IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v60y2022ics0275531922000046.html

Some searches may not work properly. We apologize for the inconvenience.

   My bibliography  Save this article

Artificial intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakeholder cognition-driven framework

Author

Listed:
  • Rodrigues, Ana Rita D.
  • Ferreira, Fernando A.F.
  • Teixeira, Fernando J.C.S.N.
  • Zopounidis, Constantin

Abstract

Traditional banking institutions are currently under great pressure from their stakeholders to adapt to new technologies. However, due to this sector’s inherent nature, data security cannot be jeopardized. Users must place great trust in their bank branches—a necessary feature of relationships between banking institutions and their clients. Banks’ reputation also directly affects their success, ability to attract new customers, and retention of existing ones. These issues mean that making decisions regarding how to deal with the challenges of incorporating artificial intelligence (AI), digital transformation and cybersecurity into the banking sector is quite complex. This study sought to develop a realistic decision-support model by combining cognitive mapping and the decision-making trial and evaluation laboratory (DEMATEL) method in order to address this topic. Group sessions with an expert panel were conducted to apply the methodological procedures, thereby allowing realism to be incorporated into the final results.

Suggested Citation

  • Rodrigues, Ana Rita D. & Ferreira, Fernando A.F. & Teixeira, Fernando J.C.S.N. & Zopounidis, Constantin, 2022. "Artificial intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakeholder cognition-driven framework," Research in International Business and Finance, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:riibaf:v:60:y:2022:i:c:s0275531922000046
    DOI: 10.1016/j.ribaf.2022.101616
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531922000046
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2022.101616?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Smith, Chris M. & Shaw, Duncan, 2019. "The characteristics of problem structuring methods: A literature review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 403-416.
    2. Eden, Colin & Ackermann, Fran, 2004. "Cognitive mapping expert views for policy analysis in the public sector," European Journal of Operational Research, Elsevier, vol. 152(3), pages 615-630, February.
    3. Benoit, Sylvain & Hurlin, Christophe & Pérignon, Christophe, 2019. "Pitfalls in systemic-risk scoring," Journal of Financial Intermediation, Elsevier, vol. 38(C), pages 19-44.
    4. Maurice W. Kirby, 2007. "Paradigm Change in Operations Research: Thirty Years of Debate," Operations Research, INFORMS, vol. 55(1), pages 1-13, February.
    5. S Bell & S Morse, 2013. "Groups and facilitators within problem structuring processes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(7), pages 959-972, July.
    6. Joana S. R. Correia & Ieva Meidutė-Kavaliauskienė & Leandro F. Pereira & Constantin Zopounidis & Ricardo J. C. Correia, 2020. "Factors Influencing Urban Investment Attractiveness: An Fcm-Sd Approach," Post-Print hal-02880085, HAL.
    7. Oliveira, Pedro & von Hippel, Eric, 2011. "Users as service innovators: The case of banking services," Research Policy, Elsevier, vol. 40(6), pages 806-818, July.
    8. He, Dongwei & Ho, Chun-Yu & Xu, Li, 2020. "Risk and return of online channel adoption in the banking industry," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    9. Mingers, John, 2011. "Soft OR comes of age--but not everywhere!," Omega, Elsevier, vol. 39(6), pages 729-741, December.
    10. Maria Demertzis & Silvia Merler & Guntram B Wolff, 2018. "Capital Markets Union and the Fintech Opportunity," Journal of Financial Regulation, Oxford University Press, vol. 4(1), pages 157-165.
