Veni, vidi, vici? On the rise of scrape‐and‐report scholarship in online reviews research
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DOI: 10.1002/asi.24729
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References listed on IDEAS
- Gordon Burtch & Yili Hong & Ravi Bapna & Vladas Griskevicius, 2018. "Stimulating Online Reviews by Combining Financial Incentives and Social Norms," Management Science, INFORMS, vol. 64(5), pages 2065-2082, May.
- Hang Yin & Shuang Zheng & William Yeoh & Jie Ren, 2021. "How online review richness impacts sales: An attribute substitution perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 901-917, July.
- Fred Fonseca, 2021. "Whether or when: The question on the use of theories in data science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(12), pages 1593-1604, December.
- Snehasish Banerjee & Alton Y. K. Chua & Jung-Jae Kim, 2017. "Don't be deceived: Using linguistic analysis to learn how to discern online review authenticity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1525-1538, June.
- Wanda J. Orlikowski & Susan V. Scott, 2014. "What Happens When Evaluation Goes Online? Exploring Apparatuses of Valuation in the Travel Sector," Organization Science, INFORMS, vol. 25(3), pages 868-891, June.
- Orlikowski, Wanda J. & Scott, Susan V., 2014. "What happens when evaluation goes online? Exploring apparatuses of valuation in the travel sector," LSE Research Online Documents on Economics 57602, London School of Economics and Political Science, LSE Library.
- Mingfeng Lin & Henry C. Lucas & Galit Shmueli, 2013. "Research Commentary ---Too Big to Fail: Large Samples and the p -Value Problem," Information Systems Research, INFORMS, vol. 24(4), pages 906-917, December.
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