• Journal of agricultural medicine and community health
• /
• v.38 no.2
• /
• pp.130-141
• /
• 2013

Objectives: The purpose of this study was to reconsider the necessity of stroke-related educational programs by investigating early symptoms of stroke that emergency medical technicians (EMTs) may experience. Methods: An interview survey was carried out, targeting all EMTs 298 people who were working at 119 fire safety centers and local units in Jeollabuk-do province, from April 1 to 30, 2011. An interviewer administered questionnaire was used to obtain data on ETMs' demographic characteristics, educational level on stroke, and awareness level about early symptoms of stroke and treatment-related characteristics of stroke patients. Results: The results showed that 63.2% of those surveyed had completed the required educational programs on stroke during the past year. The level of awareness about early symptoms of stroke and assessment of stroke patients' condition was relatively high for women, those who were 30 years under, low position people, emergency service practitioners, emergency medical technicians, and people who have completed education, respectively. It was also turned out that 82.8% of those surveyed took stroke patients to the nearest hospitals first so that they could receive appropriate treatment. The level of awareness about early symptoms of stroke and assessment of stroke patients' condition in people who have completed education were higher than non-complete. The level of awareness about early symptoms of stroke was positively correlated with confidence, satisfaction and appropriateness in treatment of stroke patients. Conclusions: These results strongly suggest that it is necessary to operate specialized educational programs to enhance EMTs' appropriate awareness of the early symptoms of stroke and assessment of stroke patient's condition.

• Journal of Intelligence and Information Systems
• /
• v.27 no.3
• /
• pp.231-252
• /
• 2021

Artificial intelligence (AI) is a key technology that will change the future the most. It affects the industry as a whole and daily life in various ways. As data availability increases, artificial intelligence finds an optimal solution and infers/predicts through self-learning. Research and investment related to automation that discovers and solves problems on its own are ongoing continuously. Automation of artificial intelligence has benefits such as cost reduction, minimization of human intervention and the difference of human capability. However, there are side effects, such as limiting the artificial intelligence's autonomy and erroneous results due to algorithmic bias. In the labor market, it raises the fear of job replacement. Prior studies on the utilization of artificial intelligence have shown that individuals do not necessarily use the information (or advice) it provides. Algorithm error is more sensitive than human error; so, people avoid algorithms after seeing errors, which is called "algorithm aversion." Recently, artificial intelligence has begun to be understood from the perspective of the augmentation of human intelligence. We have started to be interested in Human-AI collaboration rather than AI alone without human. A study of 1500 companies in various industries found that human-AI collaboration outperformed AI alone. In the medicine area, pathologist-deep learning collaboration dropped the pathologist cancer diagnosis error rate by 85%. Leading AI companies, such as IBM and Microsoft, are starting to adopt the direction of AI as augmented intelligence. Human-AI collaboration is emphasized in the decision-making process, because artificial intelligence is superior in analysis ability based on information. Intuition is a unique human capability so that human-AI collaboration can make optimal decisions. In an environment where change is getting faster and uncertainty increases, the need for artificial intelligence in decision-making will increase. In addition, active discussions are expected on approaches that utilize artificial intelligence for rational decision-making. This study investigates the impact of artificial intelligence on decision-making focuses on human-AI collaboration and the interaction between the decision maker personal traits and advisor type. The advisors were classified into three types: human, artificial intelligence, and human-AI collaboration. We investigated perceived usefulness of advice and the utilization of advice in decision making and whether the decision-maker's personal traits are influencing factors. Three hundred and eleven adult male and female experimenters conducted a task that predicts the age of faces in photos and the results showed that the advisor type does not directly affect the utilization of advice. The decision-maker utilizes it only when they believed advice can improve prediction performance. In the case of human-AI collaboration, decision-makers higher evaluated the perceived usefulness of advice, regardless of the decision maker's personal traits and the advice was more actively utilized. If the type of advisor was artificial intelligence alone, decision-makers who scored high in conscientiousness, high in extroversion, or low in neuroticism, high evaluated the perceived usefulness of the advice so they utilized advice actively. This study has academic significance in that it focuses on human-AI collaboration that the recent growing interest in artificial intelligence roles. It has expanded the relevant research area by considering the role of artificial intelligence as an advisor of decision-making and judgment research, and in aspects of practical significance, suggested views that companies should consider in order to enhance AI capability. To improve the effectiveness of AI-based systems, companies not only must introduce high-performance systems, but also need employees who properly understand digital information presented by AI, and can add non-digital information to make decisions. Moreover, to increase utilization in AI-based systems, task-oriented competencies, such as analytical skills and information technology capabilities, are important. in addition, it is expected that greater performance will be achieved if employee's personal traits are considered.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.11 no.4
• /
• pp.191-203
• /
• 2016

