• Journal of Digital Convergence
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• v.12 no.6
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• pp.203-213
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• 2014

The purpose of this research is to deduce the effects factor of R&D output and outcome in the aspect of the researcher's intellectual property capacity, and conduct an empirical analysis to see if there is intermediated effect between cooperation of a patent attorney and output. I applied three step, input (researcher's intellectual property capacity and intellectual property environment), output (number of patent and SCI paper), outcome (number of technology transfer, profit), and analyzed the effects of researcher's intellectual property factors on output and outcome through structural equation model. The results are as follows. First, there's no cooperation between a researcher and patent attorney, the researcher's knowledge on patent specification had direct effect on the output. Second, a researcher and an patent attorney cooperate, the cooperative activities have complete mediation effect on the output, and the researcher's will to commercialize the technology has direct effects on the output. Third, the intellectual property environment of the research organization gives direct effects on the researcher's intellectual property capacity, and gives indirect effects on the outcome. this study suggest that it is important to cooperate with external experts in order to excellent R&D outcome.

• Journal of Distribution Science
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• v.11 no.10
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• pp.37-45
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• 2013

Purpose - Appropriate response to the fast changing economic environment determines SMEs' competiveness in the era of globalization and open market and, therefore, government policies to strengthen SME's competitiveness will be very important in the future. It is time to investigate the element of strategic orientation that is necessary for strengthening the competitiveness of SMEs, and its effect on the success of a business start-up. This study analyzes the network orientation in addition to existing strategic orientation, and focuses on price and quality management capability as mediators for strategic orientation and outcomes of business start-ups. Research design/data/methodology - The orientations of technology-based business founders were classified into market, technology, network, and entrepreneurial orientation. We then investigated the effect of these orientations on product price and quality management capability, as well as the influence of price and quality management capability on the outcome of a business start-up. This study is based on the nation-wide survey of the founders and members of technology-based business establishments. The survey was administered to 300 selected companies via email for a period of one month, at the end of which 175 companies replied with valid answers. Further, for effective and objective research, we used SPSS 14.0 and Amos 7.0 for structural equation modeling assumptions and hypothesis verification. Results - Except for entrepreneurial orientation, the other three orientations, namely, technology, market, and network orientations, affect the price management capability according to our results. The price management capability relates significantly with the sales and customer satisfaction. Especially, technology orientation is the core competency of start-ups that affects price and quality management capabilities. However, technology and entrepreneurial orientation do not influence the outcome of business start-ups, but affect their quality management capabilities. Conclusions - This study confirms that the strategic orientation affects product price as well as quality management capabilities, to introduce new products and achieve successful outcomes. In conclusion, new business founders face the dilemma of trade-off between price and quality in the planning stage of new product development. In particular, price management capability directly affects the outcome. Therefore, price management is more important for a successful start-up than quality management. Especially, during the initial stages of starting up a new business, price management capability entails following the market-leading company, or price penetration strategy. In this stage, price management is dependent on the information from outside rather than on the founder's decision, and it directly affects sales performance and customer satisfaction. In contrast, quality management capability is directly related to the technology capability and market experience of founders. In this case, subjective and proactive decision making is required for differentiation and development of demand in the niche market, which does not directly influence the sales performance and customer satisfaction.

• Korean Journal of Construction Engineering and Management
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• v.9 no.2
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• pp.81-89
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• 2008

The purpose of this study Management Effectiveness Analysis of Construction Process Management. This study is to analyze the effects that process management has in outcome has been done by setting 5 elements of process management system as independent variables, making hypothesis, surveying and analyzing. The results of this analysis showed that process management operation level can be measured effectively through the application of Business Process Management System, and Process management strategy is found out to be contributed to improving strategy operation support, process management and IT connection technology. By seeing this research result, through optimally applying 'process management' in construction industry, process management can be used to improve the construction industry's potential competitiveness by improving effectiveness in works in the fields of strategy operation, process management, IT connection etc. So, by practically verifying the effectiveness of 'process management system', the purpose of this research is to come up with the necessity and the development of 'process management system' in construction industry.

