Sustainable development of emerging industries in terms of intellectual property amidst economic globalization and the Internet of Things

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Published: Jan 10, 2025
DOI: https://doi.org/10.1590/S0034-759020250105
Keywords:
economic globalization Internet of Agriculture sustainable development policy support intellectual property

Main Article Content

Xiaolong Liang
Hubei University of Automotive Technology, College of Intellectual property, Shiyan, China
Mengyao Chen
Dong-A University, Law School, Busan, South Korea
Zichen Liu
Gyeongsang National University, Intellectual Property Convergence Department, Jinju, South Korea
Tiantian Qu
Hubei University of Automotive Technology, School of Economics and Management, Shiyan, China

Abstract

This study proposes a method to enhance agricultural production efficiency in terms of intellectual property (IP) through smart agricultural practices. First, this study analyzes the key evaluation indicators of IoT in agriculture. A sustainability model and evaluation indicator system are designed using the driver-state-response framework. The principal component analysis algorithm is then used to assign values to the indicators. Finally, the sustainability level scores of the Internet of Agriculture (IoA) model of IP emerging industries in each municipality within the province are calculated, and different strategies are proposed based on these
scores. These results provide specific data support for the sustainable development of IP emerging industries under economic globalization.

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How to Cite
LIANG, Xiaolong; CHEN, Mengyao; LIU, Zichen; QU, Tiantian. Sustainable development of emerging industries in terms of intellectual property amidst economic globalization and the Internet of Things. RAE - Revista de Administracao de Empresas , [S. l.], v. 65, n. 1, p. e2024–0250, 2025. DOI: 10.1590/S0034-759020250105. Disponível em: https://periodicos.fgv.br/rae/article/view/92760. Acesso em: 13 nov. 2026.
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Vol. 65 No. 1 (2025): January-February
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References

Abbasikesbi, R., Nikfarjam, A., & Nemati, M. (2020). Developed wireless sensor network to supervise the essential parameters in greenhouses for the internet of things applications. IET Circ Device Syst, 14(8), 1258-1264. https://doi.org/10.1049/iet-cds.2020.0085

Ahirwar, M. K., Bansal, A., & Shukla, P. K. (2019). Opinion on different classification algorithms used in the internet of things environment for large data set. IEEE Access, 9(1), 51-60. https://doi.org/10.4018/IJOCI.2019010104

Alreshidi, E. (2019). Smart Sustainable Agriculture (SSA) solution underpinned by Internet of Things (IoT) and Artificial Intelligence (AI). Int J Adv Comput SC, 10(5), 93-102. https://doi.org/10.14569/IJACSA.2019.0100513

Arqub, O. A. (2017). Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations. Neural Comput Appl, 28(7), 1591-1610. https://doi.org/10.1007/s00521-015-2110-x

Arqub, O. A., & Abo-Hammour, Z. (2014). Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm. Inform SCI, 279, 396-415. https://doi.org/10.1016/j.ins.2014.03.128

Arqub, O. A., Abo-Hammour, Z., Momani, S., & Shawagfeh, N. (2012). Solving singular two-point boundary value problems using continuous genetic algorithm. Abstract Applied Analysis, 205391, 1-25. https://doi.org/10.1155/2012/205391

Cao, S. (2021). A novel optimal selection algorithm for agricultural trade export in blockchain-enabled Internet of Things. Wirel Commun Mob Com, 21, 1-10. https://doi.org/10.1155/2021/6646398

Chen, J., & Yang, A. (2019). Intelligent agriculture and its key technologies based on Internet of Things Architecture. IEEE Access, 7, 77134-77141. https://doi.org/10.1109/ACCESS.2019.2921391

Chen, Y., Zhao, S., & Zhou, Y. (2018). Research on intelligent agricultural planting system based on Internet of Things technology. J Comput Netw Commun, 6(6), 54-60. https://doi.org/10.4236/jcc.2018.66005

Civelek, C. (2020). Evaluation of Internet of Things (IoT) technology to be used as a precision agriculture solution for Turkey's agriculture. Fresen Environ Bull, 29(7), 5689-5695. https://www.researchgate.net/publication/342766072_Evaluation_of_Internet_of_Things_IoT_Technology_to_be_Used_as_a_Precision_Agriculture_Solution_for_Turkey's_Agriculture?__cf_chl_rt_tk=zWouKsCxA0dEfQx_8RGyJQwbvus2YJ3zah5KKsY0Ydg-1723131793-0.0.1.1-5524

Gavrilovi, N., & Mishra, A. (2021). Software architecture of the internet of things (IoT) for smart city, healthcare and agriculture: Analysis and improvement directions. J Amb Intel Hum Comp, 12(1), 1315-1336. https://doi.org/10.1007/s12652-020-02197-3

Hegab, H., Shaban, I., Jamil, M., & Khanna, N. (2023). Toward sustainable future: Strategies, indicators, and challenges for implementing sustainable production systems. Sustain. Mater. Technol., 36, e00617. https://doi.org/10.1016/j.susmat.2023.e00617

Hu, X., Sun, L., Zhou, Y., Ruan, J. (2020). Review of operational management in intelligent agriculture based on the Internet of Things. Front Eng Manag, 7(3), 309-322. https://doi.org/10.1007/s42524-020-0107-3

Kirubanand, V. B., Rohini, V., & Laxmankumar, V. (2021). Internet of Things in agriculture to revolutionize traditional agricultural industry. ITM Web of Conferences, 37(7), 01018. https://doi.org/10.1051/itmconf/20213701018

