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Automation as a Panacea to Manual Collection of Internally Generated Revenue in North East Region, Nigeria

Yakubu Adamu PhD Alhaji Kawugana PhD

Abstract

This paper explores the potential of automation as a solution to the challenges of manual collection of internally generated revenue (IGR) in the North East region of Nigeria. The region, characterized by economic and infrastructural constraints, faces significant inefficiencies in revenue collection due to reliance on manual systems. Automation offers a promising alternative by enhancing efficiency, accuracy, and transparency in the revenue collection process. The manual collection of Internally Generated Revenue (IGR) in the North East region of Nigeria is plagued by inefficiencies, leakages, corruption, and poor accountability, leading to suboptimal revenue generation. This study explores the role of automation as a solution to these challenges, examining its impact on revenue collection, transparency, and government efficiency. Using a qualitative and quantitative approach, data was collected from revenue-generating agencies, government officials, and businesses within the region. The findings reveal that automation significantly enhances revenue collection by reducing human errors, increasing compliance through digital payment systems, and improving financial reporting. The study recommends the adoption of an integrated digital revenue collection system, proper regulatory frameworks, and capacity building for stakeholders to ensure a seamless transition from manual processes. Ultimately, automation is identified as a key driver for economic growth and improved governance in the North East region of Nigeria.

Keywords

AutomationInternally Generated RevenueDigital Payment SystemsTransparency

References

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