• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.47-55
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• 2016

As one of recent issues in the information and communication industry, internet of things has attracted attention to provide intelligent infrastructure services which connect and share data and information between real and virtual world. According to the development of these internet of things technologies, types of machines, telecommunication devices, and terminals are increasing tremendously. In this situation, connectivity and interoperability between internet of things components are important issues to build a hyper connected society. To visualize this society, it is important to set up and develop information and communication technology (ICT) standards among stakeholders. However, under limited budget and human resources, it is essential to rank standardization work items for setting standards with respect to efficiency. The purpose of this study is to provide a method for setting standardization strategies within group decision making. As a multi-criteria group decision making tool, analytic hierarchy process (AHP) is adopted and applied to determine the priorities of setting work items. The proposed method first defines decision making problem with objective, criteria, and alternatives which produces a hierarchy consisting of upper and lower criteria. Then, pairwise comparisons of academy and public sector experts are performed with respect to their relative meaning and importance. Individual surveys of expert groups are collected and summarized to determine relative criteria importance measures. Furthermore, to deliver reliable importance criteria measures, differences between academy and public sector expert groups are compared and tested using Mann-Whitney non-parametric test. The results are illustrated for useful guidelines to practical group decision making in standardization strategy establishments.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.21-29
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• 2007

We derive priority decision making on healthcare service technology standardization in the home network through the decision support process with industry professionals. We configured a research group with 4 industrial areas including Industry, Academic, Research Institution and Medical Institution. And we also applied AHP methodology for the priority decision making. The research group decides an evaluation criteria which are consisted of marketability, technology, ripple effect, strategy for national policies in order to make a priority for healthcare service on a home network. And it is also decided 7 fields and 24 sub-fields, technically. In order to make a priority for the standardization, we use an AHP methodology, that is more objective and feasible, as a decision tool. After two-phase survey that consists of paper survey and face to face meeting, we get a conclusion that home healthcare content is at the top and then wireless home network follows it.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.10a
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• pp.91-103
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• 2004

It is assumed that GIS can be a useful tool to encourage public participation in the spatial decision making process. This study aims to vitalize the use of PPGIS tools by designing and developing PPGIS services.

• Journal of Korean Society for Quality Management
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• v.16 no.2
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• pp.34-47
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• 1988

Decision support system (DSS) has been expected to be a powerful tool for aiding the decision making processes in business organizations. But it's contribution has turned to be somewhat doubtful, In this paper, an intergrated systems design apporach is suggested, which integrates DSS and expert system (ES) for the enhancement of performance of DSS, after carefully reviewing both DSS and ES.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.18 no.1
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• pp.59-67
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• 2009

The purpose of this study is to provide a decision support to select an appropriate layered manufacturing(LM) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model far molding, material property, build time and part cost that greatly affect the performance of LM machines. However, the selection of a LM is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate LM machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify LM machines that the users consider After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of LM machines.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.455-457
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• 2003

Diverse researches are working moving objects. The most important activities in a moving object database system are query and analysis of spatio -temporal data providing decision-making and problem solving support. Traditional spatial database query language and tools are inappropriate of the real world entities. This paper presents a spatio-temporal query and analysis tool with visual environment. It provides effective, interactive and user-friendly as well as statistic analysis. The moving objects database system stores plentiful moving objects data and performs spatio-temporal and nonspatio-temporal queries.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.53-59
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• 2021

This research aims to examine the model of investor herding behavior in making investment decisions in the Indonesian capital market, which is influenced by social and information impacting on the value of the Book Value Per Share (BVPS). The latest stock market conditions show that most investors make the same error pattern in making investment decisions that result in losses. The experiment involves two independent variables, namely, information about BVPS and social influence. This study used a 2×2 factorial design laboratory experimental method. Data collection was carried out through treatment of a sample of 100 individual investors listed on the Indonesia Stock Exchange. Univariate Two-Way Analysis of Variance (ANOVA) statistical tool was used to test the independent variable on the dependent variable. Research results showed that the social influence originating from expert investors is more influential than the Book Value Per Share (BVPS) information on the behavior of herding investors in making investment decisions. These findings suggest that investors know their psychological factors, thereby increasing self-control and investment analysis skills. Further research can use psychological bias and other indicators of accounting relevant information such as Earning Per Share (EPS) to test herding behavior in investment decision making in the capital market.

