• The Journal of Industrial Distribution & Business
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• v.8 no.5
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• pp.23-33
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• 2017

Purpose - The present study aims to examine the relationship between small enterprise start-up preparatory factors and increases in sales and operating profits, which are business performances utilizing the National Survey of Actual Conditions of Small Enterprises conducted by the Small Enterprise, Market Service. Research design, data, and methodology - Start-up preparatory factors were divided into six types; business type, start-up history, start-up motives, preparatory periods, and start-up funds to figure out the relationship between sales and operating profits with regression analyses. Regression analyses were conducted based on the foregoing with a view to identifying the effects of start-up preparatory factors on business performance. Results - Since start-up preparatory factors generally affect business performance, it was identified that start-up preparatory factors importantly affect operating profits and sales, which are business performances. However, start-up preparatory periods and the implementation of education among preparatory activities were shown to have no effect on business performances, and the effect of the ratio of start-up fund provided by the founder on operating profits was shown to be not significant. Conclusions - The present study comprehensively examined those start-up preparatory factors that have positive effects on business performances after start-up. The present study is meaningful in that it can provide positive implications for efficient start-up of small enterprises hereafter.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.361-370
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• 2022

This paper suggested a plan to increase the start-up survival rate by identifying independent variables that significantly affect start-up success through analysis of the founder's internal and external factors. As a result of this study, it was found that internal factors (financial ability, risk sensitivity) and external factors (start-up environment, start-up support policy) had a direct positive (+) effect on start-up success. Meanwhile, self-efficacy for business models partially mediated the relationship between factors(financing ability, risk sensitivity, start-up environment and start-up support policies) and start-up success. Self-efficacy for business models fully mediated the relationship between factors(start-up expertise and challenge spirit) and start-up success. Finally, trust in business models partially mediated the relationship between factors(start-up expertise, risk sensitivity, and start-up support policies) and start-up success. And the trust in business models fully mediated the factors(the spirit of challenge, start-up environment) and start-up success.

• Journal of Korea Technology Innovation Society
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• v.6 no.1
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• pp.60-73
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• 2003

There are many studies on spin-offs from college, but there is little concern on start-ups, which are set up by college and operated by professors. We call this type of start-up as college start-up. We check the problems and solutions of this type of start-ups. We propose three factors for success; prior checking of profitability of the business, preparation of relevant school policies and profit sharing with school and professors participated.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.119-137
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• 2018

Recently, the start-up firms have been under the spotlight because they can create many jobs and are regarded as the growth engine of a country in the fourth industrial revolution. Moreover, after the global financial debacle, many countries emphasize on an entrepreneurial spirit and venture firms. they also pay attention to the importance of educations to promote the start-up firms. In this work, based on technology acceptance model, we try to identify the main factors of accepting online start-up education system. We first defined this system as the online start-up education system which refers to a system to support learning for knowledge, experiences and overall process of start-up firms' tasks. This system also simulates tasks related with prep-entrepreneur so that can be regarded as a kind of decision support systems. As this system has some characteristics, we confirmed some factors of extended technology acceptance model. In our experiments, we find that the perceived ease of use and trust are main factors of acceptance for the online start-up education systems. These results mean that the system should be made to be easy and trustful for their users. Therefore, we expect that this work will be helpful to researchers and developers who consider start-up education systems and provide a way to activate founding start-up firms.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.809-817
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• 2021

The worldwide spread of the COVID-19 pandemic has had a severe impact on the global economy. The COVID-19 pandemic has spread with alarming speed and. The economic damage is already evident and represents the largest economic shock the world has experienced in decades. This study analyzes the factors that influence behavior and its impact on start-up performance, through technology capabilities, technology development, organizational structure characteristics, and leadership technology. The mixed-method was used in this research to be applied to start-up companies in Jabodetabek with a population of 522 start-ups. Then the sample was selected through purposive sampling technique to obtain a sample of 187 start-ups. Primary data was collected through a questionnaire, then statistical analysis was carried out using Partial Least Square. There are ten variables used in the model as measured by the questionnaire. The results showed that the four factors (agility, entrepreneurship capability, business transformation, and opportunity) significantly influence start-up behavior. The results showed that the start-up behavior significantly influenced technology capabilities, technology development, organizational structure characteristics, and leadership technology. This study also found that start-up behavior had the greatest influence on organizational structure characteristics, partially affect start-up performance, but leadership technology does not have a significant effect on start-up performance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.33-41
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• 2014

This study aimed to verify those start-up mentoring educational factors in this society where any systematic and practical start-up educational contents as well as experts in the start-up education are being asked for in order to meet the demand for the start-up. Not only to build up a theoretical foundation for how to make the best use of the start-up mentoring education as in the start-up educational programs but also to understand any possibilities of that education, the study divided the start-up mentoring educational factors into features of the start-up mentoring educational contents, a start-up mentoring educational system and an ability of a mentor in charge of start-up mentoring education as independent variables, and regarding the satisfaction with the start-up education and the start-up intention, the study determined them as dependent variables. The study, then, designed a research model and formulated hypotheses. In order to verify those hypotheses, the study conducted an empirical analysis on those who have finished the start-up educational course in JST, Incheon, which has been actively engaging in the start-up mentoring education. According to the results from the empirical analysis, first, of all the start-up mentoring educational factors, the features of the contents and the mentor's ability were observed to improve the satisfaction with the education as the features of the start-up mentoring educational contents and the system appeared to have a positive influence on the start-up intention.

