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Original Article

The Effect of Rating Scales on Decision Quality and User Attitudes in Online Innovation Communities

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Pages 7-36 | Published online: 08 Dec 2014

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Read on this site (6)

Kai Wang, Boxiang Dong & Junjie Ma. (2023) Testing Computational Assessment of Idea Novelty in Crowdsourcing. Creativity Research Journal 0:0, pages 1-14.
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Kristen L. Guth & Daren C. Brabham. (2017) Finding the diamond in the rough: Exploring communication and platform in crowdsourcing performance. Communication Monographs 84:4, pages 510-533.
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Dimitrios Tsekouras. (2017) The Effect of Rating Scale Design on Extreme Response Tendency in Consumer Product Ratings. International Journal of Electronic Commerce 21:2, pages 270-296.
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Gregory D. Moody & Dennis F. Galletta. (2015) Lost in Cyberspace: The Impact of Information Scent and Time Constraints on Stress, Performance, and Attitudes Online. Journal of Management Information Systems 32:1, pages 192-224.
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Zoé Masson & Guy Parmentier. (2023) Drivers and mechanisms for online communities performance: A systematic literature review. European Management Journal 41:4, pages 590-606.
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Long Ren, Bin Zhu & Zeshui Xu. (2022) Continuous Exp Strategy for Consumer Preference Analysis Based on Online Ratings. IEEE Transactions on Fuzzy Systems 30:7, pages 2621-2633.
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Steven Hoornaert, Michel Ballings, Edward C. Malthouse & Dirk Van den Poel. (2017) Identifying New Product Ideas: Waiting for the Wisdom of the Crowd or Screening Ideas in Real Time. Journal of Product Innovation Management 34:5, pages 580-597.
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Julia Amann, Claudia Zanini & Sara Rubinelli. (2016) What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review. PLOS ONE 11:6, pages e0156175.
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Yujong Hwang & Jaeseok Jeong. (2014) Electronic commerce and online consumer behavior research. Information Development 32:3, pages 377-388.
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Ivo Blohm, Christoph Riedl, Johann Füller & Jan Marco Leimeister. (2016) Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing. Information Systems Research 27:1, pages 27-48.
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Peter R. Magnusson, Erik Wästlund & Johan Netz. (2016) Exploring Users' Appropriateness as a Proxy for Experts When Screening New Product/Service Ideas. Journal of Product Innovation Management 33:1, pages 4-18.
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Michael M. Gierczak, Ulrich Bretschneider, Philipp Haas, Ivo Blohm & Jan Marco Leimeister. 2016. Crowdfunding in Europe. Crowdfunding in Europe 7 23 .
Mark Klein & Ana Cristina Bicharra Garcia. (2015) High-speed idea filtering with the bag of lemons. Decision Support Systems 78, pages 39-50.
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Chao-Min Chiu, Ting-Peng Liang & Efraim Turban. (2014) What can crowdsourcing do for decision support?. Decision Support Systems 65, pages 40-49.
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Aurelien Quignon. (2021) Information Frictions and Early-Stage Investors: Evidence from a Crowd-Rating Platform. SSRN Electronic Journal.
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Ana Cristina Garcia & Mark Klein. (2017) pBOL: An Idea Filtering Method Based on Negative Multi-Voting and Pareto Aggregation. SSRN Electronic Journal.
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Julia Troll, Ivo Blohm & Jan Marco Leimeister. (2016) Revealing the Impact of the Crowdsourcing Experience on the Engagement Process. SSRN Electronic Journal.
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Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel, Karl Michael Popp & Jan Marco Leimeister. (2017) Finding the Unicorn: Predicting Early Stage Startup Success Through a Hybrid Intelligence Method. SSRN Electronic Journal.
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Kai Wang, Hui Wang & Yu Tao. (2017) Combining Ideas in Crowdsourced Idea Generation. SSRN Electronic Journal.
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Mark Klein & Ana Cristina Bicharra Garcia. (2014) High-Speed Idea Filtering with the Bag of Lemons. SSRN Electronic Journal.
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Mark Klein & Ana Cristina Bicharra Garcia. (2014) The Bag of Stars: High-Speed Idea Filtering for Open Innovation. SSRN Electronic Journal.
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