• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.1
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• pp.33-46
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• 2017

In Korea, small and medium sized domestic enterprises (SMEs) play an pivotal role in the national economy, accounting for 99.8% of all enterprises, 87.9% of total employment, and 48.3% of production. and SMEs were driving a real force of the development of national economy in many respects such as innovation, job creation, industrial diversity, balanced regional development. Despite their crucial role in the national development, most of SMEs suffer from a lack of R&D capabilities and equipments as well as funding capacity. Government-Supported Research Institute (GRI) can provide SMEs with valuable supplementary technological knowledges and help them build technological capacities. so, In order to effectively support SMEs, government and GRI must be a priority to know about the factors influencing the performance related to technology transfer and technological collaborations. The paper analyzes the effects of Korean IT SMEs Venture external collaborations and technology transfer on their performances, according to their collaboration activities and technology transfer experiences. The results show that there was a significant difference between '3~5times' of technology transfer experience and 'zero technology transfer experience' in the case of technology transfer experience. In case of technological collaboration type, there was a significant difference between 'R&D manpower' and 'enhancement of technological capabilities including core technologies'. The results show that the effectiveness of technology transfer of Korean IT SMEs Venture depends on experiences, types of collaboration activities. so the results of this research will be useful for Government-Supported research institute (GRI)' policy makers when establishing technology commercialization support policies and strategic planning of small and medium sized domestic enterprises.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.74-82
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• 2016

The term research institute spin-offs refers to new firms created by public research institutes. These spin-offs are different from other start-ups in two respects: on the one hand, they should be located in the Special Research and Development Zones and, on the other hand, these firms are supposed to commercialize the results of public R&D activities. These spin-off firms show higher rates of survival and job creation than general new firms, which means that their contribution to economic growth is not negligible. The present study analyzes the factors affecting research institute spin-offs using a random effect panel logit model and negative binomial model. From previous studies, four elements are identified as playing an important role in the commercialization of public R&D through spin-offs, namely their organizational character, research capability, technological character, and geographical location. The empirical results demonstrate that government research institutes with more researchers and patents are more likely to create new firms. In addition, the location of the institutes significantly affects the probability of their creating spin-offs and their number. When the technological stage and TLO size are considered, however, it turns out that the number of researchers and technological stage play important roles in the spin-offs.

• Journal of Technology Innovation
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• v.25 no.4
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• pp.107-143
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• 2017

This study aims to understand the impact of internal and external environments and innovation efforts on a company's performance. First, the relationships and patterns between variables were determined through an exploratory factor analysis. Afterwards, a cluster analysis was conducted, in which the influential factors summarized in the factor analysis were classified. Finally, structural equation modeling was used to carry out an empirical analysis of the structural relationship between innovation efforts and the company's performance in the classified clusters. 7 factors were derived from the exploratory factor analysis of 40 input variables from external and internal environments. 4 clusters (n=1,022) were formed based on the 7 factors. Empirical analysis of the 4 clusters using structural equation modelling showed the following: Only independent technology development had a positive impact on the company's performance for Cluster 1, which is characterized by sensitivity to a technological/competitive environment and innovativeness. Only independent technology development and joint research had positive impacts on the company's performance for Cluster 2, which is characterized by sensitivity to a market environment and internal orientation. Joint research and the mediating variable of government support program utilization had positive impacts, while the introduction of technology had a negative impact on the company's performance for Cluster 3, which is characterized by sensitivity to a competitive environment, innovativeness, and willingness to cooperate with the government and related institutions. Independent technology development as well as the mediating variables of network utilization and government support program utilization had positive impacts on the company's performance for Cluster 4, which is characterized by openness and external cooperation.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.143-149
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• 2017

The company strives constantly to prepare for the current crisis and uncertainty of the future and to strengthen its competitiveness. At times, it strives to strengthen its competitiveness through continuous innovation, as well as securing technological innovation and talented personnel. However, even if the company makes such a hard effort, the sustainable growth of the enterprise will not be guaranteed unless smooth communication and efforts among the internal resources are supported. The social responsibility of management and the attitude of labor-management relations are important factors for the smooth coordination of labor-management relations. Therefore, this study empirically analyzed the relationship between manager 's social responsibility, labor relations attitude and job performance. The results of this study showed that the social responsibility of managers affects job satisfaction and job commitment. In addition, managers' attitudes toward labor relations have an effect on job satisfaction and job commitment. Also, job satisfaction has a positive effect on job commitment. The result of this study can be used as a practical application data for establishing new labor - management relations among the managers of the enterprise in the future.

