CiteNScope — Scholarly Index & Analytics
Discover / IJRBSPUBLICATION RECORD

Examining the role of blockchain technology against fraud in SMEs

Amadin Victor Idehen · Ewere Mayor

International Journal of Research in Business and Social Science · 2021 · Vol. 10 / Issue 5 · 245-252

Research reach

Publication metrics

External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.

Dimensions

Live provider badge. If unavailable, use the Dimensions link above.

CROSSREF CITATIONS1

Observed 21 Oct 2026, 07:22 UTC

OpenAlex · Citations4Cached provider observation

Observed 22 Oct 2026 01:45 UTC

Mendeley · Readers22Cached provider observation

Observed 22 Oct 2026 01:45 UTC

OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.

OpenAlex / Citation year

Annual citations to this article

View provider totals ↑

Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.

2017–2026 Annual history last updated:

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage

2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.

Overview

Abstract

The study examined the use of blockchain technology for the prevention of fraud in small and medium enterprises. Fraud in businesses is a significant problem that stifles the growth of businesses. The methodology used is a review of relevant and extant literature, after which a conclusion was made. The transparency, security, and traceability of blockchain enhance its credibility as the most valuable technology to stem fraud in a business organization. The study contributed to knowledge by evaluating how blockchain can be adopted to stem the tide of fraud in businesses in Nigeria.

Keywords: {'name': 'Small and Medium enterprises, Business, Blockchain, Technology, Fraud.'}

Authors & affiliations

Amadin Victor Idehen
Affiliation not supplied

Ewere Mayor
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

DOI: 10.1002/nml.21313

DOI: 10.6007/IJARBSS/v7-i7/3076

DOI: 10.19030/jber.v10i6.7027

Ijeoma, N. & Aronu, C.O.(2013). The impact of fraud management on organizational survival in Nigeria. American Journal of Economics, 3(6), 268-272. https://doi.org/10.5923/j.economics.20130306.04

DOI: 10.1080/00036846.2021.1898535

Micheni, S.N. (2016). Effectiveness of internal control on detection and prevention of fraud on commercial Banks listed in Nairobi security exchange. A research project submitted in partial fulfillment of the requirement for the award of Master of Science, finance, University of Nairobi

Olaniyi, E. (2018). Blockchain technology and Finance market: An Empirical Analysis. Actual Problems of the Economy, 211 (12 october,2019), 82-101

Olanrewaju, R.A. & Johnson-Rokosu, S. (2019). Impact of employee fraud on business entities in Nigeria. International Journal of Research and innovation in social science, III(XI), 41-50

Omokaro, B.E. & Ikpere, O.C.(2019). The impact of fraud management activities on organization survival in Nigeria. International Journal of Research and Innovation in Applied Science, IV(IV),20-24

DOI: 10.5861/ijrsm.2018.3007

DOI: 10.20525/ijrbs.v10i4.1222

DOI: 10.1007/s12599-017-0506-0

Sarmah, S.S (2018). Understanding Blockchain Technology. Computer Science and Engineering,8(2),23-29. https://doi.org/10.523/j.computer.2018.08802.07

DOI: 10.5901/mjss.2015.v6n5s5p71

DOI: 10.1109/BigDataCongress.2017.85