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2024 | OriginalPaper | Buchkapitel

Romania’s Cluster Potential. Integrating Intelligence Systems to Spur Competitiveness in the Agriculture Industry

verfasst von : Cristiana-Ioana Coman, Valentin Cojanu

Erschienen in: Rethinking Business for Sustainable Leadership in a VUCA World

Verlag: Springer Nature Switzerland

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Abstract

A clusters’ role in stimulating, creating, and expanding a region's competitiveness is axiomatic. The research questions that have steered our study are: which are the Romanian industries with the highest potential for cluster development? How did the European top-ranked agricultural clusters integrate intelligence systems into their operations? How could we adapt those intelligent systems to develop Romania's agro-clusters? The results were obtained by employing a two-fold methodology: (1) to evaluate Romania's cluster potential, we have used the Cluster Index of Sternberg and Litzenberger, and (2) to design sustainable policies meant to spur the sector's competitiveness, we have used the benchmarking for 14 agricultural clusters awarded with Gold Label by the European Cluster Excellence Initiative. We learned that over half of the Romanian counties have the highest potential to develop clusters in the primary industry—the agriculture, forestry and fishing, and mining and quarrying sectors. The counties that registered the most significant Cluster Index on the agriculture sector are Bihor, Covasna, Harghita, Botoșani, Neamț, and Vaslui.
Concerning the stimulation of the cluster's competitiveness, we concluded that Romania needs a robust investment in knowledge and innovation, implementation of intelligent systems among the value chain, and facilitation of national and international collaboration. Our conclusions could represent a starting point for regional policymakers, cluster directors, and governments to create new strategies to support Romania's agricultural industry and clusters.

