• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.187-194
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• 2011

The purpose of this study was to analyze the effects of internal marketing on job satisfaction and organizational commitment of secretaries working in IT based companies. Especially, to analyze the effects of internal marketing on secretaries in IT companies, this study has adopted job specialization rather than the comprehensive market point of internal customers. Through the analysis, the following results were obtained: firstly, internal marketing factors such as effectiveness of communication, various compensation systems, and chance of educational training have positive effects on job satisfaction and organizational commitment. Secondly, job satisfaction has no impact on organizational commitment. To be able to satisfy external customers through internal marketing, communication skills has be to improved between the workers in the company, and also various compensation systems and educational training should be provided more extensively. The secretary in the company is considered a vital link between the company and customer service. In this view, the result of this study is expected to provide some managerial strategies to decision maker in the company to establish a way to increase the satisfaction and needs of internal customers in applying internal marketing.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.407-419
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• 2017

In this paper, we aim to evaluate the effect of simulation training with a focus on the application of SBAR for the improvement of communication skills of nursing students with physician. The results of the analysis of 25 videos recorded pre/post-simulation were as follows: In terms of the SBAR score, "the most recently measured vital signs" in stage B increased significantly (Z = -2.448, p =.014); the frequency of step-by-step progress in SBAR did not advance to the SBA or SBAR stage in the pre-simulation stage, but increased to 48% post-simulation. The frequencies of SBAR evaluation items mentioned in the post-simulation were the following order: the name of the patient (96%), nurse's name (80%), most recently measured oxygen saturation (76%), and main symptoms (60%). The results of the nurse's judgment (A), request for additional prescription or request for the doctor's direct patient visit (R) were not mentioned. Therefore, it is necessary to consider the application of SBAR in simulation training, which requires problem solving through cooperation with physicians, because it has a positive effect on education in nurse-physician communication.

• Journal of Korean Academy of Nursing
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• v.23 no.3
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• pp.369-376
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• 1993

Since nursing has come of age both as a profession and as a scholarly discipline, there has been increasing concern with delineating its theory base. In 1978 Chinn and Jacobs asserted that “the development of theory is the most crucial task facing nursing today.” The basic building blocks of theories are concepts. Concept formation begins in infancy, for concepts help us to categorize and organize our environmental stimuli. Concepts help us to identify how our experiences are similar or equivalent by categorizing all the things that are alike about them. concepts can be primitive, concrete, or abstract. Concept Analysis is a strategy that examines the attributes or characteristics of a concept. It is a formal, linguistic exercise to determine those defining attributes. It encourages communication. Its basic purpose is to distinguish between the defining and irrelevant attributes of a concept similarities. It is a process of determining the differences between concepts and it is useful for several reasons. It is an excellent way to begin examining information in preparation for research or theory construction and results in an operational definition and a list of defining attributes and antecedents. It provides the scientist with an excellent beginning for a new tool, is an excellent way of evaluating an old one and is useful in evaluating existing instruments. The steps of concept analysis are : 1. Select a concept, 2. Determine the aims or purposes of the analysis, 3. Identify all uses of the concept that you can discover, 4. Determine the defining attributes, 5. Construct a model case, 6. Construct borderline, re-lated, contrary, invented, and illegitimate cases, 7. Identify antecedents and consequences, 8. Define empirical referents. In this paper, the concept selected for analysis was Love. The concept of love is of great interest to nursing because loving care is considered vital to the nursing care of patients. The aims of the concept analysis of love were to clarify the meaning of love, to develop an operational definition for it and to contribute to existing nursing theory. Love influences the quality of life which is the goal of nursing according to Parse in her Human Becoming Theory. Lived experiences are the entities for study in Parse's Research Methodology. Human caring, human understanding, and human becoming are the most important issues in lived experiences. In this research, dictionaries and literature from nursing philosophy and other human disciplines were used to identify the concept of love. As many different instances of the concept as could be found were examinned. The model case was a real life example of the use of the concept. Next borderline, related, invented, and contrary cases were constructed for the purpose of providing examples of “not the concept” and for promoting further understanding of the concept being discussed. The defining attributes of the concept of love were concern, responsibility, respect, understanding and dedication. Love was defined as showing concern and understanding. relating with mutual respect and dedicating oneself responsibly to others. Concept analysis is a highly creative activity and may add significant new information to a given area of interest. It is a strategy for developing a concept based on observation or other forms of empirical evidence. The purpose of concept analysis is to generate new ideas. It provides a method of examining data for new insights that contribute to theoretical development. This concept analysis suggests that a nurse’s love for patients is shown in the process of giving oneself in mutual relationships of responsibility and respect and in continuously providing understanding and quality human care for them.

