IDEAS home Printed from https://ideas.repec.org/a/hig/fsight/v17y2023i3p20-31.html
   My bibliography  Save this article

Assessment of Interorganizational Technology Transfer Efficiency

Author

Listed:
  • Yury Dranev

    (National Research University Higher School of Economics)

  • Elena Ochirova

    (National Research University Higher School of Economics)

  • Rainer Harms

    (University of Twente)

  • Mikhail Miriakov

    (National Research University Higher School of Economics)

Abstract

In this paper we propose a methodology for assessing the efficiency of technology transfer through merger and acquisition (M&A) and empirically estimate the effect of key factors impacting it. We implement data envelopment analysis (DEA) to calculate an efficiency score of the technology transfer process. The DEA efficiency score integrates a set of outputs (post-merger characteristics of an acquirer) and inputs (pre-merger technological parameters of a target); thus, it provides a multidimensional estimate of efficiency adjusted for the value of the acquired technology base.In the empirical part of this research, we collect data from 434 M&As to study a channel for transferring a technology base across organizational boundaries. Overall, empirical results suggest the adverse outcomes of accumulation of capability to value external technology: the higher the acquirer’s R&D intensity, the lower the efficiency of interorganizational technology transfer. The size of acquirer and relative size of the deal also affect the post-merger outcomes significantly and negatively. At the same time, the estimated effect of such technological characteristics of acquirer as capital expenditure intensity and number of patents is insignificant.

Suggested Citation

  • Yury Dranev & Elena Ochirova & Rainer Harms & Mikhail Miriakov, 2023. "Assessment of Interorganizational Technology Transfer Efficiency," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 17(3), pages 20-31.
  • Handle: RePEc:hig:fsight:v:17:y:2023:i:3:p:20-31
    as

    Download full text from publisher

    File URL: https://foresight-journal.hse.ru/en/2023-17-3/858937407.html
    Download Restriction: no

    File URL: https://foresight-journal.hse.ru/data/2023/11/28/2061003805/20-31%20Dranev.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stoneman, Paul & Kwon, Myung Joong, 1996. "Technology Adoption and Firm Profitability," Economic Journal, Royal Economic Society, vol. 106(437), pages 952-962, July.
    2. Un, C. Annique & Rodríguez, Alicia, 2018. "Learning from R&D outsourcing vs. learning by R&D outsourcing," Technovation, Elsevier, vol. 72, pages 24-33.
    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. Aishwarya Narayan & Sumukh Hungund, 2022. "Enhancing Firm Performance Through Adoption of Innovation: an Empirical Evidence from Indian Biotechnological Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2431-2456, September.
    2. Saba Firdousi, 2016. "Technology in the Sialkot Gloves Manufacturing Sector," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 21(Special E), pages 253-272, September.
    3. Chen, Feng & Wu, Bin & Lou, Wenqian, 2021. "An evolutionary analysis on the effect of government policies on green R & D of photovoltaic industry diffusion in complex network," Energy Policy, Elsevier, vol. 152(C).
    4. Susanna Wolf & Shyamal Chowdhury, 2003. "Use of ICTs and the Economic Performance of SMEs in East Africa," WIDER Working Paper Series DP2003-06, World Institute for Development Economic Research (UNU-WIDER).
    5. Toth, Jozsef & Dries, Liesbeth & Pascucci, Stefano, 2013. "Open or Not Open? (Open Innovation in the Hungarian Wine Industry)," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158850, Agricultural Economics Society.
    6. Paresh Kumar Narayan & Dinh Hoang Bach Phan, 2023. "Do Financial Technology Firms Influence Labour Force Outcomes In Indonesian Banks?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(4), pages 587-606, November.
    7. Cantono, Simona, 2012. "Unveiling diffusion dynamics: an autocatalytic percolation model of environmental innovation diffusion and the optimal dynamic path of adoption subsidies," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201222, University of Turin.
    8. Eleonora Bartoloni & Maurizio Baussola, 2018. "Driving business performance: innovation complementarities and persistence patterns," Industry and Innovation, Taylor & Francis Journals, vol. 25(5), pages 505-525, May.
    9. Santamaría, Luis & Nieto, María Jesús & Rodríguez, Alicia, 2021. "Failed and successful innovations: The role of geographic proximity and international diversity of partners in technological collaboration," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    10. Mehdi Khazaei & Mohammad Azizi & Mohamadreza Zali, 2021. "How performance of top companies are related on Global Competitiveness Index?," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 129-139, December.
    11. Sabourin, David Baldwin, John R. Smith, David, 2003. "Effet de l'utilisation des technologies de pointe sur le rendement des entreprises du secteur canadien de la transformation des aliments," Série de documents de recherche sur l'analyse économique (AE) 2003012f, Statistics Canada, Direction des études analytiques.
    12. Gomez, Jaime & Vargas, Pilar, 2009. "The effect of financial constraints, absorptive capacity and complementarities on the adoption of multiple process technologies," Research Policy, Elsevier, vol. 38(1), pages 106-119, February.
    13. Yang Liu and Taoyuan Wei, 2016. "Market and Non-market Policies for Renewable Energy Diffusion: A Unifying Framework and Empirical Evidence from Chinas Wind Power Sector," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    14. Toth, Jozsef, 2015. "Value creation and capturing: the case of the Hungarian agri-food SMEs," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204229, Agricultural Economics Society.
    15. Borghans, Lex & ter Weel, Bas, 2007. "The diffusion of computers and the distribution of wages," European Economic Review, Elsevier, vol. 51(3), pages 715-748, April.
    16. HERCIU Mihaela & OGREAN Claudia, 2017. "Does Capital Structure Influence Company’S Profitability?," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(3), pages 50-62, December.
    17. Bettiol, Marco & Capestro, Mauro & Di Maria, Eleonora & Ganau, Roberto, 2024. "Is this time different?: how Industry 4.0 affects firms' labor productivity," LSE Research Online Documents on Economics 124545, London School of Economics and Political Science, LSE Library.
    18. Christina Beneki & Avraam Papastathopoulos, 2011. "A LOG LINEAR ANALYSIS OF FACTORS AFFECTING PERFORMANCE OF EUROPEAN MANUFACTURING SMEs," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 4(3), pages 75-93.
    19. Sabourin, David & Baldwin, John R., 2002. "Enhancing Food Safety and Productivity: Technology Use in the Canadian Food Processing Industry," Analytical Studies Branch Research Paper Series 2002168e, Statistics Canada, Analytical Studies Branch.
    20. Koellinger, Philipp, 2008. "The relationship between technology, innovation, and firm performance--Empirical evidence from e-business in Europe," Research Policy, Elsevier, vol. 37(8), pages 1317-1328, September.

    More about this item

    Keywords

    interorganizational technology transfer; data envelopment analysis; patents; merger and acquisition; RnD;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility

    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:hig:fsight:v:17:y:2023:i:3:p:20-31. 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: Nataliya Gavrilicheva or Mikhail Salazkin (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.