EconPapers    
Economics at your fingertips  
 

INVESTIGATION OF CORRUPTION WITHIN MULTINATIONALS

Monica A. Puiu and Carmen N. Nistor
Additional contact information
Monica A. Puiu: Doctoral School of Economics and Business Administration, ALEXANDRU IOAN CUZA University of Iasi, Romania
Carmen N. Nistor: Doctoral School of Economics and Business Administration, ALEXANDRU IOAN CUZA University of Iasi, Romania

SEA - Practical Application of Science, 2014, issue 3, 487-498

Abstract: Nowadays companies worldwide are battling to survive and grow in what have continued to be highly adverse economic conditions. In this regard, many multinationals have intensified their efforts to detect and investigate the cases of corruption, as a special form of fraud. The purpose of this article is to analyze the cases of corruption identified within companies in the last year, the evolution of this negative phenomenon and the general perception of companies in this matter. Taking into consideration the aspects above we focus on the conceptual framework of corruption and the studies conducted in the past, later describing its main characteristics and form of manifestations. Finally, we present recent findings of corruption studies issued at the beginning of 2014.

Keywords: Corruption; Multinationals (search for similar items in EconPapers)
JEL-codes: M41 M42 (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/SPAS_3_59.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cmj:seapas:y:2014:i:3:p:487-498

Access Statistics for this article

SEA - Practical Application of Science is currently edited by Romanian Foundation for Business Intelligence

More articles in SEA - Practical Application of Science from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().

 
Page updated 2025-03-19
Handle: RePEc:cmj:seapas:y:2014:i:3:p:487-498