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Full-Text Articles in Finance and Financial Management

Strategies To Prevent And Detect Occupational Fraud In Small Retail Businesses, Marquita V. Davis, David Harris Iii May 2020

Strategies To Prevent And Detect Occupational Fraud In Small Retail Businesses, Marquita V. Davis, David Harris Iii

International Journal of Applied Management and Technology

The objective of this multiple case study was to explore internal control strategies owners of small retail businesses in southeastern Pennsylvania used to prevent and detect occupational fraud. The results of this study indicated that there are areas for action that owners of small retail businesses could take to prevent and detect occupational fraud. Strategies business owners could implement to protect their businesses from occupational fraud include monitoring, employee identity documents to track employee activity, separation of duties, and communication with employees. Small business owners serve their communities by focusing on wealth distribution, including donations to local charities that foster …


Factors Affecting Mobile Banking Adoption In The United States, Michel N. Engwanda Jan 2014

Factors Affecting Mobile Banking Adoption In The United States, Michel N. Engwanda

2010-2016 Archived Posters

This quantitative correlational study was focused on how consumers’ perceptions affect their intention to use mobile banking in the United States. Among U.S. consumers with smartphones, Internet access, and a bank account; 68% used Internet, 33% used telephone-based banking, and only 21% engaged in some type of mobile banking activities in 2011. The web-based survey used in this study was derived from the technology acceptance model extended by the innovation diffusion theory. Data were collected by email from a random sample of 398 people in the United States. The structural equation modeling technique was used to analyze data. The results …


Performance Prediction Of Commodity Prices Using Foreign Exchange Futures, Yisa Ajao Jan 2013

Performance Prediction Of Commodity Prices Using Foreign Exchange Futures, Yisa Ajao

2010-2016 Archived Posters

In an experimental quantitative research design, data from the Futures Market for commodities and foreign exchange futures covering 1986-2011 were obtained and addressed. A General Regression Neural Network was overlaid on this data to deduce a time-series prediction model for wheat prices. Performance prediction error was only 4.42%.