• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.17-32
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• 2023

The entrepreneurial activities of college students play a significant role in modern economic and social development, particularly as a solution to the changing economic landscape and youth unemployment issues. Introducing innovative ideas and technologies into the market through entrepreneurship can contribute to sustainable economic growth and social value. Additionally, the entrepreneurial intentions of college students are shaped by various factors, making it crucial to deeply understand and appropriately support these elements. To this end, this study systematically explores the importance and impact of role models through a multiple serial mediation analysis. Through a survey of 300 college students, the study analyzed how two psychological variables, growth mindset and entrepreneurial self-efficacy, mediate the influence of role models on entrepreneurial intentions. The presence and success stories of role models were found to enhance the growth mindset of college students, which in turn boosts their entrepreneurial self-efficacy and ultimately strengthens their entrepreneurial intentions. The analysis revealed that exposure to role models significantly influences the formation of a growth mindset among college students. This mindset fosters a positive attitude towards viewing challenges and failures in entrepreneurship as learning opportunities. Such a mindset further enhances entrepreneurial self-efficacy, thereby strengthening the intention to engage in entrepreneurial activities. This research offers insights by integrating various theories, such as mindset theory and social learning theory, to deeply understand the complex process of forming entrepreneurial intentions. Practically, this study provides important guidelines for the design and implementation of college entrepreneurship education. Utilizing role models can significantly enhance students' entrepreneurial intentions, and educational programs can strengthen students' growth mindset and entrepreneurial self-efficacy by sharing entrepreneurial experiences and knowledge through role models. In conclusion, this study provides a systematic and empirical analysis of the various factors and their complex interactions that impact the entrepreneurial intentions of college students. It confirms that psychological factors like growth mindset and entrepreneurial self-efficacy play a significant role in shaping entrepreneurial intentions, beyond mere information or technical education. This research emphasizes that these psychological factors should be comprehensively considered when developing and implementing policies and programs related to college entrepreneurship education.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.147-163
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• 2022

The relocation policy of public Institutions throughout provincial areas that implemented for the purpose of "balanced national development" finished in 2019 with the last relocation of the Korea Institute of Science & Technology Evaluation and Planning, which moved to Chungbuk Innovation City. Electric power public corporations also completed relocation program over eight regions across the nation. This study was conducted empirically to identify the structural relationship between the public service motivation and job attitude. In this, the relationship of organizational change, particularly occurred by the regional relocation, with the psychological state of these organization members (experienced direct changes and got substantial impacts in various aspects such as psychological, economic and living environment, etc.,) was studied. This study aims to seek early organizational stabilization ideas for electric power public corporations after relocation, and to present some implications that can contribute to the secondary relocation of public institutions to local areas. This study shows the statistically significant relationship between the psychological state occurred by relocation and organizational commitment. The result shows that the higher the expectation levels, the higher the degree of organizational commitment, while anxious psychological state has no relation with that. Additionally, expectation level has no significant functional relation with turnover intention. Followings are the major conclusions revealed in this study; The stronger the anxious psychological state, the higher the turnover inducement goes up. The higher the expectation levels, the higher the public service motivation grows, and the higher the anxiety psychological state, the public service motivation lowers. The organizational commitment grows according to the public service motivation proportionally, but the turnover inducement intention is weak. The moderating effect of public service motivation between the expectation of organizational change and turnover intention was not significant, but it was analyzed that the moderating effect of public service motivation formed a significant relationship with other anxiety psychology. The expectation levels of employees of electric power public corporations has grown up after moving to provincial areas. Relationship between the expectation mind and the turnover inducement has decreased after local relocation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.3
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• pp.139-153
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• 2024

The importance of sustainable growth and cost reduction has increased globally, leading to the expansion of outsourcing by companies. Additionally, the spread of the platform economy has brought changes in the way we work, and the online outsourcing market, where tasks are mediated through platforms, is growing. Academically, while research on general outsourcing is actively conducted, studies on online outsourcing are relatively insufficient compared to its actual utilization. This study aims to analyze the factors and performance factors of online outsourcing utilization by startups, to identify the effects and concerns of using online outsourcing from multiple perspectives, and to suggest the roles of various stakeholders for effective utilization and industry development. For the research, a survey was conducted with 281 employees of startups who have experience in using online outsourcing, and the main findings are as follows. First, the enhancement of efficiency, profitability, and innovation through the use of online outsourcing positively affects organizational commitment and job satisfaction of startup members. Especially, the improvement of efficiency due to the use of online outsourcing has a significant effect on enhancing job satisfaction. Second, concerns about the burden of online outsourcing fees or uncertain outcomes negatively affect organizational commitment and job satisfaction. Third, there are perceptual differences in the motivations and performance regarding the utilization of online outsourcing depending on the job position. Practitioners perceive that the use of online outsourcing increases organizational commitment, whereas managers have relatively higher concerns about the uncertainty of outsourced task outcomes and information security. Through this study, the possibility that human resource shortages and employee management issues in startups can be improved through online outsourcing was confirmed. By verifying the influence of various factors of online outsourcing utilization, this study also provides meaningful implications for establishing business strategies for online outsourcing intermediary platform companies and for formulating startup support policies by government and other startup support organizations.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.131-145
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• 2020

