• Asia pacific journal of information systems
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• 제19권2호
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• pp.1-42
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• 2009

In a knowledge-based society, a firm's intellectual capital represents the wealth of ideas and ability to innovate, which are indispensable elements for the future growth. Therefore, the intellectual capital is evidently recognized as the most valuable asset in the organization. Considered as intangible asset, intellectual capital is the basis based on which firms can foster their sustainable competitive advantage. One of the essential components of the intellectual capital is a social capital, indicating the firm's individual members' ability to build a firm's social networks. As such, social capital is a powerful concept necessary for understanding the emergence, growth, and functioning of network linkages. The more social capital a firm is equipped with, the more successfully it can establish new social networks. By providing a shared context for social interactions, social capital facilitates the creation of new linkages in the organizational setting. This concept of "person-environment fit" has long been prevalent in the management literature. The fit is grounded in the interaction theory of behavior. The interaction perspective has a fairly long theoretical tradition, beginning with proposition that behavior is a function of the person and environment. This view asserts that neither personal characteristics nor the situation alone adequately explains the variance in behavioral and attitudinal variables. Instead, the interaction of personal and situational variables accounts for the greatest variance. Accordingly, the person-environment fit is defined as the degree of congruence or match between personal and situational variables in producing significant selected outcomes. In addition, information systems acceptance factors enable organizations to build large electronic communities with huge knowledge resources. For example, the Intranet helps to build knowledge-based communities, which in turn increases employee communication and collaboration. It is vital since through active communication and collaborative efforts can employees build common basis for shared understandings that evolve into stronger relationships embedded with trust. To this aim, the electronic communication network allows the formation of social network to be more viable to rapid mobilization and assimilation of knowledge assets in the organizations. The purpose of this study is to investigate: (1) the impact of person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) on social capital(network ties, trust, norm, shared language); (2) the impact of information systems acceptance factors(availability, perceived usefulness, perceived ease of use) on social capital; (3) the impact of social capital on personal performance(work performance, work satisfaction); and (4) the mediating role of social capital between person-environment fit and personal performance. In general, social capital is defined as the aggregated actual or collective potential resources which lead to the possession of a durable network. The concept of social capital was originally developed by sociologists for their analysis in social context. Recently, it has become an increasingly popular jargon used in the management literature in describing organizational phenomena outside the realm of transaction costs. Since both environmental factors and information systems acceptance factors affect the network of employee's relationships, this study proposes that these two factors have significant influence on the social capital of employees. The person-environment fit basically refers to the alignment between characteristics of people and their environments, thereby resulting in positive outcomes for both individuals and organizations. In addition, the information systems acceptance factors have rather direct influences on the social network of employees. Based on such theoretical framework, namely person-environment fit and social capital theory, we develop our research model and hypotheses. The results of data analysis, based on 458 employee cases are as follow: Firstly, both person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) and information systems acceptance factors(availability perceived usefulness, perceived ease of use) significantly influence social capital(network ties, norm, shared language). In addition, person-environment fit is a stronger factor influencing social capital than information systems acceptance factors. Secondly, social capital is a significant factor in both work satisfaction and work performance. Finally, social capital partly plays a mediating role between person-environment fit and personal performance. Our findings suggest that it is vital for firms to understand the importance of environmental factors affecting social capital of employees and accordingly identify the importance of information systems acceptance factors in building formal and informal relationships of employees. Firms also need to reflect their recognition of the importance of social capital's mediating role in boosting personal performance. Some limitations arisen in the course of the research and suggestions for future research directions are also discussed.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2005년도 춘계학술대회
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• pp.107-143
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• 2005

Mobile service that geography, position by development of space Information Technology and technology of communications, space are various to us now becoming limelight as point contents and infra information that customers do demand based on radio superhigh speed authentication net on highly information society by offer infringement problem about individual's privacy or information by political and scientific interest be injured. Purpose of this study grasps use factor of LBS application Mobile service, and it is that analyze actual proof through questionnaire to grasp whether some relation is with value and action determination that is felt of LBS application Mobile service. Distributed all question of 190 copies but disk floret inclination did valid data 171 that clear question and omission remove a lot of questions by type of study among questionnaire of collected 182 wealths. Analyzed factor analysis and authoritativeness to search validity and confidence of questionnaire and used single regression analysis and multiple regression analysis for hypothetical verification. According to verification result, Mobile service that apply position base service usefulness and system quality, adaptedness of Mobile service that apply position base service by leading person affecting in use, acted for connection healthy and felt value is important factor immediately. Usability and social effect, felt expense, privacy did not appear by leading person that keep in mind in this study. Is been related with step that Mobile service that apply position base service is placed. That is, as present childhood, a person who have experience that use service to look for friend is few and usability fairly in last in wide application boundary and this very important person was removed finally in model. This study has sense in terms of study systematically about LBS application service use leading person that is getting into the spotlight worldwide among Mobile service that is injured newly.