    11. Shaikh, Aijaz A. & Glavee-Geo, Richard & Karjaluoto, Heikki, 2017. "Exploring the nexus between financial sector reforms and the emergence of digital banking culture – Evidences from a developing country," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1030-1039.
    12. Wall, Larry D., 2018. "Some financial regulatory implications of artificial intelligence," Journal of Economics and Business, Elsevier, vol. 100(C), pages 55-63.
    13. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75002, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Lee, In, 2017. "Big data: Dimensions, evolution, impacts, and challenges," Business Horizons, Elsevier, vol. 60(3), pages 293-303.
    15. Paucar-Caceres, Alberto, 2010. "Mapping the changes in management science: A review of 'soft' OR/MS articles published in Omega (1973-2008)," Omega, Elsevier, vol. 38(1-2), pages 46-56, February.
    16. Henriques de Gusmão, Ana Paula & Mendonça Silva, Maisa & Poleto, Thiago & Camara e Silva, Lúcio & Cabral Seixas Costa, Ana Paula, 2018. "Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory," International Journal of Information Management, Elsevier, vol. 43(C), pages 248-260.
    17. Christian Matt & Thomas Hess & Alexander Benlian, 2015. "Digital Transformation Strategies," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(5), pages 339-343, October.
    18. Dranev, Yury & Frolova, Ksenia & Ochirova, Elena, 2019. "The impact of fintech M&A on stock returns," Research in International Business and Finance, Elsevier, vol. 48(C), pages 353-364.
    19. Saarikko, Ted & Westergren, Ulrika H. & Blomquist, Tomas, 2020. "Digital transformation: Five recommendations for the digitally conscious firm," Business Horizons, Elsevier, vol. 63(6), pages 825-839.
    20. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75202, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    21. Nemet, Gregory F., 2009. "Demand-pull, technology-push, and government-led incentives for non-incremental technical change," Research Policy, Elsevier, vol. 38(5), pages 700-709, June.
    22. Königstorfer, Florian & Thalmann, Stefan, 2020. "Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    23. Drasch, Benedict J. & Schweizer, André & Urbach, Nils, 2018. "Integrating the ‘Troublemakers’: A taxonomy for cooperation between banks and fintechs," Journal of Economics and Business, Elsevier, vol. 100(C), pages 26-42.
    24. Benoit, Sylvain & Hurlin, Christophe & Pérignon, Christophe, 2019. "Pitfalls in systemic-risk scoring," Journal of Financial Intermediation, Elsevier, vol. 38(C), pages 19-44.
    25. Annielli Cunha & Danielle Morais, 2019. "Problem structuring methods in group decision making: a comparative study of their application," Operational Research, Springer, vol. 19(4), pages 1081-1100, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vu, K. & Asongu, S., 2023. "Patterns and drivers of financial sector growth in the digital age: Insights from a study of industrialized economies," Research in International Business and Finance, Elsevier, vol. 66(C).
    2. Trotta, Annarita & Rania, Francesco & Strano, Eugenia, 2024. "Exploring the linkages between FinTech and ESG: A bibliometric perspective," Research in International Business and Finance, Elsevier, vol. 69(C).
    3. Umara Noreen & Attayah Shafique & Zaheer Ahmed & Muhammad Ashfaq, 2023. "Banking 4.0: Artificial Intelligence (AI) in Banking Industry & Consumer’s Perspective," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    4. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    5. Piotrowski Dariusz, 2023. "Privacy frontiers in customers’ relations with banks," Economics and Business Review, Sciendo, vol. 9(1), pages 119-141, April.
    6. HUO, Peng & WANG, Luxin, 2022. "Digital economy and business investment efficiency: Inhibiting or facilitating?," Research in International Business and Finance, Elsevier, vol. 63(C).