• Asian Journal of Innovation and Policy
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• v.3 no.2
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• pp.216-244
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• 2014

This paper empirically establishes the role played by the ecosystem related parameters in the emergence and growth of high technology start-up clusters in India. It is mainly based on secondary data from six major start-up hubs in India during the period 2005-2013. Our results throw up several interesting findings. First of all, we find that traditional infrastructure related factors or robust macroeconomic situation in general are not the most important drivers. What really seem to matter are the specific start-up ecosystem related factors - such as the Internet penetration, volume of deal flow, availability of VC funding and a pre-existing critical mass of relevant high technology businesses and skill-sets. Above all, our study points out that high economic growth alone will not automatically lead to spillovers in the form of a vibrant start-up ecosystem. Rather it has to be a product of conscious and concerted policy efforts at all levels that directly address the main challenges faced by the early-stage start-ups.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.13-20
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• 2014

This study drew a conclusion about the current situation and the trend of start-up in Korea by understanding the convenience of start-up and startup outcome(business satisfaction and income after startup) by year, and by analyzing the trend of the convenience of start-up by each detail items and by industry. In addition to, the key factors of successful business start-up are demonstrated by synthetically examining how the factors influence the outcome of startup, including human capital, business characteristics, economic feature, and situational/institutional characteristics, as well as demographic characteristics. According to the result, business satisfaction after startup by year and business income have gradually increased from 2005, but the convenience of start-up has constantly decreased. Based on the industry, the convenience of start-up shows a statistical significance. Lastly, the factors that influence the outcome of business start-up are complexly turned up as human capital, business characteristics, economic feature, and situational/institutional characteristics, as well as demographic characteristics.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.52-57
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• 2023

In the restaurant industry, along with the fourth industry, there is a food technology craze due to IT development. In addition, many prospective restaurant founders are increasing due to restaurant start-ups with relatively low entry barriers. And ChatGPT is causing a craze for chatbots. Therefore, the purpose of this paper is to analyze factors for restaurant start-ups with big data and implement a system to make it easier for prospective restaurant start-ups to recommend restaurant start-ups that suit them and further increase the success rate for restaurant start-ups. Therefore, this paper is meaningful in analyzing the start-up factors desired by prospective restaurant founders with big data, turning them into text, and furthermore, designing and studying the start-up factors shown as big data into a restaurant start-up chatbot system.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.141-158
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• 2023

From the perspective of an entrepreneur, one of the most important factors for understanding the inherent limitations of a startup, reducing the risk of failure, and succeeding is the composition of the talent, that is, the founding team. Therefore, a common concern experienced by entrepreneurs in the pre-entrepreneurship stage or the early stage of startup is the choice between independent startups and co-founding start-up. Nonetheless, in Korea, the share of independent entrepreneurship is significantly higher than that of co-founding start-up. On the other hand, focusing on the fact that many successful global innovative companies are in the form of co-founding start-up, the success factors of co-founding start-up were examined. Most of the related preceding studies are studies that identify the capabilities and characteristics of individual entrepreneurs as factors influencing the survival and success of entrepreneurship, and there is a lack of research on partnerships, that is, co-founding start-up, which are common in the field of entrepreneurship ecosystems. Therefore, this study attempted a multi-case study through in-depth interviews, collection of relevant data, analysis of contextual information, and consideration of previous studies targeting co-founders of domestic startups that succeeded in opportunistic startups. Through this, a model for deriving the phased characteristics and key success factors of co-founding start-up was proposed. As a result of the study, the key element of the preliminary start-up stage was 'opportunity', and the success factors were 'opportunity recognition through entrepreneur's experience' and 'idea development'. The key element in the early stages of start-up is "start-up team," and the success factor is "trust and complement of start-up team," and synergy is shown when "diversity and homogeneity of start-up team" are harmonized. In addition, conflicts between co-founders may occur in the early stages of start-ups, which has a large impact on the survival of start-ups. The conflict between the start-up team could be overcome through constant "mutual understanding and respect through communication" and "clear division of work and role sharing." It was confirmed that the core element of the start-up growth stage was 'resources', and 'securing excellent talent' and 'raising external funds' were important factors for success. These results are expected to overcome the limitations of start-up companies, such as limited resources, lack of experience, and risk of failure, in entrepreneurship studies, and prospective entrepreneurs preparing for a start-up in a situation where the form of co-founding start-up is attracting attention as one of the alternatives to increase the success rate. It has implications for various stakeholders in the entrepreneurial ecosystem.