Purpose The purpose of this paper is to assess the perceptions of the grassroots on the impact of combative policy measures, strategies and programs introduced by the government and the civil society to reduce persistent occurrences of bribery practices in Nigeria. Design/methodology/approach Multi-stage or cluster sampling was used to acquire the data for this paper via survey questionnaire administered to the grassroots in Abuja, Nigeria. The data set is used to assess the impact of the various policy measures, strategies and programs on the persistence of bribery practices in Nigeria. The multiple linear regression method was used to estimate the data generated from 836 responses in Statistical Package for Social Sciences (SPSS) version 26. Findings The result of the estimations indicates that the respondents perceived that some of the policy measures, strategies and programs introduced have reduced persistence of bribery practices in Nigeria, whereas others have remained ineffective in reducing the persistence of bribery practices in Nigeria. Originality/value Previous studies on the impact of anti-bribery policy measures, strategies and programs were largely based on the perceptions of international institutions and business executives; this study appears to be the pioneer to focus on the perceptions of the grassroots in Abuja, Nigeria.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.