This purpose of this study is to academically define what "luxury products" mean, and to clarify the cognitive structural relationship between corporate attributes and "luxuriousness" in relation to the determinant of luxuriousness that eventually affects the purchase intention of consumers. This study is also written under the theory that luxuriousness leads to benefits such as functional benefit, experiential benefit, symbolic benefit, and exclusive benefit; which all provide core values to consumers and serve as effect factors that influence the psychological satisfaction of consumers. The commonly discussed measure of the determinant of luxuriousness has often failed to adequately describe the reasons to why the consumers prefer luxury products. This study also aims to suggest a new path in how and what the consumers perceive as luxury products, and to conceptualize what luxuriousness means in the marketing perspectives on the background of a previous theory. The part of corporate attributes are divided in the following sections: corporate ability(CA) and corporate reputation(CR). The part of the determinant of luxuriousness is divided in sections of superiority, scarcity, differentiation, and traditionality. Therefore, this study used the theoretical concept used in such common measures as well as 282 examples to empirically analyze the relationship between corporate attributes and luxuriousness of luxury products, and how such affect the purchase intentions of consumers. The survey used to aid this study targeted luxury product consumers regarding "B" brand of automobiles. Using the analysis through a structural equation model, the study draws a conclusion that in a relationship between corporate attributes and luxuriousness, corporate ability(CA) of corporate attributes affects the facts of differentiation and traditionality in a significant way, and corporate reputation(CR) of corporate attributes affects the factors of superiority and scarcity in a significant way. Additionally, the superiority and scarcity of luxuriousness positive significantly affects purchase intention, and differentiation and traditionality of luxuriousness affects purchase intention in a negative significant way. The structural concept of luxury and luxuriousness suggested in the study will provide the theoretical basis for building a new case study, and the determinants of luxuriousness in the marketing perspective will be a practical help for checking the consumers' psychological reasons for purchase.

• Journal of The Korean Association For Science Education
• /
• v.41 no.6
• /
• pp.471-481
• /
• 2021

The importance of science education for cultivating the competencies required by an intelligent information society is gradually being strengthened. The government's roles and responsibilities for science education are stipulated by laws and policies in Korea. In order to systematically support science education, continuous monitoring of related policies is essential. This study aims to develop indicators that can be used to systematically and continuously monitor the national policies on science education in Korea. To achieve this goal, we first derive the framework for the indicators that has two dimensions (learner and science education context) and three categories (input, process, and outcome) from literature reviews. In order to derive the components and subcomponents of the indicators, the contents of science education-related indicators developed in Korea or abroad were reviewed. In order to verify the suitability and validity of the framework and components of the initial indicators, a two-round Delphi method was conducted with 25 expert participants with five different professions in science education. Finally, three components of the 'input' category (student characteristics, teacher characteristics, and educational infrastructure), three components of the 'process' category (science curriculum implementation, science educational contents and programs implementation, and teacher professional development program implementation), and five components of the 'outcome' category (science competency, participation and action, affective achievement, cognitive achievement, and satisfaction) were derived. An instrument to collect data from students, teachers, and institutions was developed based on the components and subcomponents, and content validity and internal consistency of the instrument were analyzed. Korea's Science Education Indicators developed in this study can comprehensively measure the current status of science education and is expected to contribute to a more efficient and effective science education policy planning and implementation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.6
• /
• pp.27-42
• /
• 2020

Startup accelerators have emerged as new investment entities that help early startups, which are not easy to survive continuously due to lack of funds, commercialization capabilities, and experiences. As their positive performance on early startups and the ecosystem has been proven, the number of early startups which want to receive their investment is also increasing. However, they are vaguely preparing to attract accelerators' investment because they do not have any information on what factors the accelerators consider important. In addition, researches on startup accelerators are also at an early level, so there are no remarkable prior studies on factors that decide on investment. Therefore, this study aims to help startups prepare for investment attraction by looking at what factors are important for accelerators to invest, and to provide meaningful implications to academia. In the preceding study, we derived five upper level categories, 26 lower level accelerators' investment determinants through the qualitative meta-synthesis method, secondary data analysis, observation on US accelerators and in-depth interviews. In this study, we want to derive important implications by deriving priorities of the accelerators' investment determinants. Therefore, we used AHP that are evaluated as the suitable methodology for deriving importance and priority. The analysis results show that accelerators value market-related factors most. This means that startups that are subject to investment by accelerators are early-stage startups, and many companies have not fully developed their products or services. Therefore, market-related factors that can be evaluated objectively seem to be more important than products (or services) that are still ambiguous. Next, it was found that the factors related to the internal workforce of startups are more important. Since accelerators want to develop their businesses together with start-ups and team members through mentoring, ease of collaboration with them is very important, which seems to be important. The overall priority analysis results of the 26 investment determinants show that 'customer needs' and 'founders and team members' understanding of customers and markets' (0.62) are important and high priority factors. The results also show that startup accelerators consider the customer-centered perspective very important. And among the factors related to startups, the most prominent factor was the founder's openness and execution ability. Therefore, it can be confirmed that accelerators consider the ease of collaboration with these startups very important.

