• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.17 no.1
• /
• pp.157-175
• /
• 2022

At this moment, a paradigm shift is taking place across all sectors of society for the transition movements to the digital economy. Various movements are taking place in the global agricultural industry to achieve innovative growth using big data which is a key resource of the 4th industrial revolution. Although the government is making various attempts to promote the use of big data, the movement of the agricultural industry as a key player in the use of big data, is still insufficient. Therefore, in this study, effects of performance expectations, effort expectations, social impact, facilitation conditions, based on the Unified Theory of Acceptance and Use of Technology(UTAUT), and innovation tendencies on the acceptance intention of big data were analyzed using the economic and practical benefits that can be obtained from the use of big data for agricultural-related companies as moderating variables. 333 questionnaires collected from agricultural-related companies were used for empirical analysis. The analysis results using SPSS v22.0 and Process macro v3.4 were found to have a significant positive (+) effect on the intention to accept big data by effort expectations, social impact, facilitation conditions, and innovation tendencies. However, it was found that the effect of performance expectations on acceptance intention was insignificant, with social impact having the greatest influence on acceptance intention and innovation tendency the least. Moderating effects of economic benefit and practical benefit between effort expectation and acceptance intention, moderating effect of practical benefit between social impact and acceptance intention, and moderating effect of economic benefit and practical benefit between facilitation condition and acceptance intention were found to be significant. On the other hand, it was found that economic benefits and practical benefits did not moderate the magnitude of the influence of performance expectations and innovation tendency on acceptance intention. These results suggest the following implications. First, in order to promote the use of big data by companies, the government needs to establish a policy to support the use of big data tailored to companies. Significant results can only be achieved when corporate members form a correct understanding and consensus on the use of big data. Second, it is necessary to establish and implement a platform specialized for agricultural data which can support standardized linkage between diverse agricultural big data, and support for a unified path for data access. Building such a platform will be able to advance the industry by forming an independent cooperative relationship between companies. Finally, the limitations of this study and follow-up tasks are presented.

• Journal of Industrial Convergence
• /
• v.20 no.12
• /
• pp.87-96
• /
• 2022

The Ministry of Land, Infrastructure and Transport has also been promoting the commercialization of land transport technology to commercialize the technologies owned by small and medium-sized venture companies, and to support the transfer and commercialization of public technologies. At this point, in order to improve the investment effect of subsequent new projects and to select excellent research institutes, it is necessary to establish a valid evaluation index system suitable for the purpose of the project. The evaluation index system for subsequent new projects should be linked to the project objectives and goals of the preceding project, and should be selected in consideration of existing evaluation indicators to prevent interruption of research results. Therefore, this thesis sets the evaluation index system into multiple scenarios through hierarchical cluster analysis using the evaluation result data for each evaluation committee for small and medium venture companies participating in the land transportation technology commercialization support project, and then analyzes the structural equation model. As a result of scenario analysis, considering the measurement effect of each path representing the causal relationship between evaluation indicators and the effect of each evaluation index on evaluation items, the scenario with the highest impact on the evaluation result was selected as an improvement plan.

