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    Improving Data Quality in Construction Engineering Projects: An Action Design Research Approach

    Source: Journal of Management in Engineering:;2014:;Volume ( 030 ):;issue: 003
    Author:
    Soffi Westin
    ,
    Maung K. Sein
    DOI: 10.1061/(ASCE)ME.1943-5479.0000202
    Publisher: American Society of Civil Engineers
    Abstract: The topic of data and information quality (DQ/IQ) is a longstanding issue of interest in both academia and practice in the construction engineering field. Poor DQ/IQ has led to poor engineering drawings that, in turn, have led to delays and, eventually, cost overruns. In this paper, a study is reported that took an action design research (ADR) approach to develop and evaluate a DQ/IQ assessment tool, which is called the information quality system (IQS), in a large global engineering and construction company. The evaluation was performed by comparing the level of DQ/IQ in a project that used IQS with two projects that did not use the tool. The result is encouraging: The DQ/IQ in the project using IQS was significantly higher overall than in the two other projects. The implication is that a tool based on the design principles on which IQS was built is likely to help improve DQ/IQ in engineering systems and, hence, in engineering drawings. Consequently, it will decrease project delays and cost overruns. More generally, this paper adds to the discourse in the literature on the use of information and communication technologies (ICTs) in the construction context. This paper illustrates another successful application of action-oriented research that can solve practical problems while generating academic knowledge. In taking a design approach, the literature on the use of action research in construction engineering and management is augmented.
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      Improving Data Quality in Construction Engineering Projects: An Action Design Research Approach

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    https://yetl.yabesh.ir/yetl1/handle/yetl/66258
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    contributor authorSoffi Westin
    contributor authorMaung K. Sein
    date accessioned2017-05-08T21:54:47Z
    date available2017-05-08T21:54:47Z
    date copyrightMay 2014
    date issued2014
    identifier other%28asce%29me%2E1943-5479%2E0000237.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/66258
    description abstractThe topic of data and information quality (DQ/IQ) is a longstanding issue of interest in both academia and practice in the construction engineering field. Poor DQ/IQ has led to poor engineering drawings that, in turn, have led to delays and, eventually, cost overruns. In this paper, a study is reported that took an action design research (ADR) approach to develop and evaluate a DQ/IQ assessment tool, which is called the information quality system (IQS), in a large global engineering and construction company. The evaluation was performed by comparing the level of DQ/IQ in a project that used IQS with two projects that did not use the tool. The result is encouraging: The DQ/IQ in the project using IQS was significantly higher overall than in the two other projects. The implication is that a tool based on the design principles on which IQS was built is likely to help improve DQ/IQ in engineering systems and, hence, in engineering drawings. Consequently, it will decrease project delays and cost overruns. More generally, this paper adds to the discourse in the literature on the use of information and communication technologies (ICTs) in the construction context. This paper illustrates another successful application of action-oriented research that can solve practical problems while generating academic knowledge. In taking a design approach, the literature on the use of action research in construction engineering and management is augmented.
    publisherAmerican Society of Civil Engineers
    titleImproving Data Quality in Construction Engineering Projects: An Action Design Research Approach
    typeJournal Paper
    journal volume30
    journal issue3
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000202
    treeJournal of Management in Engineering:;2014:;Volume ( 030 ):;issue: 003
    contenttypeFulltext
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