Liu, Xuanhui, Werder, Karl ORCID: 0000-0001-8481-1596 and Maedche, Alexander ORCID: 0000-0001-6546-4816 (2020). Novice Digital Service Designers’ Decision-Making with Decision Aids — A Comparison of Taxonomy and Tags. Decision support systems : DSS ; the international journal, 137. Elsevier. ISSN 0167-9236

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Digital services are a key driver of contemporary businesses. In order to scale the implementation of design-centric development processes, companies increasingly assign design work to design novices. As design novices have limited design knowledge and experience, they are challenged to select adequate design techniques throughout the entire lifecycle of digital services. Thus, providing decision aids to design novices is becoming increasingly important. In this research, we investigate taxonomy-based and tags-based decision aids. We draw on cognitive fit theory to construct a research model explaining the relationship between different decision aids and selection accuracy while considering the cognitive effort and the decision styles of novice designers. To test our hypotheses, we conducted a between-subject laboratory experiment with 195 subjects. Our experimental results provide extensive support to our hypotheses. Taxonomy-based decision aids outperform tags-based decision aids concerning selection accuracy mediated by cognitive effort. Furthermore, the results suggest rational decision style as a moderator in the relationship between taxonomy-based decision aids and selection accuracy. Our results have practical implications: First, taxonomy-based decision aids should be primarily leveraged on decision support platforms supporting design processes. Second, design novices’ decision style and cognitive effort are influential factors when developing decision aids to support digital service design processes.

Item Type: Journal Article
CreatorsEmailORCIDORCID Put Code
URN: urn:nbn:de:hbz:38-114719
DOI: 10.1016/j.dss.2020.113367
Journal or Publication Title: Decision support systems : DSS ; the international journal
Volume: 137
Date: 2020
Publisher: Elsevier
ISSN: 0167-9236
Language: English
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Weitere Institute, Arbeits- und Forschungsgruppen > Cologne Institute for Information Systems (CIIS)
Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Chair for Information Systems and Systems Development
Subjects: Library and information sciences
Social sciences
Technology (Applied sciences)
Refereed: Yes


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