مدیریت دانش در صنعت بانکداری و مالی: سهم فناوری‌های انقلاب صنعتی چهارم

نوع مقاله : فناوری(سیستم اطلاعاتی مدیریت، مدیریت دانش، برون سپاری، سیاستگذاری فناوری، انتقال فناوری، اکوسیستم فناوری، تجاری‌سازی فناوری، فناوری‌های پیشرفته، . . . )

نویسندگان

گروه مدیریت، دانشکده مدیریت و علوم نظامی، دانشگاه امام علی(ع)- تهران، ایران

چکیده

فناوری‌های انقلاب صنعتی چهارم، تسهیل کننده اقدامات مدیریت دانش در صنعت بانکداری و مالی محسوب می‌شوند. لذا لازم است بسترها و ساز‌و‌کارهای مناسبِ بهره‌گیری از این فناوری-ها در حوزه‌های بانکداری ایجاد شود. در این تحقیق از طریق فن دلفی و در سه مرحله، کاربرد فناوری‌های نوظهور با محوریت انقلاب صنعتی چهارم در صنعت بانکداری و مالی شناسایی شده است. اعضای پنل متشکل از 10 خبره حوزه فناوری اطلاعات و مالی بود که پس از اجماع ایشان، تعداد 17 فناوری نوظهور اطلاعاتی در بخش بانکی و مالی شناسایی و رتبه آنها از طریق آزمون کندال تعیین شد. این فناوری‌ها به ترتیب رتبه عبارت‌اند از کلان‌داده، سیستم تشخیص هویت زیستی، فناوری‌های کشف کلاه‌برداری، خودپرداز بدون لمس، داده‌کاوی، رایانش ابری، بازاریابی کانال همه‌کاره، هوش مصنوعی، فین‌تک، بیومتریک، بلاکچین، شبکه-های اجتماعی هوشمند، شبکه‌های عصبی مصنوعی، فناوری‌های پایش از دور، هوش تجاری، اینترنت اشیاء و حساب دیجیتال. سپس توسط این خبرگان، میزان کاربرد این فناوری‌ها در چهارحوزه بانکداری یعنی بازاریابی، منابع انسانی، مدیریت‌ریسک و مشتری‌مداری در یک طیف سه درجه‌ای(کم، متوسط، زیاد) مشخص شده است. بر اساس نظر خبرگان، تمامی فناوری‌های شناسایی شده کاربرد متوسط به بالایی در چهار حوزه بانکداری دارند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Knowledge Management in Banking and Financial Industry: Share of Fourth Industrial Revolution Technologies

نویسندگان [English]

  • asghar mohammadi fateh
  • mohammad mehdi
  • Ali asghar Salarnejad
Department of Management, Faculty of Management and Military Sciences, Imam Ali University - Tehran, Iran
چکیده [English]

The technologies of the Fourth Industrial Revolution facilitate knowledge management practices in the banking and financial industry. Therefore, it is necessary to create appropriate platforms and mechanisms for using these technologies in the field of banking. In this research, through Delphi technique and in three stages, the application of emerging technologies with the focus on of Industry 4.0 technologies in the banking and financial industry has been identified. The panel members consisted of 10 experts in the field of information technology and finance. After their consensus, 17 emerging information technologies in the banking and financial sector were identified and their rank was determined through the Kendall test. These technologies include: data mining, bio-identification system, fraud detection technologies, touchless ATM, data mining, cloud computing, Omni-Channel Marketing, artificial intelligence, fintech, Biometric, Block chain, Intelligent Social Networks, Artificial Neural Networks, Remote Monitoring technologies, Business Intelligence, IoT and Digital Accounts. Then, by these experts, the application of these technologies in four areas of banking, namely marketing, human resources, risk management and customer orientation in a three-tier range (low, medium, high) has been determined According to experts, all identified technologies have medium to high application in four areas of banking.

