• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.221-233
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• 2020

The purpose of this study is to prove the relationship of major variables derived based on prior research on factors affecting the start-up performance of youth mall young merchants in traditional markets, and to empirically analyze the relationship between major factors based on the results. The factors affecting the start-up performance of the youth mall in traditional markets were divided into government support programs and entrepreneurship, and the cooperation between the start-up preparation and merchants was established as variables that mediated the influence between the start-up performance and entrepreneurship performance. The analysis showed that entrepreneurship had a statistically significant positive effect on start-up readiness, while government-supported programs, entrepreneurship and start-up readiness had a significant positive effect on start-up performance. In addition, as a result of verifying the mediated effects of the research model, it was verified that the indirect effects of entrepreneurship on the performance of start-up by mediating the preparation of start-ups were significant. Through this study, the government support program should be supported in consideration of the characteristics of young merchants, not of the current consistent support, and means that youth merchants should be thoroughly verified in the recruitment, selection, and promotion stages, and young merchants with high entrepreneurship and start-up readiness should be selected.

• Journal of Science Education
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• v.35 no.2
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• pp.295-306
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• 2011

Self-directed learning ability is more important than before. It is well-known that traditional teacher-directed lecture class, seminar-like oral presentation class, and even discussion/debate class have not been enough to enforce self-directed learning ability for students. To resolve the problem, a new dynamic complex instruction model (DCIM) was developed for undergraduate and graduate students and a basic frame of DCIM was published by Oh (2010). Here, it is examined if the application of DCIM to a biology class of graduate school can cause improvement of self-directed learning ability. For this, the self-directed learning readiness scale (West & Bentley, 1990) translated by Ryu (1997) and motivation scale (Hayamizu. 1997) translated by Oh (2001) were employed, and then measurements performed with the translated scales were done in the beginning and the last of two DCIM-adapted graduate biology classes at K university, Daegu, South Korea in the first semester of the year 2010. The results show that self-directed learning ability could be significantly improved through the DCIM-adapted class, compared to the result of a teacher-directed lecture class as a control group. With respect to the motivation, there was not found any statistically significant difference between control and experiment groups of graduate students. The present study seems to be meaningful in that it is the first work proving the effect of improvement of self-directed learning ability of graduate students through the DCIM-adapted classes.

• The Journal of Information Systems
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• v.11 no.1
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• pp.51-74
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• 2002

The purpose of this study is to empirically investigate critical success factors for effective implementation of web-based distance learning system. First of all, four critical success factors are theoretically derived from reviewing previous research. They are: (1) learner-related factor including the variables such as teaming ability, learning attitude, and attending motivation, (2) environmental factor including the variables of physical and mental support for learners, (3) instructional design factor represented by one variable, the degree of appropriateness of learning contents, and (4) the factor concerning the level of self-directed learning readiness embracing the variables such as curiosity for learning, openness towards challenge of learning and affection for learning. Subsequently, the relationships between these four critical success factors and the degree of learning satisfaction are empirically investigated. The data for empirical analysis of the research are collected from 1,020 respondents who have already passed the web-based distance learning courses which have been implemented in Information and Communication Officials Training Institute. Out of 1,020 responded questionnaires, 875 data were available for statistical analyses. The main results of this study are as follows. Firstly, the most important factor for successful implementation of the web-based distance learning system is shown to be the instructional design factor, and in the next place, the self-directed learning readiness factor, the environmental factor and the learner-related one in sequence. Secondly, additional analysis of the variables included in the instructional design factor shows that availability of practical information and knowledge is the most influencing variable, and next, interesting composition of contents, reasonable learning amount, optimal level of instruction, and understandable explanation are significantly important in the descending order. Lastly, among learning motivators, strong intention of acquiring business knowledges and skills is found to be the most important satisfier in the web-based distance learning. The theoretical contribution of this study is to derive a comprehensive model of critical success factors for implementing the web-based distance learning system. And, the practical implication of this study is to propose efficient and effective guidelines for developing and operating the web-based distance learning system in the various kinds of organizations.

• Journal of Korean Academy of Nursing
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• v.50 no.6
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• pp.863-875
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• 2020

Purpose: This study was conducted to develop and test the effects of a program for practice application of intravenous infusion evidence based nursing practice (EBP) guidelines in small and medium-sized hospitals. Methods: A mixed method research design was used, combining non-equivalent control group pre-post test design with qualitative study analysis. The subjects consisted of 55 nurses. The practice application program was developed based on the Advancing Research and Clinical practice through close Collaboration (ARCC) model. Data were collected for analysis in the following areas: nurses' EBP organizational culture and readiness, EBP beliefs, EBP implementation, importance about intravenous infusion, and performance about intravenous infusion, with data assessed using valid and reliable instruments. Patient outcomes were collected from the hospital's medical records. Data were analyzed using t-test, χ2-test, and Shapiro-Wilk test, with qualitative content analysis used for interview data. Results: Following the intervention, nurses' EBP organizational culture and readiness, EBP beliefs, EBP implementation, and performance of intravenous infusion and perceptions of its importance showed significant improvement in the experimental group. Phlebitis rates decreased in the experimental group compared to the control group. Conclusion: This program is effective to improve nurse's perception and practice of evidence based nursing. Therefore we recommend to use this program at same levels of hospitals.

