Master'sOpen Access

Cheating and detection in stocks: An application in the retail sector

Is this your thesis?

This record came from a bulk archive import. If it’s yours, link it to your profile.

2021
0 views
0 downloads

Abstract (EN)

In our growing and developing world, technology affects our lives completely. By using technology with the most accurate and effective methods possible, businesses follow the developments closely, making their management easier. Although businesses try to direct technology as they wish, managing the human factor is not as simple as it seems. Wherever there are people, it is possible that there is false, error, fraud and abuse. Although it is not possible to reset stock errors, with a good stock management system, errors can be minimized and reduced to an acceptable level. In this study, it was tried to explain that the types and characteristics of cheating should be known in order to minimize the possibility of error, fraud and abuse that negatively affect the stocks and cause deterioration and to perform fraud control. The tricks encountered in the exemplary business operating in the retail sector were analyzed and solution suggestions were put forward. Keywords: Fraud, Stock, Stock Management, Retail Industry

Author

Nuray Güzel

How to Cite

Nuray Güzel (Master Thesis). Cheating and detection in stocks: An application in the retail sector, 2021, Haliç University.

License

Tüm Hakları Saklıdır

This work is shared under the specified license terms.

More theses from Haliç University