کلیدواژه‌ها [English]

  • Knowledge management
  • industry
  • banking
  • technology
  • financial industry
Ahqari, Y. (2020). How does machine
learning help detect fraud? Viewed
on 4 April 1400 at: way.ir2pay .(In
Persian)
Amachandran, I. Lengnick-Hall, C.A. and
Badrinarayanan, V. (2019). Enabling
and leveraging ambidexterity:
influence of strategic orientations
and knowledge stock, Journal of
Knowledge Management,
doi.org/10.1108/JKM-11-2018-0688.
Asadollahi, A & Choobineh, B. (2018). The
impact of China Bloc on industry
business models. 8th Annual
Conference on Electronic Banking
and Payment Systems. civilica.co .
(In Persian)
Bakunova, T.V., Trofimova, E.A, and
Lapteva, E.V.(2019). Proceedings of
the International Scientific and
Practical Conference on Digital
Economy. Advances in Economics,
Business and Management
Research, volume 105
Bohlin, Er. & Shaikh, A. & Hanafizadeh, P.
(2018). Social Network Banking: A
Case Study of 100 Leading Global
Banks. International Journal of eBusiness Research. 14(2): 1-13.
DOI: 10.4018/IJEBR.2018040101
Bordeleau, F., Mosconi, E. & Santa-Eulalia,
L.A. (2018). Business Intelligence in
Industry 4.0: State of the art and
research opportunities
DOI: 10.24251/HICSS.2018.495
Cristi, S., Birau, .R., Yazdi, A.K. Mehdiabadi,
A.(2020). Are We Ready for the
Challenge of Banks 4.0? Designing a
Roadmap for Banking Systems in
Industry 4.0. International Journal
of Financial Studies. 2020, 8, 32;
doi:10.3390/ijfs8020032
Cui, X. (2017). In-and extra-role knowledge
sharing among information
technology professionals: The fivefactor model perspective.
International Journal of
Information Management, 37(5),
380-389.
Dayan, R., Heisig, P., and Matos, F.
(2017).Knowledge management as a
factor for the formulation and
implementation of organization
strategy. Journal of Knowledge
Management 21(2): 308-329.
DigalakI, E. (2021). The impact of artificial
intelligence in the banking sector &
how AI is being used in 2021.
Available at:
www.businessinsider.com
545
دوره .14 شماره .27 بهار و تابستان .1401 صفحات 517 تا .546
پژوهشنامه مدیریت اجرایی
Journal of Executive Management
اصغر محمدی فاتح، علی اصغر ساالرنژاد، محمد مهدی. مدیریت دانش در صنعت بانکداری و مالی: سهم فناوریهای انقالب صنعتی چهارم
EasaFathi, N. (2019). Knowledge
Management at Banking Industry: A
Review of the Literature.
International Journal of Customer
Relationship Marketing and
Management. 10. 21-34.
10.4018/IJCRMM.2019040102.
Erickson, s & Rothberg H. (2018) .Big Data
and Knowledge Management:
Establishing a Conceptual
Foundation” The Journal of
Knowledge Management. 12(2):
(pp108-116)
Fakuri, M. (2018). Biometric authentication
is a way to secure the offline
services of banks. Available at
mehrnews.com. (In Persian)
Goode, A.(2018). Biometrics for banking:
best practices and barriers to
adoption. Available at
mabnaa.com /
Hales, A. (2019). Emerging Technology
Trends for Banking Industry in
2020 & Beyond. Available at:
towardsdatascience.com
Hasan, M.; Popp, J. and Olah J. (2020).
Current landscape and infuence
of big data on fnance.journal of big
data. 7(21), (2020).
Intezari,A. & Gressel,S. (2017).Information
and reformation in KM systems: big
data and strategic decisionmaking,Journal of Knowledge
Management, 21(1), pp.71-91Iyer,
A.P., Karthikeyan, J., Hasan Khan,
R.& Binu,P.M.(2020). An alalysis of
artificial intelligence in biometricsthe next level of security. Journal of
Critical Reviews. 7(1).
Jin, M., Wang, Y., & Zeng, Y.(2018).
Application of data mining
technology in financial risk.
Wireless Pers Commun.
2018.:doi.org/10.1007/s1127 7-018-
5402-5.
Kharazi, H. (2018). Warning for banks!
Fintechs enter the realm of current
accounts and cash cards. Viewed
