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

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.

• Publication year

  2016

• Venue

  IFIP International Conference on e-Business, e-Services, and e-Society

• Publication date

  2016-09-13

• Fields of study

  Business, Computer Science, Engineering

• Identifiers
  DOI 10.1007/978-3-319-45234-0_51
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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