Never Again “The Pizza was Great!”—Developing Design Principles for Dynamic Review Templates

Maximilian Habla (), Stefan Napirata (), Andrea Wrabel (), Alexander Kupfer () and Steffen Zimmermann ()
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Maximilian Habla: Ulm University, Institute of Business Analytics
Stefan Napirata: Ulm University, Institute of Business Analytics
Andrea Wrabel: Ulm University, Institute of Business Analytics
Alexander Kupfer: University of Innsbruck, Department of Information Systems, Production and Logistics Management, and Research Area Digital Science Center (DiSC)
Steffen Zimmermann: Ulm University, Institute of Business Analytics

A chapter in Artificial Intelligence, Data, and Decision-Making, 2026, pp 447-462 from Springer

Abstract: Abstract Online review system providers often use review templates to guide reviewers in sharing their product experiences in online consumer reviews. However, there is a huge number of reviews that cover similar product aspects and provide repetitive and less diverse information. To address this issue, we propose to use review templates that dynamically adapt to existing product information in reviews to guide reviewers towards sharing product experiences that have not or only rarely been shared before. Employing the design science research paradigm, we derive design requirements and develop design principles for the design of dynamic review templates. Based on an instantiated dynamic review template following these principles, we show that they successfully guide reviewers towards providing more diverse product information in reviews while maintaining high reviewer engagement. We contribute to research and practice by providing prescriptive design knowledge on dynamic review templates.

Keywords: Dynamic review template; Diverse information; Review writing; Existing reviews; Design science research (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-08480-4_28

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