Title: Data privacy project efficiency with cross-functional data governance team

Authors: Milomir Vojvodic; Jindrich Spicka; Emil Velinov

Addresses: Oracle Corporation, EMEA Domain Expertise Department, Dubai Internet City, Building 6, 500099, Dubai, UAE ' Prague University of Economics and Business, Department of Strategy, Namesti Winstona Churchilla 4, 13000, Prague, Czechia ' Department of Marketing and Management, SKODA AUTO University, Na Karmeli 1457, 293 01 Mlada Boleslav, Czechia; RISEBA University of Applied Sciences, Riga, Latvia

Abstract: 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).

Keywords: data governance; data privacy; project efficiency; organisational design; leadership.

DOI: 10.1504/IJSSE.2022.125944

International Journal of System of Systems Engineering, 2022 Vol.12 No.3, pp.288 - 327

Received: 24 Jun 2021
Accepted: 27 Dec 2021
Published online: 04 Oct 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article