EMPLOYING ARTIFICIAL INTELLIGENCE PRACTICES IN DIGITAL MARKETING TO SERVE THE BANKING SECTOR-FIELD RESEARCH ON A SAMPLE OF PRIVATE BANKS IN BAGHDAD
Keywords:
Artificial Intelligence Practices, Digital MarketingAbstract
The current research aims to identify the use of artificial intelligence practices with its dimensions of (expert systems, automatic learning, intelligent agent, knowledge representation and reasoning) in digital marketing with its dimensions of (retention, learning, absorption, attraction) to serve the banking sector in a sample of private banks in Baghdad. To come up with a set of recommendations that contribute to improving their practice and adoption of these variables, and based on the modernity of the variables and their importance to the banking sector on the one hand, and society on the other hand, the research was applied in a sample of private banks in Baghdad Governorate to be the field from which data on the research variables are collected, for the purpose of analysis. Reaching results and achieving research objectives. For this purpose, a questionnaire was prepared that collects the research variables, consisting of (32) items, based on previous standards and models. In order to analyze the data obtained from the research questionnaire, which formed the opinions and answers of the sample, the researcher used the software (SPSS) to analyze the primary data, and the research adopted a descriptive approach. Analytical in completing his research, both its applied and theoretical sides, the statistical analysis showed a number of results, the most notable of which was the acceptance of all hypotheses, and it became clear that there is a link between artificial intelligence and digital marketing
References
Al-Ababneh, H., Borisova, V., Zakharzhevska, A.,
Tkachenko, P., & Andrusiak, N. (2023). Performance of
artificial intelligence technologies in banking
institutions.WSEAS Trans. Bus. Econ, 20, 307-317.
- Alsger, A., Assemi, B., Mesbah, M., & Ferreira, L. (2016).
Validating and improving public transport origin–
destination estimation algorithm using smart card fare
data.Transportation Research Part C: Emerging
Technologies, 68, 490-506.
- Bala, M., & Verma, D. (2018). A critical review of digital
marketing. M. Bala, D. Verma (2018). A Critical Review
of Digital Marketing. International Journal of
Management, IT & Engineering, 8(10), 321-339.
- Chaffey, D., & Smith, P. R. (2022). Digital marketing
excellence: planning, optimizing and integrating online
marketing. Routled
- Chaimaa, B., Najib, E., & Rachid, H. (2021). E-banking
overview: concepts, challenges and solutions.Wireless
Personal Communications, 117, 1059-1078.
- Dumitriu, D., & Popescu, M. A. M. (2020). Artificial
intelligence solutions for digital marketing. Procedia
Manufacturing, 46, 630-636.
- El Talla, S. A., Al Shobaki, M. J., & Abu-Naser, S. S. (2019).
Electronic Banking Services from the Point of View of
Bank Customers in Palestine.
- Martinez, R. (2019). Artificial intelligence:
Distinguishing between types & definitions. Nevada
Law Journal, 19(3), 9.
- Peter, M. K., & Dalla Vecchia, M. (2021). The digital
marketing toolkit: a literature review for the
identification of digital marketing channels and
platforms. New trends in business information systems
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