Impact of Computerized Payroll Systems on Employee Productivity: A Case Study of Babcock University Staff School

Author:

Tepede Dipo ,Chukwulobe Ifeanyi ,Fayemi Taiwo Amos ,Ojuawo Olutayo

Abstract

This paper examines the impact of computerized payroll systems on employee productivity, focusing on Babcock University Staff School. Drawing upon historical context, contemporary typologies, and challenges in adoption, it explores the relationship between these systems and productivity, satisfaction, and motivation. Using a cross-sectional survey design and statistical analysis, the study reveals a significant positive correlation between computerized payroll systems and employee outcomes. Recommendations include investing in training, considering organizational context, and prioritizing continuous improvement. Future research should explore long-term effects, user experience, organizational culture, emerging technologies, and comparative studies on different payroll systems.

Publisher

RSIS International

Reference51 articles.

1. Accenture (2022). Improving Payroll Performance: Applying Technology to improve payroll performance in the cloud. Available from https://www.accenture.com/content/dam/accenture/final/a-com-migration/pdf/177/Accenture-Improving -Payroll-Performance-2022.pdf (Accessed January 2024).

2. Adi Nugroho, A., & Susanto, N. (2023, July 18). ANALYSIS OF DIGITAL TERRESTRIAL TELEVISION TECHNOLOGY ACCEPTANCE USING THE UTAUT2 MODEL. Jurnal TAM (Technology Acceptance Model), 14(1), 83. https://doi.org/10.56327/jurnaltam.v14i1.1539

3. Ahmed, A. M., Mohammed, C. N., & Ahmad, A. M. (2023, March 20). Web-based payroll management system: design, implementation, and evaluation. Journal of Electrical Systems and Information Technology, 10(1). https://doi.org/10.1186/s43067-023-00082-5

4. Ajana, B. (2020, November 18). Personal metrics: Users’ experiences and perceptions of self-tracking practices and data. Social Science Information, 59(4), 654–678. https://doi.org/10.1177/0539018420959522

5. Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2020). Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. International Journal of Information Management, 50, 437-450.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3