• Journal of the Korean Institute of Landscape Architecture
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• v.18 no.3 s.39
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• pp.171-190
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• 1990

It is the purpose of this study to address how to manage the urban vegitation using the concept of Urban Forestry which is relatively new to Korea. When we consider the Urban Forestry as a science, We should understand it interdisciplinary subject which includes Forestry, Horticulture, Urban Planning, Landscape Design, Landuse Planning, Business and Humanities. It may say that people and tree are the fundermental components of Urban Forestry. So there are two ways of Urban Forestry Applications-How people care for trees and How trees care for People-. For the application, this study places the focus on the monetary valuation, tree inventory system and traditional forestry application to urban forest management. Pubic Relation, Communication, Ordinances and Budget are also mentioned as a part of Urban Forestry Policy. Monetary valuation of trees and forests is very important for the proper cognition of their real value. So that, they may be equated and weighed against conflicting uses which would cause to be removed or severely mutilated. A tree inventory system which is the essential part of urban tree management can provide the pertinent information about the present condition of urban tree resource. It may aid in reducing the subjectivity of tree management decisions and stimulate them to be made rapidly and can help reduce potential municipal liability by identifying serious problems in time for corrective maintenance practices to be applied for the maximize community benefits and minimimize public nuisances or hazards. Managers can derive the information from the inventory and use it for the various management plan. When we see the structure of tree inventory system as one of the data base management system, Computer is the best equipment for the efficient management plan. Public relation and communication is also important factors to care the people for urban vegetation management. Volunteer management system is a good example for the public relation and communication. Those skills are need to develop for using the priceless, valuable human resources. Budget holds the key to the execution of Urban Forestry. Good inventory can provide for efficient budgeting stratiges through it's scientific analysis for the way of maximum benefits and minimum costs. Forest can be play a vital role for the aesthetic improvement and recreation in the city. This study suggests that the traditional sivicultural application not only improve the quality of scenic beauty and recreation but also the products of timber. So it is more needed to study for strong and scientific application to urban forest management.

• Korean journal of communication and information
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• v.71
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• pp.194-223
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• 2015

This study explores a value chain structure of TV program including news, drama, and comedy. The purpose of this research focused on factor analysis and the relationship among viewer's program selection motivations. This research explores correlation between personal value and viewing motivation. This study was to identify the value structure of respondent on TV program(news, drama, comedy) based on means-end chain theory. The research used structured APT laddering questions and 251 data was analysed. Through such analysis, category difference by stage and relationship difference were identified and hierarchical value map was compared. There are four different value ladders: first is attributes, functional consequences, psychological consequences, and final value. The result shows that on news program the basic function is viewers are want to visual factor and quickly acquire social news and they pursue a value of personal social relationship. Whereas, on drama program, the viewers are reflected by around person, and they selected a program based on closed related person. In addition, the viewers are influenced by program's social nomination, production's brand in drama, and performer's nomination, producer and program prominence on comedy. The program selection is highly correlated on program selection's credibility, vital energetic life, and social relationship. The results shows that there was no significant difference between low involvement group and high involvement group for main category involvement group respondents.

• Management & Information Systems Review
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• v.35 no.4
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• pp.229-250
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• 2016

This research was conducted to examine the effects of cognitive and emotional empathy amongst employees, and its contribution to the enhancement of the effectiveness of an organization. Further, 'job stress' was used as the moderating value. For this purpose, examination procedures were based on theoretical ground drawn from previous research papers, and an appropriate hypothesis established. Statistical methods were also employed to obtain empirical evidence. This study consisted of four variables. The independent variable is categorised into the factors of cognitive and emotional empathy. Job stress as the moderating value as well as job satisfaction and turnover intention as members of the dependent variable. A survey was carried out targeting employees of numerous firms working in teams, and a total of 324 samples were collected and processed by the software package SPSS 21 for windows as a means to verify the set study model and hypothesis. The results of the study are as follows: The two factor of cognitive and emotional empathy did not present with any significant effects. However, cognitive empathy in relation to job stress was found to inflict negative effects. The study also found the two factors to play a significant role in asserting positive effects on an individual's level of satisfaction on his/her job. While the study further explained that cognitive understanding had the tendency to impose negative effects on the turnover intention, emotional empathy did not demonstrate significant effects. Job related stress negatively effects the level of satisfaction of an individual's given task or a job and positive relation with turnover intention. It was confirmed that job stress had a degree of intermediary role upon other factors such as empathy, job satisfaction and turnover intention. The results of the study purported that empathy can raise the level of an individual's job satisfaction and kerb turnover intention. In order to accomplish depreciated levels of job related stress, it is vital that firms consistently input fervent endeavours to be subserved. It must be able to create an environment wherein employees may enjoy the improved structure of the company to empathies with each other. These transitions would allow firms to achieve maximum efficiency and improvements on the effectiveness of an organization.

