Assessing the Impact of Mobile Banking Adoption on Branch Traffic and Operational Costs Using Time Series Analysis and Predictive Modeling

Author(s)	Preetham Reddy Kaukuntla
Country	United States
Abstract	Mobile banking has become a fast-growing segment and impacted the regular banking system, providing customers with comforts, yet, becoming inconvenient for physical branches. The effectiveness of mobile banking and its influence on branch usage and related expenditure has been assessed in this paper through the use of time series coupled with analytical and predictive modeling. These impacts are measured using the proposed framework where cumulative transaction data is coupled with customer usage profiles. Overall, findings point to decreased branch visitation and argue for responsible branch rationalization, achieving lower costs at the same time.
Keywords	Mobile banking, branch visits, cost structure, time series, forecasting, banking change, integrated architectures.
Published In	Volume 4, Issue 2, February 2023
Published On	2023-02-08
Cite This	Assessing the Impact of Mobile Banking Adoption on Branch Traffic and Operational Costs Using Time Series Analysis and Predictive Modeling - Preetham Reddy Kaukuntla - IJLRP Volume 4, Issue 2, February 2023. DOI 10.5281/zenodo.14769944
DOI	https://doi.org/10.5281/zenodo.14769944
Short DOI	https://doi.org/g83kwq

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