Materias dentro de su búsqueda.
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Fraude
26
Derecho penal
12
Historia
5
Leyes y legislación
5
Política y gobierno
5
Delitos contra la propiedad
4
Elecciones
4
Evasión de impuestos
4
Derecho bancario
3
Fraude bancario
3
Fraude en la ciencia
3
Fraude fiscal
3
Actos jurídicos
2
Aspectos sociales
2
Auditoría
2
Contabilidad
2
Delitos contra la administración de justicia
2
Delitos económicos
2
Delitos electorales
2
Estafa
2
Fraude procesal
2
Participación política
2
Procedimiento penal
2
Prácticas corruptas
2
Actos ilícitos
1
Administración de Justicia
1
Administración y procedimiento
1
Analísis de casos
1
Aspecto social
1
Aspectos económicos
1
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221“…Fraud can happen to any food business, but some sectors show more historical evidence of food fraud than others. …”
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225“…Our results show that modifying leaf-based model parameters specifically for fruit and with product-independent, but growth time specific environmental input data, plant physiological isotope models offer a new and dynamic method that can accurately predict the geographic origin of a plant product and can advance the field of stable isotope analysis to counter food fraud.…”
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226por Azevedo, Caio da Silva, Gonçalves, Rodrigo Franco, Gava, Vagner Luiz, Spinola, Mauro de Mesquita“…Here, we present a method that consists of the use of BL analysis over first and first-two digits, three statistical conformity tests – Z-statistics, Mean Absolute Deviation (MAD) and Chi-square (χ2) as well as the summation test which looks for excessively large numbers, having fraud detection as one of its application. We developed the method for fraud detection in the case of the Brazilian Bolsa Familia welfare program. …”
Publicado 2021
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227por Li, JiaoLong“…This study aims to identify e-commerce fraud, solve the financial risks of e-commerce enterprises through big data mining (BDM), further explore more effective solutions through Information fusion technology (IFT), and create an e-commerce fraud detection model (FDM) based on IFT (namely, computer technology (CT), artificial intelligence (AI), and data mining (DM). …”
Publicado 2022
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228“…A number of shortcomings in Germany’s efforts to contain the spread of the coronavirus, including fraudulent testing, vaccination fraud and insufficient testing capacity have been identified and need to be remedied before another wave or worse, another pandemic. …”
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229por Bodker, Amanda, Connolly, Phil, Sing, Oliver, Hutchins, Benjamin, Townsley, Michael, Drew, Jacqueline“…This article uses crime script analysis to understand the commission process of CNP fraud in online retail settings. Drawing upon previous crime script articles and industry reports we outline the steps involved in the three stages of CNP fraud: preparation; doing it; and getting away. …”
Publicado 2022
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231“…RESULTS: Of the 27 cases analyzed, all ophthalmologist defendants involved were male and the most common sub-specialty for an ophthalmologist defendant was refractive surgery. The most common fraud type was a fraud claim involving a malpractice lawsuit (12 of 27), followed by contract fraud and billing fraud. …”
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235“…Substantially reduce the largely hidden cost of fraud, and reap a new competitive advantage. As the title suggests, Countering Fraud for Competitive Advantage presents a compelling business case for investing in anti-fraud measures to counter financial crime. …”
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237“…The results show that, holding other factors constant, older adults are more likely to suffer fraud in general, but not fraud via online channels. …”
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238“…Food fraud has long been regarded as a major issue within the food industry and is associated with serious economic and public health concerns. …”
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239por Gavai, Anand, Bouzembrak, Yamine, Mu, Wenjuan, Martin, Frank, Kaliyaperumal, Rajaram, van Soest, Johan, Choudhury, Ananya, Heringa, Jaap, Dekker, Andre, Marvin, Hans J. P.Enlace del recurso
Publicado 2023
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240“…The results reveal that common institutional ownership significantly inhibits enterprise digital transformation; this result remains valid after a series of endogeneity and robustness tests, thereby indicating that common institutional ownership exerts a collusion fraud effect. The mechanism analysis shows that common institutional ownership hampers enterprise digital transformation mainly by increasing monopoly power within the market, aggravating information asymmetry between enterprise insiders and outsiders, and intensifying executive self-dealing. …”
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