Govern Like You Mean It: Embedding Data Ethics Practices within Data Governance
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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AMCIS 2025 Proceedings. Atlanta: AIS eLibrary, 2025. 1265 (The AMCIS proceedings series; Band 2025).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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RIS
TY - CHAP
T1 - Govern Like You Mean It
T2 - AMCIS 2025
AU - Richter, Kenneth
AU - Zimmer, Markus Philipp
AU - Drews, Paul
N1 - Track: Data ecosystems in information systems (DATAECO)
PY - 2025
Y1 - 2025
N2 - As organizations increasingly rely on data-driven decision-making, the integration of data ethics (DE) within data governance (DG) remains insufficiently understood. Existing DG prioritizes compliance, data quality, and efficiency, but lacks guidance on how DE can be systematically enacted. Therefore, this study addresses this gap by examining how organizations embed DE within governance mechanisms. Using a qualitative research approach, we conducted and analyzed interviews with DG professionals to identify and categorize DE practices. Our findings reveal that DE is not a separate governance function but is embedded within existing governance mechanisms, materializing through structural, procedural, and relational mechanisms. By mapping DE practices onto these mechanisms, this study advances the theoretical understanding of the interplay between DG and DE and refines existing DG frameworks to integrate ethical considerations better. These insights provide organizations with a structured approach to institutionalizing DE, ensuring that ethical commitments are not merely aspirational but operationalized within DG.
AB - As organizations increasingly rely on data-driven decision-making, the integration of data ethics (DE) within data governance (DG) remains insufficiently understood. Existing DG prioritizes compliance, data quality, and efficiency, but lacks guidance on how DE can be systematically enacted. Therefore, this study addresses this gap by examining how organizations embed DE within governance mechanisms. Using a qualitative research approach, we conducted and analyzed interviews with DG professionals to identify and categorize DE practices. Our findings reveal that DE is not a separate governance function but is embedded within existing governance mechanisms, materializing through structural, procedural, and relational mechanisms. By mapping DE practices onto these mechanisms, this study advances the theoretical understanding of the interplay between DG and DE and refines existing DG frameworks to integrate ethical considerations better. These insights provide organizations with a structured approach to institutionalizing DE, ensuring that ethical commitments are not merely aspirational but operationalized within DG.
KW - Business informatics
KW - Data governance
KW - data ethics
KW - Governance mechanisms
KW - data ethics practices
UR - https://aisel.aisnet.org/amcis2025/data_eco/
M3 - Article in conference proceedings
T3 - The AMCIS proceedings series
BT - AMCIS 2025 Proceedings
PB - AIS eLibrary
CY - Atlanta
Y2 - 14 August 2025 through 16 August 2025
ER -