The research aims to identify the actors involved in the technology transfer system in Agriculture technopark and analyze the potential of alliances or conflicts to achieve the goals. The analysis was carried out through a survey methodology. Data were obtained through interviews using questionnaires and focus group discussions on a group of informants selected according to specific criteria. MACTOR analysis is used to analyze the relationship between actors and actors-goals in technology transfer in ATP. The analysis results show that the actors playing a dominant role are the local government, the ATP manager, partner farmer groups, and researchers/extension workers. The four chief actors have the potential for an alliance to achieve system goals. Otherwise, actors such as universities, startups, and suppliers have the opportunity to cause several dreams to become divergent due to differences in interests. To conclude, the involvement of actors in the ATP technology transfer system is very much dominated by several actors in the driving subsystem, whereas the support subsystem is passive. The balance of the power of the actors will be obtained if the driving subsystem reduces its dominance by establishing mutually beneficial partnerships with actors in the supporting subsystem.
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8 August 2023
13TH INTERNATIONAL SEMINAR ON INDUSTRIAL ENGINEERING AND MANAGEMENT
28 July 2021
Bandung, Indonesia
Research Article|
August 08 2023
Actor-objectives analysis in technology transfer systems in agricultural technology parks using MACTOR analysis
Harmi Andrianyta;
Harmi Andrianyta
a
1
Badan Penelitian dan Pengembangan Pertanian
, Bogor, Indonesia
aCorresponding author: [email protected]
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Elisa Anggraeni;
Elisa Anggraeni
2
IPB University
, Bogor, Indonesia
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dan Sapta Raharja
dan Sapta Raharja
2
IPB University
, Bogor, Indonesia
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aCorresponding author: [email protected]
AIP Conf. Proc. 2485, 120009 (2023)
Citation
Harmi Andrianyta, Sukardi, Elisa Anggraeni, dan Sapta Raharja; Actor-objectives analysis in technology transfer systems in agricultural technology parks using MACTOR analysis. AIP Conf. Proc. 8 August 2023; 2485 (1): 120009. https://doi.org/10.1063/5.0105460
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