• Journal of Society of Preventive Korean Medicine
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• v.22 no.3
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• pp.11-19
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• 2018

Objectives : The aim of this study is to investigate the current research trend of herbal medicine based on the published articles in pharmacoepidemiologic journals. Methods : A total of 3 electronic journals, Pharmacoepidemiology and Drug Safety(PDS), Drug Safety and Journal of Pharmacoepidemiology and Risk Management(JPERM) from January 2013 to August 2018 were used for searching articles about herbal medicine. Selected articles were reviewed and classified under 5 categories-collection of adverse events in herbal medicine, statistical modeling and methodology, pharmaco-epidemiologic outcome study, drug utilization review(DUR), risk management system and regulation. Results : A total of 8 articles were finally included for analysis. 2 articles were categorized in collection of adverse events in herbal medicine, 1 was statistical modeling and methodology, 2 were pharmacoepidemiologic outcome study and 3 were risk management system and regulation. There was no article in DUR. And then pharmacoepidemiologic research trends of herbal medicine were summarized in classification of 5 categories. Conclusions : To sum up with these 8 articles of herbal medicine in pharmacoepidemiologic journals, herbal medicine was of interesting concern among researchers. The need for research on safety and risk management of herbal medicine is steadily increasing, pharmacoepidemiologic research about herbal medicine must be activated in Korea.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.35-43
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• 2021

This study aims to investigate factors affecting eBook acceptance and learning outcomes among students experiencing online distance learning. As conventional textbooks are now switched into eBooks, the effects of contextual factors including lecturer, student computer competency, content and design of the course, access ability, infrastructure, and university support on eBook acceptance and learning outcome needs to be evaluated. The sample of this study is represented by students at the Universiti Teknologi MARA, City Campus Melaka, undertaking 'strategic management course'. Non-probability random sampling was selected as the sampling technique and a purposive sampling method was chosen to select the samples. The samples comprised 171 students randomly selected through Google Form. The questionnaire data was analyzed by using PLS-SEM. The results indicated that these factors contributed 62.3% variations in the eBook acceptance and 67.1% variations in the learning outcomes. The strongest factor affecting both dependent variables was content and design of course. Managerial implication suggested that the content for all courses taught through the eBook platform needs to be revisited and improved in accordance with the mode of online deliverance. Tutorial on how to navigate the eBook platform is important to all users as this would enhance acceptance and produce better learning outcomes among students.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.559-570
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• 2005

This paper presents how to establish an efficient e-Learning environment using open source software. A LMS with additional functionalities on the top of dotLRN. which is a open source project for LMS, is presented. Additional functionalities include modification of the language for Korean, adoption of SCORM educational standard, and management of learning outcome. This system had been serviced for Kongju cyber university for one year on stable basis. The scope of this paper covers introduction, characteristics review, and the learner's learning outcome analysis.

• Journal of Preventive Medicine and Public Health
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• v.27 no.4 s.48
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• pp.793-805
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• 1994

Investigating the existence of volume-outcome relationships for specific disease groups relates directly to the policy issue of whether, and how, specific inpatient services should be regionalized. This study examined whether medical costs and lengths of stay as outcomes were affected by changes in volume within hospitals. Based on the claims data obtained from National Federation of Medical Associations, each six disease categories from medical and surgical conditions were selected and 29,720 cases from 1,266 hospitals were analyzed. Main findings of the research can be summarized as follows: 1. Analyzing volume and cost per case relationship, tonsillectomy class 1, hernia procedure class 0, appendectomy and cesarean section class 0,1 in surgical conditions showed negative relationship significantly. In cases of medical conditions, costs per case in respiratory neoplasm class 2, COPD class 1, 2, digestive malignancy were also related to volume negtively. 2. Comparing volume with length of stay per case, lens procedure class 0, hernia procedure class 0, appendectomy class 0,1, cesarean section class 1 in surgical conditions showed negative relationships significantly. In medical conditions, volume of respiratory neoplasm class 2, COPD class 1,2, digestive malignancy class 0 were associated with negatively. 3. Within same disease categories, changes in cost and length of stay per case to volume were more remarkable in severe cases. These results suggested a significant inverse relationship between disease cases and cost, length of stay per case as outcome variables.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1993.10a
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• pp.134-152
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• 1993

