IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v17y2024i5p188-d1387561.html
   My bibliography  Save this article

Revolutionizing Banking: Neobanks’ Digital Transformation for Enhanced Efficiency

Author

Listed:
  • Riris Shanti

    (School of Business, IPB University, Bogor 16151, Indonesia)

  • Hermanto Siregar

    (Department of Economics, Faculty of Economics and Management, IPB University, Bogor 16680, Indonesia)

  • Nimmi Zulbainarni

    (School of Business, IPB University, Bogor 16151, Indonesia)

  • Tony

    (Indonesia Financial Services Authority, Jakarta 10350, Indonesia)

Abstract

Changes in customer behaviors after the COVID-19 pandemic have encouraged the transformation of banking systems. Neobanks have emerged as an innovation and entered the banking system to compete with traditional banks by offering new customer experiences. Neobanks transform traditional banking products and services which are delivered through physical interactions into those delivered via digital channels. This paper analyzes traditional banks that have transformed into neobanks, specifically their efficiency after digital transformation. Efficiency was measured using Stochastic Frontier Analysis (SFA), as it is highly accurate in estimating efficiency scores. This study also used a Pooled Mean Group (PMG) estimation of the Panel ARDL (Autoregressive Distributed Lag), as this approach is useful for analyzing the relationship between variables in panel data, to investigate digital transformation as a determinant of neobanks’ efficiency and examine the existence of short-term and long-term relationships between digital transformation and efficiency. We found that the efficiency of neobanks increases after digital transformation. Furthermore, it can be concluded that digital transformation is a determinant of efficiency and that there is long-term relationship between digital transformation and efficiency. In the short term, digital transformation has a significant negative correlation with efficiency, but in the long term, it has a significant positive relationship; this is because the cost of digital transformation initially decreases the profit efficiency, but afterwards, it increases the efficiency.

Suggested Citation

  • Riris Shanti & Hermanto Siregar & Nimmi Zulbainarni & Tony, 2024. "Revolutionizing Banking: Neobanks’ Digital Transformation for Enhanced Efficiency," JRFM, MDPI, vol. 17(5), pages 1-21, May.
  • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:5:p:188-:d:1387561
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/17/5/188/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/17/5/188/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pierri, Nicola & Timmer, Yannick, 2022. "The importance of technology in banking during a crisis," Journal of Monetary Economics, Elsevier, vol. 128(C), pages 88-104.
    2. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    3. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    4. Maik Dehnert, 2020. "Sustaining the current or pursuing the new: incumbent digital transformation strategies in the financial service industry," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1071-1113, November.
    5. M. Bahmani-Oskooee & S. Chomsisengphet, 2002. "Stability of M2 money demand function in industrial countries," Applied Economics, Taylor & Francis Journals, vol. 34(16), pages 2075-2083.
    6. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    2. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    3. Williams, Jonathan, 2004. "Determining management behaviour in European banking," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2427-2460, October.
    4. Cristian BARRA & Roberto ZOTTI, 2019. "Bank Performance, Financial Stability And Market Concentration: Evidence From Cooperative And Non‐Cooperative Banks," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 90(1), pages 103-139, March.
    5. Sandrine Kablan & Ouidad Yousfi, 2015. "Performance of Islamic Banks across the World: An Empirical Analysis over the Period 2001-2008," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(1), pages 27-46.
    6. repec:use:tkiwps:3232 is not listed on IDEAS
    7. Barros, Carlos Pestana & Ferreira, Candida & Williams, Jonathan, 2007. "Analysing the determinants of performance of best and worst European banks: A mixed logit approach," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2189-2203, July.
    8. Mohamed E. Chaffai, 2022. "New evidence on Islamic and conventional bank efficiency: A meta‐regression analysis," Bulletin of Economic Research, Wiley Blackwell, vol. 74(1), pages 221-246, January.
    9. Miguel SARMIENTOO & Andrés CEPEDA & Hernando MUTIS & Juan F. PÉREZ, 2013. "Nueva Evidencia sobre la Eficiencia de la Banca," Archivos de Economía 10705, Departamento Nacional de Planeación.
    10. repec:ipg:wpaper:2014-448 is not listed on IDEAS
    11. Miguel Boucinha & Nuno Ribeiro & Thomas Weyman-Jones, 2013. "An assessment of Portuguese banks’ efficiency and productivity towards euro area participation," Journal of Productivity Analysis, Springer, vol. 39(2), pages 177-190, April.
    12. Raulin Lincifort Cadet, 2015. "Cost and profit efficiency of banks in Haiti: do domestic banks perform better than foreign banks?," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 6(1), pages 37-52.
    13. Hsing-Chin Hsiao & Mei-Hwa Lin, 2013. "Taiwan second financial restructuring and commercial bank productivity growth," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 12(4), pages 327-350, October.
    14. Cristina Bernini & Paola Brighi, 2011. "Relationship Lending, Distance and Efficiency in a Heterogeneous Banking System," Working Paper series 41_11, Rimini Centre for Economic Analysis.
    15. Christopoulos, Dimitris K. & McAdam, Peter, 2019. "Efficiency, Inefficiency, And The Mena Frontier," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 489-521, March.
    16. Jorge David Quinteo Otero & William Orlando Prieto Bustos & Fernando Barrios Aguirre & Laura Elena Leviller Guardo, 2008. "Determinantes de la eficiencia técnica en las empresas colombianas, 2001-2004," Revista Semestre Económico, Universidad de Medellín, November.
    17. Koutsomanoli-Filippaki, Anastasia & Mamatzakis, Emmanuel & Staikouras, Christos, 2009. "Structural reforms and banking efficiency in the new EU States," Journal of Policy Modeling, Elsevier, vol. 31(1), pages 17-21.
    18. Francesco Aiello & Graziella Bonanno, 2018. "Multilevel empirics for small banks in local markets," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1017-1037, November.
    19. Mamonov, Mikhail & Vernikov, Andrei, 2015. "Bank ownership and cost efficiency in Russia, revisited," BOFIT Discussion Papers 22/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    20. Richard Adjei Dwumfour & Eric Fosu Oteng-Abayie & Emmanuel Kwasi Mensah, 2022. "Bank efficiency and the bank lending channel: new evidence," Empirical Economics, Springer, vol. 63(3), pages 1489-1542, September.
    21. Dong Xiang & Abul Shamsuddin & Andrew C Worthington, 2011. "A comparative technical, cost and profit efficiency analysis of Australian, Canadian and UK banks: Feasible efficiency improvements in the context of controllable and uncontrollable factors," Discussion Papers in Finance finance:201119, Griffith University, Department of Accounting, Finance and Economics.
    22. Jiang, Chunxia & Yao, Shujie & Feng, Genfu, 2013. "Bank ownership, privatization, and performance: Evidence from a transition country," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3364-3372.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:17:y:2024:i:5:p:188-:d:1387561. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.