• 보건교육건강증진학회지
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• 제23권3호
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• pp.135-147
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• 2006

Objective: This study was performed to identify the related factors of exercise injury throughout the actual cases among patients. Method: The subjects of the study consisted of 304 patients(209 male and 95 female) over 20's in seoul and kyonggi area, and data collected by using questionnaires were analyzed with SPSS/WIN 11.0 program. To prove the relative factors of exercise injury from hospital patients Results: 1) It was found that the general degree of exercise injury showed significant difference regarding gender, age and education level. In other words, if it was male, young and high school graduate, the portion of exercise injury for the person was higher than others. On the other hand, the duration of medical treatment for the patient, who is male, old and college graduate took longer than the others. 2) It demonstrated that the lower extremity was most intensively damaged due to the exercise injury, especially, knees and ankles had the most portion of exercise injury and a sprain was the most common form of exercise injury for these body parts. 3) The degree of exercise injury regarding of exercise maintains significant difference with the frequency of exercise. In fact, the more exercise was done by a person such as 3 to 4 days a week, the less duration of medical treatment for the person was taken. 4) It also showed that there was significant difference between the habit of exercise and the degree of exercise injury. In other words, a person had better exercise habit, it took the person less duration of medical treatment. As well, if someone had better warming up, he or she had lower degree of exercise injury after all. Conclusion: Consequently, according to the data, the research suggested that the male needed more carefulness than the female in exercise. Old age people needed to be more careful of getting sprain of knee and ankle in particular. As well, it concluded that people needed not only enough warming up before doing exercise but also positive habit of exercise in order to minimize the exercise injury.

• 한국화재소방학회논문지
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• 제13권3호
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• pp.35-42
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• 1999

건물 화재 시 인명안전설계의 목표는 피난에 필요한 최소한의 시간을 확보하는 것이다. 본 논문에서는 적정 피난 설계를 위하여 다음과 같은 내용을 연구하였다.-국내 사무소 건물의 거주밀도 분포를 조사 분석하였다. -고층 사무소 건물에서 대피훈련을 시행하여 예상 피난시간을 관측하였다. -피난전용 프로그램의 하나인 SIMULEX를 적용하여 컴퓨터 피난모델의 특성과 적용상의 한계를 연구하였다. -거주밀도와 파난시간과의 상관성을 분석하였다. 연구 결과 국내 사무소 건물의 거주밀도는 총 바닥면적(Gross Area)기준으로 13.14$m^2$/인 -22.69$m^2$/인이며 평균 19.72$m^2$/인 (193ft\sup 2\인)으로 조사되었다. (95% 신뢰도 기준) 또한 고층 사무소 건물의 대피훈련과 SIMULEX 모델 결과를 비교하여 피난시간에 큰 차이가 나타나 현 모델의 가정과 계산 방법에 한계가 있음을 보여주었다. 한편, 거주밀도와피난시간과의 분석 결과, 동일용도에서도 차이를 보이고 있어 용도별 거주밀도 기준 마련이 시급한 것으로 판단된다.

• 보건행정학회지
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• 제29권3호
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• pp.288-302
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• 2019

Background: The one-person households (OPH) are rapidly increasing and vulnerable to socioeconomic and health problems. Because it is predicted to be inequitable to health care utilization, we would like to find out about the equity of health care utilization of the OPH by comparison with the multi-person households (MPH). Methods: This study followed the theoretical framework of Wagstaff and van Doorslaer (2000), O'Donnell and his colleagues (2008), where the horizontal inequity index is the difference between the concentration indices of actual health care utilization and health care needs. This study employed the 9th Korea Health Panel survey, and a total of 10,807 cases were analyzed. Health care needs were measured by age, sex, subjective health status, chronic disease count, Charlson's Comorbidity Index, limitation of activities, and disability. Results: Compared with the MPH, there were pro-poor inequities in hospitalization, emergency utilization, hospitalization out-of-pocket payments, and pro-rich inequities in outpatient out-of-pocket payments for the OPH. The decomposition of the concentration index revealed that chronic disease count made the largest contribution to socioeconomic inequality in outpatient utilization. Age, health insurance, economic activities, and subjective health status also proved more important contributors to inequality. The variables contributing to the hospitalization and emergency utilization inequity were age, education, Charlson's Comorbidity Index, marital status, and income. Conclusion: Because the OPH was more vulnerable to health problems than the MPH and there were pro-poor inequities in medical utilization, hospitalization, and emergency costs, it is necessary to develop a policy that can correct and improve the portion of high contribution to medical utilization of the OPH.