• Journal of Venture Innovation
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• v.7 no.1
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• pp.201-223
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• 2024

This study undertook an empirical analysis to examine the impact of various factors on entrepreneurial intention among young people, with a particular focus on the role of startup mentoring. Employing a survey distributed nationwide, data from 250 valid respondents were subjected to structural equation modeling to investigate these dynamics. The analysis uncovered that workplace stress, subjective norms, and perceived behavioral control positively influence the entrepreneurial intentions of youth. Meanwhile, technological constraints negatively affected these intentions. The study did not explore the potential effects of future uncertainty and the burden of failure. Significantly, it was found that startup mentoring plays a crucial role in mitigating the negative impacts that may deter young individuals from pursuing entrepreneurship. Mentoring was instrumental in reducing negative influences, thereby fostering a more conducive environment for entrepreneurial ambition. By integrating the Push-Pull-Mooring (PPM) and Theory of Planned Behavior (TPB) models, this research not only validates these frameworks within the context of youth entrepreneurship but also underscores the essential function of startup mentoring in enhancing entrepreneurial intentions. The insights from this study highlight the importance of mentoring programs in nurturing the entrepreneurial spirit among the youth, suggesting that targeted mentoring support can play a pivotal role in overcoming barriers to entrepreneurship.

• Journal of Technology Innovation
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• v.17 no.1
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• pp.149-177
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• 2009

Today, the phase of modem war is very different from past war. That is, the winning of war depends on the ability to obtain information and high technology. The purposes of this research are to propose an effective R&D governance model in national defense sector and to present R&D strategy for obtaining core national defense technology. As a part of collaborative innovation, the strategy to exchange R&D results actively between the defense sector and the private sector will be discussed. The main contribution of this research is dearly defining the concept of R&D governance in national defense sector and applying it to an actual case. The national defense R&D governance model proposed in this paper is based on the characteristics of national defense R&D which are different from other industries. The analysis of business success factors for national defense R&D through the T-50 case study is presented in detail. The T-50 case study reveals the importance of strategic intent, core technology knowledge base, organizational structure, and project management.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.49-65
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• 2018

The purpose of the research is to identify the effects of brand evidence, brand personality and negative factors on extended brand trust and customer purchase intention in IoT (Internet of Things) service. Negative factors include scarcity marketing and privacy concern. To achieve this objective, we analyzed the 269 respondents who had used Xiaomi products at least more than once. The results of this study are as follows: First, it was found that core service, self-image congruence of brand evidence and brand personality has a positive influence on extended brand trust. But, perceived price of brand evidence is not related to extended brand trust. Secondly, Scarcity marketing influenced extended brand trust. But, Privacy concern is not related to extended brand trust. Consumers did not realize privacy because of technological innovation of IoT. Thus, the research has a different significance from antecedent research.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.1
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• pp.121-131
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• 2010

Technological innovation depends on the quality of workers, whose ability is the key component to raise business competitiveness. Our study evaluates how satisfactory is the training of workers at small and medium sized firms, and suggest how to improve upon it. We show the theoretical framework for the relation between customer satisfaction and their behavioral intent on the one side, and factors of training service quality. Our result show: (1) Factors affecting customer satisfaction are, in descending order of importance, expertise, policy, follow-up service, attitude and behavior, and convenience. (2) Contrary to established views on the service quality, satisfaction for training would not be the prerequisite variable for intent to act, in case of training service quality. (3) Satisfaction level for training depends on the type of organization in charge of training (government, university, or private sector.) It also varied among different types of business (L-type, A-type, and J-type.) Small and medium sized firms find it difficult to commit to training education due to lack of money and manpower. The recent expansion of free training service would address part of this problem. On the other hand, the outfit in charge of training could boost service quality by customizing their training program to the type of business they cater to.

