Pfahlsberger, Lukas, Mendling, Jan. 2021. Dimensions of Big Data as an Impact Factor on Data Governance. In PACIS 2021 Proceedings. 95. Hrsg. Pacific Asia Conference on Information Systems, 1-14. Dubai: None.

RIS

@INPROCEEDINGS{Pfahlsberger2021,
title = {Dimensions of Big Data as an Impact Factor on Data Governance},
author = {Lukas Pfahlsberger and Jan Mendling},
publisher = {None},
year = {2021},
address = {Dubai},
url = {https://aisel.aisnet.org/pacis2021/95/},
language = {EN},
pages = {1-14},
series = {PACIS 2021 Proceedings. 95.},
abstract = {The application of big data in an organizational context is often seen as a crucial enabler for generating above-average firm performance. Therefore, many organizations are rushing with the technical expansion of big data. By doing that, organizations face the challenge of adapting the underlying data governance structures that are essential for managing and regulating big data in an effective and efficient manner. Currently, it is unknown in which way big data imposes new requirements for the design of data governance structures. In this paper, we address this research gap by empirically investigating the connection between seven big data dimensions and the two constituents of data governance, namely decision domains and data-specific roles. The results indicate that big data-influenced data governance needs to be driven by value-generating use cases and less by technical considerations in order to act as an accelerator for fostering a data-driven, -trustworthy, and faulttolerant corporate culture.},
}