early intervention and evidence-based policy implementation. Design/methodology/approach The data analyzed in this study consists of 290,157 administrative records of occupational injury cases collected between 2018 and 2020 by the Korea Workers' Compensation & Welfare Service, based on the 'Workers' Compensation Insurance Application Form' submitted for occupational injury treatment. Four machine learning models - Decision Tree, DNN, XGBoost, and LightGBM - were developed and their performances compared to identify the optimal model. Additionally, the Permutation Feature Importance (PFI) method was used to assess the relative contribution of each variable to the model's performance, helping to identify key variables. Findings The DNN algorithm achieved the lowest Mean Absolute Error (MAE) of 0.7276. Key variables for predicting disability grades included the severity index, primary disease code, primary disease site, age at the time of the injury, and industry type. These findings highlight the importance of early policy intervention and emphasize the role of both medical and socioeconomic factors in model predictions. The academic and policy implications of these results were also discussed.

• Journal of Science and Technology Studies
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• v.16 no.2
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• pp.99-147
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• 2016

This paper critically reviews the previous discussion over public engagement with science and technology by Science and Technology Studies literatures with a focus on justification and acceptance. Recent studies pointed out that the "participatory turn" after the late 1990s was followed by confusion and disagreement over the meaning and agency of public engagement. Their discussion over the reproduction of the ever-present boundary between science and society along with so-called late modernity and post-normal science and sometimes through the very processes of public engagement draws fresh attention to the old problem: how can lay participation in decision-making be justified, even if we agree that privileging the position of experts in governance of science and technology is no longer justified? So far STS have focused on two conditions for participatory turn-1) uncertainties inherent in experts' ways of knowing and 2) practicability of lay knowledge. This paper first explicated why such discussion has not been logically sufficient nor successful in promoting a wide and well-thought-out acceptance of public engagement. Then the paper made a preliminary attempt to explain what new types of expertise can support the construction and sustainment of participatory governance in science and technology by focusing on one case of lay participation. The particular case discussed by the paper revolves around the actions of a civil organization and an activist who led legal and regulatory changes in wind power development in Jeju Special Self-governing Province. The paper analyzed the types of expertise constructed to be effective and legitimate during the constitution of participatory energy governance and the local society's support for it. The arguments of this paper can be summarized as follows. First, an appropriate basis of the normative claim that science and technology governance should make participatory turn cannot be drawn from the essential characteristics of lay publics-as little as of experts. Second, the type of 'expertise' which can justify participatory governance can only be constructed a posteriori as a result of the practices to re-construct the boundaries between factual statements and value judgment. Third, an intermediary expertise, which this paper defines as a type of expertise in forming human-nonhuman associations and their new pathways for circulations, made significant contribution in laying out the legal and regulatory foundation for revenue sharing in Jeju wind power development. Fourth, experts' conventional ways of knowing need to be supplemented, not supplanted, by lay expertise. Ultimately, the paper calls for the necessity to extend STS discussion over governance toward following the actors. What needs more thorough analysis is such actors' narratives and practices to re-construct the boundaries between the past and present, facts and values, science and society. STS needs a renewed focus on the actual sites of conflicts and decision-making in discussing participatory governance.

• Korean Journal of Construction Engineering and Management
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• v.24 no.6
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• pp.24-35
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• 2023

Recently, the Ministry of Land, Infrastructure and Transport presented the '6th Construction Technology Promotion Basic Plan' and 'Smart Construction Revitalization Plan (2022.7.20)'. Off-Site Construction (OSC), which involves construction and production of PC (Precast Concrete) and Modular, etc., has advantages in shortening the construction period, reducing costs, improving quality, reducing construction waste, and reducing safety accidents. However, the construction cost is high compared to the traditional RC construction method, which has hindered its utilization and spread. In this study, OSC utilization was improved. An economic analysis indicator and methodology that can support decision-making in the planning and design stages for multi-unit housing were proposed. The factors used in the economic analysis of OSC (based on the PC method) of apartment houses were reviewed. As for the indicators used in the cost and benefit section, 'Construction Period', 'Disaster Occurrence', 'Waste Generation', and 'Greenhouse gas Emission', which reflect the technical advantages of OSC, were derived. In addition, a scenario analysis was conducted based on actual apartment housing case data for the presented economic analysis indicators and benefit calculation standards. The level of benefit that offsets the difference between the existing RC construction method and the construction cost was reviewed. In future studies, it will be necessary to conduct additional case studies to apply the measurement criteria for detailed indicators and supplement the benefit indicators.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.1
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• pp.66-77
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• 2006