• Culinary science and hospitality research
• /
• v.22 no.3
• /
• pp.121-138
• /
• 2016

This study is intended to present effective career guidance and direction by identifying the various factors involved in the career preparation behavior for the improvement of the employment rate of culinary and foodservice management major field students. This study was established on the hypothesis of a structural relationship that career decision-making self-efficacy develops career maturity and career preparation behavior on the basis of social cognitive career theory, which was verified through empirical analysis. Out of 450 survey responses from by Culinary and Foodservice Management Major Students, a total of 302 questionnaires were used for the final analysis due to missing values and biased responses(response rate: 83.6%). Collected data were identified using SPSS 16.0 and AMOS 5.0. A higher-order factor model was employed (High-order model) before a confirmatory factor analysis, and this study examined its reliability and validity analysis for hypothesis testing. Career decision-making self-efficacy had positive effects on career maturity(t=6.86, p<0.001) and career preparation behavior(t=3.83, p<0.001), and career maturity had positive effects on career preparation behavior (t=2.79, p<0.01). As a result, all hypotheses were accepted. These results confirmed that strengthening students' faith in themselves with competencies is core competencies with career-related issue can be the driving force that can enable students to develop into mature professionals. Therefore, this study suggests an awareness of the importance of career decision-making self efficacy and proposes a need for a systematic and integrated career counseling program that can improve it.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.5
• /
• pp.43-52
• /
• 2014

It becomes to be essential for firms to build up collaboration ecosystem with diverse entities and to be common for firms to absorb knowledge from external environment for their innovation. Companies try to transfer technological or knowledge asset to other firms through open innovation. The purpose of this research is to suggest the role of universities in University-Industry Collaborations besides research collaboration and we focus on the role of university to strengthen the regional business ecosystem network. For this research, we analyze a specific UIC(University Industry Collaboration) program called as "Business Clinic Day" which provides a consulting service for firms, especially, SMEs with a specific problem by a group of consultants including CEOs, professors, and heads of regional public or private service providers. Then we studied how the business network has changed after the program with network analysis. Also, we try to find out the main pattern of network structure extension of business ecosystem with interview. This study illustrates that changing types of network are formed between university and SMEs by clinic day. The result shows that not only new role as a network promoter, but also the partner as a technology-provider in the regional business ecosystem.

• Journal of The Korean Association of Information Education
• /
• v.20 no.5
• /
• pp.475-486
• /
• 2016

As software transforms the structure of industry, it becomes a key measure in determining market competitiveness. Therefore, various educational efforts have been attempted in Korea to cultivate software professionals to secure software competitiveness. While previous studies had focused mainly on the cognitive effectiveness of software education, the authors tried to focus on affective perspectives. The authors, therefore, aimed to analyze the predictive power of the recognition of software importance and learning flow on affective outcomes, such as efficacy of computational thinking skills, and attitude toward, and satisfaction with, software education. The data were collected from 103 sixth grade students who participated in a software education. Results show that software importance and learning flow had significant predictive power on affective outcomes; Learning flow mediated the relationship between software importance and affective outcomes. This study provides practical implications for improving affective outcomes in the design and implementation of software education.

• Journal of the Korean Society for Library and Information Science
• /
• v.52 no.3
• /
• pp.171-192
• /
• 2018

With the spread of the maker movement and matching of the standards for the 21st century learners and the maker competencies, there is a social and temporal need for makerspaces building and maker education in school libraries, Prior to the establishment of the school library makerspaces, we intended to investigate the awareness of the school librarian on the creation and operation of the school library makerspaces. For this purpose, a questionnaire was constructed based on the theoretical review and the response data of 171 school librarians were collected through a web survey. Technical statistics, cross-analysis, and ANOVA were conducted using SPSS window 19.0 and content analysis was conducted on open-ended questions. The Questionnaires consisted of questions about whether the school library makerspace was installed or not and necessity, reason, and difficulty in creating and operating the makerspace. As a result of the study, it was found that the establishment of the school library makerspace was very low at 2.3%, and the recognition of the makerspace of the school librarian was below the normal level. On the other hand, the perception of necessity appeared to be more than normal, and the school library was generally considered to be a suitable place for the makerspace installation. However, negative opinions about the school library makerspaces were also raised in various aspects.

• Culinary science and hospitality research
• /
• v.22 no.4
• /
• pp.222-239
• /
• 2016

This study is composed of both a research of research literature and empirical analysis. With regard to literature based, consideration was given to present conditions of domestic coffee shops, thhe definition of barista, the duty characteristics baristas, and intention to change job. Empirical analysis established hypotheses and verified the effect of duty characteristics on job satisfaction and turnover intention. A survey to verifying the hypothesis of study was performed for 400 baristas who were working at their coffee shops with selecting coffee shops randomly in Seoul and Kyeonggi-do. 2012.08.15~2012.08.30, for 15 days, I performed survey, without faithless answers and questionnaires which weren't written, I used total 331 papers for actual analysis. Collected basic data were analyzed through SPSS 18.0 program by frequency analysis, correlation analysis, factorial analysis, reliability analysis, regression analysis, and so on. I suggested like this for managing effective human resources. For increasing satisfaction of duty of barista, manager should give opportunity for attending important duty to barista, and because of this, barista can feel sense of responsibility and self-esteem.