Projecting a Strategic Diagnosis System of Corruption Based on Network Analysis

Ioan Petrișor () and Dana Nedea ()
Additional contact information
Ioan Petrișor: West University of Timișoara
Dana Nedea: West University of Timișoara

Chapter Chapter 19 in Innovation in Sustainable Management and Entrepreneurship, 2020, pp 257-270 from Springer

Abstract: Abstract Throughout the recent years, there have been witnessed a series of corruption organizational behaviour cases all over the world. Romania, among many other countries, is facing high-profile corruption cases that have been having a major impact on the business environment. The strategic diagnosis of these conditions becomes highly important for businesses, leading to a need for a Strategic Diagnosis Based on Network (SDBN) in order to fight the corruptive behaviour of different stakeholders. This paper will introduce a SDBN of corruption-centred behaviours. The methodology is based on network analysis. A large quantity of event data about corruption, and business corruption, is extracted from the Global Database of Events, Language, and Tone (GDELT). This paper applies SDBN at Global, European and separately EU, and Romanian level. The distinctiveness of this research consists of involving the theory of network analysis, as well as of inspiring strategic directions for inhibiting the corruption behaviours. The results show the need for a SDBN as well as the national conditions for strategic business decisions. The research limits are given by the usage of big data and by the magnitude of corruption behaviours. Future research will apply the SDBN to a larger sample of data.

Keywords: Network analysis; GDELT; Corruption; Business corruption; Strategic diagnosis system of corruption (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:prbchp:978-3-030-44711-3_19

Ordering information: This item can be ordered from
http://www.springer.com/9783030447113

DOI: 10.1007/978-3-030-44711-3_19

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().