DETECTION AND PREVENTION OF FRAUD THROUGH FORENSIC DATA ANALYTICS IN THE CAMEROONIAN PUBLIC SECTOR/ (Kayıt no. 141058)

MARC ayrıntıları
000 -BAŞLIK
Sabit Uzunluktaki Kontrol Alanı 03679nam a22002777a 4500
003 - KONTROL NUMARASI KİMLİĞİ
Kontrol Alanı KOHA_MİRAKIL
005 - EN SON İŞLEM TARİHİ ve ZAMANI
Kontrol Alanı 20210728145139.0
008 - SABİT UZUNLUKTAKİ VERİ ÖGELERİ - GENEL BİLGİ
Sabit Alan 201008b cy ||||| |||| 00| 0 eng d
040 ## - KATALOGLAMA KAYNAĞI
Özgün Kataloglama Kurumu CY-NiCIU
Kataloglama Dili eng
Çeviri Kurumu CY-NiCIU
Açıklama Kuralları rda
041 ## - DİL KODU
Özgün materyalin dil kodu eng
090 ## - Yerel Tasnif No
tasnif no YL 1768
Cutter no N38 2020
100 1# - KİŞİ ADI
Yazar Adı (Kişi adı) NDUNU, CHIBELIE
245 10 - ESER ADI BİLDİRİMİ
Başlık DETECTION AND PREVENTION OF FRAUD THROUGH FORENSIC DATA ANALYTICS IN THE CAMEROONIAN PUBLIC SECTOR/
Sorumluluk Bildirimi CHIBELIE NDUNU; SUPERVISOR: AHMAD ABU ALRUB
300 ## - FİZİKSEL TANIMLAMA
Sayfa, Cilt vb. XI, 101 sheets;
Diğer fiziki detaylar tables, figures,
Boyutları 30.5 cm
Birlikteki Materyal CD
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
502 ## - TEZ NOTU
Tez Notu Thesis (MSc) - CYPRUS INTERNATIONAL UNIVERSITY INSTITUTE OF GRADUATE STUDIES AND RESEARCH ACCOUNTING AND FINANCE DEPARTMENT
504 ## - BİBLİYOGRAFİ NOTU
Bibliyografi Notu Includes bibliography sheets 91-96
520 ## - ÖZET NOTU
Özet notu ABSTRACT<br/>For the past decades till present, Fraud is being regarded as one of the highest risk and consequential crime in the early-state environment that needs immediate detection and prevention. The Cameroon economy loses three billion dollars annually on fraud alone and its economic and financial effects continued to increase as time runs out. Fraud prevention is not completely perfect and as a result of this, fraud detection tools and techniques are necessary to facilitate and effectively identify frauds that circumvent or by-pass the preventive measures set in place.<br/>Fraud generally involves financial and economic effects that could have profitability with negative effects and an entity's image. With the advent of emerging technology, in which the production of IT systems plays a central role in the establishment of profitable companies, the amount of data processed has increased so quickly and exponentially which can be very difficult to run for reliable performance. Internal control team members or forensic experts need to look at every transaction that takes place, but unfortunately, this issue can no longer be performed manually, requiring the use of analytical tools and programs forensic data. As the businesses typically work with large quantities of data, it is crucial to follow these processes of continuous auditing in order to detect irregularities in the data stream or behavioral trends, possibly fraudulent and finally to be able to combat they if appropriate, as this may present a danger to the organization.<br/>This research used descriptive statistical methods and techniques in the Cameroonian public sector for possible identification and prevention of fraud. The goal of this study is to critically detect and prevent Cameroonian public sector fraud and economic crimes. This research uses standardized community sample questionnaires (Cates, 1985) consisting of public sector accountants, auditors, executives, and forensic accountants. The findings of this study indicate that software costs, data reliability and consistency, expert systems, password security, table sheet tool, virus protection, ongoing audit, forensic accountants, operational audits, expanded audit committee responsibilities, internal audit evaluations and changes, division of duties, Fraud reporting laws are among the important tools used in the detection and prevention of fraud in the public sector of Cameroon. This work contributes significantly to the prevention and identification of fraud and literature.<br/>Keywords: Fraud Detection And Prevention Techniques, Public Sector, Forensic Data Analytics
650 00 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ
Konusal terim veya coğrafi ad Accounting fraud
650 00 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ
Konusal terim veya coğrafi ad Accounting
700 1# - EK GİRİŞ - KİŞİ ADI
Yazar Adı (Kişi adı) SUPERVISOR: ALRUB, AHMAD ABU
9 (RLIN) 1656
942 ## - EK GİRİŞ ÖGELERİ (KOHA)
Sınıflama Kaynağı Dewey Onlu Sınıflama Sistemi
Materyal Türü Thesis
Mevcut
Geri Çekilme Durumu Kayıp Durumu Sınıflandırma Kaynağı Kredi için değil Koleksiyon Kodu Kalıcı Konum Mevcut Konum Raf Yeri Kayıt Tarih Source of acquisition Yer Numarası Demirbaş Numarası Son Görülme Tarihi Fatura Tarihi Materyal Türü Genel / Bağış Notu Toplam Ödünçverme
    Dewey Onlu Sınıflama Sistemi   Tez Koleksiyonu CIU LIBRARY CIU LIBRARY Tez Koleksiyonu 08.10.2020 Bağış YL 1768 N38 2020 T1974 08.10.2020 08.10.2020 Thesis Accounting and Finance Department  
    Dewey Onlu Sınıflama Sistemi     CIU LIBRARY CIU LIBRARY   08.10.2020 Bağış YL 1768 N38 2020 CDT1974 08.10.2020 08.10.2020 Suppl. CD Accounting and Finance Department  
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