• 한국벤처창업학회:학술대회논문집
• /
• 2017.04a
• /
• pp.57-57
• /
• 2017

최근 들어 대학 내 창업교육은 정부 및 공공, 지방자치단체 등의 관심과 지원으로 급격히 확산되고 있다. 교양 및 전공분야의 다양한 창업교육 강좌 및 창업 친화적 학사제도 등 인프라 및 환경적 요인도 충분해졌다고 할 수 있다. 하지만, 그럼에도 불구하고 아직까지 양질의 창업교육 콘텐츠 및 교수법, 교수 역량 활성화, 지역 및 대학 간 편차 해소 등 질적인 부분에 있어서는 새로운 변화와 보완이 필요하다고 할 수 있겠다. 이에 본 연구는 대학 내 교수자, 교직원, 학생들이 손쉽게 접근하고 활용할 수 있는 온라인 창업교육 플랫폼 구축을 통해 대학 창업교육의 질적 고도화 방안을 제시하고자 한다. 아울러 본 연구를 통해 수도권과 지역 대학 간 발생하고 있는 창업교육의 편차를 해소하고 질 좋은 창업교육 운영 및 콘텐츠 지원을 위한 체계적인 온라인 창업교육 시스템 구성 체계 및 기능, 활용방안, 기대효과 등을 제언하고자 한다. 본 연구는 대학에서 운영하고 있는 창업 교육 관리시스템을 개발하기 위해서 시스템 개발의 기본 방향을 설정하고, 그에 따른 정보화교육 관리시스템에 대한 준수하여야 할 기본 설계 방향을 설정할 것이다. 구조적 개발 방법론을 적용하여 시스템의 기능적 요구사항을 도출하고, 시스템 요구를 만족시킬 수 있도록 설정한 시스템의 주요 기능에 대하여 기술할 것이며, 개발해야 할 된 시스템의 구성도 및 시스템 운영 시 필요한 하드웨어 소프트웨어 제반 운영환경에 대하여 논의하고자 한다. 온라인 창업교육플랫폼을 개발함에 있어 가장 우선 검토해야 할 요건은 창업교육과정을 원하는 학생들과 교강사가 플랫폼에 간단하게 접근할 수 있도록 하는 것이다. 또한 교 강사들이 언제든 플랫폼을 통하여 시스템에 접근하여 학생의 교육과정 내용과 진도사항, 창업 관련 자료에 대하여 제공 받을 수 있도록 하며, 학생들이 교강사에게 멘토링 받고 싶은 내용이 있다면 플랫폼을 통해 멘토링이 가능하여야 할 것이다. 본 연구를 통하여 개발하는 온라인 창업 교육 플랫폼은 관리자, 학생, 교강사 등 구성원들의 요구사항을 청취하고, 이들의 요구를 정확히 분석하여 구성원들의 불편함을 해소할 수 있도록 개발하고자 한다. 플랫폼의 구성요소는 첫째, 온라인 창업 교육 플랫폼은 온라인 기반으로 구성하여 교강사와 학생들이 교육의 효율성을 위하여 공동으로 사용할 수 있는 사이트 공간을 제공할 필요가 있다. 둘째, 온라인 창업 교육 플랫폼의 주된 이용자는 창업 교육을 받는 학생과 창업교육을 하는 교 강사도 이를 관리하기 위한 전체 및 지역별 운영관리자도 존재해야 할 것이다. 셋째, 창업교육에 참여하 학생 및 교강사들의 컴퓨터 활용도의 차이가 있을 수 있을 것이다. 플랫폼은 비주얼하게 개발하여 학생 및 교강사가 쉽고, 부담 없이 접근할 수 있는 이용자 인터페이스를 채택해야 하며, 아울러 이해하기 쉬운 메뉴와 간결하게 구현해서 제공할 필요가 있으며, 이것은 온라인 창업교육 플랫폼 사용의 효율성을 제공하는 것이다. 학생들에게는 플랫폼 통하여 자신들의 창업 능력을 배양하여 학습에 도움이 되어야 하며, 교강사에게는 언제든 실시간으로 최신의 정보를 제공함으로써 플랫폼에 대한 신뢰성이 확보 될 수 있도록 설계 되어야만 창업교육의 효과를 극대화 할 수 있으며, 대학 등에서는 보다 안정적인 학생 관리에 최선을 다 할 수 있을 것이다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.13 no.3
• /
• pp.37-46
• /
• 2018

This paper define the research problem as the jeopardized situation of most startups in early chasm. Korean government have put more policy focus on helping these startups to jump over the chasm. One of the effective policy measures helps these startups defining the core competencies validated from target customers, in-housing them effectively, and therefore enhancing the level of differentiation against the competitors by "Product Pivoting Training Boots Camp." It ultimately give the key nudge to startups in struggling with unsold products after initial launch to the market. This paper carried out the empirical test to the target sample of startups participating in this camp. In particular, this research analyze the level of satisfaction of startups, as move along with characteristics of the participant and training program, going through this camp whether it enhance their will of application into real business case. The survey were delivered and collected from 203 startups in attending "Product Pivoting Academy, the following program of Startup Jump-up package policy module. The research result shows that all startups participating in this academy were so much satisfied and motivated strongly to take the training process into applying real business case in order to increase sales. The quality of the training program and the characteristics of the participants had mediating variable effects on the will of application with respect to the level of satisfaction. It imply that the program should put more attention on improving coaches' nudge and learning motivation of participants to enhance the level program satisfaction.

• 한국벤처창업학회:학술대회논문집
• /
• 2007.04a
• /
• pp.35-64
• /
• 2007

Despite the tremendous efforts to boost them, domestic SMEs lack competitive power and it intensifies bipolarization between the conglomerates and SMEs. Furthermore, degree of industry-academy collaboration still falls far behind of that of developed countries even with government' s various policies and continuous increase in investment to strengthen the SMEs' technology innovation capability. Although many internal factors are suggested to affect technological performance, focus of existing studies has been restricted to immediate impact of industry-academy collaboration on technology innovation and it is not known how internal factors are related. This research conducts empirical analysis on the impact of industry-academy collaborations and absorptive capacity on technological performance in Korean SMEs. Sample frame is SMEs with more than five employees located in the nation wide industrial complex and 1,077 questionnaires are collected with the help of Korea Industrial Complex Corporations. 940 sample data excluding those with insufficient response are used in analysis. Multiple regression analysis revealed that the industry-academy collaborations and innovative HRM system, on important dimension of absorptive capacity, are positively correlated to technological performance. Furthermore, there exists a positive interaction effect between industry-academy collaborations and innovative HRM system. These findings make contributions to the formation of SME innovation policy and management. When funding industry-academy collaborations, government should consider SMEs' internal effort for innovation, that is, the possession of innovative HRM system, as well as firm's technology capability. Also, as technological performance cannot be achieved simply with R&D investment, both quantitative and qualitative assessment of SMEs' technological capability should be done to evaluate the candidate SMEs. As for management, it is important for SMEs with limited internal resources and capabilities to fully employ external resources to achieve higher technological performance. The development of innovative HRM system will be particularly helpful not only for internal R&D, but also for adoption of technology and knowledge from outside.

