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 Home»Economics» Impact of integrated payroll and personnel information system (IPPIS) on salary payment accuracy and timeliness - a comparative analysis of Bayero University Kano and Federal College of Education Kano

Impact of integrated payroll and personnel information system (IPPIS) on salary payment accuracy and timeliness - a comparative analysis of Bayero University Kano and Federal College of Education Kano

 Department: Economics  
 By: usericon Zakaria24  

 Project ID: 8813
   Rating:  (5.0) votes: 1
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   Price:₦5000
Abstract
This study assessed the impact of Integrated Payroll and Personnel Information System (IPPIS) implementation on salary payment accuracy and timeliness in Nigerian federal universities. Using a cross-sectional survey design, data were collected from 689 staff members at Bayero University Kano (BUK) and Federal College of Education Kano (FCE) covering the period 2017-2024. The study employed logistic regression, multiple linear regression, and ordered logistic regression models to analyze payment accuracy, timeliness, and staff satisfaction, respectively. Results showed significant improvements in payment accuracy from 70.7% pre-IPPIS to 82.0% post-implementation, representing an 11.3 percentage point increase. BUK achieved superior outcomes (85.7% accuracy) compared to FCE (78.2% accuracy). Payment timeliness results were mixed, with BUK experiencing 44% reduction in delays while FCE suffered a 14% increase. Overall staff satisfaction was moderate at 41.1%, with BUK staff showing higher satisfaction (46.8%) than FCE staff (34.1%). Error resolution time increased substantially from 2.3 weeks to 6.8 weeks, representing a major implementation drawback. The study identified institutional capacity as the critical success factor, with technical infrastructure, administrative efficiency, and leadership quality significantly influencing outcomes. Common challenges included complex allowance calculations (72.1%), slow error resolution (75.9%), and inadequate training (71.5%). Major benefits included ghost worker elimination (87.1% agreement) and improved transparency (77.8% agreement). The research validates the Technology Acceptance Model in mandatory implementation contexts and demonstrates trade-offs between centralization benefits and operational flexibility. Recommendations include enhancing system flexibility for university-specific requirements, improving error resolution mechanisms, and strengthening institutional technical capacity for successful implementation....
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