IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i20p11143-d652236.html
   My bibliography  Save this article

A Theoretical Framework for Analysing Technology Transfer Processes Using Agent-Based Modelling: A Case Study on Massive Technology Adoption (AMTEC) Program on Rice Production

Author

Listed:
  • William Orjuela-Garzon

    (School of Engineering, Universidad Pontificia Bolivariana, Medellín 050031, Colombia)

  • Santiago Quintero

    (School of Engineering, Universidad Pontificia Bolivariana, Medellín 050031, Colombia)

  • Diana P. Giraldo

    (School of Engineering, Universidad Pontificia Bolivariana, Medellín 050031, Colombia)

  • Laura Lotero

    (School of Engineering, Universidad Pontificia Bolivariana, Medellín 050031, Colombia)

  • César Nieto-Londoño

    (School of Engineering, Universidad Pontificia Bolivariana, Medellín 050031, Colombia)

Abstract

The technology transfer (TT) process has been studied from different approaches to improve productivity and competitiveness in agricultural chains. However, the process is not always presented successfully due to heterogeneity and inequality in the technological capacities (TC) of the agents that are part of the transfer process, in addition to the geographical context, the interaction networks and decision rules, which are key factors to understand the TT phenomenon. In this context and as a case study, the Colombian National Federation of rice growers promoted the development and adoption of technology that increased crop competitiveness and sustainability by implementing a technology transfer program known as the Massive Technology Adoption Program (AMTEC—Adopción Masiva de Tecnología) on rice. With the AMTEC program, average production costs were reduced by 26% (USD 119 per hectare), and it increased average yields by 23% (1.27 tonnes per hectare), which shows the importance of introducing technologies in productive chains in developing countries. This research provides a better understanding of the TT processes, based on the analysis of the interaction dynamics and behaviour patterns between the agents (i.e., generators, intermediaries, or users) in the TT processes. As an analysis tool, the agent-based modelling paradigm (ABM) was proposed to study the emergence at the macro-level of behaviour patterns of a system from the interactions of semi-intelligent agents at the micro-level, using experiments.

Suggested Citation

  • William Orjuela-Garzon & Santiago Quintero & Diana P. Giraldo & Laura Lotero & César Nieto-Londoño, 2021. "A Theoretical Framework for Analysing Technology Transfer Processes Using Agent-Based Modelling: A Case Study on Massive Technology Adoption (AMTEC) Program on Rice Production," Sustainability, MDPI, vol. 13(20), pages 1-23, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11143-:d:652236
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/20/11143/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/20/11143/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Park, Byung Il, 2011. "Knowledge transfer capacity of multinational enterprises and technology acquisition in international joint ventures," International Business Review, Elsevier, vol. 20(1), pages 75-87, February.
    2. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    3. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    4. Carlsson, B & Stankiewicz, R, 1991. "On the Nature, Function and Composition of Technological Systems," Journal of Evolutionary Economics, Springer, vol. 1(2), pages 93-118, April.
    5. Verma, Pranay & Sinha, Neena, 2018. "Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 207-216.
    6. Sanjaya Lall, 1998. "Technological capabilities in emerging Asia," Oxford Development Studies, Taylor & Francis Journals, vol. 26(2), pages 213-243.
    7. Happe, Kathrin, 2004. "Agricultural policies and farm structures: Agent-based modelling and application to EU-policy reform," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 30, number 14945, September.
    8. Santiago Quintero Ramírez & Walter Lugo Ruiz Castañeda & Jorge Robledo Velásquez, 2017. "Representation of unlearning in the innovation systems: A proposal from agent-based modeling," Estudios Gerenciales, Universidad Icesi, vol. 33(145), pages 366-376, November.
    9. A. Dinmohammadi & M. Shafiee, 2017. "Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model," Energies, MDPI, vol. 10(5), pages 1-17, May.
    10. Koza, Mitchell & Lewin, Arie, 2000. "Managing partnerships and strategic alliances: raising the odds of success," European Management Journal, Elsevier, vol. 18(2), pages 146-151, April.
    11. Kathrin Happe, 2005. "Agricultural policies and farm structures - agent-based simulation and application to EU-policy reform," Others 0504011, University Library of Munich, Germany.
    12. Robinson, Scott A. & Rai, Varun, 2015. "Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach," Applied Energy, Elsevier, vol. 151(C), pages 273-284.
    13. Lall, Sanjaya, 1992. "Technological capabilities and industrialization," World Development, Elsevier, vol. 20(2), pages 165-186, February.
    14. Simona Naspetti & Serena Mandolesi & Jeroen Buysse & Terhi Latvala & Philippa Nicholas & Susanne Padel & Ellen J. Van Loo & Raffaele Zanoli, 2017. "Determinants of the Acceptance of Sustainable Production Strategies among Dairy Farmers: Development and Testing of a Modified Technology Acceptance Model," Sustainability, MDPI, vol. 9(10), pages 1-16, October.
    15. F. Castro-Llanos & G. Hyman & J. Rubiano & J. Ramirez-Villegas & H. Achicanoy, 2019. "Climate change favors rice production at higher elevations in Colombia," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1401-1430, December.
    16. Carlsson, Bo & Jacobsson, Staffan, 1994. "Technological systems and economic policy: the diffusion of factory automation in Sweden," Research Policy, Elsevier, vol. 23(3), pages 235-248, May.
    17. X Martin & R Salomon, 2003. "Knowledge transfer capacity and its implications for the theory of the multinational corporation," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 34(4), pages 356-373, July.
    18. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    19. Hannah Muelder & Tatiana Filatova, 2018. "One Theory - Many Formalizations: Testing Different Code Implementations of the Theory of Planned Behaviour in Energy Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(4), pages 1-5.
    20. Walrave, Bob & Raven, Rob, 2016. "Modelling the dynamics of technological innovation systems," Research Policy, Elsevier, vol. 45(9), pages 1833-1844.
    21. Michael Fritsch & Viktor Slavtchev, 2011. "Determinants of the Efficiency of Regional Innovation Systems," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 905-918.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Almanza Junco, Carlos Alberto & Parra Acosta, Yenny Katherine & Sabogal Salamanca, Mauricio, 2024. "Model of innovation in agriculture 4.0 processes in the department of Cundinamarca, Colombia," Revista Tendencias, Universidad de Narino, vol. 25(2), pages 86-112, July.

