2021
DOI: 10.4018/978-1-7998-4201-9.ch003
|View full text |Cite
|
Sign up to set email alerts
|

Data Governance in the Digital Age

Abstract: In the contemporary organizational context, the sharing and transfer of knowledge play a significant role, and therefore, it is important to overcome internal and external barriers for them to be processed. This can be facilitated by the implementation of data governance (GovD). The problem is that, in addition to being a new construct and still little studied, conceptual divergences are fed by the amplitude the possible dimensions of analysis. In this context, the objective of this study arises in identifying… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 60 publications
0
2
0
Order By: Relevance
“…However, data governance in this context tends to be limited to narrowly defined technical issues such as information systems and system cluster data while ignoring other factors, which could become the bottlenecks of technical applications. On the other hand, previous works regarding the theoretical construction of data governance framework often neglected technical application methods, and many of them lacked solid theoretical sources and scientific foundations, which brings about much divergence and inconsistency among previous system frameworks (Rascão, 2021). Since a framework generally requires the adjustment of organization and management system, and its ability to solve practical problems cannot be evaluated directly, it is costly to put the framework into practice and its benefits might not be obvious in the short term, which would prevent the framework from being applied.…”
Section: Challenge I: Disconnect Between Technology and Theorymentioning
confidence: 99%
“…However, data governance in this context tends to be limited to narrowly defined technical issues such as information systems and system cluster data while ignoring other factors, which could become the bottlenecks of technical applications. On the other hand, previous works regarding the theoretical construction of data governance framework often neglected technical application methods, and many of them lacked solid theoretical sources and scientific foundations, which brings about much divergence and inconsistency among previous system frameworks (Rascão, 2021). Since a framework generally requires the adjustment of organization and management system, and its ability to solve practical problems cannot be evaluated directly, it is costly to put the framework into practice and its benefits might not be obvious in the short term, which would prevent the framework from being applied.…”
Section: Challenge I: Disconnect Between Technology and Theorymentioning
confidence: 99%
“…In order to achieve greater business impact and value, especially under such rapidly changing market conditions, businesses would eventually need to implement a data-driven culture built upon an adaptive and agile data governance program [14][15][16]. Data governance is a key supporting element of digitalization, enabling barrier-less knowledge flow and sharing within an organization [17]. Managing this change process would allow firms to address two key challenges, namely increasing data literacy and embedding data and analytics (deemed to be the number one game-changer against the pandemic crisis) into company-wide strategies, decision-making, and results [14][15][16].…”
Section: Introductionmentioning
confidence: 99%