• Asian Journal of Innovation and Policy
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• v.7 no.3
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• pp.564-580
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• 2018

The creation of academic start-up firms is an important and practical issue in the management of technology in Japan. The present study designs a model for creating academic start-up firms that fits into the social context. It focuses on the case of FIRST Program, an initiative that consists of 30 projects in innovative arenas, analyses the presence of large-scale public funding, and investigates the role of venture capitalists as support personnel in each project. As a result, the presence and significance of 'long-term escort' by an 'entrepreneurial venture capitalist (EP-VCist)' were confirmed as common features across the cases observed. EP-VCist refers to a person who can maintain and fulfil dual roles at a university and a venture capital firm, and who can take the lead throughout the venturing process as a risk taker. 'Long-term escort' is a form of support that reduces risks in the venturing process by supporting university researchers in the pre-entrepreneurial stage and by exerting a robust bridging role between a university and an industry.

• Journal of Distribution Science
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• v.14 no.2
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• pp.93-101
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• 2016

Purpose - This study aims to advance our knowledge about factors influencing technical startup performance through analysing technical startup process empirically. This study was conducted to focus on industry structure(industry growth rate, competitive intensity, and enter barriers), technology characteristics(technical excellence and wide range of technical application), and the performance in the technology-based start-ups. Specifically, analyzing moderating effect of technology-marketing strategy, this studied how moderating variables affect technical startup performance under industry structure. Research design, data, and methodology - The subject of this study was technology-based start-ups company that received technology transfer from public organization. The development of the paper model is based on the literature of the preceding research analysis in technology commercialization, performance of technology-based start-ups, and marketing strategy. This study has a construct that was defined in the previous studies, such that technology marketing strategy was defined into the two ways of being broad or narrow in strategic application. From November 3. 2015 to December 22, 220 questionnaires were distributed with targeting to start-up companies in technology-based. 188 responses were collected for empirical analysis except the missing and wrong value responses. This data were used for structural equation modeling and regression analysis. Results - The results of this study are as follows. First, as industry structure variables influencing on performance(technical, financial) of technology-based start-ups, industry growth rate, competitive intensity and enter barriers of variables were verified; high growth rate has more positive effect on performance than low growth rate, competitive low intensity has more positive effect on performance than competitive high intensity, low enter barriers have more positive effect on performance than high enter barriers. Second, as technology characteristics variables influences on the performance(technical, financial) of technology-based start-ups, technical excellence and wide range of technical application of variables were verified ; technical high-excellence has more positive effect on performance than technology low-excellence, wide range of technical application has more positive effect on performance than narrow range of technical application. We also find that technology marketing strategy(broad/narrow) in moderating factors on performance (technical, financial) is as follows. Analyzing the moderating effect depending on technology marketing strategy(broad/narrow), application of technology, and the types of technology strategy(broad/narrow) were revealed that broad marketing strategy had a more significant effect on performance of technology-based start-ups. With AMOS, the relevancy of the study model revealed higher for broad technology-marketing strategy than narrow technology marketing strategy, and the explanatory power revealed to be 6.4% higher in broad marketing strategy than narrow marketing strategy. Conclusions - This study confirmed that industry structure and technology characteristics are important factors influencing the performance of technology-based start-ups. Technology-marketing strategy affects the performance of technology-based start-ups between industry structure and technology characteristics. According to additional analysis, moderating variables and technology-marketing strategy are important factors influencing the performance of technology-based start-ups under industry structure and technology characteristics. Broad type of technology-marketing strategy has more attractive industry structure and excellent technology characteristics than narrow types of technology-marketing.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.245-259
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• 2020

The development of technology and the advent of a non-face-to-face society are expected to have a direct impact on job problems. In line with this phenomenon, the government and education and training institutions are coping with job problems through the start-up support policy while at the same time inducing the creation of innovative companies. In particular, youth start-up support can be expected not only to compensate for market failures, but also to promote high-growth start-ups. Based on this background of research, this study examined the competency of young entrepreneurs to start their own businesses, their entrepreneurial self-efficacy, and their impact on success and satisfaction of start-ups. Based on the theoretical research, the research theory and research model were derived by setting entrepreneurial self-efficacy as a mediating variable after reviewing the relation between the main elements of start-up competency of young start-up entrepreneurs and start-up performance. The Youth Entrepreneurship Competency was divided into four categories: Entrepreneurial Competencies, Technical Competencies, Management Competencies, and Creative Competencies, and the hypothesis was that each had a significant impact on the start-up performance through the mediating effect of entrepreneurial self-efficacy. A survey was conducted on young entrepreneurs in their 20s and 30s in Korea for empirical research, and the analysis results were as follows. First of all, the competency of young entrepreneurs to start their own businesses affects the success of start-ups and the satisfaction of start-ups. There are differences in the competencies, and both technical and management competencies can be seen through the entrepreneurial self-efficacy to enhance the success of start-ups and the satisfaction of start-ups. Entrepreneurial competency was fully mediated to start-up success and partially mediated to start-up satisfaction. In the case of creative competency, there were only direct effects on successful start-ups, and the satisfaction of start-ups showed partial mediating effects. Thus, seven of the eight detailed hypotheses were supported and one was rejected. Based on the above findings, the implications were presented.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.451-459
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• 2024

Recently, the size of the online education service market has been growing, but the B2C platform education service market, where companies take the lead in creating content and consumers consume the content, has become widespread. This makes content creation rigid and may have limitations in creating at various levels. This Study newly establishes the concept and type of customer needs, wants, innovation, and platform business, and presents new start-up success factors in all fields of platform business start-up and a standard diagnostic process for the possibility of platform start-up success. Through the presented process, customers, core activities, and value proposition factors can be derived. Finally, a business model for starting a C2C platform for elementary, middle, and high school education is built centered on the business model canvas.

