Szopinski, D., Schoormann, T., &; Kundisch, D. (2019). The long tail of taxonomy evaluation criteria: A structured overview. Proceedings of the 14th International Conference on Design Science Research in Information Systems and Technology (DESRIST). Digital Online Proceedings of the 14th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Worcester, USA.

Neumann, J., &; Gutt, D. (2019). Money Makes the Reviewer Go Round – Ambivalent Effects of Online Review Elicitation in B Markets. In Proceedings of the 25th Americas Conference on Information Systems (AMCIS). Cancun, Mexico.

Neumann, J., Gutt, D., Görzen, T., &; Kundisch, D. (2019). When does Local Status Matter? – The Relationship between Reviewer Location and Perceived Usefulness of Online Reviews. In Proceedings of the 25th Americas Conference on Information Systems (AMCIS). Cancun, Mexico.

Poniatowski, M., Neumann, J., &; Kundisch, D. (2019). Reviewing the Vendor or the Product – Analyzing Vendor versus Product Representation in B Review Systems. In Proceedings of the 25th Americas Conference on Information Systems (AMCIS). Cancun, Mexico.

Poniatowski, M., Neumann, J., Görzen, T., &; Kundisch, D. (2019). Organizing Their Thoughts – How Online Review Templates Affect the Review Text. In Proceedings of the 27th European Conference on Information Systems (ECIS). Stockholm, Sweden.

Gutt, D., &; Neumann, J. (2019). The Virtues of Anonymity - An Empirical Investigation of the Relationship between B Online Ratings and Reviewer Self-Disclosure. In Proceedings of the 27th European Conference on Information Systems (ECIS). Stockholm, Sweden.

Neumann, J., &; Gutt, D. (2019). He Who Pays the Piper Calls the Tune: Online Review Elicitation by Sellers and Third-Party Platforms in B Markets. In Proceedings of the 27th European Conference on Information Systems (ECIS). Stockholm, Sweden.

Bohn, N. (2019). Do Digital Startups Prepare for Technology Pivots? - An Initial Analysis of Job Adverts. In Proceedings of the 25th Americas Conference on Information Systems (AMCIS). Cancun, Mexico.

Szopinski, D. (2019). Can stimuli improve business model idea generation? Developing software-based tools for business model innovation. In Proceedings of the ACM Creativity &; Cognition. San Diego, USA.

Szopinski, D. (2019). Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models, 7(3), 90–100.

Gutt, D., Herrmann, P., &; Rahman, M. (2019). Crowd-Driven Competitive Intelligence: Understanding the Relationship between Local Market Competition and Online Rating Distributions. Information Systems Research, 30(3), 980–994.

Görzen, T. (2019). Can Experience be Trusted? Investigating the Effect of Experience on Decision Biases in Crowdworking Platforms. In Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS). Maui, Hawaii, USA.

Müller, M., &; Gutt, D. (2019). Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods. In Wirtschaftsinformatik Proceedings 2019. Siegen, Germany.

Poniatowski, M., Neumann, J., Görzen, T., &; Kundisch, D. (2019). A Semi-Automated Approach for Generating Online Review Templates, . In Wirtschaftsinformatik Proceedings 2019. Siegen, Germany.

Szopinski, D., John, T., &; Kundisch, D. (2019). Teaching business model innovation to large and interdisciplinary IS/IT classes: A didactic approach involving peer feedback via self-recorded video presentations. In TREO Talks in conjunction with the 40th International Conference on Information Systems (ICIS). Munich, Germany.

Szopinski, D. (2019). Activate software-based business model development tools: An exploratory study. Presented at the Bosch Business Model Innovation Summit 2019, Renningen, Germany.

Szopinski, D., John, T., &; Kundisch, D. (2019). Digital Tools for Teaching Business Model Innovation in Information Systems: A newly developed didactic approach comprising video-based peer feedback. Presented at the Workshop on Information Technology and Systems (WITS), Munich, Germany.

Görzen, T. (2019). Essays on Crowd Based Idea Evaluation - Empirical Evidence from an Anonymous Online Crowd. Universität Paderborn.

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