Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.15
no.1
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pp.31-44
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2020
Accelerators that invest in early startups, as well as nursery and overall management, have recently emerged as "key players" in the startup ecosystem. This can be proved by the case where the number of domestic accelerators registered in the Korean Ministry of SMEs and Startups has recently reached 208. Accelerators provide the necessary education for early-stage companies, including guidance for a certain period of time, and support startups in ways such as demo days to attract subsequent investment after the seed investment. There is not much research in academia about what factors impact on these accelerators when making investment decisions at the time of seed investment. In this study, we checked the meaning and function of the accelerator and tried to analyze what factors affect on accelerators when making a decision to invest in startups. The research method is based on a literature survey of previous studies on investment decision-making factors of venture capital and angel investors, and a lens model and judgment analysis method through empirical research targeting 43 accelerator investment decision-makers. Empirical analysis shows that accelerators have three of the key factors to consider when choosing the first startup to invest and educate; entrepreneurs' entrepreneurial traits, their product and service expertise and a potential return on success. This will provide an opportunity for early startups to gain strategic access to accelerators when they need money or need a structured educational program. Also, the results obtained through this research will be a kind of guideline for startups to attract accelerators' investment. The significance of this study is that discriminatory evidence was presented on the accelerator determinants of investment, and it would be highly suggestive to startups and related public institutions.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.13
no.2
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pp.39-50
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2018
A main purpose of this research is to identify success factors of start-up based on the AER case study. As a result of case analysis, In the early stage, the success factors of start-up are the entrepreneur's history, experience, expertise, prompt judgment, problem-solving ability, the capacity and teamwork of its members, business networks and supporting government start-ups. In the commercialization stage, securing commercialization and investment funds, timing, differentiation strategy, overseas advancement, and acceptance of customer feedback are important. In the growth stage (maturity stage), new product launches and diversification, and establishment of organizational culture are important. Based on the results of this analysis, this study sought success factors and implications for each stage and sought research directions in the future.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.11
no.3
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pp.233-242
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2016
Startup must be agile and be able to handle extreme changes, survive unpredicted threats, and capitalize on emerging business opportunities. Agile teams continually sense changes for competitive action and marshal the necessary knowledge. While team members share their knowledge, there must be emerging various type of conflicts in teams. This study examines the relationship among the conflict, knowledge sharing and agility in startup context. At the same time, we tested the roles of shard vision both moderating variable between conflict and knowledge sharing, and antecedent for knowledge sharing. Different two types of conflict, task conflict and relationship conflict, knowledge sharing, agility, and different impact of shared vision are identified from literatures and tested. 182 data points were collected from under 5-year old startup's representatives to test these hypotheses. PLS data analysis indicated that the task conflict and shard vision positively effect on knowledge sharing, and then knowledge sharing has statistically significant effect on agility. And the impact of conlict has been weakened by shared vision's moderating effect. Based on the results, we proposed practically several team management skills for startup managers, leaders and stakeholder, and explained theoretical contributions.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.15
no.5
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pp.13-35
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2020
Startup accelerators are a new type of investors providing a certain amount of shares for imparting education, mentoring, networking, and providing space and seed money that can directly resolve the difficulties faced by nascent entrepreneurs (Clarysse, 2016). Startup accelerators have expanded worldwide as their influence over the startup ecosystem has increasingly been established (Pauwels et al., 2016; Cohen & Hochberg, 2014). This study was conducted to derive investment determinants of startup accelerators that are emerging as major investment players around the world. To this end, the accelerator-type determinants of investment were derived. As previous research on this topic is nonexistent, this process involved qualitative meta-synthesis, literature reviews, observation, and in-depth interviews. First, more than 30 research papers were examined for the determinants of investment for firms at an early stage of their foundation, and the categories and determinants of investment in the relevant studies were comparatively analyzed using qualitative meta-synthesis. Further, related data were investigated to identify the characteristics of accelerators, and the startup evaluation process of US accelerators was studied. The more than 100 questions raised during this process were coded to examine the determinants of investment that accelerators considered important. In-depth interviews were conducted with four US accelerators to identify the characteristics of accelerators and key determinants of investment. Ultimately, 5 categories of accelerator-type determinants of investment and 26 subordinate determinants of investment were derived. The results were verified and supplemented by consulting with seven accelerators in Korea. The results were confirmed after pilot tests and verification by seven domestic accelerators. After confirming the accelerator-type determinants, the reliability of them was verified by examining the importance and priority of each category through the quantitative survey of Korean accelerators. The research that elicited the accelerator-type investment determinants is the first research and is expected to be a major reference to the progress of subsequent studies. This research that systematically derived the investment determinants of the accelerator is expected to make major contributions to the progress of follow-up studies, the process of selecting startups, and the investment decision-making process of the accelerators.