• Journal of Venture Innovation
• /
• v.5 no.1
• /
• pp.145-154
• /
• 2022

This study briefly compares the first-cycle certification of nursing hospitals with the second-cycle certification, reviews the changes and achievements of the second-cycle certification and the third-cycle certification, and examples of challenges and solutions in the process of preparing the third-cycle certification. In this study, it is suggested as follows. First, in order to see the practical effect of certification intended by the government, the exhibition is prepared in a short period of time before certification. Second, after the implementation of the nursing hospital certification system, research on the hospital performance of the medical institution certification system is insufficient in terms of quality and quantity. Therefore, in order to see the effect on the certification system, various research support is also required so that research on this can be actively conducted. Third, design certification standard guidelines from a long-term perspective so that the standard guidelines for certification do not change significantly, and certify not only the guidelines but also individual standards and forms that can be used by medical institutions. Fourth, in the four-cycle certification, accurate and realistic guidelines for infection control and quarantine ward operation support should be developed. The importance of managing infectious diseases will be highlighted in the future due to COVID-19. Fifth, medical institutions can improve the quality of medical care in nursing hospitals and have competitiveness if their daily activities, not short-term certification preparation, are carried out in accordance with certification standards, which affects performance. Sixth, when preparing for certification, nursing hospital officials have problems in organizing documents or processing administratively in the short term as in the past. This is also based on the certification criteria for the usual business process.

• The Journal of Small Business Innovation
• /
• v.21 no.1
• /
• pp.15-26
• /
• 2018

SMEs need a strategy to respond to rapid changes in the global business environment of the Fourth Industrial Revolution. In order to overcome such a business environment, SMEs must concentrate on the core competency. Because of the structural characteristics of SMEs, government support is very important, as it is difficult for SMEs to carry out the entire supply chain role. The support of GRIs is very important for ensuring competitiveness through technological innovation of SMEs. Recently, the construction of SMEs network for business expansion is demanded. SMEs can form networks to induce synergistic effects. In order to secure the competitiveness of SMEs by utilizing the advantages of mutually cooperating networks, the necessity of cooperation of SMEs is increasing. The government has proposed various support programs to support network cooperation. In this research, in order to derive an effective strategy of the SME support program, we analyzed the difference in necessity and satisfaction of the GRIs support program. We analyze the differences between government policies and perceptions for SMEs and to derive strategies for supporting SMEs in a systematic approach for the development of SMEs. In a situation where research to revitalize SMEs is insufficient, in consideration of the market demand of SMEs, we grasp the problems of the current system and try to guide improvement strategies. Also, we suggest policies that can derive and utilize support strategies for SMEs. From a long-term perspective, research related SMEs must be conducted and a sustainable support program for SMEs must be developed.

• Journal of Venture Innovation
• /
• v.3 no.2
• /
• pp.41-76
• /
• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.10 no.3
• /
• pp.75-83
• /
• 2015

This article investigates the impact of SMEs' R&D expenditure, government R&D funding, the number of funded by Government R&D programs on the employment growth rate. This study also explores whether government R&D funding and the number of funded by Government R&D programs have interaction effects between SMEs' R&D expenditures and the employment growth rate. The results show that SMEs' R&D expenditure and government R&D funding have a positive effect on the employment growth rate. The rest of variables have no significant direct effects on the employment growth rate. The government R&D funding has a interaction effect between SMEs' R&D expenditures and the employment growth rate. Especially, the firm group of high-level innovation capabilities has a positive effect on the employment growth rate. The results explain that the government R&D funding influences SMEs' employment positively and the impact of the government R&D funding on employment is more effective in the firm group of high-level innovation capabilities. Therefore, Government provides differentiation strategy of R&D funding by innovation capabilities of SMEs and can maximize the employment.

• Journal of Venture Innovation
• /
• v.5 no.2
• /
• pp.67-84
• /
• 2022

This study attempts to verify the double mediating effects of trait anxiety and burnout in the relationship between socially prescribed perfectionism and subjective well-being of employees. For this study, 300 office workers were surveyed to measure the trait anxiety, the burnout, the socially prescribed perfectionism and subjective well-being. The collected data were analyzed with SPSS PROCESS Macroin an bootstrapping method. The result of this study can be summarized as follows. First, socially prescribed perfectionism had significant positive relationship with trait anxiety and burnout. Socially prescribed perfectionism had significant negative relationship with subjective well-being. Also trait anxiety had significant positive relationship with burnout and significant negative relationship with subjective well-being. In addition, burnout had significant negative relationship with subjective well-being. Second, trait anxiety and burnout fully mediated the relationship between socially prescribed perfectionism and subjective well-being. Third, there was a dual mediation effect on trait anxiety and burnout in the relationship between socially prescribed perfectionism and subjective well-being. In conclusion, it suggests that in order to elevate subjective well-being of employees with a high level of socially prescribed perfectionism, it would be more effective to deal with trait anxiety and burnout which are proved to make them happy than to deal with perfectionism itself.