Many business forecasting problems are characterized by infrequent occurences, a large number of variables, presence of error, and great complexity. Because no forecasting models and tools are effective in handing these problems, managers often use the outcomes of past analogous cases to predict the outcome of the current one. They (1) observe significant attributes in describing a case, (2) identify the past cases similar in these attributes to the current case, and (3) predict the outcome of the current case based on those of the analogous cases identified through some mental simulation and adjustment. This process of forecasting can be termed forecasting-by-analogy. In spite of fairly frequent use of this forecasting process in practice, however, if has not been recognized as a primary forecasting tool, nor applied on a regular basis. In this paper, by automatizing this process using computer models, we develop a case-based forecasting system(CBFS), which identifies relevant cases and applies their outcomes to generate a forecast. We demonstrate the effectiveness of the CBFS in terms of its accuracy in predicting the outcome of the current problem based on the similar cases identified. We compare the forecasting accuracy of the CBFS with that of regression models developed by stepwise procedure under varied simulated problem conditions. The CBFS outperforms regression models in most comparisons. The CBFS could be used as an effective forecasting tool.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.2
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• pp.199-215
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• 1994

Many business forecasting problems are characterized by infrequent occurrences, a large number of variables, presence of error, and great complexity. Because no forecasting models and tools are effective in handing these problems, managers often use the outcomes of past analogous cases to predict the outcome of the current one. They (1) observe significant attributes in describing a case, (2) identify the past cases similar in these attributes to the current case, and (3) predict the outcome of the current case based on those of the analogous cases identified through some mental simulation and adjustment. This process of forecasting can be termed forecasting-by-analogy. In spite of fairly frequent use of this forecasting process in practice, however, it has not been recognized as a primary forecasting tool, nor applied on a regular basis. In this paper, by automatizing this process using computer models, we develop a case-based forecasting system (CBFS), which identifies relevant cases and applies their coutcomes to generate a forecast. We demonstrate the effectiveness of the CBFS in terms of its accuracy in predicting the outcome of the current problem based on the similar cases identified. We compare the forecasting accuracy of the CBFS with that of regression models developed by stepwise procedure under varied simulated problem conditions. The CBFS outperforms regression models in most comparisons. The CBFS could be used as an effective forecasting tool.

• Knowledge Management Research
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• v.16 no.4
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• pp.1-16
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• 2015

This paper aims to explore the small and medium sized enterprises'(SMEs') technological innovation through an open innovative strategy. Researchers have identified open innovation as external search 'breadth' and 'depth'. Although an open innovation strategy is well known as an effective way for SMEs' innovation, this stream of research examines differences between pursuing breadth of external knowledge and depth of external knowledge for SEMs' innovation. The sample comprises a total of 1106 SMEs included in the Korean Innovation Survey, and logistic regression analysis and odds ratio comparison were used to evaluate the relationship between external knowledge search and innovation outcomes. The results show that both 'breadth' and 'depth' positively affect the SMEs' innovation. When SMEs are simultaneously pursuing external searching for breadth and depth, however, a negative result on innovation outcome followed because of the lack of their internal resources and capacities. Despite these contributions, we have certain limitations that can be regarded as means of future research. Even though breadth and depth are adopted to measure the way of how a firm sources the external knowledge, companies may place the different weight on each source of knowledge. And also, it is difficult to understand how the knowledge gained through external search contributes to a firm's incremental and radical innovation, respectively.