This study aims at examining the effect of strategic orientation on IT startup performance and analyzing the mediating effect of network in the relationship. The study was conducted on the three dimensions that make up strategic orientation: technological orientation, customer orientation, competitive orientation on firm performance, and the understanding of the role of the network. Empirical research on 94 IT startups as residents of startup support institutions was conducted. The suitability of the research model was evaluated with PLS-SEM. As a result of the empirical analysis, customer orientation and competitive orientation was verified to have a positive effect on network, while Technological orientation was confirmed to have no positive effect. and network mediated the relationship between customer orientation and competitive orientation, while Technological orientation was confirmed to have no positive effect. The results of this study provide startup practitioners with strategic direction and the importance of network establishment and utilization.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.12
no.1
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pp.1-13
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2017
The purpose of this study is to find out which factors determine the success of start-up in the initial market and what are the most important determinants. For the empirical analysis, the questionnaire related to the analysis of success factors for start-up success was designed according to the quantitative analysis (AHP technique). First, we selected 8 representative success factors for successful start-up in the initial market. In order to determine the degree of priority among these factors, we surveyed 12 entrepreneurs who are interested in entrepreneurship, universities, research institutes, and public officials. As a result of the empirical analysis, 51% of the funds in the tier 1 were ranked as the top priority to determine success factors. Followed by research and development (32.5%), management (8.7%) and marketing (7.8%). In particular, when each of the four items is calculated as 100 according to the result of the tier 1, and the tier 2 is converted, the foreign investment is analyzed as 43.7%. It was followed by 15.14% of R & D facilities, 14.07% of ideas, 8.7% of managerial ability, 7.29% of domestic investment, 5.85% of buyer feedback, 3.3% of development strategy and 1.95% of marketing strategy. Among the eight success factors, overseas investment items showed the closest preference to half, and it was the most important variable that determines the success or failure of market entry. The implication of this study is that many start-ups in Korea expect to receive investment and support from overseas accelerators. This means that overseas investment itself has been recognized as a start-up that makes services and products that can be used in the global market. A high preference for attracting foreign investment is due to the fact that the amount of investment is larger than that of Korea and that it can flexibly cope with the pressure on the performance compared to domestic investors. In this study, it was meaningful that we could confirm this fact through questionnaires of start-up experts. In future research, we need to find a viable alternative through studying how to provide start-up to foreign direct investment at the national level.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.14
no.6
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pp.11-27
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2019
The second venture "boom" diffusion strategy can be confirmed to be focused only on financing investment and finance, including achieving 5 trillion won annually in new venture investments, creating 20 unicorns, activating M&As and creating dynamic recovery markets. Of course, existing studies show that the fund is a very important policy for corporate growth, but various policy support will be needed to effectively scale up. To overcome these limitations, the scale-up support policies already in operation are analyzed by introducing scale-up policies in advanced countries such as the U.S. and Britain. It also aims to analyze domestic scale-up policies to draw up implications for establishing more effective scale-up policies. Academically, we are very lacking in research on scale-up at home and abroad, and we propose suggestions through this comparative study of policy cases to contribute to the promotion of various studies related to the scalability aspects of future research topics related to scale-up.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.15
no.2
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pp.183-192
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2020
This study conducted an exploratory study to derive the success factors of entrepreneurial marketing for startups. Through Delphi analysis, we derived the items of proactive orientation, risk management, innovation, opportunity driven, resource leveraging, customer intensity, value creation, price setting, marketing communication, channel management, product development, sales and marketing information management. The importance and execution of success factors were measured through IPA analysis. The first quadrant(keep up the good work) has proactive orientation, risk management, resource leveraging, customer intensity. The second quadrant(concentrate here) has innovation. The third quadrant(low priority) has channel management, sales, marketing information management. The fourth quadrant(possible overkill) has prices setting, product development. These results showed that the success factors of startup's entrepreneurial marketing were proactive orientation, risk management, innovation, opportunity driven, resource leveraging, customer intensity and value creation.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.11
no.5
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pp.129-139
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2016
In this study, we analyzed the effect of entrepreneurial spirit of the start-up real estate founder gives to management achievements, founding education and it was confirmed whether they have a regulatory effect between them. For this reason, we conducted a questionnaire survey of real estate founder of start-up, were analyzed using the SPSS 18.ok. To summarize the research results are as follows. First of all, prefer achieve desire and venture start-up founder, it has become a direction of a significant and positive and management achievements of the dependent variable (+). This can be seen to affect the establishment go management achievements prefer to achieve desire is higher or of the venture. Second, the satisfaction of the business with the contents of the management achievements, may be mentioned whether the business recommendation, factors of these management achievements, each of the major contents of the management outcomes can be seen as an impact to some extent. While factors of independent variables were clearly private that there is a difference on the basis of its founding education as an adjustment variable in relation to the impact on business performance, some the only adjustment variables, such as whether to recommend satisfaction and business of business it was confirmed that shown. In this study, which provide us with the knowledge of information that can be derived to provide the basic information of implementation and policy-making that it is possible to promote the success activation of the start-up real estate in the successful establishment and operation of the business It is expected.
This study aims to converge the analysis of institution based view and knowledge based perspectives. Based on the literature review, this study proposed six hypotheses including the moderating effect of institutional characteristics. Hypothesis testing was conducted using PLS(Partial Least Square), which is a structural equation model for 101 start-ups sample. In empirical analysis, all external knowledge characteristics have a positive effect on the knowledge codification capacity. It also positively influenced the performance. The institutional characteristics showed a moderating effects with the novelty of external knowledge and knowledge codification capacity. This study contributes to integrating and analyzing the moderating effects of institution based characteristics with the factor of knowledge based view. Future research needs to analyze the institutional characteristics in a formal and informal way.
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