• The Korean Journal of Archival Studies
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• no.52
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• pp.315-342
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• 2017

Language is an important medium for communication among the members of society and a mirror that reflects society as a whole. As society and culture change and develop over centuries, language follows suit. To keep up with the changes in the new era and express new concepts, countless new neologisms continue to appear. Recently, the use of neologisms is getting increasingly focused on social networking service and other Internet communication sites, which then spread rapidly through various media. If you look at the popular neologisms on the Internet, it implicitly reflects conflicts between the eras and the generations, people's psychology and ideology, and social phenomena such as culture. The function of neologisms is not solely for the entertainment element of communication but also for criticizing social problems and their vital use as a search keyword. This study focuses on the meaning and importance of gathering information and analyzing records about neologisms that reflect the social phenomenon in a certain period, and this will be labeled as "neologism archiving." This study proposes a direction for the construction of a neologism archive by comparing the currently existing neologism archiving system with the existing dictionary concept. In addition, this study serves as a reminder of the convenience and the contemporary social phenomena, such as smooth communication between generations, and the dissemination of inequality of information sharing. Lastly, this study aims to support experts with their research on neologisms for the social phenomenon.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.107-119
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• 2023

The technology that recognizes a soldier's motion and movement status has recently attracted large attention as a combination of wearable technology and artificial intelligence, which is expected to upend the paradigm of troop management. The accuracy of state determination should be maintained at a high-end level to make sure of the expected vital functions both in a training situation; an evaluation and solution provision for each individual's motion, and in a combat situation; overall enhancement in managing troops. However, when input data is given as a timer series or sequence, existing feedforward networks would show overt limitations in maximizing classification performance. Since human behavior data (3-axis accelerations and 3-axis angular velocities) handled for military motion recognition requires the process of analyzing its time-dependent characteristics, this study proposes a high-performance data-driven classifier which utilizes the long-short term memory to identify the order dependence of acquired data, learning to classify eight representative military operations (Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, and High Crawl). Since the accuracy is highly dependent on a network's learning conditions and variables, manual adjustment may neither be cost-effective nor guarantee optimal results during learning. Therefore, in this study, we optimized hyperparameters using Bayesian optimization for maximized generalization performance. As a result, the final architecture could reduce the error rate by 62.56% compared to the existing network with a similar number of learnable parameters, with the final accuracy of 98.39% for various military operations.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.325-350
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• 2023

This study focuses on the impact of research data metadata quality evaluation index on the revitalization of K-BDS, a research data platform in the bio field, and examines the mediating effect of motivation factors for utilizing the platform. The investigation employs a structural equation model analysis and bootstrap analysis to explore the interrelationships among the three variables. The findings demonstrate that researchers who prioritize the quality of metadata display higher motivation to use the research data platform, leading to an intention to activate the platform. The study also confirms the mediating effect of motivation factors. Moreover, a comprehensive understanding of the sub-factors within each variable is attained through regression analysis and Sobel test. The results highlight that enhancing searchability is crucial to activate research data sharing in the bio field, while improving discoverability is vital for research data reuse. Interestingly, the study reveals that citationability does not significantly impact platform activation. As a conclusion, to foster platform activation, it is imperative to provide systematic support by enhancing metadata quality. This improvement can not only increase trust in the platform but also institutionally solidify the benefits of citation.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.241-265
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• 2023

A corporate insolvency prediction model serves as a vital tool for objectively monitoring the financial condition of companies. It enables timely warnings, facilitates responsive actions, and supports the formulation of effective management strategies to mitigate bankruptcy risks and enhance performance. Investors and financial institutions utilize default prediction models to minimize financial losses. As the interest in utilizing artificial intelligence (AI) technology for corporate insolvency prediction grows, extensive research has been conducted in this domain. However, there is an increasing demand for explainable AI models in corporate insolvency prediction, emphasizing interpretability and reliability. The SHAP (SHapley Additive exPlanations) technique has gained significant popularity and has demonstrated strong performance in various applications. Nonetheless, it has limitations such as computational cost, processing time, and scalability concerns based on the number of variables. This study introduces a novel approach to variable selection that reduces the number of variables by averaging SHAP values from bootstrapped data subsets instead of using the entire dataset. This technique aims to improve computational efficiency while maintaining excellent predictive performance. To obtain classification results, we aim to train random forest, XGBoost, and C5.0 models using carefully selected variables with high interpretability. The classification accuracy of the ensemble model, generated through soft voting as the goal of high-performance model design, is compared with the individual models. The study leverages data from 1,698 Korean light industrial companies and employs bootstrapping to create distinct data groups. Logistic Regression is employed to calculate SHAP values for each data group, and their averages are computed to derive the final SHAP values. The proposed model enhances interpretability and aims to achieve superior predictive performance.