SOCIAL NETWORK ANALYSIS OF MANGOSTEEN TECHNOLOGY DEVELOPMENT CLUSTER IN INDONESIA BASED ON PATENT DOCUMENT APPLICATION

Aris Yaman, Yulia Aris Kartika, Silmi Tsurayya, Adi Ankafia, Lindung Parningotan Manik, Zaenal Akbar, Ariani Indrawati

Abstract


Functional food consumption is on the rise and has a significant market value. Indonesia is one of the largest mangosteens (a functional food source commodity) exporting countries globally. Unfortunately, the mangosteen export is still in fresh fruit condition, not in other forms that have a higher value. Policymakers need to identify critical technologies in the development of mangosteen commodities. This study uses a patent-based technology document analysis method to map the potential of technology. The data used is patent data that has been registered with the Indonesian Patent Office and the WIPO Patentscope database. The analysis was carried out using computational methods, namely a Social Network Analysis with the Girvan-Newman algorithm. According to the study's findings based on global patent data, there are three major technology clusters used in mangosteen patents: 1) 24 percent for technology related to developing preparations for medical, dental, or toilet purposes (A61K). 2) 20% for food and food ingredient technology or non-alcoholic beverages (A23L). The remaining 43 percent is spread across many other IPC technology codes, including technology related to drug preparations (A61P). It is in line with the results of patent data analysis in Indonesia, which also shows that there are three dominant technology groups applied to mangosteen in Indonesia, namely 1) Technology related to the development of medical, dental, and toilet technology (A61K) of 47 percent; 2) Technology related to food and food ingredients or non-alcoholic drinks (A23L) by 18 percent, and 3) Technology related to drug preparations (A61P) by 13 percent and the remaining 22 percent spread over several other IPC technology codes. According to Social Network Analysis, the world's dominant technology cluster for mangosteen is technology related to the development of food and food ingredients or non-alcoholic beverages (A23L). The technology associated with medical, dental, and toilet technology is the most important mangosteen technology cluster in Indonesia (A61K).


Keywords


Functional Food; Mangosteen; Patent; Patent Cluster; Social Network Analysis

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References


Ali, A., & Rahut, D. B. (2019). Healthy foods as proxy for functional foods: Consumers’ awareness, perception, and demand for natural functional foods in Pakistan. International Journal of Food Science, 2019. https://doi.org/10.1155/2019/6390650

Alongi, M., & Anese, M. (2021). Re-thinking functional food development through a holistic approach. Journal of Functional Foods, 81(December 2020), 104466. https://doi.org/10.1016/j.jff.2021.104466

Badan Pusat Statistik. (2016). Statistik tanaman buah-buahan dan sayuran tahunan. Badan Pusat Statistik.

Banwo, K., Olojede, A. O., Adesulu-Dahunsi, A. T., Verma, D. K., Thakur, M., Tripathy, S., Singh, S., Patel, A. R., Gupta, A. K., Aguilar, C. N., & Utama, G. L. (2021). Functional importance of bioactive compounds of foods with Potential Health Benefits: A review on recent trends. Food Bioscience, 43(May), 101320. https://doi.org/10.1016/j.fbio.2021.101320

Betoret, E., Betoret, N., Vidal, D., & Fito, P. (2011). Functional foods development: Trends and technologies. Trends in Food Science and Technology, 22(9), 498–508. https://doi.org/10.1016/j.tifs.2011.05.004

Bigliardi, B., & Galati, F. (2013). Innovation trends in the food industry: The case of functional foods. Trends in Food Science and Technology, 31(2), 118–129. https://doi.org/10.1016/j.tifs.2013.03.006

C. Prell. (2012). Social network analysis: History, theory and methodology. In Singapore: SAGE.

Deliverable, D., Simon, J., Wagner, I., Zupan, I., & Dall, E. (2015). Co-publication and co-patenting analysis among countries in the Danube Region Contributors.

Despalatovic, L., Vojkovic, T., & Vukicevic, D. (2014). Community structure in networks : Girvan-Newman algorithm improvement. MIPRO 2014, May, 26–30.

Domínguez Díaz, L., Fernández-Ruiz, V., & Cámara, M. (2020). An international regulatory review of food health-related claims in functional food products labeling. Journal of Functional Foods, 68(December 2019), 103896. https://doi.org/10.1016/j.jff.2020.103896

Gherasim, A., Arhire, L. I., Nițǎ, O., Popa, A. D., Graur, M., & Mihalache, L. (2020). The relationship between lifestyle components and dietary patterns. Proceedings of the Nutrition Society, 79(3), 311–323. https://doi.org/10.1017/S0029665120006898

Jain, S., Sharma, K., & Khadke, M. (2014). “ Consumer behavior towards functional foods in india- a study of market drivers & challenges .” IOSR Journal of Business and Management, 33–40.

