24-Hour Working Concept in Banks: A Data-Driven Feasibility and Impact Assessment

Authors

  • S. Ramkumar Department of Commerce, Madurai Kamaraj University.
  • A.Hussain Syed Ibrahim P.G. Department of Commerce, M.S.S.Wakf Board College, Maduai – 20, Affiliated to Madurai Kamaraj University.

DOI:

https://doi.org/10.70917/ijcisim-2026-4131

Keywords:

24/7 banking, extended branch hours, queueing theory, Erlang-C, M/M/c, staffing optimization, time varying demand, customer experience, cost-benefit analysis, NPV, ROI

Abstract

This paper evaluates the feasibility of introducing a -hour working concept in select bank branches to address growing after-hours customer demand and persistent needs for in-person verification, advisory, and dispute resolution. A quantitative framework is developed by integrating (i) time-band demand decomposition across a 24-hour cycle, (ii) Erlang-C (M/M/c) queueing analysis for staffing and servicelevel assurance under time-varying arrivals, and (iii) investment appraisal using incremental costrevenue modeling, payback, ROI, and NPV. A 25-branch, metro-focused pilot dataset is used to demonstrate end-to-end calculations and decision metrics. Results indicate a mean after-hours share of 55.54% (range 51.6%-58.7%), supporting the case for extended access in urban markets. Queueingbased staffing designed to cap utilization maintains stable performance across time bands, while the financial module shows that 24/7  branches achieve positive incremental monthly profit and 20/25 achieve positive 24-month NPV under the stated assumptions. The findings support a selective scale-up strategy in high-demand corridors, with managerial emphasis on shift design, safety and incentives, service bundling by time band, and measured awareness-building to maximize adoption and value creation.

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Published

2026-07-31

How to Cite

S. Ramkumar, & A.Hussain Syed Ibrahim. (2026). 24-Hour Working Concept in Banks: A Data-Driven Feasibility and Impact Assessment. International Journal of Computer Information Systems and Industrial Management Applications, 18(13s), 884–901. https://doi.org/10.70917/ijcisim-2026-4131

Issue

Section

Original Articles