Coordinating Data-Driven Decision-Making in Public Asset Management Organizations: A Quasi-Experiment for Assessing the Impact of Data Governance on Asset Management Decision Making

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

Public organizations are facing increasing challenges to the management of their infrastructure assets. New sources of data, such as social media and IoT, can provide new insights for organizations to help them deal with these challenges. Yet data must be of sufficient quality in order to be acted upon. The objective of this study is to develop and approach to evaluate how data governance improves decision-making in asset management organizations. This paper describes a quasi-experiment which identifies and quantifies relationships between data governance and improvements in asset management decision-making. The quasi-experiment focusses on data requirements for determining current and future asset conditions, which is critical for assessing remaining service life and risk of failure. The quasi-experiment utilizes a pre-test post-test control group design. We expect that the inclusion of data governance improves the quality of data which allows for improved decision-making in asset management organizations.
Original languageEnglish
Title of host publicationProceedings of 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E
Subtitle of host publicationSocial Media: The Good, the Bad, and the Ugly
Pages573-583
DOIs
Publication statusPublished - 2016
Event15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016: Social Media: The Good, the Bad, and the Ugly - Swansea, United Kingdom
Duration: 13 Sept 201615 Sept 2016

Conference

Conference15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016
Country/TerritoryUnited Kingdom
CitySwansea
Period13/09/1615/09/16

Keywords

  • data
  • data governance
  • data quality
  • data management
  • experiment

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