• Journal of Platform Technology
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• v.11 no.4
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• pp.19-34
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• 2023

In order to identify the trends and insights of 'startups' in the global era, we conducted an in-depth trend analysis of the global startup ecosystem using Google Trends, a big data analysis platform. For the validity of the analysis, we verified the correlation between the keywords 'startup' and 'global' through BIGKinds. We also conducted a network analysis based on the data extracted using Google Trends to determine the frequency of searches for the keyword or term 'startup'. The results showed a strong positive linear relationship between the keywords, indicating a statistically significant correlation (correlation coefficient: +0.8906). When exploring global startup trends using Google Trends, we found a terribly similar linear pattern of increasing and decreasing interest in each country over time, as shown in Figure 4. In particular, startup interest was low in the range of 35 to 76 from mid-2020 due to the COVID-19 pandemic, but there was a noticeable upward trend in startup interest after March 2022. In addition, we found that the interest in startups in each country except South Korea is very similar, and the related topics are startup company, technology, investment, funding, and keyword search terms such as best startup, tech, business, invest, health, and fintech are highly correlated.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.89-104
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• 2021

Food delivery service combined with IT technology and HMR (Home Meal Replacement) are rapidly growing due to the COVID-19. Recently, the demand for salads along with HMR has increased among office workers in their 20s and 30s who are interested in health and beauty. Freshcode is a food startup with 6 years of experience that started selling salad products through O2O service. Freshcode applied for a patent for a service that collects orders from nearby areas and delivers them on the same day to a designated delivery address 'FCOSPOT' to save shipping costs. In March 2021, in recognition of the growth potential of the regular delivery service, Freshcode received an investment of 6 billion won in Series A. This study may have practical implications to early-stage startups and scale-up stage startups through a longitudinal case study on the growth of a single company. As for the research method, the lean startup methodology and lean canvas were used in the early stage of startup. In particular, the process of the build-measure and learn feedback-loop, which is the core of lean startup methodology, was applied to each major decision-making step. In the scale-up stage after 5 years, the business model canvas was used to schematize the growth as a food online O2O platform to verify continuous innovation. This case study has three main findings. First, the idea of 'FCOSPOT' was successfully implemented through the Lean Startup methodology. Second, Freshcode demonstrated the scalability of the differentiated business model of shared base delivery O2O. Third, a key factor of success was the digital integrated communication operation strategy that maximizes the experience for the created customers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.143-152
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• 2016

Mentoring program for startup is recognized as one of the most preferred alternative of helping would-be entrepreneur. In recent, this concessions leads the skyrocketed increase of mentoring program. However, lots of doubt falls on the effects of mentoring for startup. This paper is presenting Hanbat Innopolis program, which is evaluated the best practice case of mentoring ending up with seed investment for the last 5 years, including overview, structure, organization, and process. This program suggest the core elements of platform as fully involved mentor group joining with coach, functional experts in contingency, and operation group. It also require more problem solving based system approach as to operation, more qualified coach and problem solving process in mentoring system as to structure, delivering missions of defining problem of startup, setting milestones for its solution, and benchmarks in each phase as to process. This paper deliver the best practice case getting through the full process of Hanbat Innopolis Campus program, recognized ad the prototype of best mentoring program and on step forward, suggest the future direction of the effective mentoring program.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.3
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• pp.27-35
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• 2016

Ministry of Science, ICT and Future Planning have boosted up launching more 'GRI(Government Research Institute) Spin-off High-tech startup' to accelerate the technology commercialization of GRI technologies via the alternative of high-tech startup since 2101. This paper is proposing to found the global platform of accommodating more successful high-tech startup with diagnosing the current policy platform of launching GRI high-tech startup. This paper deliver the outcomes of case study including FGI research over developing the ideas of the experts for the policy line-up of starting from GRI technologies-Hardware Manufacture-BtoB-Global. The research result suggests that the focus of policy should falls not on the quantitative goals, but on more disruptive successful case through utilizing uprising private equity investment in the early stage of business. One of the best policy brought by this research is 'Inbound Globalization Strategy of bringing global early stage investors in Korea for incubation and investment rather than sending out our startup to global without validation by global investor.

• The Journal of Bigdata
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• v.3 no.1
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• pp.83-94
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• 2018

The purpose of this study is to investigate how startup companies with the UGC platform service model can traverse the death valley for the company's survival with limited resources and create a mutually beneficial market. To do this, an interview-based exploratory study was conducted to analyze the cause and effect of each factor on the initial activation strategy of the UGC platform. For many start-up companies, this research helps minimize errors in strategic trial and error.

• Journal of Fashion Business
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• v.27 no.1
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• pp.1-15
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• 2023

This study divided articles into two time periods, from 2012 to 2022, with the aim of using big data analysis to look at patterns in the ecosystem of fashion start-ups. The research method extracted top keywords based on TF(Term Frequency) and TF-IDF(Term Frequency-Inverse Document Frequency), analyzed the network, and derived centrality values. As a result of comparing the first and second fashion startup ecosystems, elements of policy, support, market, finance, and human capital were derived in the first period. In addition, in the second period, elements of policy, support, market, finance, and culture were derived. In the first period, the fashion startup ecosystem focused on fostering new designer startups by emphasizing support, finance, and human capital factors and focusing on policies. Meanwhile, in the second period, online-based fashion platform startups and fashion tech startups appeared with the support of digital transformation and fulfillment services triggered by COVID-19(Corona Virus Disease 19), private finances were emphasized, and cultural factors were derived along with success stories of fashion startups. This study is meaningful in that it helps in developing strategies for fashion startups to grow into sustainable companies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.109-124
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• 2024