In line with the trend of industrial innovation, IoT technology utilized in a variety of fields is emerging as a key element in creation of new business models and the provision of user-friendly services through the combination of big data. The accumulated data from devices with the Internet-of-Things (IoT) is being used in many ways to build a convenience-based smart system as it can provide customized intelligent systems through user environment and pattern analysis. Recently, it has been applied to innovation in the public domain and has been using it for smart city and smart transportation, such as solving traffic and crime problems using CCTV. In particular, it is necessary to comprehensively consider the easiness of securing real-time service data and the stability of security when planning underground services or establishing movement amount control information system to enhance citizens' or commuters' convenience in circumstances with the congestion of public transportation such as subways, urban railways, etc. However, previous studies that utilize image data have limitations in reducing the performance of object detection under private issue and abnormal conditions. The IoT device-based sensor data used in this study is free from private issue because it does not require identification for individuals, and can be effectively utilized to build intelligent public services for unspecified people. Especially, sensor data stored by the IoT device need not be identified to an individual, and can be effectively utilized for constructing intelligent public services for many and unspecified people as data free form private issue. We utilize the IoT-based infrared sensor devices for an intelligent pedestrian tracking system in metro service which many people use on a daily basis and temperature data measured by sensors are therein transmitted in real time. The experimental environment for collecting data detected in real time from sensors was established for the equally-spaced midpoints of 4×4 upper parts in the ceiling of subway entrances where the actual movement amount of passengers is high, and it measured the temperature change for objects entering and leaving the detection spots. The measured data have gone through a preprocessing in which the reference values for 16 different areas are set and the difference values between the temperatures in 16 distinct areas and their reference values per unit of time are calculated. This corresponds to the methodology that maximizes movement within the detection area. In addition, the size of the data was increased by 10 times in order to more sensitively reflect the difference in temperature by area. For example, if the temperature data collected from the sensor at a given time were 28.5℃, the data analysis was conducted by changing the value to 285. As above, the data collected from sensors have the characteristics of time series data and image data with 4×4 resolution. Reflecting the characteristics of the measured, preprocessed data, we finally propose a hybrid algorithm that combines CNN in superior performance for image classification and LSTM, especially suitable for analyzing time series data, as referred to CNN-LSTM (Convolutional Neural Network-Long Short Term Memory). In the study, the CNN-LSTM algorithm is used to predict the number of passing persons in one of 4×4 detection areas. We verified the validation of the proposed model by taking performance comparison with other artificial intelligence algorithms such as Multi-Layer Perceptron (MLP), Long Short Term Memory (LSTM) and RNN-LSTM (Recurrent Neural Network-Long Short Term Memory). As a result of the experiment, proposed CNN-LSTM hybrid model compared to MLP, LSTM and RNN-LSTM has the best predictive performance. By utilizing the proposed devices and models, it is expected various metro services will be provided with no illegal issue about the personal information such as real-time monitoring of public transport facilities and emergency situation response services on the basis of congestion. However, the data have been collected by selecting one side of the entrances as the subject of analysis, and the data collected for a short period of time have been applied to the prediction. There exists the limitation that the verification of application in other environments needs to be carried out. In the future, it is expected that more reliability will be provided for the proposed model if experimental data is sufficiently collected in various environments or if learning data is further configured by measuring data in other sensors.

• Science of Emotion and Sensibility
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• v.18 no.1
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• pp.59-66
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• 2015

