• International Journal of Quality Innovation
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• 제7권3호
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• pp.98-106
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• 2006

Nowadays, agro-firms are confronted with competition from global suppliers in both domestic and export markets. Such competition in sustainable agro-operations is expected to intensify. The survival of these firms in developing countries urgently requires a significant transformation to be competitive. This paper discusses the rationale of adopting a national innovation (NI) approach from an industry-wide perspective. In order to attain sustainable agro-operations in developing countries, the approach stresses appropriate scientific and technological applications and effective linkages of technology transfer via the network between public and private institutions, universities and other research institutions. Central to this approach is the development of the agro-industrial sector whereby agri-chains are formed. An illustrated case of the NI approach is presented with respect to a small island developing state, the Republic of Trinidad and Tobago.

• 정보관리학회지
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• 제21권2호
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• pp.153-167
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• 2004

The purpose of this study is to discuss ′records′ as core resources for knowledge management and to suggests the directions for developing integrated knowledge management systems based records management. This present paper begins with analyzing concept and structure of records in light of knowledge management, and identify the importance of records management in developing knowledge management systems by substituting evidence axis in Upward′s "Records Continuum Model" for knowledge management. And this study tries to identify critical aspects regarding transfer of records to knowledge system by analyzing the level of records. Based on these analyses, it suggests a directions for developing records based-knowledge management systems.

• Journal of information and communication convergence engineering
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• 제7권4호
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• pp.431-436
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• 2009

Gains promised by the introduction of e-commerce back-office systems are not easily realized due to poor technology acceptance, especially in developing countries. This study aims to analyze factors which affect information technology acceptance in developing countries. A research model based on TAM is proposed, and it is empirically tested for the hypotheses of factors which affect the acceptance behavior. The result shows that antecedents such as user training influence the technology acceptance in different ways. This study may help accelerate the adoption of back-office systems in developing countries.

• International journal of advanced smart convergence
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• 제7권2호
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• pp.73-85
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• 2018

The purpose of this study is to develop a short-term ICT training course that helps teachers from non-computing disciplines in developing countries acquire flipped-learning content creation skills. A field application is performed by applying the developed ICT training course to secondary school teachers of non-ICT subject specialisms in Laos. In the field study, participating teachers' teaching efficacy on ICT and satisfaction toward the training course are measured. The result of t-test on ICT teaching efficacy showed statistically significant increases in teachers' self-efficacy related to ICT use, both personal efficacy and outcome expectancy. The satisfaction survey performed after training showed that trainees were highly satisfied with the training course. The results of this field study could be used to propose a short-term teacher education model that could be applicable to teachers in other developing countries.

• 대한간호학회지
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• 제43권3호
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• pp.442-451
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• 2013

Purpose: This descriptive study was done to develop a predictive model of depression in rural elders that will guide prevention and reduction of depression in elders. Methods: A cross-sectional descriptive survey was done using face-to-face private interviews. Participants included in the final analysis were 461 elders (aged${\geq}$ 65 years). The questions were on depression, personal and environmental factors, body functions and structures, activity and participation. Decision tree analysis using the SPSS Modeler 14.1 program was applied to build an optimum and significant predictive model to predict depression in rural elders. Results: From the data analysis, the predictive model for factors related to depression in rural elders presented with 4 pathways. Predictive factors included exercise capacity, self-esteem, farming, social activity, cognitive function, and gender. The accuracy of the model was 83.7%, error rate 16.3%, sensitivity 63.3%, and specificity 93.6%. Conclusion: The results of this study can be used as a theoretical basis for developing a systematic knowledge system for nursing and for developing a protocol that prevents depression in elders living in rural areas, thereby contributing to advanced depression prevention for elders.

• 생물정신의학
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• 제6권2호
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• pp.161-169
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• 1999

There are a number of approaches in developing experimental models for depression, but there is no such thing as a best model for depressive syndrome. Animal models are subject to the obvious limitations inherent in the assumption that human psychopathology can be represented accurately in lower animals. Recently, the concern increasingly is to develop a variety of experimental paradigms in animals to study selected aspects of human psychopathology, and animal models should be understood as basically experimental preparations that are developed to carry out these objects. Therefore, a battery of a variety of animal models should be applied to permit detailed pathophysiological studies and to develop new antidepressant treatments. Animal models of depression basically consider behavioral isomorphism with the human depression a plus, but not a req-uirement, and the model behavior should be defined operationally in order to be reproduced reliably by other researchers and be responsive to those agents possessing demonstrated clinical efficacy in human depression. In conclusion, animal models of depression have played a significant role in elucidating pathophysiology of depression and developing current treatments for depression, but there is no single comprehensive model for depression until now. Each of the proposed animal model has its advantages and limitations. In other words, certain paradigms are suitable for studying certain phenomena, whereas others are more suitable for studying other aspects. The best model for depression depends upon what the question is.

