CLOUD-BASED RECOVERY STRATEGY AND ADMINISTRATIVE EFFICIENCY IN COMMERCIAL BANKS IN RIVERS STATE

Abstract

The study examined cloud-based recovery strategy and administrative efficiency in commercial banks in Rivers State. The objectives of the study was to examine the relationship between cloud-based recovery strategy and measures of administrative efficiency such as cost efficiency, optimized process and timeliness in commercial banks in Rivers State. The study was anchored on Technology Acceptance Model as its theoretical foundation. The study adopted explanatory cross-sectional survey research design. The accessible population of the study consisted of Three Hundred and Eight (308) administrative heads and supervisors of Twenty-Three (23) commercial banks’ headquarters operating in Rivers State. The sample size of the study was One Hundred and Seventy-Four (174) respondents. The above sample size was obtained using the Taro Yamene Formula. To address the differences in the distribution of the population across the commercial banks, Bowley’s (1960) Population Proportionate Allocation Formula was adopted and applied. Thus, the study adopted random sampling techniques. Structured questionnaire was used as the main instrument for the collection of primary data. Cronbach alpha via SPSS (Statistical Package for Social Sciences, Version 24.0) was used to ascertain the reliability of the instrument. The Spearman Rank Order (Rho) was used for analysis. It was found that there is a significant positive relationship between cloud-based recovery strategy and administrative efficiency in commercial banks in Rivers State. It was concluded that, in a competitive and digitally driven banking environment, particularly within the operational realities of Rivers State, the adoption of cloud-based recovery is not merely a technological upgrade but a strategic imperative for sustaining efficiency, resilience, and long-term competitiveness. Consequently, the study recommended that management of commercial banks should fully integrate cloud-based recovery strategy systems with their core banking applications and operational workflows to ensure seamless data synchronization and eliminate manual redundancies.