To date, contents' usability of most multimedia devices has been focused on developer not on user, which made difficult in solving the problems or fulfilling the needs while people using real system. Although user-centered UX and UI researches have been studied and have resulted in innovation in some part, it does not show great effect on usability as it is not easy to interpret human emotions and needs and to apply those to system. Usability is the matter on how deeply smart devices can interpret and analyze human mind not on how much functions and technologies are improved. This study aims to help with usability improvement based on user when people use smart devices in multimedia environment. We studied the interaction between human and contents by analyzing the effect of human emotions and personalities on preference and consumption of contents' type. This study was done by assuming that proper analysis on human emotions may increase user satisfaction on multimedia environment. We analyzed contents preference by gender and emotion. The results showed that there is significant relationship between 'Happy' emotion and 'Comedy Program' preference and men are more prefer it than women. However, it does not reveal any significant relationship between 'Sad' emotion and contents preferences but women are slightly more prefer 'Comedy Program' than men. This result supports the Zillmann's 'mood based management', which suggests that the needs for pleasant contents are revealed to relieve sadness when people are in a sad mood. In addition, our finding corresponds with Oliver's insistence on meeting all four factors, insight, meaningfulness, understanding and reflection, rather than just pleasure for more satisfaction. This study focused on temporary emotional factors and contents and additionally on effect of users' emotion, personality and preference on type of contents consumption. This relationship between emotions and contents study would suggest the better direction for developing smart devices with great contents usability and user satisfaction in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.153-164
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• 2012

Recently, as the one way of open Innovation management, Not a company's sole activity, but technology development and infrastructure buildup between companies for the synergistic effect of technological innovation, and technology transfer commercialization is needed. For a successful technology commercialization, it needs many experts like technology transfer agents, A technology transfer agent can be qualified with finishing its registration education course over 40 hours on the basis of the article 14 of law on the Promotion of Technology Transfer and the article 21 of the enforcement. After the 2010 revision of notice, the incorporated company, the Korea Technology Transfer agents has conducted the registration education. Until now, educations were conducted twice in January 2011 and November 2011. Accordingly, this study is necessary to improve the education service's quality and seek remedy through the in-depth evaluation of the present basic education service's quality. The results are as in the following. First, the service quality affect the satisfaction of the education service's quality positively. It is identified that the details of service quality of flexibility, reliability, responsiveness, conviction, and sympathy influence the education service satisfaction positively. Second, the education service satisfaction affects the attitude positively after completing the course. Third, service quality affects the attitude after completing the education course, Also it is identified that the details of service quality of flexibility, reliability, responsiveness, conviction, and sympathy influence the attitude after education completion. It is expected that this research may be used as the basic information for establishing education improvements and be helpful in establishing the technology transfer agents' registration education strategy. Through a continuous research, it is also expected that technology transfer markets are accelerated and qualified technology transfer agents are trained.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.12 s.148
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• pp.1571-1581
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• 2005

In a highly competitive marketplace, U.S. retailers are challenged to attract, recruit, and retain a skilled workforce. The purpose of our research was to examine the impact of young retail employees' work experiences on their job performance, job satisfaction, and career intention using a comprehensive approach to model development. The model was developed in three phases over a four-year period using both qualitative and quantitative methodologies. During Phase 1, we conducted focus group interviews to guide the development of the questionnaire. Work experience was initially operationalized as role conflict, role ambiguity, supervisory support, and work involvement. Using a student sample(n=470) from U.S. universities, we employed multiple regression to determine the significance of relationships between their work experience, job satisfaction, and retail career intention. During Phase 2, we expanded our investigation to include retail work experiences of teens employed while they were in high school. The teen sample(n=898) was drawn from students enrolled in work-study programs in 16 U.S. high schools, and data were analyzed using structural equation modeling (hereafter SEM). During Phase 3, we expanded our model to include two new variables, job characteristics and job performance. Based on a national sample(n=803) of U.S. university students, we employed SEM to holistically determine if retail employees' work experience impacted their job performance, job satisfaction, and retail career intention. During each phase, job satisfaction consistently was the superior antecedent of retail career intention. Among the work experience variables, supervisory support had a positive impact on job satisfaction, while role conflict, role ambiguity, and work involvement exhibited inconsistent effects on job outcomes. The strong relationship between job satisfaction and retail career intention should make job satisfaction a priority for retailers.

• Development and Reproduction
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• v.10 no.1
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• pp.63-73
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• 2006

This study aimed to find out suitable culture conditions for the differentiation of human amniotic membrane-derived stem cells(HAM) into hepatocyte-like cells. Almost homogenous population of fibroblast-like cells was successfully isolated from the amniotic membrane. In comparison to the non-coated plates and in the absence of insulin/transferrin/selenium(ITS), HAM cultured on the fibronectin-coated plates and in the presence of ITS showed the more intense immunocytochemical staining against the albumin. Addition of both fibroblast growth factor(FGF)-1 and -2 to the differentiation medium gave stronger staining compared to the treatment with FGF-1 or -2 alone. Periodic acid Schiff's base staining of glycogen and morphological turnover of fibroblast-like appearance of HAM into round shape matched the results of immunocytochemical studies. When the efficiency of two-step culture method was examined on the differentiation of HAM into hepatocyte-like cells, all of the results of immunocytochemical staining, periodic acid Schiff's staining and morphological change exhibited effective hepatic differentiation of HAM compared to the continuous culture method. Immunoblot analyses of HAM- conditioned media against the albumin showed that the culture of HAM in the presence of both ITS and fibronectin always gave a stronger staining intensity than those in the absence of them, and that the addition of ether mixture of FGF-4 and either FGF-2 or transforming growth $factor(TGF)-{\alpha}$ to the culture medium significantly enhanced the albumin secretion by HAM. Based on these observations, it is suggested that HAM could differentiate into hepatocyte-like cells under a culture condition consisting of fibronectin and ITS, and addition of FGF-4 with either one of FGF-2 or $TGF-{\alpha}$ could enhance the hepatic differentiation of HAM.