• 한국컴퓨터정보학회논문지
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• 제27권3호
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• pp.1-12
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• 2022

해양조난사고 발생 시 해상 익수자의 안전과 생명 보장을 위해 구조자산을 활용한 신속한 탐색 및 구조작전은 매우 중요하다. 본 연구는 해양관측부이에서 수집되는 기상정보에 다중선형회귀분석, 의사결정나무, 서포트벡터머신, 벡터자기회귀, 순환신경망의 LSTM을 활용하여 울릉도 북서해역의 표층해류를 분석하고 유향과 유속에 대한 각각의 예측모형을 구축하여 예측된 유향과 유속정보를 통해 해상 익수자의 이동경로를 예측하는 모형들을 제안한다. 본 연구에서 적용한 다양한 기계학습 모형을 MAE와 RMSE의 성능 평가척도로 비교해 볼 때 LSTM이 가장 우수한 성능을 보였다. 또한, 익수자 이동지점과 예측모형의 예측지점 간 거리 차이에 있어서도 LSTM이 다른 모형들에 비해 탁월한 성능을 나타내었다.

• 한국보건간호학회지
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• 제26권2호
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• pp.341-353
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• 2012

Purpose: The purpose of this study was to evaluate Job Satisfaction of Care Helpers. Method: Subjects included 306 Care Helpers. working at geriatric care facilities; these data were collected from May 4 to May 15, 2012. The SPSS WIN 12.0 program was used for statistical analysis of collected data, including actual number, percentage, average, standard deviation, t-test, one way ANOVA, and Cronbach alpha coefficient. Results: 1. The average Job satisfaction was 3.76 and the average of each job satisfaction was the task (3.83), co-worker (2.23), and job turn over (2.25). 2. The satisfaction of the job itself, depending on back ground, had a significantly effect on age, protective person for a day, duty pattern, contract pattern, and motive. 3. The job satisfaction of human relationships, depending on their back ground, had a significant effect on degree, care-giving experience, duty place, protective person for a day, duty pattern, contract pattern, and duty motive. 4. The Job satisfaction of job turn over, depending on back ground had an. effect on job satisfaction statistically: age, degree, duty place, protective person for a day, duty pattern, and motive. Conclusion: These results found showed to contribute to job satisfaction of care helpers.

• ETRI Journal
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• 제25권5호
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• pp.401-406
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• 2003

A biometric system determines the identity of a person by measuring physical features that can distinguish that person from others. Since biometric features have many variations and can be easily corrupted by noises and deformations, it is necessary to apply machine learning techniques to treat the data. When applying the conventional machine learning methods in designing a specific biometric system, however, one first runs into the difficulty of collecting sufficient data for each person to be registered to the system. In addition, there can be an almost infinite number of variations of non-registered data. Therefore, it is difficult to analyze and predict the distributional properties of real data that are essential for the system to deal with in practical applications. These difficulties require a new framework of identification and verification that is appropriate and efficient for the specific situations of biometric systems. As a preliminary solution, this paper proposes a simple but theoretically well-defined method based on a statistical test theory. Our computational experiments on real-world data show that the proposed method has potential for coping with the actual difficulties in biometrics.

• 한국시스템다이내믹스연구
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• 제1권2호
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• pp.61-89
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• 2000

The purpose of this study is first, to find out what factors affect the cooperation and trust within the functions in the policy implementation network and in what mechanism these factors interact, second to investigate the whys to manage trust and cooperation successfully in the dynamic situation such as the network setting. For these purpose, this study reviews the concept and characteristics of policy implementation organizations, second, extracts the various factors affecting trust and cooperation in the network situation, third applies and analyzes the relationship among factors to system dynamics model based on the game theory. The results of this study could be summarized as follows: It was found that the utility change within the participants by persuasion ＆ mutual understanding and change of rule would be leading to success in policy implementation network. Also bureaucratic management such as power enforcement does not have any good impact in the managing network. In this study, system simulation method tried to analyze the hypothesis. Quantitative and case analyses were not accompanied and analysis was limited to two-person game theory. So there is some doubt this results could be generalized to actual situation which is N-person game.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.100-106
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• 2021

Over the past few decades, natural language processing research has not made much. However, the widespread use of deep learning and neural networks attracted attention for the application of neural networks in natural language processing. Sentiment analysis is one of the challenges of natural language processing. Emotions are things that a person thinks and feels. Therefore, sentiment analysis should be able to analyze the person's attitude, opinions, and inclinations in text or actual text. In the case of emotion analysis, it is a priority to simply classify two emotions: positive and negative. In this paper we propose the deep learning based sentimental analysis system according to various optimizer that is SGD, ADAM and RMSProp. Through experimental result RMSprop optimizer shows the best performance compared to others on IMDB data set. Future work is to find more best hyper parameter for sentimental analysis system.