Efficiency Hypothesis Testing in an e-Procurement Implementation Assessment Model Framework: A Case Study of Bangladesh's Roads and Highways Division
1 Director (Admin & Finance), National Academy for Planning and Development, Bangladesh.
2 Centre for Higher Studies and Research, Bangladesh University of Professionals, Bangladesh.
3 Department of Computer Science and Engineering, Jahangirnagar University, Bangladesh.
Research Article
World Journal of Advanced Research and Reviews, 2023, 20(01), 079–085
Publication history:
Received on 03 August 2023; revised on 01 October 2023; accepted on 03 October 2023
Abstract:
In 2011, the e-Government Procurement (e-GP) guideline 2011 is adopted to start electronic procurement in public sector. However, since the e-GP system was first implemented, a great deal of investigations or analyses have not been conducted to determine how well its tender efficiency measured. This research aims to investigate the essential variables that contribute to the successful implementation of an electronic procurement system in Bangladesh. Another goal is to identify e-procurement implementation issues and build an efficient e-procurement implementation assessment model. Survey questionnaires were employed to collect data from eleven Roads and Highways Division (RHD) zones as a population. The study sample size of the bidders was 139. Hypothesis test has been done choosing MLR model of SPSS software. Efficiency was one of the eight hypothesis tests in the study. Findings proved that model was fit. The article helps readers comprehend the key elements that could affect the efficiency of public procurement. By attaining efficiency in public procurement, the study promises a significant contribution to saving public money.
Keywords:
e-GP guideline 2011; e-Procurement assessment model; Hypothesis test; e-Procurement; Public procurement efficiency; CPTU.
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0