Li, G., Li, D., & Chen, W. (2020). Design and application of special sensors and Internet of Things (IoT)-based wireless system for agricultural information monitor. Journal of Physics Conference Series, 1646, 012130. https://doi.org/10.1088/1742-6596/1646/1/012130

Li, X., Ma, Z., Zheng, J., Liu, Y., Zhu, L., & Zhou, N. (2020). An effective edge-assisted data collection approach for critical events in the SDWSN-Based Agricultural Internet of Things. Electronics-Switz, 9(6), 907. https://doi.org/10.3390/electronics9060907

Liang, H. (2021). Multiobjective optimization method of coevolution to intelligent agricultural dynamic services under the Internet of Things environment. Wirel Commun Mob Com, 2021, 1-10. https://doi.org/10.1155/2021/5585062

Lin, N., Wang, X., & Zhang, Y. (2020). Fertigation management for sustainable precision agriculture based on Internet of Things. J Clean Prod, 277(12), 124119. https://doi.org/10.1016/j.jclepro.2020.124119

Mishra, K. N., Kumar, S., & Patel, N. R. (2021). Survey on Internet of Things and its Application In Agriculture. Journal of Physics: Conference Series, 1714(1), 012025. https://doi.org/10.1088/1742-6596/1714/1/012025.

Oche, O. E., Nasir, S. M., & Muhammed, A. H. (2020). Internet of Things-Based Agriculture: A review of security threats and countermeasures. IJSRP, 10(8), 738. https://doi.org/10.29322/IJSRP.10.08.2020.p10494

Pouresmaieli, M., Ataei, M., & Taran, A. (2023). Future mining based on internet of things (IoT) and sustainability challenges. Int. J. Sustain. Dev. World Ecol., 30(2), 211-228. https://doi.org/10.1080/13504509.2022.2137261

Raj, A. S. (2020). Regulation of water in agriculture field using internet of things. Journal of Xidian University, 14(4), 3006-3021. https://doi.org/10.1109/TIAR.2015.7358541

Sambana, B. (2020). Smart agriculture using Internet of Things. Journal of Xidian University, 14(7), 1645-1654. https://doi.org/10.1007/978-981-16-8892-8_13

Sanislav, T., Zeadally, S., & Mois, G. D. (2018). Wireless energy harvesting: Empirical results and practical considerations for Internet of Things. J Netw Comput Appl, 121(11), 149-158. https://doi.org/10.1016/j.jnca.2018.08.002

Sekaran, K., Meqdad, M. N., Kumar, P., Manasa, R., & Vibha, T. G. (2020). Smart agriculture management system using internet of things. Telkomnika, 18(3), 1276-1285. https://doi.org/10.1007/978-981-33-4355-9_28

Shen, C., Chen, M., & Wang, C. (2019). Analyzing the trend of O2O commerce by bilingual text mining on social media. Comput Hum Behav, 101, 474-483. https://doi.org/10.1016/j.chb.2018.09.031

Suma, V. (2021). Internet-of-Things (IoT) based smart agriculture in India: An overview. Journal of ISMAC, 3(1), 1-15. https://doi.org/10.36548/JISMAC.2021.1.001

Sundaresan, Y. B., & Durai, M. (2018). VEERBENCH: An intelligent computing framework for workload characterization in multi-core heterogeneous architectures. J Netw Comput Appl, 14(1), 34-51. https://www.zhangqiaokeyan.com/academic-journal-foreign_other_thesis/020411682635.html

Wang, H., & Tang, Y. (2023). Spatiotemporal distribution and influencing factors of coupling coordination between digital village and green and high-quality agricultural development—Evidence from China. Sustainability, 15(10), 8079. https://doi.org/10.3390/su15108079

Wang, Y., Wang, Z., Shuai, J., & Shuai, C. (2023). Can digitalization alleviate multidimensional energy poverty in rural China? Designing a policy framework for achieving the sustainable development goals. Sustain. Prod. Consum., 39, 466-479. https://doi.org/10.1016/j.spc.2023.05.031

Yang, Z., Ding, Y., Hao, K., & Cai, X. (2019). An adaptive immune algorithm for service-oriented agricultural Internet of Things. Neurocomputing, 344(6), 3-12. https://doi.org/10.1016/j.neucom.2018.06.094

Yue, S., Du, Y., & Zhang, X. (2021). Research and application of Agricultural Internet of Things technology in intelligent agriculture. Journal of Physics Conference Series, 1769(1), 012020. https://doi.org/10.1088/1742-6596/1769/1/012020

Zhang, C., & Liu, Z. (2019). Application of big data technology in agricultural Internet of Things. Int J Distrib Sens N, 15(10), 155014771988161. https://doi.org/10.1177/1550147719881610

Zhang, X., Cao, Z., & Dong, W. (2020). Overview of edge computing in the Agricultural Internet of Things: Key technologies, applications, challenges. IEEE Access, 8, 1-15. https://doi.org/10.1109/ACCESS.2020.3013005

Zhu, Z., Bai, Y., Dai, W. Liu, D., & Hu, Y. (2021). Quality of e-commerce agricultural products and the safety of the ecological environment of the origin based on 5G Internet of Things technology. Environ Technol Inno, 22(2), 101462. https://doi.org/10.1016/j.eti.2021.101462