• 한국도로학회논문집
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• 제14권4호
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• pp.83-91
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• 2012

PURPOSES : This study deals with Rotary by Accident Occurrence Location. The purpose of this study is to develop the accident models of rotary by location. METHODS : In pursuing the above, this study gives particular attentions to developing the appropriate models using multiple linear, Poisson and negative binomial regression models and statistical analysis tools. RESULTS : First, four multiple linear regression models which are statistically significant(their $R^2$ values are 0.781, 0.300, 0.784 and 0.644 respectively) are developed, and four Poisson regression models which are statistically significant(their ${\rho}^2$ values are 0.407, 0.306, 0.378 and 0.366 respectively) are developed. Second, the test results of fitness using RMSE, %RMSE, MPB and MAD show that Poisson regression model in the case of circulatory roadway, pedestrian crossing and others and multiple linear regression model in the case of entry/exit sections are appropriate to the given data. Finally, the common variable that affects to the accident is adopted to be traffic volume. CONCLUSIONS : 8 models which are all statistically significant are developed, and the common and specific variables that are related to the models are derived.

• 한국경영과학회지
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• 제42권1호
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• pp.53-63
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• 2017

Managing the quantitative measurement of the data control activities in enterprise wide is important to secure management of data governance. However, research on data governance is limited to concept definitions and components, and data governance research on evaluation models is lacking. In this study, we developed a model of quantitative assessment for data governance including the assessment area, evaluation index and evaluation matrix. We also, proposed a method of developing the model of quantitative assessment for data governance. For this purpose, we used previous studies and expert opinion analysis such as the Delphi technique, KJ method in this paper. This study contributes to literature by developing a quantitative evaluation model for data governance at the early stage of the study. This paper can be used for the base line data in objective evidence of performance in the companies and agencies of operating data governance.

• 한국생활과학회지
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• 제10권2호
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• pp.215-224
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• 2001

Creativity is a trait necessarily demanded in highly industrial and information oriented society. Accordingly, we should develop creativity through school education. The purpose of this study is to inquire a conceptual model and teaching method for developing creative problem solving skills in home economics education which can work at a platform for the curriculum developer. Although many definitions of creativity consider cognitive aspect more, personal or affective aspect is heavily involved with creativity. Therefore, creativity is a dynamic system which cooperates many contrasting and dialectic components in personal and cognitive aspects. The function of creativity is dependent on diverse environmental system. Environments influence on the extent of the development of creativity. Thus, the person-situation interaction model devised by Woodman and Schoenfeldt, integration of cognitive, affective, and situational aspects, is suggested as a conceptual model for teaching creativity in home economics education. The practical reasoning teaching model is suggested as a teaching method for developing creative problem solving skills in home economics education. The components of creative problem solving which involved with practical reasoning process are general knowledge and skills, specific knowledge and skills, divergent thinking skills, motivation and motives, and critical thinking skills.

• 대한간호학회지
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• 제40권3호
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• pp.378-388
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• 2010

Purpose: This study was designed to build a theoretical frame to provide practical help to prevent and manage adolescent internet game addiction by developing a prediction model through a comprehensive analysis of related factors. Methods: The participants were 1,318 students studying in elementary, middle, and high schools in Seoul and Gyeonggi Province, Korea. Collected data were analyzed using the SPSS program. Decision Tree Analysis using the Clementine program was applied to build an optimum and significant prediction model to predict internet game addiction related to various factors, especially parent related factors. Results: From the data analyses, the prediction model for factors related to internet game addiction presented with 5 pathways. Causative factors included gender, type of school, siblings, economic status, religion, time spent alone, gaming place, payment to Internet cafe$\acute{e}$, frequency, duration, parent's ability to use internet, occupation (mother), trust (father), expectations regarding adolescent's study (mother), supervising (both parents), rearing attitude (both parents). Conclusion: The results suggest preventive and managerial nursing programs for specific groups by path. Use of this predictive model can expand the role of school nurses, not only in counseling addicted adolescents but also, in developing and carrying out programs with parents and approaching adolescents individually through databases and computer programming.