• Journal of Korean Academy of Fundamentals of Nursing
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• v.3 no.1
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• pp.81-95
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• 1996

The purpose of this study was to investigate the effects of breast self-examination teaching methods which are printed material, videotape, demonstration used BSE model on women. The subjects for this study were non-medical professional 88 women in Kwangju. The data was collected from October 16 to November 24, 1995 by means of a structured questionnaire. For measuring BSE knowledge, Kim's(1994) instrument was used ard modified by researcher. For measuring BSE attitude based on health belief, Lee's(1982) & Kim's(1994) instrument was used and modified by researcher. Printed material from literature were reviewed by researcher, 'A woman's guide to breast self-examination' videotape by Nurse Practitioner Creation and BSE simulator by Narco were used 21 attitude scale and 13 knowledge scale were checked before and after teaching methods. The data was analyzed by frequency, paired t-test, ANOVA using the SAS program. The results were as follows : 1. The BSE total knowledge score after having teaching was higher than before, different significantly(t=-14.05, p=0.000). The most effective teaching method on BSE knowledge change was demonstration used BSE model in three teaching methods and was different significantly(F=8.44, p=0.000). 2. The BSE total attitude score after having teaching was changed to more positively, different significantly(t=4.59, p=0.000). The most effective teaching method on positive BSE attitude change was demonstration used BSE model in three teaching methods and was different significantly(F=3.21, p=0.045). 3. The HB score after having teaching was higher than before, and benefits, barriers and health concerns were different significantly(t=-2.51, p=0.014 ; t=-4.53, p=0.000 ; t=-3.71, p=0.000). Susceptibility and seriousness were not different significantly. 4. There were different significantly among knowledge, religion(F=3.92, p=0.013) and child (F=3.08, p=0.08). There were different significantly among attitude, age(F=4.65, p=0.05), mansturation state(F=4.39, p=0.016), and artificial abortion experience(F=5.18, p=0.026). There were different significantly among health concern, age(F=2.50, p=0.068), delivary experience(F=3.22, p=0.076), artificial abortion experience(F=5.46, p=0.023), and feeding(F=6.24, p=0.003). Printed material, videotape, and demonstration used BSE model may be valuable for changing positively knowledge and attitude related to BSE. Demonstration used BSE model was most effective teaching method in this study. Therefore, this study revealed that BSE teaching methods were a useful nursing intervention for promoting practice regularily and exactly on women.

• STI Policy Review
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• v.8 no.2
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• pp.23-48
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• 2017

This article advocates for a Mode 3 science policy. Compared to the university research-based Mode 1 knowledge production system and the knowledge application-centric Mode 2 innovation system, Mode 3 can be defined as a system that integrates both Mode 1 and Mode 2-type knowledge production models. In this article, based on the major characteristics of the Mode 3 scientific knowledge production system, I agree with the advocates of Mode 3 that constructing a knowledge society requires an inclusive form of knowledge production and innovation system through the democratization of knowledge production as well as the promotion of social values. Moreover, the mechanisms for creating accountable innovation in the Mode 3 system should be given more attention from the science research and policy communities to make public policy for scientific and technological innovation more reflective of social changes. Similar to the ways that the Mode 1 and Mode 2 scientific knowledge production approaches have influenced the development of science policy models, the Mode 3 scientific knowledge production approach, or Mode 3 science, also has the potential to shape a new science policy model. I will refer to this as Mode 3 science policy. In an effort to conceptualize the democracy- and society-centric Mode 3 science policy model, I will articulate science policy strategies in four science policy domains in South Korea from the context of the Mode 3 science approach. These include (1) evaluation of publicly-funded research activities, (2) valorization of scientific knowledge (that is, enhancement of the value of scientific knowledge through governmental action), (3) development of a science policy decision-making support system, and (4) anticipatory foresight of science, technology and society. When adopting and implementing a Mode 3 science framework, one progressive change is to increase socially desirable innovation such as responsible innovation.

• Perspectives in Nursing Science
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• v.7 no.1
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• pp.1-9
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• 2010

Purpose: The purpose of this study was to review behavior change theories in terms of important variables, concept definitions, and applicability to diabetes self-management behavior. Methods: Six behavior change theories (the Transtheoretical Model, the Health Belief Model, the Theory of Reasoned Action, the Theory of Planned Behavior, Social cognitive theory, and Information-Motivation-Behavioral skills Model) were reviewed which were applied in diabetes self-management interventions. Results: The five key concepts from the five non-stage behavior change theories were delineated. Based on the key concepts, a theoretical framework was formulated as the explanatory model of diabetes self-management behaviors. The four major concepts in Information-Motivation- Behavioral skills Model were included. The cognitive arm of the proposed theoretical framework included constructs related to diabetes knowledge, motivation (beliefs, attitude, social norm), self-efficacy, and intention. Conclusion: The theoretical framework described here includes the key factors of successful diabetes self- management intervention. However, the concept of motivation needs further exploration and clarification for operationalization.

