IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v74y2023i2p145-149.html
   My bibliography  Save this article

Veni, vidi, vici? On the rise of scrape‐and‐report scholarship in online reviews research

Author

Listed:
  • Philip Fei Wu

Abstract

JASIST has in recent years received many submissions reporting data analytics based on “Big Data” of online reviews scraped from various platforms. By outlining major issues in this type of scape‐and‐report scholarship and providing a set of recommendations, this essay encourages online reviews researchers to look at Big Data with a critical eye and treat online reviews as a sociotechnical “thing” produced within the fabric of sociomaterial life.

Suggested Citation

  • Philip Fei Wu, 2023. "Veni, vidi, vici? On the rise of scrape‐and‐report scholarship in online reviews research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(2), pages 145-149, February.
    • Handle: RePEc:bla:jinfst:v:74:y:2023:i:2:p:145-149
    DOI: 10.1002/asi.24729
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.24729
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.24729?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ziliang Deng & Peter W Liesch & Zeyu Wang, 2021. "Deceptive signaling on globalized digital platforms: Institutional hypnosis and firm internationalization," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(6), pages 1096-1120, August.
    2. Karunakaran, Arvind & Orlikowski, Wanda J. & Scott, Susan V., 2022. "Crowd-based accountability: examining how social media commentary reconfigures organizational accountability," LSE Research Online Documents on Economics 114401, London School of Economics and Political Science, LSE Library.
    3. Mennicken, Andrea & Kornberger, Martin, 2021. "Von performativität zu generativität: Bewertung und ihre Folgen im Kontext der Digitalisierung," LSE Research Online Documents on Economics 110925, London School of Economics and Political Science, LSE Library.
    4. Mucunska Palevska, Valentina & Novkovska, Blagica, 2018. "The Participation Of Ict In Activities Of Economic Subjects In Small Economy," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(2), pages 157-168.
    5. Zhewei Zhang & Youngjin Yoo & Kalle Lyytinen & Aron Lindberg, 2021. "The Unknowability of Autonomous Tools and the Liminal Experience of Their Use," Information Systems Research, INFORMS, vol. 32(4), pages 1192-1213, December.
    6. Scott, Susan V. & Orlikowski, Wanda J., 2022. "The digital undertow: how the corollary effects of digital transformation affect industry standards," LSE Research Online Documents on Economics 112426, London School of Economics and Political Science, LSE Library.
    7. Alex J. Wood, 2021. "Algorithmic Management: Consequences for Work Organisation and Working Conditions," JRC Working Papers on Labour, Education and Technology 2021-07, Joint Research Centre.
    8. Banerjee, Snehasish & Chua, Alton Y.K., 2023. "Understanding online fake review production strategies," Journal of Business Research, Elsevier, vol. 156(C).
    9. Franck Aggeri, 2017. "How can performativity contribute to management and organization research? Theoretical perspectives and analytical framework [Qu'est-ce que la performativité peut apporter aux recherches en managem," Post-Print hal-01609172, HAL.
    10. Marin, Alejandra & Dass, Mayukh & Boal, Kimberly, 2019. "Critic-buyer effects on valuation of ambiguously appraised products," Journal of Business Research, Elsevier, vol. 103(C), pages 45-55.
    11. Matt Beane & Wanda J. Orlikowski, 2015. "What Difference Does a Robot Make? The Material Enactment of Distributed Coordination," Organization Science, INFORMS, vol. 26(6), pages 1553-1573, December.
    12. Stella Pachidi & Hans Berends & Samer Faraj & Marleen Huysman, 2021. "Make Way for the Algorithms: Symbolic Actions and Change in a Regime of Knowing," Organization Science, INFORMS, vol. 32(1), pages 18-41, January.
    13. Metz, Ashley & Hartley, Paul, 2020. "Scenario development as valuation: Opportunities for reflexivity," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    14. Alaimo, Cristina & Kallinikos, Jannis, 2022. "Organizations decentered: data objects, technology and knowledge," LSE Research Online Documents on Economics 112470, London School of Economics and Political Science, LSE Library.
    15. repec:spo:wpmain:info:hdl:2441/5fb16v625i8vdbgdiskfbht5i5 is not listed on IDEAS
    16. Power, Michael, 2021. "Modelling the microfoundations of the audit society: organizations and the logic of the audit trail," LSE Research Online Documents on Economics 100243, London School of Economics and Political Science, LSE Library.
    17. Russ, Meir, 2016. "The probable foundations of sustainabilism: Information, energy and entropy based definition of capital, Homo Sustainabiliticus and the need for a “new gold”," Ecological Economics, Elsevier, vol. 130(C), pages 328-338.
    18. Tianshu Sun & Siva Viswanathan & Elena Zheleva, 2021. "Creating Social Contagion Through Firm-Mediated Message Design: Evidence from a Randomized Field Experiment," Management Science, INFORMS, vol. 67(2), pages 808-827, February.
    19. Maha Shaikh & Emmanuelle Vaast, 2023. "Algorithmic Interactions in Open Source Work," Information Systems Research, INFORMS, vol. 34(2), pages 744-765, June.
    20. Patrick Gregori & Patrick Holzmann, 2022. "Entrepreneurial practices and the constitution of environmental value for sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3302-3317, November.
    21. Rong, Ke & Sun, Hui & Li, Dun & Zhou, Di, 2021. "Matching as Service Provision of Sharing Economy Platforms: An Information Processing Perspective," Technological Forecasting and Social Change, Elsevier, vol. 171(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:74:y:2023:i:2:p:145-149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.