• Journal of Korea Trade
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• v.24 no.6
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• pp.173-193
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• 2020

Purpose - This study aims to examine the effect of entrepreneurship of start-ups on export performance when the business closure rate is higher than business start-up rate in Korea. Thus, this study analyzes various factors for start-ups established within the past seven years and uses export performance as an indicator. Prior to analysis of factors, the study defines the concepts of start-up factors based on various studies. Design/methodology - In order to analyze the export performance of startups, this study conducted an empirical analysis using statistical analysis. Theories were established based on previous studies, and hypotheses and research models were designed based on the established theories. Subsequently, in order to verify the research hypothesis and research model, factor analysis such as validity and reliability, and structural equation modeling were analyzed. Findings - As a result of analysis based on previous studies, we found that there is a difference between theoretical and practical aspects. Whereas previous studies showed that market orientation, technology orientation, and social capital have a direct impact on export performance, the present study analyzed that there is no such impact, and that technology capabilities were important as a result of the unique traits of start-ups. Originality/value - Existing studies have limitations in understanding the overall characteristics of a company by using market orientation, technology orientation, and social capital as individual independent variables. In addition, the existing researches have been analyzed in relation to corporate performance, whereas this study has been limited to export performance, so it can be regarded as different from other studies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.5
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• pp.1-14
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• 2021

Innovation and Scale-up of Start-up companies are becoming important national tasks. In the past, it was spread the start-up policy paradigm such as 'Start-up America', 'Start-up Chile', 'Start-up Britain' to overcome the recession globally. However as the economic recovery has become more visible recently in advanced economies, it is shifting from a start-up support policy to a scale-up oriented policy paradigm such as 'Scale-up America', Scale-up UK', 'Scale-up Denmark'. It is necessary to enter the scale-up phase beyond the start-up phase to increase the number of high-quality jobs and to continue economic growth. Therefore, it is necessary to grow the start-up into a strong medium-sized company and to lay the foundation for survival. Therefore, the purpose of this study is to consider the antecedent factors that influence the scale-up aspiration for the start-up firm to grow into a scale-up company, and empirically identifies the differences between the stages of economic development and entrepreneurs in the country. In order to accomplish the purpose, this study predicted scale-up by aspiration which is a predictor of scale-up behavior because it is difficult to achieve visible growth in a short period of time due to the characteristics of start-up companies. In order to empirically explore these relationships, the data were collected from nascent entrepreneurs who have less than 3.5 years of the Adult Population Survey(APS) among the subjects surveyed by the Global Entrepreneurship Monitor(GEM) and the national economic development stage are divided into Innovation-driven, Efficiency-driven, Factor-driven type economies. For the test hypotheses, this study adopted the multi-level model analysis for comparison between national economic development stages and using the R 3.5.0 program. The results of this study are as follows. There is difference between the national economic development and the entrepreneur in the relationship between innovation orientation of entrepreneurs and scale-up aspirations. As the economy of the country develops, the innovation activity of the entrepreneur becomes more active. Since start-ups are heavily influenced by entrepreneurs, there is a difference in the degree of aspiration depending on how innovative an entrepreneur is in the same environment. In terms of the relationship between innovation orientation and scale-up aspiration, the fear of failure was found to differ between national economic development and entrepreneurs. The fear of failure differ from country to country, and this is one of the important factors affecting entrepreneurial activities. It is expected that the factors influencing the growth of the start-up companies which are identified through the results of these studies, will be used to create a suitable scale-up ecosystem according to the national economic development stage.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.3
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• pp.344-353
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• 2007

Business incubators (BIs) could be regarded as an effective mechanism for linking research and industry to inspire technology and knowledge based entrepreneurship and innovation of start-up SMEs. The performance of BIs for small and medium enterprises (SMEs) innovation should be differentiated in accordance with the technology capacity of SMEs, the national entrepreneurial culture and characters in each economy. Therefore, the research intended to categorize BIs in the selected 10 APEC member economies into four types by investigating the issue of member economies' strategies, functions and characteristics in various focused programs.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.103-114
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• 2012

