• Journal of Distribution Science
• /
• v.21 no.2
• /
• pp.35-43
• /
• 2023

Purpose: As Thailand seeks to become a regional startup hub, Thai startups have been acquiring growth and scalability in the last ten years. Hence, this paper examines influential factors in Thailand's growth of logistics tech startups. The conceptual framework incorporates sensing user needs, sensing technological options, conceptualizing, scaling, and stretching, co-producing, and orchestrating, business strategy, strategic flexibility, and startup growth. Research design, data, and methodology: The quantitative method was applied to distribute the questionnaire to 500 managers and above in logistics tech startups in Thailand. The sampling techniques involve judgmental, convenience, and snowball samplings. Before the data collection, The Item Objective Congruence (IOC) Index and pilot test (n=45) were employed for content validity and reliability. The data were mainly analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The findings revealed that sensing technological options, scaling, and stretching, co-producing, and orchestrating, and business strategy significantly influence the growth of startups in Thailand. Nevertheless, sensing user needs, conceptualizing, and strategic flexibility have no significant relationship with startup growth. Conclusions: For Thailand to accelerate its digital economy driven by tech startups, firms must emphasize influential factors to accelerate growth by providing the right tech solutions for people's lives.

• Asian Journal of Innovation and Policy
• /
• v.7 no.1
• /
• pp.55-78
• /
• 2018

This paper investigates the linkage between the mode of transformation of entrepreneurial learning into outcomes and the subsequent impact of these learning outcomes in enhancing the survival of high-tech startups in India. The study uses data from 45 high-tech startups headquartered across different locations in India for the purpose of analysis. Survival Analysis of the data is conducted to determine which mode of learning transformation and what type of en trepreneurial decision making preference have a significant influence on the survival of Indian high-tech startups and to what extent do they impact their survival. The results indicate that entrepreneur's prior startup experience, explorative mode of learning transformation, causal decision making of the entrepreneur and availability of funding for the startup as the key factors that reduce the time to survival of Indian high-tech startups. They also provide key insights on how these factors impact the startup survival in this region.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.19 no.2
• /
• pp.63-79
• /
• 2024

The startup ecosystem is experiencing a paradigm shift in founding due to the acceleration of digital transformation, online platform companies have grown significantly into unicorns, but the lack of differentiated approaches and strategic support for deep tech startups has led to the inactivity of the startup ecosystem. is lacking. Therefore, in this study, we proposed ways to develop domestic startup development policies, focusing on the US system, which is an advanced example overseas. Focusing on the definition and characteristics of deep tech startups, current investment status, success stories, support policies, etc., we comprehensively analyzed domestic and international literature and derived suggestions. In particular, he proposed specific ways to improve support policies for domestic deep tech startups and presented milestones for their development. Currently, the United States is significantly strengthening the role of the government in supporting deep tech startups. The US government provides direct financial support to deep tech startups, including detergent support and infrastructure support. It has also established policies to foster deep tech startups, established related institutions, and systematized support. It is worth noting that US universities play a core role in nurturing deep tech startups. Leading universities in the United States operate deep tech startup discovery and development programs, providing research and development infrastructure and technology. It also works with companies to provide co-investment and commercialization support for deep tech startups. As a result, the growth of domestic deep tech startups requires the cooperation of diverse entities such as the government, universities, companies, and private investors. The government should strengthen policy support, and universities and businesses should work together to support R&D and commercialization capabilities. Furthermore, private investors must stimulate investment in deep tech startups. Through such efforts, deep tech startups are expected to grow and Korea's innovation ecosystem will be revitalized.

• 한국벤처창업학회:학술대회논문집
• /
• 2022.04a
• /
• pp.25-30
• /
• 2022

Despite the importance of partnership for commercialization of innovations in startups, it is not easy for startups to persuade an established firm to collaborate on a completely novel idea. If information transfer about the innovations is too costly, startups may avoid pursuing radically new projects. Our paper examines the impact of policy signals on the novelty of the innovations pursued by startups. In the context of the Orphan Drug Act(ODA), we find that startups develop more radical therapies when policy signals help them to convince potential partners of the value of prospective therapies. While the likelihood of partnership increases, the timing of partnership is delayed in ODA-affected fields.

• World Technopolis Review
• /
• v.7 no.2
• /
• pp.82-96
• /
• 2018

This paper discussed the application process of the Dot Idea program. The Dot Idea program is an incubation and open innovation program co-created by Unitec, an incubator at Tecnosinos Tech Park, and an SAP innovation team. The main objective of this study was to cover an existing gap in the literature regarding the practical application of an open innovation methodology. Many companies seek interaction with external parties to enable advancement toward identified innovation opportunities. Technology clusters, parks, and incubators have played an important role in promoting connections and interaction. Consequently, the Dot Idea program emerged as a result of a joint effort to create a program using a design science research methodology aiming to foster new businesses and strengthen Brazil and Latin America as a hub to develop new solutions for traditional organizations. In regards to lessons learned, the Dot.health trial had some success but also experienced difficulties; these related to the relationships between startups and a hospital's internal teams, and startups' needs to be funded from the beginning in order to be fully dedicated to a project.