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Literatur
Zurück zum Zitat Abioye, E.A.: Precision irrigation management using machine learning and digital farming solutions. AgriEngineering 4, 70–103 (2022)CrossRef Abioye, E.A.: Precision irrigation management using machine learning and digital farming solutions. AgriEngineering 4, 70–103 (2022)CrossRef
Zurück zum Zitat Allal-Chérif, O., Simón-Moya, V., Cuenca Ballester, A.C.: Intelligent purchasing: How artificial intelligence can redefine the purchasing function. J. Bus. Res., 124, 69–76 (2021) Allal-Chérif, O., Simón-Moya, V., Cuenca Ballester, A.C.: Intelligent purchasing: How artificial intelligence can redefine the purchasing function. J. Bus. Res., 124, 69–76 (2021)
Zurück zum Zitat Barenji, A.V., Wang, W., Li, Z., Guerra-Zubiaga, D.A.: Intelligent E-commerce logistics platform using hybrid agent based approach. Transp. Res. Part E: Logist. Trans-Portation Rev. 126, 15–31 (2019)CrossRef Barenji, A.V., Wang, W., Li, Z., Guerra-Zubiaga, D.A.: Intelligent E-commerce logistics platform using hybrid agent based approach. Transp. Res. Part E: Logist. Trans-Portation Rev. 126, 15–31 (2019)CrossRef
Zurück zum Zitat Chen, M.-K., Wu, S.-W., Huang, Y.-P., Chang, F.-J.: The key success factors for the operation of SME cluster. Sustainability, 14, (2022) Chen, M.-K., Wu, S.-W., Huang, Y.-P., Chang, F.-J.: The key success factors for the operation of SME cluster. Sustainability, 14, (2022)
Zurück zum Zitat Chen, Q., Hu, X.: Design of intelligent control system for agricultural greenhouses based on adaptive improved genetic algorithm for multi-energy supply system. Energy Rep. 8, 12126–12138 (2022)CrossRef Chen, Q., Hu, X.: Design of intelligent control system for agricultural greenhouses based on adaptive improved genetic algorithm for multi-energy supply system. Energy Rep. 8, 12126–12138 (2022)CrossRef
Zurück zum Zitat Chowdhury, M. E., Tawsifur Rahman, A.K.-E.: Automatic and reliable leaf disease detection using deep learning techniques. AgriEngineering, 3(2), 294–312 (2021) Chowdhury, M. E., Tawsifur Rahman, A.K.-E.: Automatic and reliable leaf disease detection using deep learning techniques. AgriEngineering, 3(2), 294–312 (2021)
Zurück zum Zitat Clipa, R.I., Pohoata, I., Filipeanu, D., Tudose, M.B.: Clusters and regional competitiveness in Romania. In: Annals of DAAAM for 2012 & proceedings of the 23rd international daaam symposium. 23. Vienna (Austria) (2012) Clipa, R.I., Pohoata, I., Filipeanu, D., Tudose, M.B.: Clusters and regional competitiveness in Romania. In: Annals of DAAAM for 2012 & proceedings of the 23rd international daaam symposium. 23. Vienna (Austria) (2012)
Zurück zum Zitat Delgado, M., Porter, M. E., Stern, S.: Defining clusters of related industries. J. Econ. Geogr., 1–38, (2015) Delgado, M., Porter, M. E., Stern, S.: Defining clusters of related industries. J. Econ. Geogr., 1–38, (2015)
Zurück zum Zitat Duduian, M.: Innovative clusters: the case of Romania. Manag. Res. Pract. 3(3), 1–11 (2011) Duduian, M.: Innovative clusters: the case of Romania. Manag. Res. Pract. 3(3), 1–11 (2011)
Zurück zum Zitat Essien, J.: Application of intelligent systems in rural agricultural practice. Int. J. Adv. Res. Publ., 3(4) (2019) Essien, J.: Application of intelligent systems in rural agricultural practice. Int. J. Adv. Res. Publ., 3(4) (2019)
Zurück zum Zitat Gajšek, B., Kovač, J.: Key factors for the successful operation of clusters: the case for Slovenia. Organizacija, 49, (2016) Gajšek, B., Kovač, J.: Key factors for the successful operation of clusters: the case for Slovenia. Organizacija, 49, (2016)
Zurück zum Zitat Goschin, Z., Constantin, D., Roman, M., Ileanu, B.: Regional specialization and geographic concentration of industries in Romania. South-East. Eur. J. Econ., 99–113 (2009) Goschin, Z., Constantin, D., Roman, M., Ileanu, B.: Regional specialization and geographic concentration of industries in Romania. South-East. Eur. J. Econ., 99–113 (2009)
Zurück zum Zitat Kolhe, S., Gupta, G.: Intelligence systems for agriculture domain. National conference on emerging trends in computer technology. Int. J. Comput. Appl., (2014) Kolhe, S., Gupta, G.: Intelligence systems for agriculture domain. National conference on emerging trends in computer technology. Int. J. Comput. Appl., (2014)
Zurück zum Zitat Li, F., Su, Z., Wang, G.-M.: An effective integrated control with intelligent optimization for wastewater treatment process. J. Ind. Inf. Integr., (2021) Li, F., Su, Z., Wang, G.-M.: An effective integrated control with intelligent optimization for wastewater treatment process. J. Ind. Inf. Integr., (2021)
Zurück zum Zitat Lykhovyd, P.: Comparing reference evapotranspiration calculated in eto calculator (Ukraine) mobile app with the estimated by standard FAO-based approach. AgriEngineering 4(3), 747–757 (2022)CrossRef Lykhovyd, P.: Comparing reference evapotranspiration calculated in eto calculator (Ukraine) mobile app with the estimated by standard FAO-based approach. AgriEngineering 4(3), 747–757 (2022)CrossRef
Zurück zum Zitat Manukyan, I.: Formation and management of regional agri-food clusters in developing countries: case of “agrotransilvania” (Romania). Manag. Sustain. Dev. 13(2), 34–40 (2021)CrossRef Manukyan, I.: Formation and management of regional agri-food clusters in developing countries: case of “agrotransilvania” (Romania). Manag. Sustain. Dev. 13(2), 34–40 (2021)CrossRef
Zurück zum Zitat Marques, L.S.: Agricultural machinery telemetry: a bibliometric analysis. AgriEngineering 4, 939–950 (2022)CrossRef Marques, L.S.: Agricultural machinery telemetry: a bibliometric analysis. AgriEngineering 4, 939–950 (2022)CrossRef
Zurück zum Zitat Martínez-Marín, S., Puello-Pereira, N., Ovallos-Gazabon, D.: Cluster competitiveness modeling: An approach with systems dynamics. Soc. Sci., MDPI 9(2), (2020) Martínez-Marín, S., Puello-Pereira, N., Ovallos-Gazabon, D.: Cluster competitiveness modeling: An approach with systems dynamics. Soc. Sci., MDPI 9(2), (2020)
Zurück zum Zitat Nallari, R., Griffith, B.: Clusters of competitiveness. International Bank for Reconstruction and Development/ The World Bank, Washington DC, Washington DC (2013)CrossRef Nallari, R., Griffith, B.: Clusters of competitiveness. International Bank for Reconstruction and Development/ The World Bank, Washington DC, Washington DC (2013)CrossRef
Zurück zum Zitat Păuna, C.B.: Cross-sectoral cooperation vs. cluster development at European level. In: 2nd international conference ‘economic scientific research - theoretical, empirical and practical approaches. Elsevier B.V., Bucharest, Romania, pp. 175–183 (2015) Păuna, C.B.: Cross-sectoral cooperation vs. cluster development at European level. In: 2nd international conference ‘economic scientific research - theoretical, empirical and practical approaches. Elsevier B.V., Bucharest, Romania, pp. 175–183 (2015)
Zurück zum Zitat Porter, M.: The competitive advantage of nations. Harv. Bus. Rev. 68, 73–93 (1990) Porter, M.: The competitive advantage of nations. Harv. Bus. Rev. 68, 73–93 (1990)
Zurück zum Zitat Sosnovskikh, S.: Industrial clusters in Russia: The development of special economic zones and industrial parks. Russ. J. Econ. 3(2), 99–174 (2017)CrossRef Sosnovskikh, S.: Industrial clusters in Russia: The development of special economic zones and industrial parks. Russ. J. Econ. 3(2), 99–174 (2017)CrossRef
Zurück zum Zitat Sternberg, R., Litzenberger, T.: Regional clusters in germany—their geography and their relevance for entrepreneurial activities. Eur. Plan. Stud., 12(6), (2004) Sternberg, R., Litzenberger, T.: Regional clusters in germany—their geography and their relevance for entrepreneurial activities. Eur. Plan. Stud., 12(6), (2004)
Zurück zum Zitat Xiong, F., Qiao, K.: Intelligent systems and its application in agriculture. IFAC Proceedings Volumes 32(2), 5597–5602 (1999)CrossRef Xiong, F., Qiao, K.: Intelligent systems and its application in agriculture. IFAC Proceedings Volumes 32(2), 5597–5602 (1999)CrossRef
Metadaten
Titel
Romania’s Cluster Potential. Integrating Intelligence Systems to Spur Competitiveness in the Agriculture Industry
verfasst von
Cristiana-Ioana Coman
Valentin Cojanu
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-50208-8_5

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