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