Kusumayanti, H., Triaji, R., & Bagus, S. (2016). Pangan fungsional dari tanaman lokal Indonesia. 12(1), 26–30.

Lu, L. Y. Y., & Liu, J. S. (2016). Technological forecasting & social change a novel approach to identify the major research themes and development trajectory : The case of patenting research. Technological Forecasting & Social Change, 103, 71–82. https://doi.org/10.1016/j.techfore.2015.10.018

Lv, L., Han, T., Zhao, Y., Wang, X., & Zhao, P. (2018). Identification and analysis of converging technology based on patent co-classification relationship. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 363–364. https://doi.org/10.1145/3197026.3203903

Salamati, P., & Soheili, F. (2016). Social network analysis of Iranian researchers in the field of violence. Chinese Journal of Traumatology, 19(5), 4–10. https://doi.org/10.1016/j.cjtee.2016.06.008

Su, F. P., Chen, S. J., Chang, Y. H., & Lai, K. K. (2019). Construct a three-stage analysis model of integrated main path analysis and patent family-exploring the development of blockchain. ACM International Conference Proceeding Series, 151–156. https://doi.org/10.1145/3374549.3374583

Tseng, Y., Lin, C., & Lin, Y. (2007). Text mining techniques for patent analysis. 43, 1216–1247. https://doi.org/10.1016/j.ipm.2006.11.011

WHO. (2021). Healthy diet. WHO. https://www.who.int/initiatives/behealthy/healthy-diet

WIPO. (2018). Guide to the International Patent Classification. WIPO (World Intellectual Property Organization). https://www.wipo.int/export/sites/www/classifications/ipc/en/guide/guide_ipc.pdf.

Xie, Z., Sintara, M., Chang, T., & Ou, B. (2015). Daily consumption of a mangosteen-based drink improves in vivo antioxidant and anti-inflammatory biomarkers in healthy adults: A randomized, double-blind, placebo-controlled clinical trial. Food Science and Nutrition, 3(4), 342–348. https://doi.org/10.1002/fsn3.225

Xu, S. (2013). Network structural analysis of technology: a study from patent perspective. Journal Science and Technology Policy in China, 4, 214–235. https://doi.org/10.1108/JSTPC-01-2013-0001

Yaman, A. (2016a). Actors determination strategy in registered social network patents in the framework of rewards towards inventors a case study : LIPI registered patents 2016. 9213.

Yaman, A. (2016b). Actors determination strategy in registered social network patents in the framework of rewards towards inventors a case study: LIPI registered patents 2016. JKAP (Jurnal Kebijakan Dan Administrasi Publik), 20(2), 64. https://doi.org/10.22146/jkap.22371

Yaman, A. (2017). Analisis jaringan sosial pada artikel terkaiut usaha kecil dan menengah di Indonesia. BACA, 38, 15–26.

Yu, G. (2007). Communications of the IIMA social network analysis based on BSP clustering algorithm. 7(4).

Yu, X., & Zhang, B. (2019). Obtaining advantages from technology revolution: A patent roadmap for competition analysis and strategy planning. Technological Forecasting and Social Change, 145(April), 273–283. https://doi.org/10.1016/j.techfore.2017.10.008

Zhang, Y., Guo, Y., Wang, X., Zhu, D., & Porter, A. L. (2013). A hybrid visualisation model for technology roadmapping: Bibliometrics, qualitative methodology and empirical study. Technology Analysis and Strategic Management, 25(6), 707–724. https://doi.org/10.1080/09537325.2013.803064




DOI: https://doi.org/10.14203/j.baca.v43i1.828

Data citation

Yaman, Aris; Kartika, Yulia Aris; Tsurayya, Silmi; Ankafia, Adi; Manik, Lindung Parningotan; Akbar, Zaenal; Indrawati, Ariani, 2022, "SOCIAL NETWORK ANALYSIS OF MANGOSTEEN TECHNOLOGY DEVELOPMENT CLUSTER IN INDONESIA BASED ON PATENT DOCUMENT APPLICATION", https://hdl.handle.net/20.500.12690/RIN/JJQ034, RIN Dataverse, DRAFT VERSION





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