• Knowledge Management Research
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• v.15 no.3
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• pp.95-120
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• 2014

In order to successfully adapt in ever-changing social and economic environment, organizational members need to get a capacity to be open to accepting change, effectively leverage the knowledge assets accumulated inside and outside the company for pursuing new values. In this study, we defined such competence as generativity capacity and demonstrated mechanism for forming generativity capacity and an impact on job performance. We suggested absorptive capacity, tertius iungens orientation, use of information technology as antecedent variables of generativity capacity. For empirically verifying the proposed model, we collected sample data from 201 workers and conducted analysis using a structural equation modeling. The empirical analysis results revealed that all of the proposed antecedent variables significantly impacted on generativity capacity, which in turn had a significant effect on job performance. We expect that this study will provide researchers and managers who want to get a broader perspective on knowledge management beyond the boundaries with useful theoretical and practical implications.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.3
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• pp.15-40
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• 1994

We designed a knowledge-based decision support system for structuring semi-or unstructured problems. Problem structuring involves extraction of the relevant factors from the identified problem, and model construction that represents the relationships among those factors. In this research, we employed a directed graph called Influence Deiagram as a tool for problem structuring. In particular, our proposed system is designed as a shell. Therefore, a decision maker can change the content of the knowledge base to suit his/her own interested domain.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.601-614
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• 2012

This paper is aimed to analyze the determinants and their relative importance that affect regional competitiveness in the era of globalization and climate change. The panel model was set by a balanced panel data for 7 metropolitan areas & 9 provinces and for the period of 2001~2010. Gross regional income per capita is used as the dependent variable and competitiveness-based factors, economic production factors, and climate change adaptation factors are selected as the explanatory variables. In this study, Model 1(typical regional competitiveness model) and Model 2 (added adaptation to climate change adaptation factors) were compared. The important findings can be summarized as follows. The most influential determinants on regional competitiveness are the ratio of knowledge-based industries and human capital and energy inefficiencies decrease the regional competitiveness. Compared to Model 1, Model 2 showed that the effects of the regional openness and the technology innovation capital are relatively more influential in Model 2. The results of this empirical study provide policy implications to strengthen the regional competitiveness in the future of the era of globalization and climate change.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.623-628
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• 2021

The paid knowledge platforms market is growing rapidly due to the constant demand for high-quality knowledge and a change in the positive perception of paid contents. Among them, the growth of paid knowledge platforms in China is overwhelming. The various paid knowledge platforms have emerged in China over the years, and Zhihu occupies the largest share among them. There have been some studies on paid knowledge platforms in China, but studies centered on Zhihu were relatively insufficient, so I conducted the research on Zhihu. In this paper, the development status of China's paid knowledge platform was investigated, the functions provided to users based on the menu configuration of the Zhihu app were analyzed and the business model of Zhihu was explored. In addition, the features of Zhihu were analyzed. It is expected that this paper will be an important data for research on paid knowledge platform.

• Knowledge Management Research
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• v.15 no.1
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• pp.45-63
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• 2014

Due to advance in Internet technology, most tourists tend to search travel information in the Online Travel Communities(OTC). Given this new paradigm in terms of finding travel information, most of relevant studies in this area are still dealt with explaining tourists' behaviors regardless of the types of communications. Therefore, to overcome some limitations in previous studies, we attempt to examine the relationships between both formal and informal communications and tourists' behavioral changes in the OTC context. Specifically, we developed a research model by employing the PPM(push-pull-mooring) framework and tested it to understand why and how tourists' behaviors might be changed. Survey data collected from 323 online tourists were used to test the model the model using SEM(structural equation modeling). The implications of our empirical findings for both research and practice are discussed.

• Journal of Climate Change Research
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• v.8 no.1
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• pp.1-10
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• 2017

Over the past centuries, industrialization in developed and developing countries has had a negative impact on global warming, releasing $CO_2$ emissions into the Earth's atmosphere. In recent years, the transportation sector, which emits one-third of total $CO_2$ emissions in the United States, has adapted by implementing a climate change action plan to reduce $CO_2$ emissions. Having an environmental policy might be an essential factor in mitigating the man-made global warming threats to protect public health and the coexistent needs of current and future generations; however, to my best knowledge, no research has been conducted in such a context with appropriate statistical validation process to evaluate the effects of climate change policy on $CO_2$ emission reduction in recent years in the U.S. transportation. The empirical findings using an entity fixed-effects model with valid statistical tests show the positive effects of climate change policy on $CO_2$ emission reduction in a state. With all the 49 states joining the climate change action plans, the U.S. transportation sector is expected to reduce its $CO_2$ emissions by 20.2 MMT per year, and for the next 10 years, the cumulated $CO_2$ emission reduction is projected to reach 202.3 MMT, which is almost equivalent to the $CO_2$ emissions from the transportation sector produced in 2012 by California, the largest $CO_2$ emission state in the nation.

• Journal of Korean Academy of Nursing
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• v.35 no.2
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• pp.323-335
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• 2005

Purpose: The purpose of this study was to examine the problems and relevant variables for effective Organizational Socialization of new nurses, to produce a causal map, to build up a simulation model and to test its validity. Method: The basic data was collected from Sep. 2002 to July 2003. The Organizational Socialization process of new nurses was analyzed through a model simulation. The VENSIM 5.0b DSS program was used to develop the study model. Result: This Model shows interrelation of these result variables: organizational commitment, job satisfaction, job performance, intention of leaving the work setting, decision making ability, and general results of Organizational Socialization. The model's factors are characteristic of organization and individual values, task-related knowledge and skills, and emotion and communication that affects new nurses' socialization process. These elements go through processes of anticipatory socialization, encounter, change and acquisition. The Model was devised to induce effective Organizational Socialization results within 24 months of its implementation. The basic model is the most efficient and will also contribute to the development of knowledge in the body of nursing. Conclusion: This study will provide proper direction for new Nurse's Organizational Socialization. Therefore, developing an Organizational Socialization Process Model is meaningful in a sense that it could provide a framework that could create effective Organizational Socialization for new nurses.