• Asian Pacific Journal of Cancer Prevention
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• 제13권7호
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• pp.3361-3366
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• 2012

Background & Objectives: The most northern and northwestern regions of Iran are at a high risk for gastric cancer. The aim of this study was to assess the general population's awareness about risk factors, symptoms and signs, preventive methods and management of gastric carcinoma in a high prevalence city in the North of Iran. Methods: A cross-sectional population-based telephone survey which was conducted on 3,457 residents of Rasht, the capital city of Guilan Province, to assess their awareness regarding gastric carcinoma. The questionnaires contained demographic data and statements on respondents' knowledge about risk factors, symptoms and signs, prevention and management of gastric cancer which were filled by general practitioners after asking the subjects. Data were analyzed in SPSS14. P<0.05 was considered significant. Results: The mean knowledge score of the respondents was $5.05{\pm}1.37$ regarding risk factors of gastric carcinoma, $4.39{\pm}1.99$ regarding symptoms and signs, $6.0{\pm}1.22$ regarding preventive strategies, and $1.6{\pm}1.16$ regarding management. Totally the mean knowledge level of the respondents toward gastric carcinoma would be $17.1{\pm}3.97$ from the maximum grade of 29. The age group of 45-55 y/o, bachelor degree and higher, physicians and nurses, those who had cancer history in friends or had the history of gastrointestinal diseases showed significantly higher knowledge scores (P=0.001). Conclusion: There is a general lack of awareness of cancer risk factors, symptoms and signs, methods of prevention, and importance of early diagnosis and treatment. Educational programs should be developed to promote adherence to recommended screening guidelines.

• International Journal of Knowledge Content Development & Technology
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• 제10권3호
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• pp.33-50
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• 2020

Knowledge recipes are packages of knowledge which arise from the process of combining the knowledge assets in the organization in distinctive ways. This involves converting them into useful outputs which are the ideal core competitive advantage enablers for companies. The major objective of this study was to propose a knowledge recipe for financial-sector state corporations in Kenya. The study adopted a convergent parallel mixed methods research design. Quantitative and qualitative data were collected using questionnaires and key informant interviews. The target population of the study was 1574 respondents drawn from all financial state corporations. A multistage sampling technique was used for the study. The first phase involved purposive sampling of the organizations to be studied whereby the four state corporations namely: Capital Markets Authority, Competition Authority of Kenya, Kenya Investment Authority, and Kenya Revenue Authority were identified. The second phase entailed stratified sampling of the respondents in three strata namely senior management team, knowledge management team, and general staff. The authors used a census of all senior management team and knowledge management staff while a simple random sampling technique was used for the general staff. By use of the Krejcie and Morgan table, the actual sample size was 358 respondents from all the four organizations. Data were collected using questionnaires and interview schedules. The qualitative data were analyzed using content analysis while the quantitative data were analyzed by the use of Ms. Excel and VOSviewer and presented using pie charts, bar graphs, and tables. The response rate for this study was 257 (72%). The study revealed that while most employees in the financial sector organizations understand their knowledge needs, knowledge types, knowledge uses and knowledge gaps, they do not have a universal knowledge recipe to facilitate effective knowledge management in their organizations. Consequently, the authors propose a universal knowledge recipe for the state corporations in the financial sector in Kenya. The ingredients of the recipe are legal-knowledge (18%), financial knowledge (15%), administrative knowledge (11%), best practice (10%), lessons learnt (8%), human resource knowledge (8%), research and statistics knowledge (7%), product knowledge (6%), policy and procedure knowledge (5%), ICT knowledge (4%), investor knowledge (3%), markets knowledge (2%), general knowledge (2%) and regulatory framework knowledge (1%).

• 한국산학기술학회논문지
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• 제11권10호
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• pp.3761-3771
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• 2010

