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Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective

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  • Karol Śledzik

    (Department of Banking and Finance, Faculty of Management, University of Gdańsk, ul. Armii Krajowej 101, 81-824 Sopot, Poland)

  • Renata Płoska

    (Department of Business Economics, Faculty of Management, University of Gdańsk, ul. Armii Krajowej 101, 81-824 Sopot, Poland)

  • Mariusz Chmielewski

    (Department of Business Economics, Faculty of Management, University of Gdańsk, ul. Armii Krajowej 101, 81-824 Sopot, Poland)

  • Adam Barembruch

    (Department of Banking and Finance, Faculty of Management, University of Gdańsk, ul. Armii Krajowej 101, 81-824 Sopot, Poland)

  • Agnieszka Szmelter-Jarosz

    (Department of Logistics, Faculty of Economics, University of Gdańsk, ul. Armii Krajowej 109/111, 81-824 Sopot, Poland)

  • Angelika Kędzierska-Szczepaniak

    (Department of Banking and Finance, Faculty of Management, University of Gdańsk, ul. Armii Krajowej 101, 81-824 Sopot, Poland)

  • Paweł Antonowicz

    (Department of Business Economics, Faculty of Management, University of Gdańsk, ul. Armii Krajowej 101, 81-824 Sopot, Poland)

Abstract

The importance of studying civilization diseases manifests itself in the impact of changing lifestyles, on the number of deaths and causes of death. Technology transfer plays an important role in the prevention and treatment of these diseases. Through this, it is possible to transfer new treatments and diagnostics to clinics and hospitals more quickly and effectively, which leads to better healthcare for patients. Technology transfer can also aid in the development of new drugs and therapies that can be effective in the treatment of civilization diseases. The paper aims to evaluate the technology transfer process in the field of civilization diseases, using COVID-19 as an example of a pandemic that requires quick development and transfer of technology. To achieve the assumed goal, we propose a multivariate synthetic ratio in the field of civilization diseases (SMTT—Synthetic Measure of Technology Transfer) to analyze data from the Global Data database. We used sub-measures like SMTT_value (Synthetic Measure of Technology Transfer_value) and SMTT_quantity (Synthetic Measure of Technology Transfer_quantity) to measure technology transfer and put the data into a graph. Our analysis focuses on 14 diseases over a period of 10 years (2012–2021) and includes nine forms of technology transfer, allowing us to create a tool for analysing the process in multiple dimensions. Our results show that COVID-19 is similar in terms of technology transfer to diseases such as diabetes, cardiovascular diseases, neurodegenerative diseases, and breast cancer, even though data for COVID-19 is available for only 2 years.

Suggested Citation

  • Karol Śledzik & Renata Płoska & Mariusz Chmielewski & Adam Barembruch & Agnieszka Szmelter-Jarosz & Angelika Kędzierska-Szczepaniak & Paweł Antonowicz, 2023. "Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1954-:d:1042627
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    References listed on IDEAS

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