IDEAS home Printed from https://ideas.repec.org/p/zbw/itse23/278005.html
   My bibliography  Save this paper

Understandings of the AI business ecosystem in South Korea: AI startups' perspective

Author

Listed:
  • Nam, Jinyoung
  • Kim, Junghwan
  • Jung, Yoonhyuk

Abstract

Artificial intelligence (AI) startups are utilizing artificial intelligence technology to produce novel solutions across a multitude of sectors, becoming key players in the AI business ecosystem, signifying AI business networks consisting of technology, business applications, and various industry sectors. Particularly noteworthy is the substantial surge in the initiation and investment in AI startups within South Korea. To gain insight into the AI business ecosystem, this study explores how the ecosystem is collectively understood from AI startups' perspectives in South Korea. We conducted semi-structured interviews with 16 CEOs and managers in AI startups in South Korea. This study conducted a core-periphery analysis of the social representation of the AI business ecosystem. By doing so, it bridges an existing knowledge gap and enriches the body of research related to the AI business ecosystem, as well as the current opportunities and challenges it faces. Our findings not only inform and guide practitioners, governments, and businesses alike, but also suggest that continuous discussion among government agencies, large tech companies, and AI startups is crucial for establishing a more sustainable AI business ecosystem.

Suggested Citation

  • Nam, Jinyoung & Kim, Junghwan & Jung, Yoonhyuk, 2023. "Understandings of the AI business ecosystem in South Korea: AI startups' perspective," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 278005, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itse23:278005
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/278005/1/Nam-et-al.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    2. STAHL, Bernd Carsten, 2022. "Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence," International Journal of Information Management, Elsevier, vol. 62(C).
    3. Michael Hilb, 2020. "Toward artificial governance? The role of artificial intelligence in shaping the future of corporate governance," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 24(4), pages 851-870, December.
    4. Burström, Thommie & Parida, Vinit & Lahti, Tom & Wincent, Joakim, 2021. "AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research," Journal of Business Research, Elsevier, vol. 127(C), pages 85-95.
    5. Wenyan Yin & Hwy-Chang Moon & Yeon W. Lee, 2019. "The Success Factors of Korean Global Start-Ups in the Digital Sectors Through Internationalization," International Journal of Global Business and Competitiveness, Springer, vol. 14(1), pages 42-53, December.
    6. Bessen, James & Impink, Stephen Michael & Reichensperger, Lydia & Seamans, Robert, 2022. "The role of data for AI startup growth," Research Policy, Elsevier, vol. 51(5).
    7. Bernd W. Wirtz & Jan C. Weyerer & Carolin Geyer, 2019. "Artificial Intelligence and the Public Sector—Applications and Challenges," International Journal of Public Administration, Taylor & Francis Journals, vol. 42(7), pages 596-615, May.
    8. Brondi, Sonia & Pivetti, Monica & Di Battista, Silvia & Sarrica, Mauro, 2021. "What do we expect from robots? Social representations, attitudes and evaluations of robots in daily life," Technology in Society, Elsevier, vol. 66(C).
    9. Feijóo, Claudio & Kwon, Youngsun, 2020. "AI impacts on economy and society: Latest developments, open issues and new policy measures," Telecommunications Policy, Elsevier, vol. 44(6).
    10. Changsok Yoo & Dongwoo Yang & Huykang Kim & Eunnyeong Heo, 2012. "Key Value Drivers of Startup Companies in the New Media Industry—The Case of Online Games in Korea," Journal of Media Economics, Taylor & Francis Journals, vol. 25(4), pages 244-260, December.
    11. Kulkov, Ignat, 2021. "The role of artificial intelligence in business transformation: A case of pharmaceutical companies," Technology in Society, Elsevier, vol. 66(C).
    12. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    13. Neubert, Mitchell J. & Montañez, George D., 2020. "Virtue as a framework for the design and use of artificial intelligence," Business Horizons, Elsevier, vol. 63(2), pages 195-204.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pietronudo, Maria Cristina & Croidieu, Grégoire & Schiavone, Francesco, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Bosse, Douglas & Thompson, Steven & Ekman, Peter, 2023. "In consilium apparatus: Artificial intelligence, stakeholder reciprocity, and firm performance," Journal of Business Research, Elsevier, vol. 155(PA).