본 연구는 사회자본(social capital) 이론에 기반을 두고 조직 구성원 간 관계망인 사회네트워크(social network)의 특성이 조직이 외부로부터 새로운 지식의 가치를 인식하고 이를 조직의 기존 지식과 결합하는 과정에서 흡수, 동화, 공유하는 흡수역량(absorptive capacity)에 어떠한 영향을 주는지, 나아가 지식사회에서 조직의 지속적인 경쟁우위를 위한 핵심역량인 이러한 흡수역량이 향후 조직의 혁신 성과에 어떠한 영향을 주는 지를 실증적으로 탐색하는 것을 목적으로 한다. 사회네트워크의 구성원 간 관계강도에 따라 관계가 약한 네트워크(외부 매개성이 높은 네트워크)와 강한 네트워크(내부 결속력이 높은 네트워크)는 각각 서로 다른 특징을 가지고 흡수역량 수준에 영향을 미치게 된다. 더불어 본 연구는 관계강도에 따른 다른 특징의 사회네트워크와 흡수역량 간 상호관계가 네트워크를 관리하는 관리자의 역량에 따라 달라질 수 있음을 조절효과로 검증하고자 한다. 지식기반산업에 종사하는 368명의 혁신 지향적 프로젝트 수행자를 대상으로 실증분석을 한 결과, 내부 결속력과 외부 매개성은 흡수역량에 긍정적인 영향을 미쳤으며, 흡수역량 역시 혁신성과에 매우 유의한 긍정적 영향을 미치는 것으로 나타났다.

• Management Science and Financial Engineering
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• 제10권1호
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• pp.43-52
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• 2004

This paper empirically investigates potential factors that might affect firms' incentives to license out technology. The analysis is done with the help of a panel data set of observed licensing transactions involving U.S. public companies in high-technology industries. The important explanatory factors relate to the firm characteristics such as the company's stock of technological knowledge (patent stock). prior involvement in technology licensing. the company size, R&D intensity and capital expenditure. The results suggest that there seems to be significant inter-sectoral differences as well as similarities in determinants of the propensity to transfer technology through licensing agreements.

• Asian Pacific Journal of Cancer Prevention
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• 제13권12호
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• pp.6481-6484
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• 2012

Background: In 2008, the Health Authority in Abu Dhabi (the capital of the United Arab Emirates) introduced HPV vaccine free of charge for high school girls entering grade 11, becoming the first state in the Middle East to do so. The objectives of this study were to assess the knowledge, attitude and practice of school nurses in the Emirate of Abu Dhabi about HPV infection and the vaccine. Materials and Methods: A quantitative study was designed and conducted from June to August 2012 in Emirate of Abu Dhabi. Data were collected through direct face to face interviews. from one hundred and twenty five nurses. Results: Knowledge of HPV infection and HPV vaccine was almost universal among the school nurses (97%). The majority of the participants (71%) thought that the HPV vaccine was good. Cultural unacceptability (45%) and lack of women's concern about their own health (21%) were rated as the top barriers for the successful introduction of the vaccine in the UAE. More than half of the sampled nurses (58%) have either given this vaccine to school girls or taken it themselves. The majority (95%) did not come across any side effects from the vaccine. The level of qualification and the place of work did not significantly affect the correct knowledge of HPV infection or cervical cancer prevention methods. Conclusions: The knowledge and attitude of the sampled school nurses in Abu Dhabi State about HPV infection and vaccine is very good in both the public and private sectors. However, a knowledge gap in cervical cancer screening methods was identified.

• 한국사회복지학
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• 제58권4호
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• pp.65-92
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• 2006

본 연구는 사회복지조직 상호간 협력을 도모하면서 자원개발의 지속성을 시도하고 있는 실천경험에 관한 질적연구를 진행한다. 연구목적은 지역사회 관계망을 활용한 자원개발 현상에 관한 포괄적 이해의 기술 그리고 경험의 유형을 발견하는데 있다. 특히, 자원개발 경험에 관한 이해의 도구로 네트워크 관점이 아닌 사회자본 관점을 적용하고자 한다. 연구방법으로는 스트라우스와 코빈(Strauss and Corbin, 1998), 코빈(Corbin, 2004)의 근거이론(Grounded Theory) 방법을 사용하고 연구참여자는 눈덩이표집을 통해 사회복지관(서울시소재)에 종사하는 중간관리자와 최고관리자 중에서 지역사회 관계망을 활용한 자원개발 경험이 3년 이상인 14명으로 하였다. 본 연구결과 지역사회 관계망을 활용한 자원개발 경험은 지역사회 특성에 따라 달랐으며 다음의 네 가지로 유형화되었다. '상부상조의 재생형', '시민역량의 자원화형', '주민조직을 통한 자원동원형', '외부자원망의 활용형' 등이다. 이러한 연구결과는 지역사회특성에 따른 관계망기반의 자원개발에 관한 논의를 확장하는데 기여한 의의를 지닌다.

