ANALYSIS AND PREDICTION OF THE USE OF DIGITAL MARKETING TACTICS IN THE BANKING SECTOR USING ECONOMETRIC MODELS
Abstract
The study paper provides a detailed examination of how digital marketing methods affect the economic efficiency of commercial banks, specifically within the changing environment of the banking sector. The study examines the relationship between higher digital marketing spending, increased investment in staff development, and their impact on the net income of banks using 18 years of financial data from ATIB "Mortgage Bank" in Uzbekistan. The study uses advanced statistical analysis to create Vector Autoregressive (VAR) and Autoregressive Distributed Lag (ARDL) models to predict and assess the impact of marketing initiatives in the banking industry. The results highlight a strong correlation between increased digital marketing initiatives, greater staff commitment, and higher financial success of commercial banks. The VAR and ARDL econometric equations, generated from time series data, offer a strong foundation for comprehending the dynamic relationship between marketing tactics and economic results in the banking sector. This research adds to the overall discussion on the effectiveness of digital marketing, providing significant data for financial institutions looking to improve their economic efficiency by strategically investing in marketing and human resources.
Keywords:
digital marketing banking services econometric models VAR ARDL time seriesReferences
Ahmad Firdause Md Fadzil, Puspa Liza Ghazali, Mohd Rafi Yaacob, Mohd Nazri Muhayiddin, (2018) The Relation of Entrepreneur Cognition and Personality: The Determinant Factors of E-Commerce Entrepreneurship Involvement in Malaysia, International Journal of Asian Social Science: Vol. 8 No. 12
Andreeva L. and Sviridov O. (2017), “Experience of Greece on recapitalization of banks, marketing management and personnel retraining in conditions of economic recession”, vol. 20, pp. 390-409.
Boufounou, P. (1995). Evaluating bank branch location and performance: A case study. European Journal of Operational Research, 87, 389-402. https://doi.org/10.1016/0377-2217(92)00080-5.
CGAP (2017). Consultative Group to Assist the Poor. Available at: http://www.cgap. org/topics/digital-financial-services Accessed 9 November.
Dibb S. and Meadows M., (2001) “The application of a relationship marketing perspective in retail banking”, Service Industries Journal, vol. 21(1), pp. 169–194.
Dimitrios Asteriou and Stephen G. Hall. (2007) Applied econometrics. A modern approach using Eviews and Microfit. Revised edition. Palgrave Macmillan, New York,
Feng G., Gao J., Peng B., Zhang X. (2017) A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks Journal of Econometrics, 196 (1), pp. 68-82
Hashem Pesaran M. & Yongcheol Shin & Richard J. Smith, (2001). "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
Jichang Dong, Lijun Yin, Xiaoting Liu, Meiting Hu, Xiuting Li, Lei Liu, (2020) “Impact of internet finance on the performance of commercial banks in China”, International Review of Financial Analysis, Volume 72, 101579
Pesaran, M. H., & Pesaran, B. (1997). Working with Microfit 4.0. Camfit Data Ltd., Cambridge.
Reifschneider, D., Stockton, D., & Wilcox, D. (1997). Econometric models and the monetary policy process. Carnegie-Rochester Conference Series on Public Policy, 47, 1-37. https://doi.org/10.1016/S0167-2231(98)00002-5.
Sebastian Kripfganz & Daniel Schneider, (2018). "ardl: Estimating autoregressive distributed lag and equilibrium correction models," London Stata Conference 2018 09, Stata Users Group.
Sengupta, J. (2021). Application of Econometrics in Business Research., 137-159. https://doi.org/10.4018/978-1-7998-6673-2.CH010.
Shen Y., Guo P. (2015) Internet finance, technology spillover and commercial banks TFP Journal of Financial Research, 417 (3), pp. 160-175
Trusova A., Yu., (2023). Econometric modeling as a development tool of Methodologies for analysis of banking indicators. Vestnik Samarskogo universiteta. Èkonomika i upravlenie, doi: 10.18287/2542-0461-2023-14-1-202-218
Xonturayev, B. (2023). JAHON MAMLAKATLARINING BANK XIZMATLARI BOZORIDA ISTE’MOLCHILAR XULQ-ATVORIDAGI O‘ZGARISHLARNING O‘ZIGA XOS XUSUSIYATLARI TAHLILI. Iqtisodiy Taraqqiyot Va Tahlil, 1(2), 66–77. Retrieved from https://sci-p.uz/index.php/eitt/article/view/48
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