Analysis of empirical studies in design research
Wayne Toh, Helena Hashemi Farzaneh, Manuela Kaiser, U. Lindemann
Abstract
Wayne Toh, Helena Hashemi Farzaneh, Manuela Kaiser, U. Lindemann
Abstract
To achieve scientific findings, design research relies on data – data which has to be collected in empirical studies. Design researchers have to choose between a multitude of data collection and analysis methods and a variety of possible study designs. But how to choose the most suitable methods and study designs? To learn from best practice, we analysed empirical studies in journal and conference publications. This provided insights with regards to successful use of data collection and analysis methods and study designs. Moreover, we observed “gaps” of data collection in design research.
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To achieve scientific findings, design research relies on data – data which has to be collected in empirical studies. Design researchers have to choose between a multitude of data collection and analysis methods and a variety of possible study designs. But how to choose the most suitable methods and study designs? To learn from best practice, we analysed empirical studies in journal and conference publications. This provided insights with regards to successful use of data collection and analysis methods and study designs. Moreover, we observed “gaps” of data collection in design research.
Key concepts: Data collection, Research design, Multitude, Variety (cybernetics), Data science, Computer science, Empirical research, Management science