    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. Alexandre de A. Gomes Júnior & Vanessa B. Schramm, 2022. "Problem Structuring Methods: A Review of Advances Over the Last Decade," Systemic Practice and Action Research, Springer, vol. 35(1), pages 55-88, February.
    2. Zhang, Yue & Ge, Mengshuai & Yang, Jiaju & Liu, Cuiying & Chen, Xi, 2023. "Controlling shareholders' equity pledge, digital finance, and corporate digital transformation," International Review of Financial Analysis, Elsevier, vol. 90(C).
    3. 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.
    4. Saarikko, Ted & Westergren, Ulrika H. & Blomquist, Tomas, 2020. "Digital transformation: Five recommendations for the digitally conscious firm," Business Horizons, Elsevier, vol. 63(6), pages 825-839.
    5. Singh, Shiwangi & Sharma, Meenakshi & Dhir, Sanjay, 2021. "Modeling the effects of digital transformation in Indian manufacturing industry," Technology in Society, Elsevier, vol. 67(C).
    6. Drasch, Benedict J. & Schweizer, André & Urbach, Nils, 2018. "Integrating the ‘Troublemakers’: A taxonomy for cooperation between banks and fintechs," Journal of Economics and Business, Elsevier, vol. 100(C), pages 26-42.
    7. Hamann-Lohmer, Jacob & Bendig, Miriam & Lasch, Rainer, 2023. "Investigating the impact of digital transformation on relationship and collaboration dynamics in supply chains and manufacturing networks – A multi-case study," International Journal of Production Economics, Elsevier, vol. 262(C).
    8. Bennich, Amelie, 2024. "The digital imperative: Institutional pressures to digitalise," Technology in Society, Elsevier, vol. 76(C).
    9. Bruno M. B. Pinto & Fernando A. F. Ferreira & Ronald W. Spahr & Mark A. Sunderman & Leandro F. Pereira, 2023. "Analyzing causes of urban blight using cognitive mapping and DEMATEL," Annals of Operations Research, Springer, vol. 325(2), pages 1083-1110, June.
    10. Xiurui Xu & Guangming Hou & Junpeng Wang, 2022. "Research on Digital Transformation Based on Complex Systems: Visualization of Knowledge Maps and Construction of a Theoretical Framework," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    11. Srisathan, Wutthiya A. & Naruetharadhol, Phaninee, 2022. "A COVID-19 disruption: The great acceleration of digitally planned and transformed behaviors in Thailand," Technology in Society, Elsevier, vol. 68(C).
    12. Swen Nadkarni & Reinhard Prügl, 2021. "Digital transformation: a review, synthesis and opportunities for future research," Management Review Quarterly, Springer, vol. 71(2), pages 233-341, April.
    13. Caroline Jennings Saul & Heiko Gebauer, 2018. "Digital Transformation as an Enabler for Advanced Services in the Sanitation Sector," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    14. Irene Bertschek & Joern Block & Alexander S. Kritikos & Caroline Stiel, 2024. "German financial state aid during Covid-19 pandemic: Higher impact among digitalized self-employed," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 36(1-2), pages 76-97, January.
    15. Marcus Grieger & André Ludwig, 2019. "On the move towards customer-centric business models in the automotive industry - a conceptual reference framework of shared automotive service systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 473-500, September.
    16. Ander, Veronika & Cihelka, Petr & Tyrychtr, Jan & Novák, David, 2022. "Towards Compromise User Experience Design in Ambient Intelligent Environment," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(2), June.
    17. Zahoor, Nadia & Zopiatis, Anastasios & Adomako, Samuel & Lamprinakos, Grigorios, 2023. "The micro-foundations of digitally transforming SMEs: How digital literacy and technology interact with managerial attributes," Journal of Business Research, Elsevier, vol. 159(C).
    18. Ponzoa, José M. & Gómez, Andrés & Mas, José M., 2023. "EU27 and USA institutions in the digital ecosystem: Proposal for a digital presence measurement index," Journal of Business Research, Elsevier, vol. 154(C).
    19. Antonio Farías & Christian A. Cancino, 2021. "Digital Transformation in the Chilean Lodging Sector: Opportunities for Sustainable Businesses," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    20. Coskun-Setirek, Abide & Tanrikulu, Zuhal, 2021. "Digital innovations-driven business model regeneration: A process model," Technology in Society, Elsevier, vol. 64(C).

    More about this item

    Keywords

    Artificial intelligence (AI); Cognitive mapping; Cybersecurity; Decision making trial and evaluation laboratory (DEMATEL); Digital transformation;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration

    Statistics

    Access and download statistics

    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:eee:riibaf:v:60:y:2022:i:c:s0275531922000046. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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.