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

In: Artificial Intelligence, Data, and Decision-Making

Author

Listed:
  • 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)

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.

Suggested Citation

  • Maximilian Habla & Stefan Napirata & Andrea Wrabel & Alexander Kupfer & Steffen Zimmermann, 2026. "Never Again “The Pizza was Great!”—Developing Design Principles for Dynamic Review Templates," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 447-462, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08480-4_28
    DOI: 10.1007/978-3-032-08480-4_28
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