Fraud Detection in Savings and Credit Cooperative Societies in Tanzania: Do Red Flags Matter?

The purpose of this study was to establish whether red flags matter in fraud detection by assessing their perceived influence on fraud detection in Savings and Credit Cooperative Societies (SACCOS) in Tanzania. This study employed a mixed-methods approach where quantitative data was collected from 210 SACCOS, and qualitative data was collected from 9 Key Informants. Data analysis was carried out using Partial Least Square – Structural Equation Modeling (PLS-SEM) and content analysis respectively. Findings indicate that both behavioral red flags (β = 0.606, p < 0.001) and operational red flags (β = 0.339, p < 0.001) had a significant influence on fraud detection in SACCOS. The two constructs contribute about 56% to fraud detection in SACCOS. The study concludes that red flags matter significantly in fraud detection in SACCOS, and can help as an early fraud detection mechanism. It is recommended that SACCOS Board members, managers, staff and members should be trained on how to identify and report fraud red flags to the relevant authorities.

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Publication Details

Journal
International Journal of Community and Cooperative Studies
Published
2025-01-15
DOI
https://doi.org/10.37745/ijccs.2014/vol13n13245
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Fraud Detection in Savings and Credit Cooperative Societies in Tanzania: Do Red Flags Matter?

John Moshi, Lucas D. Mataba, Gervas Machimu
International Journal of Community and Cooperative Studies
FinTech, Crowdfunding, Digital Finance
article

Fraud Detection in Savings and Credit Cooperative Societies in Tanzania: Do Red Flags Matter?

John Moshi, Lucas D. Mataba, Gervas Machimu
article en

Abstract

The purpose of this study was to establish whether red flags matter in fraud detection by assessing their perceived influence on fraud detection in Savings and Credit Cooperative Societies (SACCOS) in Tanzania. This study employed a mixed-methods approach where quantitative data was collected from 210 SACCOS, and qualitative data was collected from 9 Key Informants. Data analysis was carried out using Partial Least Square – Structural Equation Modeling (PLS-SEM) and content analysis respectively. Findings indicate that both behavioral red flags (β = 0.606, p < 0.001) and operational red flags (β = 0.339, p < 0.001) had a significant influence on fraud detection in SACCOS. The two constructs contribute about 56% to fraud detection in SACCOS. The study concludes that red flags matter significantly in fraud detection in SACCOS, and can help as an early fraud detection mechanism. It is recommended that SACCOS Board members, managers, staff and members should be trained on how to identify and report fraud red flags to the relevant authorities.

International Journal of Community and Cooperative StudiesVol. 13(1)
Openalex Percentile: Top 57%
FinTech, Crowdfunding, Digital Finance
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Fraud Detection in Savings and Credit Cooperative Societies in Tanzania: Do Red Flags Matter? — John Moshi, Lucas D. Mataba, et al. · International Journal of Community and Cooperative Studies (2025) | TGRS Research Map | TGRS