on 6 April 1400 at way2pay.ir . .(In
Persian)
Kornitzer ,D. (2020). COVID-19: The
contactless payment catalyst?
Available at:
www.atmmarketplace.com.
Mladenovic, S. (2018). Banking Industry
4.0: Robotic Automation as an
Answer to the Challenges of
Tomorrow. Available online:
www.comtradeintegration.com
Mohammed, W., & Jalal, A. (2011). The
influence of knowledge
management system (KMS) on
enhancing decision making process
(DMP). International Journal of
Business and Management, 6(8),
216–229.
doi:10.5539/ijbm.v6n8p216.
Mochtan, AKB. (2020). KNOWLEDGE
MANAGEMENT FACILITATORS’
GUIDET. The Asian Productivity
organization
Nara,B.E.O., Costa,M.B.D., Baierle,I.S.,
Schaefer,J.L., Benitez,G.B.,
Santos,S. and Benitez,L.B.(2020).
Expected impact of industry 4.0
technologies on sustainable
development: A study in the
context of Brazil’s plastic industry.
Sustainable Production and
Consumption. 25 (2021) 102–122
Nasaruddin, F. (2008).Application of
Knowledge Management in
546
دوره .14 شماره .27 بهار و تابستان .1401 صفحات 517 تا .546
پژوهشنامه مدیریت اجرایی
Journal of Executive Management
اصغر محمدی فاتح، علی اصغر ساالرنژاد، محمد مهدی. مدیریت دانش در صنعت بانکداری و مالی: سهم فناوریهای انقالب صنعتی چهارم
Malaysian Banks: a Preliminary
Study. www.semanticscholar.org
Narrainen, D. (2014). Preliminary
Assessment of Knowledge
Management Initiatives in Banks –
The Case of Mauritius. Internat
-ional Journal of Recent Advances in
Organizational Behaviour and
Decision Sciences. 1(1): January 2014
Niazmand, N. (2015). The impact of Cloud
Computing in the banking industry
resources. International Journal of
Information, Security and Systems
Management, 4(2), 436-440.
Novikov, D. (2019). Connected Finances:
When the Internet of Things Goes
to the Bank. Available at:
www.finextra.com
Nurluoz, Ö & Birol, C. (2011). The impact of
knowledge management and
technology: An analysis of
administrative behaviours. Journal
of Educational Technology. 10(1):
202-208.
Liébana-Cabanillas, F., Nogueras, R.,
Herrera, L. J., & Guillén, A. (2013).
Analysing user trust in electronic
banking using data mining
methods. Expert Systems with
Applications, 40(14), 5439-5447.
Osmani, M., El-Haddadeh,R., Hindi, N.,
Janssen,M. & Weerakkody,V.
(2020). Blockchain for next
generation services in banking and
finance: cost, benefit, risk and
opportunity analysis, Journal of
Enterprise Information Management,
ahead-of-print
doi.org/10.1108/JEIM-02-2020-
0044 .
Rezaei, S., Mir Abedini, S.J, Abtahi, A.
(2018). Factors affecting business
intelligence in the Iranian banking
industry. Intelligent Business
Management Studies. 23(6), pp. 33-
81(In Persian)
Roy, S. (2019). What’s next: Neural
networks in financial services: a
RESEARCH REPORT. Available at:
accenture.com.
RYAN, Kh. (2018). How big data can play an
essential role in Fintech
Evolutionno title. Smart Dala
Collective. Available at: www.smart
datacollective.com.
Saravanan, K., and Muthu, L. (2016). A
Study on Banking Services of New
Generation Banking in the Indian
Banking Sector. UGC CARE Journal
31: 552–61.
Speight, S. (2017).Learning for
sustainability in the digital world,
On the Horizon, 25(1), pp. 1 – 3.
Verkada. (2020). Remote Monitoring for
Banks and Financial Service
Providers. Available at:
info.verkada.com.
Vosough, M., Taghavi Fard, M., Alborzi, M.
(2015). Bank card fraud detection
using artificial neural
network. Journal of Information
Technology Management, 6(4), 721-
746.
Zhao, X. (2003). Developing environmental
performance indicators, the case of
Norfolk & Norwich university
hospital. Thesis presented in partfulfilment of the degree of Master
of Science in accordance with the
regulations of the University of East
Anglia.