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Introduction to the Special Issue on the Emergence and Impact of User-Generated Content

Author

Listed:
  • Peter S. Fader

    (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Russell S. Winer

    (Stern School of Business, New York University, New York, New York 10012)

Abstract

The growth of the "social" Web has resulted in the enormous growth of what is referred to as user-generated content, or UGC. UGC takes the form of product reviews, descriptions of product usage, "homemade advertising," blogs, and other consumer-initiated contributions. Following a research competition cosponsored by the Marketing Science Institute and the Wharton Interactive Media Initiative (now known as the Wharton Customer Analytics Initiative), a call for papers for a special issue of Marketing Science resulted in 69 submissions. Of these, eight papers were accepted, covering a range of issues such as how and why people make UGC contributions, the impact of UGC contributions, and new methods for analyzing UGC data.

Suggested Citation

  • Peter S. Fader & Russell S. Winer, 2012. "Introduction to the Special Issue on the Emergence and Impact of User-Generated Content," Marketing Science, INFORMS, vol. 31(3), pages 369-371, May.
    • Handle: RePEc:inm:ormksc:v:31:y:2012:i:3:p:369-371
    DOI: 10.1287/mksc.1120.0715
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    Cited by:

    1. Peters, Kay & Chen, Yubo & Kaplan, Andreas M. & Ognibeni, Björn & Pauwels, Koen, 2013. "Social Media Metrics — A Framework and Guidelines for Managing Social Media," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 281-298.
    2. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    3. Hitesh Sood & Rajendra Prasad Sharma, 2021. "Customer Digital Engagement and Lifetime Value: An Empirical Study of Telecom Services in India," FIIB Business Review, , vol. 12(4), pages 415-424, December.
    4. Xin (Shane) Wang & Feng Mai & Roger H. L. Chiang, 2014. "Database Submission ---Market Dynamics and User-Generated Content About Tablet Computers," Marketing Science, INFORMS, vol. 33(3), pages 449-458, May.
    5. Aron Culotta & Jennifer Cutler, 2016. "Mining Brand Perceptions from Twitter Social Networks," Marketing Science, INFORMS, vol. 35(3), pages 343-362, May.
    6. S. G. Li & Y. Q. Zhang & Z. X. Yu & F. Liu, 2021. "Economical user-generated content (UGC) marketing for online stores based on a fine-grained joint model of the consumer purchase decision process," Electronic Commerce Research, Springer, vol. 21(4), pages 1083-1112, December.
    7. Jianfu Wang & Ming Hu, 2020. "Efficient Inaccuracy: User-Generated Information Sharing in a Queue," Management Science, INFORMS, vol. 66(10), pages 4648-4666, October.
    8. Hasmat Malik & Asyraf Afthanorhan & Noor Aina Amirah & Nuzhat Fatema, 2021. "Machine Learning Approach for Targeting and Recommending a Product for Project Management," Mathematics, MDPI, vol. 9(16), pages 1-29, August.
    9. Leeflang, Peter S.H. & Verhoef, Peter C. & Dahlström, Peter & Freundt, Tjark, 2014. "Challenges and solutions for marketing in a digital era," European Management Journal, Elsevier, vol. 32(1), pages 1-12.
    10. Artem Timoshenko & John R. Hauser, 2019. "Identifying Customer Needs from User-Generated Content," Marketing Science, INFORMS, vol. 38(1), pages 1-20, January.
    11. Mengdi Wang & Dong Li, 2020. "What motivates audience comments on live streaming platforms?," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-12, April.
    12. Kim, Jikyung (Jeanne) & Song, Hyeasinn & Choi, Jeonghye & Kim, Yongseob & Hong, Jeonghan, 2021. "Channel stickiness in the shopping journey for electronics: Evidence from China and South Korea," Journal of Business Research, Elsevier, vol. 130(C), pages 506-516.
    13. Lu, Shijie & Xie, Ying & Chen, Xingyu, 2023. "Immediate and enduring effects of digital badges on online content consumption and generation," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 146-163.
    14. Christof Naumzik & Stefan Feuerriegel & Markus Weinmann, 2022. "I Will Survive: Predicting Business Failures from Customer Ratings," Marketing Science, INFORMS, vol. 41(1), pages 188-207, January.
    15. Maria Antonietta Raimondo & Stefania Farace & Gaetano Nino Miceli, 2018. "User-Generated Systems of Signs and Meanings in Product Customization: Taxonomies and Research Directions," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2018(2), pages 61-83.
    16. Mihalis Giannakis & Rameshwar Dubey & Shishi Yan & Konstantina Spanaki & Thanos Papadopoulos, 2022. "Social media and sensemaking patterns in new product development: demystifying the customer sentiment," Annals of Operations Research, Springer, vol. 308(1), pages 145-175, January.

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    Keywords

    user-generated content;

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