    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. Noeldeke, Beatrice & Winter, Etti & Ntawuhiganayo, Elisée Bahati, 2022. "Representing human decision-making in agent-based simulation models: Agroforestry adoption in rural Rwanda," Ecological Economics, Elsevier, vol. 200(C).
    2. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    3. Mthanti, Thanti & Ojah, Kalu, 2017. "Entrepreneurial orientation (EO): Measurement and policy implications of entrepreneurship at the macroeconomic level," Research Policy, Elsevier, vol. 46(4), pages 724-739.
    4. Audretsch, David B. & Lehmann, Erik E. & Menter, Matthias & Wirsching, Katharine, 2021. "Intrapreneurship and absorptive capacities: The dynamic effect of labor mobility," Technovation, Elsevier, vol. 99(C).
    5. René Belderbos & Boris Lokshin & Federico Michiel, 2021. "R&D and Foreign Subsidiary Performance at or Below the Technology Frontier," Management International Review, Springer, vol. 61(6), pages 745-767, December.
    6. Jonas Heiberg & Bernhard Truffer, 2021. "The emergence of a global innovation system – a case study from the water sector," GEIST - Geography of Innovation and Sustainability Transitions 2021(09), GEIST Working Paper Series.
    7. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    8. Prasad Pant, Laxmi & Hambly Odame, Helen & Hall, Andy & Sulaiman, Rasheed, 2008. "Learning Networks Matter: Challenges to Developing Learning-Based Competence in Mango Production and Post-Harvest in Andhra Pradesh, India," MERIT Working Papers 2008-069, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    10. Souzanchi Kashani, Ebrahim & Roshani, Saeed, 2019. "Evolution of innovation system literature: Intellectual bases and emerging trends," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 68-80.
    11. Ron A. Boschma & Anet B.R. Weterings, 2005. "The effect of regional differences on the performance of software firms in the Netherlands," Journal of Economic Geography, Oxford University Press, vol. 5(5), pages 567-588, October.
    12. Kellermann, Konrad & Balmann, Alfons, 2006. "How Smart Should Farms Be Modeled? Behavioral Foundation of Bidding Strategies in Agent-Based Land Market Models," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25446, International Association of Agricultural Economists.
    13. Suzanne G. Tilleman & Michael V. Russo & Andrew J. Nelson, 2020. "Institutional Logics and Technology Development: Evidence from the Wind and Solar Energy Industries," Organization Science, INFORMS, vol. 31(3), pages 649-670, May.
    14. Kim, Yeong Jae & Wilson, Charlie, 2019. "Analysing energy innovation portfolios from a systemic perspective," Energy Policy, Elsevier, vol. 134(C).
    15. Jan Fagerberg & Maryann Feldman & Martin Srholec, 2011. "Technological Dynamics and Social Capability: Comparing U.S. States and European Nations," Working Papers on Innovation Studies 20111114, Centre for Technology, Innovation and Culture, University of Oslo.
    16. Angelica Sbardella & Emanuele Pugliese & Andrea Zaccaria & Pasquale Scaramozzino, 2018. "The role of complex analysis in modeling economic growth," Papers 1808.10428, arXiv.org.
    17. Heinrich, F. & Appel, F., 2018. "Do investors ruin Germany s peasant agriculture?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277171, International Association of Agricultural Economists.
    18. Kingsley E. Haynes & Haifeng Qian & Sidney C. Turner, 2012. "The location of business support programs: does the knowledge context matter?," Chapters, in: Charlie Karlsson & Börje Johansson & Roger R. Stough (ed.), Entrepreneurship, Social Capital and Governance, chapter 13, pages 302-324, Edward Elgar Publishing.
    19. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    20. Seungil Yum, 2019. "The interaction between knowledge-intensive business services and urban economy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(1), pages 53-83, August.

    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:gam:jsusta:v:13:y:2021:i:20:p:11143-:d:652236. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.