• Journal of the military operations research society of Korea
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• v.34 no.3
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• pp.41-51
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• 2008

Advanced high-tech weapons have enormous affect on combat strength in modern warfare. However, lack of maintenance can cause decrease in equipment operating rate as well as decrease in expectation on demonstrative effect of combat strength during wartime. Therefore it is essential for combat readiness that the optimum requirement of equipment maintenance cost are forecasted and included in the budget. In this paper, the trend of equipment maintenance cost about K-111 1/4t military vehicle is first analyzed by evaluating the performance data of field operation. Secondly, based on above analyzed results, the forecasting model of equipment maintenance cost is designed. Finally, by applying this forecasting model, suggestion and estimation method of equipment maintenance cost have presented for the foreseeable future.

• Journal of Korean Academy of Nursing Administration
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• v.23 no.2
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• pp.111-117
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• 2017

Getting evidence in to practice tends to focus on strategies, theories and studies that aim to close the gap between research knowledge and clinical practice. The evidence to practice gap is more about systems than individual clinician decision making. The absence of evidence for administration and management in the organization of healthcare is persistent. Teaching nurses and providing evidence as the solution to evidence-based healthcare is no longer axiomatic. Previous studies have concluded that unit level strategies integrate multi-professional teams with organizational needs and priorities. This 'best fit' approach that characterizes how healthcare is structured and delivered. The published literature shows that increased readiness for change is aligned with integrated approaches informed by conceptual models. The Joanna Briggs Collaboration is the largest global collaboration to integrate evidence within a theory informed model that brings together academic centres, hospitals and health systems for evidence synthesis, transfer and implementation. The best approaches to implementation are tailored to local culture and context, benchmark against international evidence, combine a theory informed model and stakeholder perspectives to improve the structure and processes of health care policy and practice.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.2
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• pp.37-48
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• 2014

Fighter squadron flight scheduling is the integrated air operation plan that is an important role for improving pilot's flight skill and maintaining combat readiness by efficient using available all air resources including pilot, aircrafts, air-weapons, fuel and supporting facilities etc. Korea airforce, however, has a limit as to an effective flight operation due to manual flight scheduling with scheduler's own experience and intuition. Therefore, in our study, we propose the optimization model of flight scheduling based on mixed integer programming. This model includes several constraints of realistic and essential quantified data related with flight schedule and can assign appropriate pilots optimally which are distinctive three type's solutions : flight, alert and duty crew schedules. Proposed solution method can be improved pilot's capability and allocated further air resources systematically and efficiently. In addition, it can be reduced a workload of flight scheduler and minimized obstructed factors of flight safety. Finally, we demonstrate the experiment's results for the check of efficiency and validity of this model.

• The Journal of Information Systems
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• v.27 no.4
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• pp.189-202
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• 2018

Purpose As job market squeezes and more institutions have been requiring NCS(National Competency Standards) based recruitments, the importance of NCS has been growing. Among the 10 domains of NCS, the most relevant one with MIS(Management Information Systems) field is 'information ability', which is becoming more important with the advent of the fourth industrial revolution era. The purpose of this study is to investigate the effect of college students' information ability on their career preparation behavior. Design/methodology/approach In this study, we set up a process model to comprehend the effect of college students' information ability on career preparation behavior based on social cognitive career theory. For research model testing, 561 questionnaires were used for empirical analysis through structural equations modeling. Findings Empirical analysis showed that information ability positively influenced college students' career preparation behaviors for employment. In addition, this study presented a process model explaining the effect of information capability on career preparation behavior. In order to strengthen the information ability of college students, not only university-level efforts, but also MIS discipline efforts should be accompanied. Other academic and practical implications are discussed.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.225-237
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• 2022

The term "artificial intelligence" is considered a component of sophisticated technological developments, and several intelligent tools have been developed to assist organizations and entrepreneurs in making business decisions. Artificial intelligence (AI) is defined as the concept of transforming inanimate objects into intelligent beings that can reason in the same way that humans do. Computer systems can imitate a variety of human intelligence activities, including learning, reasoning, problem-solving, speech recognition, and planning. This study's objective is to provide responses to the questions: Which factors should be taken into account while deciding whether or not to use AI applications? What role do these elements have in AI application adoption? However, this study proposes a framework to explore the significance and relation of success factors to AI adoption based on the technology-organization-environment model. Ten critical factors related to AI adoption are identified. The framework is empirically tested with data collected by mail surveying organizations in Vietnam. Structural Equation Modeling is applied to analyze the data. The results indicate that Technical compatibility, Relative advantage, Technical complexity, Technical capability, Managerial capability, Organizational readiness, Government involvement, Market uncertainty, and Vendor partnership are significantly related to AI applications adoption.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.109-124
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• 2020

The present study identified the determinants of the behavioral intention to purchase an air purifier. This work further examined the moderating effect of interactivity readiness on the relation between the purchase intention and the word-of-mouth (WOM) intention. Our conceptual model included a second-order construct of SNS WOM richness, consisting of three first-order constucts of SNS WOM relevancy, timeliness and sufficiency. Furthermore, SNS WOM usefulness and credibility were incorporated into the model to predict the purchase intention. A total of 312 respondents participated in the survey study. A series of scale refinement processes were performed and a structural equation model analysis was conducted to verify our research hypotheses. The results indicated that SNS WOM richness was found to be significantly predictive of both SNS WOM usefulness and credibility, which in turn, had significant impacts on purchase intention. In addition, results revealed that purchase intention had a significant and positive influence on WOM intention. However, results failed to verify the moderating effect of interactivity readiness on the influence of behavioral intention on WOM intention.