The value of platform companies is rapidly increasing, exerting significant influence across industries. Identifying and fostering promising platform companies is crucial for enhancing national competitiveness. Consequently, tailored evaluation standards are necessary for such companies. This study derived investment decision factors specific to platform companies and compared the importance of each factor using Analytic Hierarchy Process (AHP) analysis. Key factors included platform characteristics, finance, entrepreneur (team), market, and product/service attributes. The findings revealed that platform characteristics were deemed the most crucial factor for investors. Specifically, factors such as platform size, ease of value fixation, core participant group, and data value were identified as pertinent for evaluating platform companies. Moreover, analysis distinguished between investors with prior platform investment experience and those without. Significantly, investors with platform investment experience placed greater emphasis on the value of data secured by platform Furthermore, it was observed that investors prioritized future value and growth potential over current value when investing in platform. Notably, founder/team characteristics, typically highly regarded in previous studies, ranked lower in importance in this study, highlighting a shift in focus. The discrepancy between this study's results and prior research on investment decision factors is attributed to the specificity of the questions posed. By focusing on investment decision factors for platform startups rather than generic startup inquiries, investor responses aligned more closely with platform-focused considerations. Given the burgeoning venture investment landscape, there's a growing need for detailed research on startups within specific sectors like IT, travel, and biotech. This approach can replace extensive research covering all startup types to identify investment decision factors suited to the characteristics of each individual industry.

• The Journal of Industrial Distribution & Business
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• v.10 no.12
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• pp.43-55
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• 2019

Purpose : With the proliferation of O2O platform services that combine offline and online services, many startups are fiercely competing to lead services in the O2O service market. While the prospects for growth in the O2O service market are optimistic because of the close convenience to life, startups can achieve corporate performance only through close cooperation and partnership with suppliers. The purpose of this study is to verify the effect of O2O-based startups' and suppliers' cooperation in supply chain management on SCM performance through supply chain partnerships and startup satisfaction with suppliers. Research design, data, methodology : Data were collected from O2O service-based startups and hypotheses were verified through frequency analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, feasibility analysis, and structural equation path analysis. In addition, the mediating effects of supply chain partnerships and startup satisfaction on suppliers were verified. Results : As a result of this study, IT utilization of the O2O startup cooperation method affects the financial perspective of supply chain partnership and SCM performance. The contract implementation of the cooperation method had an impact on the financial and innovation growth perspectives of the SCM performance, and the communication of the cooperation method had an effect on the supply chain partnership, startup satisfaction in the supply chain, and the innovation growth perspective of the SCM performance. Supply chain partnerships had an impact on the financial, innovation growth, and customer perspectives of SCM performance and startup satisfaction within the supply chain had a significant effect on innovation growth and customer perspectives. Conclusions : The implications of this study identified the factors that can improve SCM performance through the cooperation method of O2O startup, supply chain partnership and startup satisfaction with suppliers, and it is significant that the causal relationship was identified by the structural model through the supply chain cooperation factors derived by characteristics. Based on the empirical results, as the services of O2O startups grow, it is expected that empirical research and practical activation of academia should be considered as important in the cooperation of the supply chain.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.120-128
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• 2017

More people travel oversea as the economic size of Korea is getting larger and more new jobs are requested to be created by the society. To respond to these trend and request, Incheon International Airport Corporation (IIAC) is about to expand its processing capability with a new terminal; 54 million passengers to 72 million. IIAC is also introducing new strategies such as open innovation (OI) and creating shared value (CSV). With these changes, IIAC faces new challenges of restructuring its business and organization with new ideas. Most organizations including IIAC are becoming more dependent on external resources to keep their competitive advantages under the turbulence of global business environmental changes. Therefore, they focus on the OI paradigm which is reported as a convincing strategy to improve competitiveness in terms of budget and time-to-market. OI is to quickly react to the rapidly changing business environment and is adopted to support startup incubation. In the previous research with IIAC, three major tasks were defined; utilizing the IIAC brand power for external vendors, building a technology road-map, and introducing a collaboration support system. This paper deals with the collaboration system as proposed in the previous research. We focused on the collaboration process for startup incubation. Cases were studied; the K-startup model by the government, a university model to explore youth startups, and a R&D institute model to study professional startups. Based on the case studies, we defined an IIAC model and proposed issues to take care of. The model is distinguished from the other studied models since IIAC is a prospective customer of new technology.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.81-93
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• 2023

Under the digital economy, companies are facing a new business environment. Previous studies with a traditional perspectives on start-ups explained they are at a disadvantaged compared to large companies in mobilizing resources and building new relationships. However, recent researches on the digital economy and platform ecosystems have suggested that digital platforms can be an efficient means of overcoming the liabilities of smallness and newness for start-up companies. Through platforms start-ups can secure routes to mobilize resources, collect and analyze market information. Especially as various platorms are established within categorized industry or market, unique characteristics and market awareness regarding an individual startup company have been formed. Accordingly there is also an advantage that startup companies have umbrella effect by participating in the platform. From this point of view, this study describes the process by which a start-up company effectively utilizes a platform to overcome the liabilities of newness and smallness through the case the study of 'Genie the Bottle'. The results suggest that platforms play a crucial role for start-ups to secure awareness and legitimacy and grow the market in the beauty industry in which high consumer involvement is dominant.