Přehled o publikaci
2022
Data privacy project efficiency with cross-functional data governance team
VOJVODIC, Milomir; Jindrich SPICKA and Emil VELINOVBasic information
Original name
Data privacy project efficiency with cross-functional data governance team
Authors
VOJVODIC, Milomir; Jindrich SPICKA and Emil VELINOV
Edition
International Journal of System of Systems Engineering, Spojené království Velké Británie a Seve, Inderscience, 2022, 1748-0671
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
50200 5.2 Economics and Business
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
is not subject to a state or trade secret
References:
Organization
Škoda Auto Vysoká Škola o.p.s. – Repository
EID Scopus
2-s2.0-85140574985
Keywords in English
cross-functional; project; data governance
Tags
International impact, Reviewed
Changed: 18/9/2024 15:35, Barbora Dobrá
Abstract
V originále
The paper aims to observe the impact of data governance and leadership related cross-functional organisational practices on project efficiency, measuring several predictors, moderator, and mediator variables. The paper's empirical data are collected from 98 data management professionals involved in recent European Union General Data Protection Regulation (EU GDPR) projects associated with party data in larger organisations across Europe. The study suggests that Cross-Functional Governance Integration (CFGI) leads to an increase of Privacy Project Speed (PPS). The strength of that relationship is increased by Line-of-Business Stakeholders Governance Participation (LOBS-GP) (moderation). The central construct in this research of CFGI is even more relevant as it is the underlying mechanism where Governance Team Leadership (GTL) also leads to an increase of PPS (mediation).