    3. Sayed Fayaz Ahmad & Heesup Han & Muhammad Mansoor Alam & Mohd. Khairul Rehmat & Muhammad Irshad & Marcelo Arraño-Muñoz & Antonio Ariza-Montes, 2023. "Impact of artificial intelligence on human loss in decision making, laziness and safety in education," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    4. Behera, Rajat Kumar & Bala, Pradip Kumar & Rana, Nripendra P. & Kizgin, Hatice, 2022. "Cognitive computing based ethical principles for improving organisational reputation: A B2B digital marketing perspective," Journal of Business Research, Elsevier, vol. 141(C), pages 685-701.
    5. Johnson, Prince Chacko & Laurell, Christofer & Ots, Mart & Sandström, Christian, 2022. "Digital innovation and the effects of artificial intelligence on firms’ research and development – Automation or augmentation, exploration or exploitation?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    6. Nylund, Petra A. & Amores-Bravo, Xavier & Ferràs-Hernández, Xavier & Brem, Alexander, 2023. "Crisis as a catalyst of idle innovation ecosystems: Evidence from ecosystem exaptation of a water partnership," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    7. Carmen Isensee & Kai-Michael Griese & Frank Teuteberg, 2021. "Sustainable artificial intelligence: A corporate culture perspective [Sustainable artificial intelligence: Eine unternehmenskulturelle Perspektive]," NachhaltigkeitsManagementForum | Sustainability Management Forum, Springer, vol. 29(3), pages 217-230, December.
    8. Burström, Thommie & Lahti, Tom & Parida, Vinit & Wartiovaara, Markus & Wincent, Joakim, 2023. "A definition, review, and extension of global ecosystems theory: Trends, architecture and orchestration of global VCs and mechanisms behind unicorns," Journal of Business Research, Elsevier, vol. 157(C).
    9. Bratanova, Alexandra & Pham, Hien & Mason, Claire & Hajkowicz, Stefan & Naughtin, Claire & Schleiger, Emma & Sanderson, Conrad & Chen, Caron & Karimi, Sarvnaz, 2022. "Differentiating artificial intelligence activity clusters in Australia," Technology in Society, Elsevier, vol. 71(C).
    10. Mohammad I. Merhi, 2023. "An Assessment of the Barriers Impacting Responsible Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(3), pages 1147-1160, June.
    11. Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
    12. Guangzhen Zhang & Wangyang Jiang, 2023. "Remote Sensing Image Semantic Segmentation Method Based on a Deep Convolutional Neural Network and Multiscale Feature Fusion," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 19(1), pages 1-16, January.
    13. Debesh Mishra & Kamalakanta Muduli & Rakesh Raut & Balkrishna Eknath Narkhede & Himanshu Shee & Sujoy Kumar Jana, 2023. "Challenges Facing Artificial Intelligence Adoption during COVID-19 Pandemic: An Investigation into the Agriculture and Agri-Food Supply Chain in India," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    14. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    15. Roberto Moro-Visconti & Salvador Cruz Rambaud & Joaquín López Pascual, 2023. "Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    16. Latinovic, Zoran & Chatterjee, Sharmila C., 2022. "Achieving the promise of AI and ML in delivering economic and relational customer value in B2B," Journal of Business Research, Elsevier, vol. 144(C), pages 966-974.
    17. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    18. Ancillai, Chiara & Sabatini, Andrea & Gatti, Marco & Perna, Andrea, 2023. "Digital technology and business model innovation: A systematic literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    19. Mehmet Çağlar & Cem Gürler, 2022. "Sustainable Development Goals: A cluster analysis of worldwide countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8593-8624, June.
    20. Laith T. Khrais, 2020. "Role of Artificial Intelligence in Shaping Consumer Demand in E-Commerce," Future Internet, MDPI, vol. 12(12), pages 1-14, December.

    More about this item

    Keywords

    Artificial intelligence (AI); AI startups; AI business ecosystem; Social representations theory;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:itse23:278005. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itseurope.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.