• Journal of muscle and joint health
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• v.20 no.3
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• pp.214-224
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• 2013

Purpose: The purpose of this study was to identify the differences in preference for terminal care between hospitalized patients and nurses. Methods: A cross-sectional descriptive design was used in 79 patients and 107 nurses. The data were collected from August to October 2011, using the Preference for Care near the End of life Scale - Korean Version (PCEOL-K) with 5-point scale of 26 items. The reliability of the tool was Cronbach's ${\alpha}=.74$. Results: The mean score (SD) of PCEOL-K's sub-dimensions in nurses' priority was: (a) pain $3.70{\pm}0.63$, (b) spirituality $3.63{\pm}0.61$, (c) family $3.40{\pm}0.70$, (d) autonomous decision making $2.30{\pm}0.66$, and (e) decision making by healthcare professionals $2.14{\pm}0.64$. In patients' priority, the $M{\pm}SD$ score of each sub-dimension was: (a) pain $3.86{\pm}0.65$, (b) family $3.83{\pm}0.57$, (c) decision making by healthcare professionals $3.37{\pm}0.85$, (d) spirituality $3.01{\pm}0.80$, and (e) autonomous decision making $2.43{\pm}0.63$. Results indicated significant differences between nurses and patients regarding decision making by healthcare professionals (t=-11.28, p<.001), family (t=-4.66, p<.001), and spirituality (t=5.71, p<.001). Conclusion: The PCEOL-K of patients was higher than nurses'. A terminal care program for hospitalized patients at the end of life should be planned according to the results of PCEOL-K in nurses and patients.

• Journal of Korean Critical Care Nursing
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• v.13 no.1
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• pp.27-43
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• 2020

Purpose : This integrative review aimed to synthesize studies on intensive care unit (ICU) nurses' attitude, perceptions, and experiences toward end-of-life care decision-making. Methods : Using Whittermore and Knafl (2005)'s methods, we identified and synthesized research articles published in domestic journals between the years 2003 and 2019 and evaluated the quality of selected articles using the Mixed Methods Appraisal Tool. Results : In the 13 studies reviewed, 12 were published prior to enactment of the "The Act for Hospice and Palliative Care and Decision-Making about Life-Sustaining Treatment (2018)." All nine quantitative studies identified were based on cross-sectional descriptive survey. In four qualitative studies, content analysis (n=2) and phenomenology (n=2) were used. Overall, ICU nurses were well-aware of the necessity of communicating and limiting life-sustaining treatments. Many ICU nurses had positive attitude towards limiting life-sustaining treatments to promote patients' comfort and dignity. Although nurses were willing to take active roles, they also reported having experienced high stress in the process of decision-making and implementation. Conclusions : It is important to prepare ICU nurses with proper knowledge and attitude regarding the topic area. It is also equally important to develop systems to support nurses' emotional stress and moral distress during communication, decision-making, and implementation.

• Korean Journal of Construction Engineering and Management
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• v.23 no.1
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• pp.89-97
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• 2022

Recently, various problems such as reduced productivity, insufficient inflow of skilled manpower, reduced quality, and concerns about increasing safety accidents have appeared in the domestic construction industry. Stakeholder of construction project are considering the Off-Site Construction (OSC) method rather than the conventional on-site construction as an alternative. Despite the importance of decision making in the early stage of the adoption of OSC, there is a lack of methodologies for rational decision making. In this study, a decision making system has been developed to derive the final construction cost score by deriving the project characteristics, selecting the construction difficulty index, and developing a cost model for each construction method alternatives to calculate the standard construction cost. Using this system, the OSC method can be effectively evaluated in terms of its feasibility in the early stage of construction