• The Korean Society of Law and Medicine
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• v.20 no.3
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• pp.47-79
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• 2019

The Korean Society of Law and Medicine has faithfully played the role of professional academic organizations last 20 years in terms of academic activities, accumulated achievements, diversity, professionalism, and influence on academic circles. The Korean Society of Law and Medicine and the Journal of Medical Law serve as a platform for academic information and exchange of opinions on medical law. Medical law began in the midst of increasing conflicts and disputes caused by medical malpractice and the enactment and legal coercion of medical care as pressure on medical workers. It tried to find a way to coexist with each other through the encounter and convergence of medicine and law. Medical criminal law extends from traditional crimes in the realm of life and body protection to bioethics violations caused by the development of biomedical technology, corruption and economic crime in the medical field. Medical law has evolved into a comprehensive legal area dealing with legal issues raised in medical treatment, healthcare, bioethics, and life sciences technology. On the legal side, medical law is not independent legal areas. It is overlapping with traditional law areas such as civil law, administrative law, criminal law, social law, civil and criminal procedure law. However, it is now established as a convergence study in medicine, bioethics, life science, as well as in various fields of law. It has become an area where collaboration is needed with the field of law, medicine, ethics, sociology and economics. Medical criminal law has undergone a dynamic development over the last two decades. The development of medicine and medical technology provides new and innovative methods of diagnosis and treatment. The achievements and risks of revolutionary developments in biotechnology, genetic engineering and medicine coexist. While there is a dazzling achievement that mankind has hoped for: combating disease and improving health, it also creates unwanted side effects and risks to humans. There is a need to reconsider ethical and legal principles. The discovery and development of patient identity and autonomy has changed the medical doctor-patient relationship. Furthermore, it was complicated by the triangle relationship of patients, medical doctors and insurance. Legal matters are also complicated. This is why the necessity of legislation is emerging. Criminal punishment provisions are also required. The Medical Law and Biomedical Law are systematically and coherently deformed as mosaic-based legislation that takes place whenever there are social issues, citizens' needs, and medical organizations' interests, rather than sufficient enactment and revision procedures. It needs a complete overhaul, and this is possible through interdisciplinary collaboration which is the strength of The Korean Society of Law and Medicine.

• Journal of Technology Innovation
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• v.26 no.3
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• pp.37-68
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• 2018

Since the 20th century, automobiles, which are the most common means of transportation, have been evolving as the use of electronic control devices and automotive semiconductors increases dramatically. Automotive semiconductors are a key component in automotive electronic control devices and are used to provide stability, efficiency of fuel use, and stability of operation to consumers. For example, automotive semiconductors include engines control, technologies for managing electric motors, transmission control units, hybrid vehicle control, start/stop systems, electronic motor control, automotive radar and LIDAR, smart head lamps, head-up displays, lane keeping systems. As such, semiconductors are being applied to almost all electronic control devices that make up an automobile, and they are creating more effects than simply combining mechanical devices. Since automotive semiconductors have a high data rate basically, a microprocessor unit is being used instead of a micro control unit. For example, semiconductors based on ARM processors are being used in telematics, audio/video multi-medias and navigation. Automotive semiconductors require characteristics such as high reliability, durability and long-term supply, considering the period of use of the automobile for more than 10 years. The reliability of automotive semiconductors is directly linked to the safety of automobiles. The semiconductor industry uses JEDEC and AEC standards to evaluate the reliability of automotive semiconductors. In addition, the life expectancy of the product is estimated at the early stage of development and at the early stage of mass production by using the reliability test method and results that are presented as standard in the automobile industry. However, there are limitations in predicting the failure rate caused by various parameters such as customer's various conditions of use and usage time. To overcome these limitations, much research has been done in academia and industry. Among them, researches using data mining techniques have been carried out in many semiconductor fields, but application and research on automotive semiconductors have not yet been studied. In this regard, this study investigates the relationship between data generated during semiconductor assembly and package test process by using data mining technique, and uses data mining technique suitable for predicting potential failure rate using customer bad data.