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Integrated modeling of the customer identification process in the banking industry using blockchain technology in line with regional planning and sustainable development | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 22 فروردین 1404 اصل مقاله (422.58 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.31941.4740 | ||
| نویسندگان | ||
| Ali Lotfi1؛ Akbar Nabiollahi* 2؛ Naser Khani1 | ||
| 1Department of Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran | ||
| 2Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran | ||
| تاریخ دریافت: 30 تیر 1402، تاریخ پذیرش: 07 آبان 1402 | ||
| چکیده | ||
| A vital element for all institutions and organisations is to identify the identity of the customer. The Customer Identification Process (KYC) is a customer identification program that verifies and records customers' identities and addresses. The customer identification process that financial institutions (FIs) are required to follow whenever they establish a financial relationship with a new customer is financially burdensome but does not add any productive value. The customer identification process is a regulatory and compliance obligation for the conventional banking and financial system to capture customer information before processing and providing any financial services. In banks, the customer identification process is embedded in the account opening forms, which allows customers to provide accurate information and ideally update them as soon as any changes in customer identification data occur. Currently, the customer identification process is carried out separately by different businesses, and the same data is provided by users to several businesses and independently verified by each of them. It will be much more efficient if the customer identification process is securely shared between organizations to provide the customer a better quality of experience (QoE). However, due to the lack of trust between organizations, this data is not shared between them, hence the need for a solution that can guarantee trust and reliability. In this research, using blockchain technology, the development of a new and native model is discussed, the purpose of which is to accelerate and improve the efficiency of the customer identification process. In this research, using the design science method (DSR) and Hevner et al.'s [19] approach, we will try to understand the situation, identify the needs and goals of the customer, provide the necessary plan, and then create a comprehensive and optimal customer identification model based on blockchain technology. | ||
| کلیدواژه‌ها | ||
| Integrated modeling؛ customer identification process؛ banking industry؛ blockchain technology؛ sustainable development | ||
| مراجع | ||
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[1] E. Abbasi, N. Mostafavi, and F. Ebrahimi Ordeklou, The application of blockchain technology in the banking industry, Second Int. Conf. New Res. Sol. Manag. Account. Econ., 2018. [2] F. Adib Samieh, M. Qolheki, Study of blockchain technology and its impact on payment systems and banking industry, 5th Nat. Defense Sci. Engin. Conf., 2018. [3] D.W. Arner, D.A. Zetzsche, R.P. Buckley, and J.N. Barberis, The identity challenge in finance: from analogue identity to digitized identification to digital KYC utilities, Eur. Bus. Organ. Law Rev. 20 (2019), 55–80. [4] S. Azhar Hussain and Z.H. Usmani, Blockchain-based decentralized KYC (know-your-customer), Int. Conf. Syst. Networks Commun., 2019. [5] V. Chang, P. Baudier, H. Zhang, Q. Xu, J. Zhang, and M. Arami, How blockchain can impact financial services–the overview, challenges and recommendations from expert interviewees, Technol. Forecast. Soc. Change 158 (2020), 120166. [6] B. Chobineh and A. Asadollahi, Blockchain’s impact on banking industry business models, 8th Ann. Conf. Electronic Bank. Payment Syst., 2018. [7] M. Dakshaini, Blockchain enabled KYC solutions using hyperledger fabric, Int. Conf. Mainstr. Block Chain Implement. (ICOMBI), IEEE, 2020, pp. 1–3. [8] S. Dong, K. Abbas, M. Li, and J. Kamruzzaman, Blockchain technology and application: An overview, PeerJ Comput. Sci. 9 (2023), e1705. [9] C.C. Dragan and M. Manulis, Kychain: User-controlled KYC data sharing and certification, Proc. 35th Ann. ACM Symp. Appl. Comput., 2020, pp. 301–307. [10] Financial Action Task Force (FATF) (2012–2017), International standards on combating money laundering and the financing of terrorism & proliferation: The FATF recommendations, FATF/OECD Paris, 2012. http://www.fatf-gafi.org/media/fatf/documents/recommendations/pdfs/FATF%20Recommendations%202012.pdf [11] D. George, A. Wani, and A. Bhatia, A blockchain-based solution to know your customer (KYC) dilemma, 2019 IEEE Int. Conf. Adv. Networks Telecommun. Syst. (ANTS), IEEE, 2019, pp. 1–6. [12] M.Q. Guo, First report on survey of blockchain technology: Potential to disrupt all industries [J], Report by Chuancai Securities Co. Ltd, 2016, pp. 1–12. [13] Y. Guo and C. Liang, Blockchain application and outlook in the banking industry, Financ. Innov. 