• Journal of Venture Innovation
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• v.7 no.1
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• pp.41-57
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• 2024

This study analyzed the relationship between the level of the venture environment, the benefits of the venture business verification system, internal capabilities, and management performance through the actual data of domestic venture companies collected in the Venture Business Precision Survey. As a result of the empirical analysis, the level of venture infrastructure did not affect the company's capabilities, but it was found that the venture company confirmation system had a positive effect. In the case of corporate competency, it was found that it had a positive effect on technological performance, but had no effect on sales performance. However, the research results confirmed that internal competency mediates the relationship between the venture environment level and the benefits of the venture business confirmation system and business performance. This study has the implications of confirming a series of processes leading to competency and performance in the environment using data from actual venture companies, and confirming the importance of corporate competency. In addition, since we confirmed the effect of the environmental factors of the venture environment level and the venture business confirmation system on the internal performance, if the process is introduced in the later reorganized venture business confirmation system, we will examine the factors that can enhance the performance of venture businesses. A more precise check is expected.

• Asia pacific journal of information systems
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• v.21 no.3
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• pp.71-96
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• 2011

Within the traditional medical delivery system, patients residing in medically vulnerable areas, those with body movement difficulties, and nursing facility residents have had limited access to good healthcare services. However, Information and Communication Technology (ICT) provides us with a convenient and useful means of overcoming distance and time constraints. ICT is integrated with biomedical science and technology in a way that offers a new high-quality medical service. As a result, rapid technological advancement is expected to play a pivotal role bringing about innovation in a wide range of medical service areas, such as medical management, testing, diagnosis, and treatment; offering new and improved healthcare services; and effecting dramatic changes in current medical services. The increase in aging population and chronic diseases has caused an increase in medical expenses. In response to the increasing demand for efficient healthcare services, a telehealth service based on ICT is being emphasized on a global level. Telehealth services have been implemented especially in pilot projects and system development and technological research. With the service about to be implemented in earnest, it is necessary to study its overall acceptance by consumers, which is expected to contribute to the development and activation of a variety of services. In this sense, the study aims at positively examining the structural relationship among the acceptance factors for telehealth services based on the Technology Acceptance Model (TAM). Data were collected by showing audiovisual material on telehealth services to online panels and requesting them to respond to a structured questionnaire sheet, which is known as the information acceleration method. Among the 1,165 adult respondents, 608 valid samples were finally chosen, while the remaining were excluded because of incomplete answers or allotted time overrun. In order to test the reliability and validity of the assessment scale items, we carried out reliability and factor analyses, and in order to explore the causal relation among potential variables, we conducted a structural equation modeling analysis using AMOS 7.0 and SPSS 17.0. The research outcomes are as follows. First, service quality, innovativeness of medical technology, and social influence were shown to affect perceived ease of use and perceived usefulness of the telehealth service, which was statistically significant, and the two factors had a positive impact on willingness to accept the telehealth service. In addition, social influence had a direct, significant effect on intention to use, which is paralleled by the TAM used in previous research on technology acceptance. This shows that the research model proposed in the study effectively explains the acceptance of the telehealth service. Second, the research model reveals that information privacy concerns had a insignificant impact on perceived ease of use of the telehealth service. From this, it can be gathered that the concerns over information protection and security are reduced further due to advancements in information technology compared to the initial period in the information technology industry, and thus the improvement in quality of medical services appeared to ensure that information privacy concerns did not act as a prohibiting factor in the acceptance of the telehealth service. Thus, if other factors have an enormous impact on ease of use and usefulness, concerns over these results in the initial period of technology acceptance may become irrelevant. However, it is clear that users' information privacy concerns, as other studies have revealed, is a major factor affecting technology acceptance. Thus, caution must be exercised while interpreting the result, and further study is required on the issue. Numerous information technologies with outstanding performance and innovativeness often attract few consumers. A revised bill for those urgently in need of telehealth services is about to be approved in the national assembly. As telemedicine is implemented between doctors and patients, a wide range of systems that will improve the quality of healthcare services will be designed. In this sense, the study on the consumer acceptance of telehealth services is meaningful and offers strong academic evidence. Based on the implications, it can be expected to contribute to the activation of telehealth services. Further study is needed to assess the acceptance factors for telehealth services, such as motivation to remain healthy, health care involvement, knowledge on health, and control of health-related behavior, in order to develop unique services according to the categorization of customers based on health factors. In addition, further study may focus on various theoretical cognitive behavior models other than the TAM, such as the health belief model.