Managing data and information quality in construction engineering : a system design approach
Year: 2014
Type: dissertation
Abstract: Following the ADR method made it possible not only to develop a tool, but also to\nformulate design principles and abstract the findings to a generalizable level.\nThis study contributes to knowledge and practice in several ways. First, I offer five design\nprinciples for DQ/IQ assessment tools. These design principles are specifically aimed at\nmitigating the unavoidable challenges and their consequences in construction engineering\nprojects. By accepting these unavoidable challenges and consequences and subsequently\nproviding means for managing the results in a controlled manner, these principles makes\nit possible to avoid project delays and still reach a sufficient level of DQ/IQ in the end.\nSecond, the development and implementation of a tool in which these design principles\nare embedded demonstrates the effectiveness of the design principles. A formal\nevaluation performed by comparing a project that used the tool with two projects that did\nnot, showed a significantly better level of DQ/IQ in the project using the tool.\nThird, as a result of implementing the tool in a total of 12 construction engineering\nprojects, it was possible to determine three needed and sufficient quality dimensions for\nrule-based assessment. This finding offers valuable information to theory as well as to\npractitioners aiming at assessing DQ/IQ in their projects.\nFourth, by revealing the relationship between unavoidable challenges and their\nconsequences in construction engineering, this thesis offers unique insights into the nature\nof projects in that field, which is highly needed when performing DQ/IQ assessment.\nThese insights will help DQ/IQ researchers enhance their understanding of a very\ncomplex and under-researched context.\nFifth, by providing a ranked list of DQ/IQ problems experienced at EUMEC, this thesis\noffers a more detailed explanation of DQ/IQ problems causing delays and cost overruns\nthan is the case in previous research.\nAll in all, this research reduces a gap in the existing literature, namely the scarce amount\nof DQ/IQ research on construction engineering. The complexity of this industry makes it\ndifficult and time consuming for an information systems researcher to fully understand\nthe nature of construction engineering. This complexity might explain the scarce amount\nof research in this cross-disciplinary field, and this thesis helps reduce that gap.
Author: Soffi Westin
Language: English
Topic: Data Quality and Management
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2496078164