Artificial Intelligence as an Enabling Tool for the Development of Dynamic Capabilities in the Banking Industry
Abstract
Banks are investing in artificial intelligence (AI) to develop more innovative business models in order to face competition. The main objective of this paper consists in analyzing bank experiences when they introduce AI from the theory of dynamic capabilities and the resource-based view approach. Documentary research enables the description of experiences in three companies from the financial industry. It has been considered of interest to include different international experiences. For that reason, a firm providing debit and credit card services has been included, MasterCard, along with international banks such as Royal Bank of Scotland and Caixa Bank. Results show that AI enables firms to promote new relationships with customers, detect their needs or experiences, and adapt the service given by firms to be more competitive. AI also allows them to speed up responses to customers answers and doubts through its value chain. This research also shows that the proper implementation of AI permits a reconfiguration of traditional banking scenario. Detection, absorption, integration, and innovation are capabilities that allow these firms to build the managerial skills oriented to save costs, increase efficiency, and be more competitive.
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AI enables promoting new relationships with customers, identifying their needs or experiences, and adapting the service to be more competitive.
“A study conducted with three large payment-processing firms suggests that AI enables promoting new relationships with customers, identifying their needs or experiences, and adapting the service to be more competitive.”
From Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of <scp>AI</scp> applications (2025) · cites this paper as Gallego-Gomez & De-Pablos-Heredero, 2020
AI adoption favors multimodal value co-creation with suppliers, customers, users, and AI providers.
“AI adoption favors multimodal value co - creation with suppliers, customers, users, and AI providers.”
From Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of <scp>AI</scp> applications (2025) · cites this paper as Gallego-Gomez and De-Pablos-Heredero (2020)
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Gama, F., & Magistretti, S. (2025) · Journal of Product Innovation Management · doi:10.1111/jpim.12698 · Cited by 388 · see citing works
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Kitsios, F., & Kamariotou, M. (2021) · Sustainability · doi:10.3390/su13042025 · Cited by 360 · see citing works
“Authors Year AI and Machine Learning in Organizations Aligning AI Tools and IT with Business Strategy AI, Knowledge Management and Decision-Making Process AI, Service Innovation and Value Akhtar et al. [1] 2019 x Balog [2] 2020 x Duan et al. [3] 2019 x Lichtenthaler [4] 2020b x Božič and Dimovski [5] 2019 x Chen and…”
AI and sustainable business model innovation: A systematic literature review
Sharma, A., Khokhar, M., Duan, Y., Bibi, M., Sharma, R., & Muhammad, B. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.101204 · Cited by 19 · see citing works
- Authors
- Gallego-Gomez, C., & De-Pablos-Heredero, C.
- Affiliations
- International University of La Rioja (UNIR), Spain
- ESIC Business and Marketing School, Spain & Rey Juan Carlos University, Spain
- Venue
- International Journal of Enterprise Information Systems
- Publisher
- IGI Global Scientific Publishing
- Published
- 2020-07
- Volume
- 16
- Issue
- 3
- Pages
- 20-33
- ISSN
- 1548-1115 (ISSN-L)
- 1548-1123
- OpenAlex
- W3045595302
- Cited by
- 42
- References
- 0
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 12 · 2023: 7 · 2022: 7 · 2021: 2
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Enterprise Information Systems (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- BURJC Digital (King Juan Carlos University) (submittedVersion)
- Hispana (submittedVersion)
- Re-Unir (International University of La Rioja) (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Digital Transformation in Financial Services
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- artificial intelligence, dynamic capabilities, banking sector, resource-based view, business model innovation, customer relationship management, competitive advantage, value chain, MasterCard, Royal Bank of Scotland, AI implementation
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