Integrated modeling of the customer identification process in the banking industry using blockchain technology in line with regional planning and sustainable development

سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 100

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شناسه ملی سند علمی:

JR_IJNAA-17-3_003

تاریخ نمایه سازی: 4 خرداد 1405

چکیده مقاله:

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  [۱۹] 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.

کلیدواژه ها:

Know Your Customer (KYC) ، Blockchain ، Design Science Rsearch (DSR) ، Self-Sovereign Identity (SSI)

نویسندگان

Ali Lotfi

Department of Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Akbar Nabiollahi

Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Naser Khani

Department of Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran

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  • E. Abbasi, N. Mostafavi, and F. Ebrahimi Ordeklou, The application ...
  • F. Adib Samieh, M. Qolheki, Study of blockchain technology and ...
  • D.W. Arner, D.A. Zetzsche, R.P. Buckley, and J.N. Barberis, The ...
  • S. Azhar Hussain and Z.H. Usmani, Blockchain-based decentralized KYC (know-your-customer), ...
  • V. Chang, P. Baudier, H. Zhang, Q. Xu, J. Zhang, ...
  • B. Chobineh and A. Asadollahi, Blockchain’s impact on banking industry ...
  • M. Dakshaini, Blockchain enabled KYC solutions using hyperledger fabric, Int. ...
  • S. Dong, K. Abbas, M. Li, and J. Kamruzzaman, Blockchain ...
  • C.C. Dragan and M. Manulis, Kychain: User-controlled KYC data sharing ...
  • Financial Action Task Force (FATF) (۲۰۱۲–۲۰۱۷), International standards on combating ...
  • M.Q. Guo, First report on survey of blockchain technology: Potential ...
  • Y. Guo and C. Liang, Blockchain application and outlook in ...
  • Z. Hamidi Far, M.J. Samadi, and M. Tahrani, Sharing customer ...
  • A. Latifi Zahraand N. Amirshekhari, The role of blockchain technology ...
  • H. He, T. Nakai, A. Rizzo, and T. Shillingford, Quantification ...
  • A.R. Hevner, S.T. March, J. Park, and S. Ram, Design ...
  • L. Hughes, Y.K. Dwivedi, S.K. Misra, N.P. Rana, V. Raghavan, ...
  • C. Jia and H. Feng, Blockchain: From digital currencies to ...
  • S.K. Johansen, A comprehensive literature review on the blockchain as ...
  • N. Kapsoulis, A. Psychas, G. Palaiokrassas, A. Marinakis, A. Litke, ...
  • R. Middleton, Using blockchain for KYC/AML compliance, Available at https://www.dentons.com/en/insights/articles/۲۰۱۹/may/۲۸/using-blockchain-for-kyc-aml-compliance[۲۵] M. ...
  • S. Nakamoto, Bitcoin: A peer-to-peer electronic cash system, Available at ...
  • R. Norvill, M. Steichen, W.M. Shbair, and R. State, Blockchain ...
  • J. Parra Moyano and O. Ross, KYC optimization using distributed ...
  • J. Parra-Moyano and T. Thoroddsen, Optimised and dynamic KYC system ...
  • D. Patel, H. Suslade, J. Rane, P. Prabhu, S. Saluja, ...
  • K. Peffers, T. Tuunanen, M.A. Rothenberger, and S. Chatterjee, A ...
  • G.W. Peters and E. Panayi, Understanding Modern Banking Ledgers Through ...
  • D.D. Quang Hao, T.T. Hoa, and N.H. Dung, Factors affecting ...
  • R.B. Shashank, C. Chhabra, and N.G. Cholli, Application of blockchain ...
  • M. Siegenthaler and K. Birman, Sharing private information across distributed ...
  • N. Singhal, M.K. Sharma, S.S. Samant, P. Goswami, and Y.A. ...
  • P. Sinha and A. Kaul, Decentralized KYC system, Int. Res. ...
  • P. Solay and S. Thomas-Simonpoli, KYC analytics: Optimizing and prioritizing ...
  • N. Sundareswaran, S. Sasirekha, I.J. Louis Paul, S. Balakrishnan, and ...
  • R. Syah, M.K.M Nasution, I. Husein, Dynamic control financial supervision ...
  • Thomson Reuters, Know Your Customer (KYC) Independent Survey, Thomson Reuters, ...
  • N. Youssef, Dynamic control financial supervision (OJK) for growth customer ...
  • نمایش کامل مراجع