• 기술혁신연구
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• 제31권2호
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• pp.29-58
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• 2023

대학은 끊임없이 새로운 지식을 만들고 기술혁신을 통하여 가치를 생산하는 핵심 기관이다. 본 연구에서는 삼중나선모델(Triple Helix Model)의 변화와 진화를 제시하고자 한다. 이를 위해 선진기술의 습득과 소화, 개선과 추월을 통한 과정에 요구되었던 다양한 인력양성 육성과 정책분석의 질적연구를 활용하였다. 1960년대는 기능공과 기술공 위주로 기능적역량이, 1980년대와 1990년대는 대학원제도가 정착, 고급 인력양성과 함께 정부주도의 대학-기업연구소와의 Triple Helix Model (THM) 혁신활동에 필요한 기능과 기술역량의 인력양성이 강조되었다. 2000년대는 첨단·신산업에 요구되는 창의적 인재양성으로 진화하였고 대학 중심 THM이 본격적으로 추진되는 연구역량이 요구되었고 2010년 이후 창의와 융합역량의 인력양성 방향성을 대학스스로 결정하는 큰 변화로 진화하였고, 이에 본 연구에서는 창조와 융합 인력양성의 지속적 수행을 위한 혁신모델로 '삼중나선싱크로시나리오모델'을 제시한다. 대학은 자유롭게 문제를 찾아내고 정부는 신기술을 위한 지원과, 개인경험과 기업문제를 하나의 시나리오로 엮어 이를 해결하고자 하는 도전의 장이 되어 끊임없는 혁신을 견인해야 한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.293-302
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• 2020

Capital mobilization is a traditional business of commercial banks and is one of the core foundations for the development of a bank. Capital mobilization is the main input in the operation of a bank, and this is also the basis for generating output for credit activities as well as other banking activities. This study aims to determine the main factors that affect the decisions of individual customers to put savings deposit in Vietnamese commercial banks. Survey data collected from 403 individual customers were analyzed to provide evidence. The results from the multiple regression analysis by using SPSS software revealed that all scales in this study were reliable, and there were six components impacting the savings deposit decision of individual customers from the strongest to the weakest in the following order: the form of promotion, bank brand, service quality, interest rate policy, and employee knowledge and attitude. Besides, the finding showed customers who have high income tend to have a stronger decision on savings deposits in commercial banks. The main findings of this article provide some empirical implications for marketers in banks and serve as a suggestion to improve these factors in order to retain and attract individual customers' savings deposit decisions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2044-2062
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• 2018

Information theory progression along with the advancements being made in the field of Vehicular Ad hoc NETworks (VANETs) supports the use of coding-aware opportunistic routing for efficient data forwarding. In this work, we propose and investigate an adaptive coding-aware routing scheme in a specific VANET scenario known as a vehicular platoon. Availability of coding opportunities may vary with time and therefore, the accurate identification of available coding opportunities at a specific time is a quite challenging task in the highly dynamic scenario of VANETs. In the proposed approach, while estimating the topology of the network at any time instance, a forwarding vehicle contemplates the composition of multiple unicast data flows to encode the correct data packets that can be decoded successfully at destinations. The results obtained by using OMNeT++ simulator reveal that higher throughput can be achieved with minimum possible packet transmissions through the proposed adaptive coding-aware routing approach. In addition, the proposed adaptive scheme outperforms static transmissions of the encoded packets in terms of coding gain, transmission percentage, and encoded packet transmission. To the best of our knowledge, the use of coding-aware opportunistic routing has not been exploited extensively in available literature with reference to its implications in VANETs.

• Management Science and Financial Engineering
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• 제10권1호
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• pp.25-41
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• 2004

There have been many studies to build a model that can help investors construct optimal portfolio. Most of the previous models, however, are based upon the path-breaking Markowitz model (1959) which is a quantitative model. One of the most important problems with that kind of quantitative model is that, in reality, most of the investors use not only quantitative, but also qualitative information when they select their optimal portfolio. Since collecting both types of information from the markets are time consuming and expensive, making a set of target assets smaller, without suffering heavy loss in the rate of return, would attract investors. To extract only desired assets among all available assets, we need knowledge that identifies investors' preference for the risk of the assets. This study suggests two-layer decision-making rules capable of identifying an investor's risk preference and an architecture applying them to a quantitative portfolio model based on risk and expected return. Our knowledge-based portfolio system is to build an investor's preference-oriented portfolio. The empirical tests using the data from Korean capital markets show the results that our model contributes significantly to the construction of a better portfolio in the perspective of an investor's benefit/cost ratio than that produced by the existing portfolio models.