Managing Collaborative Design Processes in Construction Projects
Research output: Book/Report › Doctoral thesis › Collection of Articles
|Number of pages||64|
|Publication status||Published - 8 Nov 2019|
|Publication type||G5 Doctoral dissertation (article)|
|Name||Tampere University Dissertations|
The research contains multiple case studies with a mixed method approach. The data has been collected from six small-scale renovation projects (the cases) by using collec- tion strategies of quantitative user satisfaction surveys, quantified analysis over user workshop materials and qualitative analysis over project documentation of the case pro- jects. The analysis focuses on data in which communication concerning value-in-use information between stakeholders is observable, for example, the design instructions and meeting memos, and the satisfaction survey data, which is used to reflect the quality of the design output.
The dissertation identifies patterns in stakeholder interactions that enhance the value delivery.
The identified patterns have been divided into (i) patterns of value creation im- pact of design tasks and (ii) patterns of quality enhancing management of interactions in collaborative design.
The dissertation contributes to the existing body of knowledge on design management in a construction project by studying the projects' processes from the perspective of value co-creation and quality engineering. The research provides novel insight to design man- agement and elaborates on the understanding of design management as socially con- structed processual phenomenon. The research demonstrates how the processual na- ture of a construction project can be observed by examining the dynamics of the infor- mation flows, and how the management procedures should be planned according to the users' ability to produce information.
The dissertation suggests that in the future it would be highly interesting to apply the suggested procedures in a wider range of cases, for example, large building complexes and projects, where the user needs must be anticipated due to late user engagement.