The study is analyzed that policy support impact on youth entrepreneurship and to purpose enhancing the effectiveness of the policy support, would like to empirical study on support performance by start-up support program through education level of the founder, performance of the establishment enterprises and an empirical study of start-up support. This study reported that start-up support should be different from impact of performance of support by young founder to participate in the success of entrepreneurship incubator package or preliminary young founders and is focused on study of policy support. Examines the literature of associated young founder's characteristics and entrepreneurship support policies at domestic and foreign, and the government's support policies in order to achieve the purpose of this study, survey research as the basis of the model was set. This study surveyed to university student which were trained nationwide entrepreneurship program in order to validate the research model. The survey targeted engineering students who is practical technology foundation possible during from June 1, 2012 to June. 15, 2012, the way of data collection was directly surveryed to engineering students who participated in the entrepreneurship program. and an empirical analysis were collected each 157 call.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.1-22
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• 2017

Analysis of future business or investment opportunities, such as business feasibility analysis and company or technology valuation, necessitate objective estimation on the relevant market and expected sales. While there are various ways to classify the estimation methods of these new sales or market size, they can be broadly divided into top-down and bottom-up approaches by benchmark references. Both methods, however, require a lot of resources and time. Therefore, we propose a data-based intelligent demand forecasting system to support evaluation of new business. This study focuses on analogical forecasting, one of the traditional quantitative forecasting methods, to develop sales forecasting intelligence systems for new businesses. Instead of simply estimating sales for a few years, we hereby propose a method of estimating the sales of new businesses by using the initial sales and the sales growth rate of similar companies. To demonstrate the appropriateness of this method, it is examined whether the sales performance of recently established companies in the same industry category in Korea can be utilized as a reference variable for the analogical forecasting. In this study, we examined whether the phenomenon of "mean reversion" was observed in the sales of start-up companies in order to identify errors in estimating sales of new businesses based on industry sales growth rate and whether the differences in business environment resulting from the different timing of business launch affects growth rate. We also conducted analyses of variance (ANOVA) and latent growth model (LGM) to identify differences in sales growth rates by industry category. Based on the results, we proposed industry-specific range and linear forecasting models. This study analyzed the sales of only 150,000 start-up companies in Korea in the last 10 years, and identified that the average growth rate of start-ups in Korea is higher than the industry average in the first few years, but it shortly shows the phenomenon of mean-reversion. In addition, although the start-up founding juncture affects the sales growth rate, it is not high significantly and the sales growth rate can be different according to the industry classification. Utilizing both this phenomenon and the performance of start-up companies in relevant industries, we have proposed two models of new business sales based on the sales growth rate. The method proposed in this study makes it possible to objectively and quickly estimate the sales of new business by industry, and it is expected to provide reference information to judge whether sales estimated by other methods (top-down/bottom-up approach) pass the bounds from ordinary cases in relevant industry. In particular, the results of this study can be practically used as useful reference information for business feasibility analysis or technical valuation for entering new business. When using the existing top-down method, it can be used to set the range of market size or market share. As well, when using the bottom-up method, the estimation period may be set in accordance of the mean reverting period information for the growth rate. The two models proposed in this study will enable rapid and objective sales estimation of new businesses, and are expected to improve the efficiency of business feasibility analysis and technology valuation process by developing intelligent information system. In academic perspectives, it is a very important discovery that the phenomenon of 'mean reversion' is found among start-up companies out of general small-and-medium enterprises (SMEs) as well as stable companies such as listed companies. In particular, there exists the significance of this study in that over the large-scale data the mean reverting phenomenon of the start-up firms' sales growth rate is different from that of the listed companies, and that there is a difference in each industry. If a linear model, which is useful for estimating the sales of a specific company, is highly likely to be utilized in practical aspects, it can be explained that the range model, which can be used for the estimation method of the sales of the unspecified firms, is highly likely to be used in political aspects. It implies that when analyzing the business activities and performance of a specific industry group or enterprise group there is political usability in that the range model enables to provide references and compare them by data based start-up sales forecasting system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.79-88
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• 2023

This research aims to validate the effectiveness of the "Specialized Entrepreneurship University Program," which was conducted as part of government entrepreneurship support initiatives from 2018 to 2022. Based on previous studies, a research model was derived consisting of three laboratory entrepreneurship support factors that influence program satisfaction and entrepreneurial outcomes (infrastructure support, educational mentoring support, and business linkage support). Surveys were collected and analyzed from 126 laboratory entrepreneurship firms participating in the program, and empirical analysis of the research model was conducted using SPSS 23.0 statistical software. The analysis results indicated that the three variables, namely infrastructure support, educational mentoring support, and business linkage support, were significant factors affecting program satisfaction, and program satisfaction was confirmed to influence entrepreneurial outcomes. Furthermore, it was found that the three business operation factors indirectly influenced entrepreneurial outcomes by partially mediating program satisfaction. This study is considered significant as an empirical study for the initial stage of the second-phase program enhancement, verifying the effectiveness of laboratory entrepreneurship support factors. The findings can be applied to similar government entrepreneurship support initiatives and contribute to the effective strategy and planning of stakeholders involved. The limitations of this study include the need for further research on the perception of the extent to which it contributes to entrepreneurial outcomes, emphasizing caution in interpreting the research model, and the necessity for expanding the survey population and improving survey items in future research.