Innovation Patterns of Machine Learning and a Birth of Niche:Focusing on Startup Cases in the Republic of Korea

Songhee Kang, Sungmin Jin, Pill Ho Pack

Abstract


As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub- industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment. 


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References


Alsheibani, S., Cheung, Y., and Messom, C., “Artificial Intelligence Adoption: AI- readiness at Firm-Level,” In PACIS, pp. 37, 2018.

CB Insights, “AI 100: The Artificial Intelligence Startups Redefining Industries,” 2020.

CB Insights, “AI 100: The Artificial Intelligence Startups Redefining Industries,” 2021.

Geels, F. W., “Processes and Patterns in Transitions and System Innovations: Refining the Co-evolutionary Multi-level Perspective,” Technological Forecasting and Social Change, Vol. 72, No. 6, pp. 681-696, 2005.

Geels, F. W., “The Multi-level Perspective on Sustainability Transitions: Responses to Seven Criticisms,” Environmental Innovation and Societal Transitions, Vol. 1, No. 1, pp. 24-40, 2011.

James, C., Devaux, M., and Sassi, F., Health and inclusive growth (Vol. 103), OECD Health Working Papers, 2017.

Jung, J. and Lee, C.-M., “Analysis of C2C Internet Fraud and Its Counter Measures,” The Journal of Society for e-Business Studies, Vol. 20, No. 2, pp. 141-153, 2015.

Kang, S. H., “Artifical Intelligence Innovation Characteristics and Korean Startup Cases,” SPRi Issue Report IS-094, 2020.

Kim, N.-D., “Trend Korea 2019,” Miraebook Publications, 2018.

Korea Artificial Intelligence Association, “2018 Korea AI Startups,” 2021, https:// www.koraia.org/default/ (accessed 2021 June 23).

Korea Artificial Intelligence Association, “2019 Korea AI Startups,” 2021, https:// www.koraia.org/default/ (accessed 2021 June 23).

Korea Artificial Intelligence Association, “2020 Korea AI Startups,” 2021, https:// www.koraia.org/default/ (accessed 2021 June 23).

Korea Artificial Intelligence Association, “2021 Korea AI Startups,” 2021, https:// www.koraia.org/default/ (accessed 2021 June 23).

Lim, M., “History of AI Winters,” Actuaries Digital Editorial Report, 2018.

Ministry of Economy and Finance, Government of South Korea, Homepage Press Reference, 2021, https://www.moef. go.kr/ (accessed 2021 June 23).

National Information Society Agency, “2021 AI Startup Special Report,” 2021.

Nelson, R. R. and Winter, S. G., “The Schumpeterian tradeoff revisited,” The American Economic Review, Vol. 72, No. 1, pp. 114-132, 1982.

Open AI, http://openai.com Retrieved June 23, 2021.

Schot, J., “The usefulness of evolutionary models for explaining innovation. The case of the Netherlands in the nineteenth century,” History and Technology, Vol. 14, No. 3, pp. 173-200, 1998.

Shead, S., “Researchers: Are we on the cusp of an ‘AI winter?’,” BBC News Tech Report, 2020.

Shin et al., “A plan to reorganize the health care system in response to the 4th industrial revolution,” Korea Institute for Health and Social Affairs Report, 2017.

Standford University, “2021 AI Index Report,” 2021.

Statistics Korea, “Preliminary Results of Birth and Death Statistics in 2020,” 2021.

The VC, https://thevc.kr (accessed 2021 June 23).

Turnheim, B. and Geels, F. W., “Incumbent actors, guided search paths, and landmark projects in infra-system transitions: Re- thinking Strategic Niche Management with a case study of French tramway diffusion (1971-2016),” Research Policy, Vol. 48, No. 6, pp. 1412-1428, 2019.

Venture Comprehensive Management System, 2021 https://smes.go.kr (accessed 2021 June 23).

Wagner, D. N., “Economic patterns in a world with artificial intelligence,” Evolutionary and Institutional Economics Review, Vol. 17, No. 1, pp. 111-131, 2020.

Wamba-Taguimdje, S. L., Wamba, S. F., Kamdjoug, J. R. K., and Wanko, C. E. T., “Influence of Artificial Intelligence on Firm Performance: the Business Value of AI- based Transformation Projects,” Business Process Management Journal, 2020.

Yin, R. K., “Applications of case study research,” In Chapters 5 and 6 were presented in modified form at workshops held in Washington, DC in 1991, Sage Publications, Inc., 1993.


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