• International Journal of Computer Science & Network Security
• /
• v.23 no.9
• /
• pp.177-185
• /
• 2023

The global FinTech industry has experienced significant growth, with key projects developing the financial sector. In Saudi Arabia, startups have used technology to offer FinTech services. In this area, it is important to investigate the usability of platforms that offer FinTech services. This research aims to examine the usability of samples of Saudi FinTech websites and identify design issues impacting user experience. Usability testing was conducted on the websites of two FinTech firms identified design issues, including navigation problems on the homepage and a lack of transparency in displaying investment details, negatively impacting end users. Employing usability methods can assist in enhancing the development of FinTech platforms and addressing these issues. This study contributes to a deeper understanding of FinTech usability problems and the user experience, enabling advancements in the industry.

• Journal of Fashion Business
• /
• v.27 no.1
• /
• pp.1-15
• /
• 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
• /
• v.11 no.3
• /
• pp.27-35
• /
• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.2
• /
• pp.127-135
• /
• 2020

The purpose of this paper is to classify individual startups by growth stage based on data-based quantitative criteria. This is to provide a basis for systematic support for government startups based on accurate statistics on the startup growth process. This startups were the TIPS (Tech Incubator Program for Startup) support company, which used a relatively reliable startup. We found seed money to complete MVP (Minimum Viable Product) within 1.5 years after establishment, verified PMF (Product-Market Fit) within 1 year, attracted Series A investment within 2.5 years after establishment, and successfully commercialized it. It attracted Series B investment for stable growth within 1.5 years (Series B investment within 4 years from start-up). The results of the study, the division of government programs that support stage-based startup commercialization, that is, within three years and within seven years of establishment, is significant to date. Three directions are suggested for future research. First, develop indicators for monitoring startup growth stages. Second, it continuously updates the annual changes and tracks the growth stages of individual startups. Third, we discover the successful growth law of technology-based startups by applying in-depth case analysis of successful startups to the model.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.16 no.3
• /
• pp.13-29
• /
• 2021

The purpose of this study was to analyze the spatial distribution and location factors of startups by generation (young and middle-aged) in Seoul. To this end, a research model was established that included factors of industry, population, and startup institutions by generation in 424 administrative districts using the Seoul Business Enterprise Survey(2018), which includes data on the age group of entrepreneurs. As an analysis method, descriptive statistics were conducted to confirm the frequency, average and standard deviation of startups by generation and major variables in the administrative districts of Seoul, and spatial distribution and characteristics of startups by generation were analyzed through global and local spatial autocorrelation analysis. In particular, the spatial distribution of startups in Seoul was confirmed in-depth by categorizing and analyzing startups by major industries. Afterwards, an appropriate spatial regression analysis model was selected through the Lagrange test, and based on this, the location factors affecting startups by generation were analyzed. The main results derived from the research results are as follows. First, there was a significant difference in the spatial distribution of young and middle-aged startups. The young people started to startups in the belt-shaped area that connects Seocho·Gangnam-Yongsan-Mapo-Gangseo, while middle-aged people were relatively active in the southeastern region represented by Seocho, Gangnam, Songpa, and Gangdong. Second, startups by generation in Seoul showed various spatial distributions according to the type of business. In the knowledge high-tech industries(ICT, professional services) in common, Seocho, Gangnam, Mapo, Guro, and Geumcheon were the centers, and the manufacturing industry was focused on existing clusters. On the other hand, in the case of the life service industry, young people were active in startups near universities and cultural centers, while middle-aged people were concentrated on new towns. Third, there was a difference in factors that influenced the startup location of each generation in Seoul. For young people, high-tech industries, universities, cultural capital, and densely populated areas were significant factors for startup, and for middle-aged people, professional service areas, low average age, and the level of concentration of start-up support institutions had a significant influence on startup. Also, these location factors had different influences for each industry. The implications suggested through the study are as follows. First, it is necessary to support systematic startups considering the characteristics of each region, industry, and generation in Seoul. As there are significant differences in startup regions and industries by generation, it is necessary to strengthen a customized startup support system that takes into account these regional and industrial characteristics. Second, in terms of research methods, a follow-up study is needed that comprehensively considers culture and finance at the large districts(Gu) level through data accumulation.