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Content Contributor Management and Network Effects in a UGC Environment

Author

Listed:
  • Kaifu Zhang

    (INSEAD, 77300 Fontainebleau, France)

  • Theodoros Evgeniou

    (INSEAD, 77300 Fontainebleau, France)

  • V. Padmanabhan

    (INSEAD, Singapore 138676)

  • Emile Richard

    (CMLA ENS Cachan and 1000mercis Research Lab, 75009 Paris, France)

Abstract

The success of any user-generated content website depends crucially on its asset of content contributors. How firms should invest in the acquisition and retention of content contributors represents a novel question that is particularly important for these websites. We develop a vector autoregressive (VAR) model to measure the financial values of the retention and acquisition of both contributors and content consumers. In our empirical application to a customer-to-customer marketplace, we find that contributor (seller) acquisition has the largest financial value because of their strong network effects on content consumers (buyers) and other contributors. However, the wear-in of contributors' financial values takes longer because the network effects need time to be fully realized. Our simulation-based studies (i) shed light on the value implications of "enhancing network effects" and (ii) quantify the revenue contributions of marketing newsletter campaigns. Our results indicate that enhancing network effects in complementary ways can further increase the marginal benefits of acquisition and retention. We also find that simply tracking click-throughs may vastly underestimate the values of marketing newsletters--in our case, by more than a factor of 5--which may lead to suboptimal marketing effort allocation.

Suggested Citation

  • Kaifu Zhang & Theodoros Evgeniou & V. Padmanabhan & Emile Richard, 2012. "Content Contributor Management and Network Effects in a UGC Environment," Marketing Science, INFORMS, vol. 31(3), pages 433-447, May.
  • Handle: RePEc:inm:ormksc:v:31:y:2012:i:3:p:433-447
    DOI: 10.1287/mksc.1110.0639
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    9. Zhang, Mingyang & Zhang, Juliang & Cheng, T.C.E. & Hua, Guowei, 2018. "Why and how do branders sell new products on flash sale platforms?," European Journal of Operational Research, Elsevier, vol. 270(1), pages 337-351.
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    11. H. Mirzaei, Fouad & Ødegaard, Fredrik & Yan, Xinghao, 2015. "User reward programs in online social media," Omega, Elsevier, vol. 57(PB), pages 123-144.
    12. Hemang Subramanian & Sabyasachi Mitra & Sam Ransbotham, 2021. "Capturing Value in Platform Business Models That Rely on User-Generated Content," Organization Science, INFORMS, vol. 32(3), pages 804-823, May.
    13. Shimi Naurin Ahmad & Michel Laroche, 2023. "Extracting marketing information from product reviews: a comparative study of latent semantic analysis and probabilistic latent semantic analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 662-676, December.
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    15. Wang, Dianwen & Yang, Zhilin & Ding, Zhihua, 2019. "Is Sociability or Interactivity more Effective for Enhancing Performance? Findings from a Massively Multiplayer Online Role-Playing Game," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 106-119.
    16. 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.
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