Considering constantly increasing number of internet users and information-oriented society with high speed internet network, the application of computer technology is considered to be valuable in urban planning. Particularly, since using Geographic Information System (GIS) is expected to be the best method to convey the information related to the urban planning. Therefore, this study aims at the development of participation system by using GIS and Internet. The system consists of Basic Module, Disposal Module and Decision Support Module. Each module is designed for expressing planning information and processing database, opinion statement and convenience of citizens, and the effectiveness of administration process and decision making. These are connected each other in a basic and simple form, i.e. Java Script and HTML, and the system was realized through data process, Map date and PostGIS for Mapping, and PHP. Last but not least, this system has been tested on the internet and the result indicated its convenience and availability in actual use concluding that participation system has enough application value on urban planning process.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.4
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• pp.309-316
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• 2020

Waterway design should prioritize appropriate channel width to ensure preferential safe passage for the arrival and departure of vessels. To calculate the minimum channel width required for safe passage a comprehensive review of several factors is required. These factors include vessel maneuverability, determined by vessel size, type and speed; environmental factors such as wind, tide, and wave action; human factors, including personal experience and operator judgment as well as marine traffic and navigation support facilities for decision making. However, the Korean channel width design standard is based only on vessel length, and requires improvement when compared with the standards of PIANC, USA, and Japan. This study aims to estimate the appropriate channel width required for one-way traffic in a straight channel, considering various vessel and environmental factors, using Fast Time Simulation (FTS). When the wind speed is 25 knots, with a current speed of 2 knots and a normal vessel speed of 10 knots FTS shows that a 150K GT Cruise Ship requires a minimum channel width of 0.67-0.91 the vessel length (L), whereas a 120K TEU Container Ship and a 300K DWT VLCC require 0.79-1.17 and 1.02-1.59, respectively. Such results can be used to calculate the minimum channel width required for safe passage as an improved Korean design standard.

• Journal of the Korean Association of Geographic Information Studies
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• v.4 no.1
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• pp.34-46
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• 2001

The Boolean logic analysis method using GIS as a spatial decision support system(SDSS) contains two problems. One is losing a lots of informations in analysis process, the other is unable to reflect of different weights between analysis items. The purpose of this study is to provide a new decision-making model for site analysis, that provides a rational and systemic way using fuzzy sets theory and analytic hierarchy process(AHP) theory. According to this study of technopark in Pohang, Boolean logic method did not reflect the influence of the differently weighted items and selected only 8.0% to 16.1% of the area for suitable sites for residence, commercial/research, park/green uses. The fuzzy sets theory and AHP theory method were able to reflect the influence of differently weighted items and selected 32.9% to 37.4% of the area for the best sites, and also provided more other kinds of informations. The results of this study show that GIS system using fuzzy sets theory and AHP proess method provides a more flexible and objective solutions for site analysis.

• Journal of Hospice and Palliative Care
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• v.20 no.2
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• pp.93-99
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• 2017

Purpose: This study investigated changes in life-sustaining treatments in terminally ill cancer patients after consenting to a do-not-resuscitate (DNR) order. Methods: Electronic medical records were reviewed to select terminally ill cancer patients who were treated at the oncology unit of the Asan Medical Center, a tertiary hospital in South Korea and died between January 1, 2013 and December 31, 2013. Results: The median (range) age of the 200 patients was 59 (22~89) years, and 62% (124 persons) were male. Among all patients, 83.5% were aware of their medical condition, and 47.0% of the patients had their DNR order signed by their spouses. The median of the patients' hospital stay was 15 days, and time from admission to DNR decision was 10 days. After signing a DNR order, 35.7~100% of the life-sustaining treatments that had been provided at the time of the DNR decision making were administered. The most commonly discontinued interventions were transfusion (13.5%), blood test (11.5%) and parenteral nutrition (8.5%). Conclusion: It is necessary to define the scope of life-sustaining treatments for DNR patients. Treatment guidelines should be established as well to secure terminal patients' death with dignity after their consent to a DNR order, thereby avoiding meaningless life-sustaining treatments and allowing administration of active terminal care interventions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1650-1662
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• 2014

This study aimed to develop smartphone application contents for the medication reconciliation of high-alert medications and to evaluate the satisfaction for this application. The xcode 4.5 and ios 6.1 SDK(software development kit) were used for constructing screen of the system. After implementation during 4 weeks, thirty five ICU(Intensive Care Unit) nurses were asked function related, contents related, and usage related satisfaction using 12 items. And differences of satisfaction according to the number of daily use and the frequency of use were evaluated. Data were analyzed using descriptive analysis, ANOVA with the SPSS 18.0. We developed the formula for drug dosage calculation, the alarming procedure, and the information of the high alert medication. In the satisfaction items, the mean score of 'This application is helpful to perform drug dosage calculation' was 3.14. However, 'I satisfy this application' was relatively low as 2.94. There were no differences in satisfaction according to the daily use and frequency of use. Based on the results of this study, more advanced smartphone application for medication reconciliation of high-alert medications will provide an important platform for patient safety.