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Managing a high-tech startup: A case of machine vision for the poultry industry

Author

Listed:
  • Kirill V. Simonov

    (Lomonosov Moscow State University, Moscow, Russia)

  • Natalia A. Girfanova

    (OOO BioBit, Moscow, Russia)

Abstract

High-tech startups face a number of insurmountable problems that prevent them from turning innovative ideas into new products. The article investigates the managerial aspects of implementation and commercialization of high-tech startups in Russia using the case of an automated computer vision analytical system for industrial poultry farming. Entrepreneurship theory and the concept of strategic management constitute the theoretical basis of the study. Among the research methods used in the paper are the POCD framework in combination with SWOT analysis involved in the formation of startup management strategies, as well as Sandelovsky and Barroso’s Meta-Synthesis method applied to identify factors that determine the successful implementation of a startup. The empirical evidence of the work was a bank of video data collected at the VNITIP Federal Research Center of the Russian Academy of Sciences and covering the full life cycle of broiler chickens. The paper established three main sources of funding for high-tech start-ups to introduce machine vision systems in the poultry industry: the state, industrial corporations, and venture capital. At that, none of the enterprises, including the global leaders, has yet reached the IPO stage. We identify two central lines to launch and commercialize a Russian start-up in poultry farming, these are association with developers of integrated digital solutions and/or integration with poultry meat producers. Recommendations are formulated regarding the implementation of a high-tech start-up: to form a public-private partnership, actively interact with research centers and universities, cooperate with business angels, expand the entrepreneurial competencies of startupers, and clarify the business model of the project. The mass introduction of machine vision technology in the poultry industry is possible due to the acceleration of technological progress and the elimination of the main obstacle, i.e., the high cost of components for machine vision systems.

Suggested Citation

  • Kirill V. Simonov & Natalia A. Girfanova, 2023. "Managing a high-tech startup: A case of machine vision for the poultry industry," Upravlenets, Ural State University of Economics, vol. 14(2), pages 47-61, May.
    • Handle: RePEc:url:upravl:v:14:y:2023:i:2:p:47-61
    DOI: 10.29141/2218-5003-2023-14-2-4
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    References listed on IDEAS

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    1. Elias Carayannis & Evangelos Grigoroudis, 2016. "Quadruple Innovation Helix and Smart Specialization: Knowledge Production and National Competitiveness," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 10(1 (eng)), pages 31-42.
    2. Angelo Corallo & Fabrizio Errico & Maria Elena Latino & Marta Menegoli, 2019. "Dynamic Business Models: a Proposed Framework to Overcome the Death Valley," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(3), pages 1248-1271, September.
    3. Elias Carayannis & Evangelos Grigoroudis, 2016. "Quadruple Innovation Helix and Smart Specialization: Knowledge Production and National Competitiveness," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 10(1), pages 31-42.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    project management; high-tech startup; entrepreneurial idea; innovation; investment; commercialization; machine vision; poultry farming;
    All these keywords.

    JEL classification:

    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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