2 (2016), no. 1, 24. [14] Z. Hamidi Far, M.J. Samadi, and M. Tahrani, Sharing customer identity information between banks based on distributed ledger, 8th Ann. Conf. Electronic Bank. Payment Syst., 2017. [In Persian] [15] www.jbs.cam.ac.uk [16] N. Lalitha and D. Soujanya, Financial sector innovations: Empowering microfinance through the application of KYC blockchain technology, Int. Conf. Digit. (ICD), IEEE, 2020, pp. 237–243. [17] A. Latifi Zahraand N. Amirshekhari, The role of blockchain technology in facilitating the process in the banking industry, 7th Ann. Conf. Electronic Bank. Payment Syst., 2016. [18] H. He, T. Nakai, A. Rizzo, and T. Shillingford, Quantification of Blockchain Benefits for AML / KYC, Settlement Costs and Underwriting Spread, Research Collaboration Between Cambridge University and Hashstacs Cambridge, 2020. [19] A.R. Hevner, S.T. March, J. Park, and S. Ram, Design science in information systems research, Manag. Inf. Syst. Quart. 28 (2008), no. 1, 75–105. [20] L. Hughes, Y.K. Dwivedi, S.K. Misra, N.P. Rana, V. Raghavan, and V. Akella, Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda, Int. J. Inf. Manag. 49 (2019), 114–129. [21] C. Jia and H. Feng, Blockchain: From digital currencies to credit society [M], CITIC Publishing Group, Beijing, China, 2016. [22] S.K. Johansen, A comprehensive literature review on the blockchain as a technological enabler for innovation, Dept. of Information Systems, Mannheim University, Germany, 2018, pp. 1–29. [23] N. Kapsoulis, A. Psychas, G. Palaiokrassas, A. Marinakis, A. Litke, and T. Varvarigou, Know your customer (KYC) implementation with smart contracts on a privacy-oriented decentralized architecture, Future Internet 12 (2020), no. 2, 41. [24] R. Middleton, Using blockchain for KYC/AML compliance, Available at https://www.dentons.com/en/insights/articles/2019/may/28/using-blockchain-for-kyc-aml-compliance [25] M. Mohamed Rafik and T. Ananth Kumar, Blockchain technology: An insight into architecture, use cases, and its application with industrial IoT and big data, Blockchain Technology, CRC Press, 2019, pp. 23–42. [26] S. Nakamoto, Bitcoin: A peer-to-peer electronic cash system, Available at https://static.upbitcare.com/931b8bfc[1]f0e0-4588-be6e-b98a27991df1.pdf [27] J.L. Ngai, Q. John, and N. Zhou, Blockchain—disrupting the rules of the banking industry [J], Rep. McKinsey 5 (2016). [28] R. Norvill, M. Steichen, W.M. Shbair, and R. State, Blockchain for the simplification and automation of KYC result sharing, IEEE Int. Conf. Blockchain Cryptocurrency (ICBC), IEEE, 2019, pp. 9–10. [29] J. Parra Moyano and O. Ross, KYC optimization using distributed ledger technology, Bus. Inf. Syst. Engin. 59 (2017), 411–423. [30] J. Parra-Moyano and T. Thoroddsen, Optimised and dynamic KYC system based on blockchain technology, Int. J. Blockchains Cryptocurrenc. 1 (2019), no. 1, 85–106. [31] D. Patel, H. Suslade, J. Rane, P. Prabhu, S. Saluja, and Y. Busnel, KYC as a service (kase)—a blockchain approach, Adv. Machine Learn. Comput. Intell.: Proc. ICMLCI 2019, Springer, 2021, pp. 795–803. [32] K. Peffers, T. Tuunanen, M.A. Rothenberger, and S. Chatterjee, A design science research methodology for information systems research, J. Manag. Inf. Syst. 24 (2008), no. 3, 45–77. [33] G.W. Peters and E. Panayi, Understanding Modern Banking Ledgers Through Blockchain Technologies: Future of Transaction Processing and Smart Contracts on the Internet of Money, Springer, 2016. [34] D.D. Quang Hao, T.T. Hoa, and N.H. Dung, Factors affecting customers’ acceptance of the adoption of blockchain technology at Dong a commercial joint stock bank, Hue branch, Hue Univ. J. Sci.: Econ. Dev. 129 (2020), no. 5A, 5–16. [35] R.B. Shashank, C. Chhabra, and N.G. Cholli, Application of blockchain in KYC compliance, Eur. J. Engin. Technol. Res. 5 (2020), no. 7, 781–784. [36] M. Siegenthaler and K. Birman, Sharing private information across distributed databases, Eighth IEEE Symp. Network Comput. Appl., IEEE, 2009, pp. 82–89. [37] N. Singhal, M.K. Sharma, S.S. Samant, P. Goswami, and Y.A. Reddy, Smart KYC using blockchain and IPFS, Adv. Cybernet. Cogn. Machine Learn. Commun. Technol., 2020, pp. 77–84. [38] P. Sinha and A. Kaul, Decentralized KYC system, Int. Res. J. Engin. Technol. 5 (2018), no. 8, 1209–1210. [39] P. Solay and S. Thomas-Simonpoli, KYC analytics: Optimizing and prioritizing the client onboarding and recertification with P& L-linked triggers, Global Research and Analytics Department, 2020. [40] N. Sundareswaran, S. Sasirekha, I.J. Louis Paul, S. Balakrishnan, and G. Swaminathan, Optimised KYC blockchain system, Int. Conf. Innov. Trends Inf. Technol., IEEE, 2020, pp. 1–6. [41] R. Syah, M.K.M Nasution, I. Husein, Dynamic control financial supervision (OJK) for growth customer behavior using KYC system, Int. J. Adv. Sci. Technol. 28 (2020), no. 8, 1110–1119. [42] Thomson Reuters, Know Your Customer (KYC) Independent Survey, Thomson Reuters, New York, 2017. [43] N. Youssef, Dynamic control financial supervision (OJK) for growth customer behavior using KYC system, Council of Arab Central Banks, Monetary Authorities Governors, 2020. | ||
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